Tokenizer: 4epoch_complete/tokenizer/ Model: 4epoch_complete/model/
	Train size: 80 Test size: 20


		-------------RUN 1-----------
			------------EPOCH 1---------------
Loss: tensor(3589.5137, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3984.5518, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8766.3809, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3940.3276, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1467.1890, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1340.1860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1709.3669, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1948.8372, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1755.9009, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1924.5862, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4818.0254, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3441.6880, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3474.6958, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2099.2690, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3726.6355, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2029.9327, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2586.3467, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2030.4774, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1876.5146, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2312.1321, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2064.6025, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1724.6458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(978.8748, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2018.2402, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2633.0889, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1080.8905, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2168.9453, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1898.5718, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2541.0059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1939.7771, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1870.0853, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1105.5082, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3372.0708, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4249.3066, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1937.3762, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1439.8250, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2229.9385, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1761.7712, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2422.4248, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2386.0146, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2594.5161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1963.2068, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3621.4226, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2293.7612, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3042.2402, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1250.6775, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.022113022113022112, 'recall': 0.036734693877551024, 'f1': 0.027607361963190184, 'number': 245}, 'P': {'precision': 0.05405405405405406, 'recall': 0.005390835579514825, 'f1': 0.009803921568627453, 'number': 371}, 'overall_precision': 0.024774774774774775, 'overall_recall': 0.017857142857142856, 'overall_f1': 0.02075471698113207, 'overall_accuracy': 0.40581535115333983}
			------------EPOCH 2---------------
Loss: tensor(2440.0674, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2661.7051, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5696.8838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2463.1748, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1016.8333, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(946.9995, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1280.0217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1445.6201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1238.7850, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1364.1418, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3823.2683, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2654.8135, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2823.0483, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1596.6749, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2803.5146, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1541.1230, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1937.0435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1472.1036, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1489.6917, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1821.1260, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1758.5642, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1511.4211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(759.2842, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1699.6938, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2291.3276, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(953.6543, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1858.6799, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1617.0022, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2002.3196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1607.7395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1518.9067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(930.5345, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2705.0942, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3542.4541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1689.8611, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1215.7269, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1902.7002, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1473.2003, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1834.1364, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1897.6484, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2276.5986, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1681.6869, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3067.5344, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2088.4067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2616.8271, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1128.2405, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.06387665198237885, 'recall': 0.11836734693877551, 'f1': 0.08297567954220315, 'number': 245}, 'P': {'precision': 0.11764705882352941, 'recall': 0.03773584905660377, 'f1': 0.05714285714285715, 'number': 371}, 'overall_precision': 0.07504363001745201, 'overall_recall': 0.0698051948051948, 'overall_f1': 0.07232968881412952, 'overall_accuracy': 0.4775341995306508}
			------------EPOCH 3---------------
Loss: tensor(2007.0132, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2205.7134, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4777.3174, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2040.0879, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1053.3152, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(925.8687, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1241.3651, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1198.7013, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1029.0555, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1118.1718, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3228.7642, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2295.6135, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2539.6494, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1339.4601, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2215.3806, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1251.0732, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1592.4404, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1176.1415, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1231.9509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1536.1399, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1549.8419, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1307.5527, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(656.4314, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1557.8762, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2122.0977, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(900.2441, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1652.9321, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1361.8313, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1683.9507, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1357.6721, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1270.2306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(787.8477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2141.1309, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2881.8579, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1428.7798, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(954.8555, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1493.2743, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1210.0867, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1474.3274, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1519.2925, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1883.6337, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1381.4934, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2526.5283, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1684.3606, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2108.3118, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(869.3245, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.17318435754189945, 'recall': 0.3795918367346939, 'f1': 0.23785166240409208, 'number': 245}, 'P': {'precision': 0.46153846153846156, 'recall': 0.14555256064690028, 'f1': 0.22131147540983612, 'number': 371}, 'overall_precision': 0.22477064220183487, 'overall_recall': 0.23863636363636365, 'overall_f1': 0.231496062992126, 'overall_accuracy': 0.5000858565623032}
			------------EPOCH 4---------------
Loss: tensor(1628.1465, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1734.1641, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3789.0879, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1628.4551, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(755.5029, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(718.1505, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(986.6926, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1023.0396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(892.5018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(917.8860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2612.9216, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1944.1948, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2098.2361, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1020.0171, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1678.9648, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1047.4490, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1225.7051, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(885.3940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1026.5022, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1224.8519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1235.5010, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1058.3718, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(523.4707, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1294.1880, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1836.6956, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(714.7742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1358.2294, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1113.7998, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1264.1077, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1054.3922, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1071.2427, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(601.8527, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1588.5787, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2120.6296, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1114.9443, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(581.7228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1153.3408, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(911.4907, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1034.2911, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1109.9312, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1376.5173, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(966.3412, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1939.6293, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1387.7975, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1799.6998, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(727.6253, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.2564102564102564, 'recall': 0.4897959183673469, 'f1': 0.33660589060308554, 'number': 245}, 'P': {'precision': 0.5319148936170213, 'recall': 0.2695417789757412, 'f1': 0.3577817531305903, 'number': 371}, 'overall_precision': 0.3353658536585366, 'overall_recall': 0.35714285714285715, 'overall_f1': 0.3459119496855346, 'overall_accuracy': 0.5829660580390361}
			------------EPOCH 5---------------
Loss: tensor(1153.7297, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1180.3788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2840.0300, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1196.3225, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(542.8809, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(529.9680, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(695.4492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(767.6904, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(702.6821, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(713.2322, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1902.4614, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1377.1208, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1471.8330, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(612.9929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1015.5124, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(820.1523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(903.0328, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(647.0728, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(738.0714, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(906.0457, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(918.3532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(775.9472, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(408.4179, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1009.8678, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1421.8054, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(520.1444, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1009.7032, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(784.0466, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1036.3955, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(750.9811, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(871.2547, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(459.5441, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1161.4763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1451.4531, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(810.1987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(355.6176, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(764.8184, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(674.9394, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(729.3282, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(790.7973, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(904.7795, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(649.5435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1275.6620, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(954.6929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1348.9973, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(488.4529, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3022222222222222, 'recall': 0.5551020408163265, 'f1': 0.39136690647482014, 'number': 245}, 'P': {'precision': 0.5780346820809249, 'recall': 0.2695417789757412, 'f1': 0.36764705882352944, 'number': 371}, 'overall_precision': 0.37881219903691815, 'overall_recall': 0.38311688311688313, 'overall_f1': 0.380952380952381, 'overall_accuracy': 0.6032854444508042}
			------------EPOCH 6---------------
Loss: tensor(926.8448, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(836.2912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2222.9341, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(791.2818, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(356.0776, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(286.2528, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(418.9382, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(504.2093, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(555.2809, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(505.2213, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1244.4154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(781.5616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1071.2035, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(388.4326, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(686.5233, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(718.5056, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(632.4139, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(368.3851, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(537.9827, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(593.9086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(517.5028, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(453.4471, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(318.8112, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(662.5618, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(959.8138, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(371.6945, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(713.9786, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(503.0585, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(907.1110, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(560.5104, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(625.3661, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(363.7830, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(883.4236, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1084.6819, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(599.0359, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(270.7488, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(406.2442, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(396.6185, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(475.4543, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(596.2333, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(606.3232, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(428.8142, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(821.2621, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(651.5965, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1087.6656, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(351.1815, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3370165745856354, 'recall': 0.746938775510204, 'f1': 0.4644670050761422, 'number': 245}, 'P': {'precision': 0.6963350785340314, 'recall': 0.3584905660377358, 'f1': 0.47330960854092524, 'number': 371}, 'overall_precision': 0.4305177111716621, 'overall_recall': 0.512987012987013, 'overall_f1': 0.46814814814814815, 'overall_accuracy': 0.5941846488466602}
			------------EPOCH 7---------------
Loss: tensor(736.3019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(680.1290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1643.6744, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(652.0366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(306.0841, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(185.4057, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(289.1876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(331.3716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(482.1216, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(441.1561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(934.7818, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(628.0427, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(856.7507, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(239.1541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(368.6407, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(488.8088, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(412.9711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(197.1212, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(244.4756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(326.3726, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(320.6198, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(281.7726, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(265.7360, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(447.8410, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(773.5823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(233.0010, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(472.2025, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(393.6305, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(719.3891, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(426.5441, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(675.4287, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(213.8059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(750.5685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1048.2751, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(452.6642, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(142.8201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(242.7049, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(269.2087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(227.1903, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(366.9105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(354.4272, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(276.8058, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(574.9154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(526.4534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(629.7762, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(203.4173, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.33396584440227706, 'recall': 0.7183673469387755, 'f1': 0.45595854922279794, 'number': 245}, 'P': {'precision': 0.5562130177514792, 'recall': 0.25336927223719674, 'f1': 0.3481481481481481, 'number': 371}, 'overall_precision': 0.3879310344827586, 'overall_recall': 0.4383116883116883, 'overall_f1': 0.41158536585365857, 'overall_accuracy': 0.5943563619712666}
			------------EPOCH 8---------------
Loss: tensor(489.9508, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(351.6523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(943.8116, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(270.9794, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(222.8327, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.4357, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(204.4102, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(229.8568, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(296.1995, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(274.9798, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(520.0642, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(340.4077, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(363.1341, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(117.4031, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(200.9754, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(390.3031, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(282.6001, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(127.9122, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.0210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(183.5543, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(237.3869, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(216.5647, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(164.5665, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(247.2464, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(325.6889, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(161.2099, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(259.2354, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.5537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(615.7363, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(174.2633, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(272.3089, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(108.7940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(377.9048, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(519.2563, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(241.9153, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.4269, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(227.3702, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(185.8315, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(215.0771, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(386.2565, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(536.7042, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(229.3465, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(543.8682, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(629.5425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(404.0713, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.2024, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3070469798657718, 'recall': 0.746938775510204, 'f1': 0.4351961950059452, 'number': 245}, 'P': {'precision': 0.6071428571428571, 'recall': 0.2749326145552561, 'f1': 0.3784786641929499, 'number': 371}, 'overall_precision': 0.3730366492146597, 'overall_recall': 0.46266233766233766, 'overall_f1': 0.4130434782608696, 'overall_accuracy': 0.5715185163986034}
			------------EPOCH 9---------------
Loss: tensor(287.4201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(244.6035, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(643.3962, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(180.0690, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(237.7424, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.9263, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(222.9766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(301.3236, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(485.8261, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(399.8807, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(929.2800, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(780.6688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(464.7246, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(161.6808, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(386.3706, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(388.6590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(254.7240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(124.6871, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(173.7843, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(210.6596, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(227.6040, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(173.8770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(156.8572, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(178.8244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(374.9099, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(163.5916, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(213.0152, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(150.2556, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(524.3660, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(179.2228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(249.9410, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.0118, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(570.4935, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(673.4682, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(459.9947, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(248.3253, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(203.5598, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(137.2352, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(150.4142, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(268.7684, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(327.9790, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(199.8675, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(514.3108, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(441.9668, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(875.1338, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(168.9352, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.38461538461538464, 'recall': 0.6122448979591837, 'f1': 0.4724409448818898, 'number': 245}, 'P': {'precision': 0.6301369863013698, 'recall': 0.6199460916442049, 'f1': 0.625, 'number': 371}, 'overall_precision': 0.5033112582781457, 'overall_recall': 0.6168831168831169, 'overall_f1': 0.5543398978847557, 'overall_accuracy': 0.68439127697327}
			------------EPOCH 10---------------
Loss: tensor(764.1629, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(490.5621, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1071.6709, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(437.3200, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(214.3164, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.6050, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(138.4413, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(130.8991, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(285.8031, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(282.9726, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(476.1866, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(397.3531, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2064.6611, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1154.3108, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2468.6494, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1646.8619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(773.3121, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(468.8069, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(475.6825, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(946.8915, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(323.8209, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(273.6395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(210.5738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(502.0185, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(434.9544, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(142.7353, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(371.1712, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(242.5322, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(515.3177, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.2639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(279.0497, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(151.8346, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(362.9218, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(642.8526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(407.0468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(201.9417, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(526.2432, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(345.2625, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(373.3926, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(590.4189, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(966.7794, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(787.1469, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1577.7943, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1470.3743, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2219.0352, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(826.5413, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4621212121212121, 'recall': 0.24897959183673468, 'f1': 0.3236074270557029, 'number': 245}, 'P': {'precision': 0.4744645799011532, 'recall': 0.7762803234501348, 'f1': 0.5889570552147239, 'number': 371}, 'overall_precision': 0.4722598105548038, 'overall_recall': 0.5665584415584416, 'overall_f1': 0.5151291512915129, 'overall_accuracy': 0.6537691030851125}
			------------EPOCH 11---------------
Loss: tensor(1244.1831, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1535.1146, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4088.9575, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2109.9893, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(440.7416, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(294.2057, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(317.5998, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(386.7227, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(366.3228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(328.4774, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1085.7872, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(694.2788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(782.6705, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(351.9729, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(536.5522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(462.5885, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(800.4007, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(547.1724, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(673.9277, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(815.2932, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1054.6704, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1089.9192, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(811.1775, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1420.1448, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1810.4059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(523.1951, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2183.6104, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2008.2117, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2208.8267, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1506.4674, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1591.8694, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1080.5208, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1863.6760, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2080.6384, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1423.8723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(457.5601, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(739.9839, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(621.5789, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1139.7731, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(980.2766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(719.7263, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(590.3260, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1132.8298, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(797.1688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1154.1605, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(461.6784, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4218009478672986, 'recall': 0.363265306122449, 'f1': 0.3903508771929825, 'number': 245}, 'P': {'precision': 0.4971857410881801, 'recall': 0.7142857142857143, 'f1': 0.586283185840708, 'number': 371}, 'overall_precision': 0.47580645161290325, 'overall_recall': 0.5746753246753247, 'overall_f1': 0.5205882352941176, 'overall_accuracy': 0.6683647186766641}
			------------EPOCH 12---------------
Loss: tensor(925.3641, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(866.1168, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2229.8289, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(981.6351, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(482.7468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(369.9361, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(498.8574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(676.8834, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(720.7916, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(657.5693, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1815.1870, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1259.7778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1287.4851, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(773.1415, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(995.2115, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(657.5301, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(827.8656, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(523.3016, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(564.5432, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(727.2939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(702.3887, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(569.0391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(390.3992, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(703.8167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(913.3886, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(388.9667, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(556.4836, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(481.6337, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(669.1033, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(390.4671, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(403.4689, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(288.7963, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(622.3226, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(747.9138, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(558.9178, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(306.8885, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(503.4121, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(326.3091, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(431.4786, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(444.8018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(481.7883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(407.3324, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(752.6972, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(747.0690, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(708.2492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(280.8073, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4440993788819876, 'recall': 0.5836734693877551, 'f1': 0.5044091710758378, 'number': 245}, 'P': {'precision': 0.5954773869346733, 'recall': 0.6388140161725068, 'f1': 0.6163849154746424, 'number': 371}, 'overall_precision': 0.5277777777777778, 'overall_recall': 0.6168831168831169, 'overall_f1': 0.5688622754491018, 'overall_accuracy': 0.7009329746436953}
			------------EPOCH 13---------------
Loss: tensor(450.6363, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(380.1160, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1014.9957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(444.6176, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(179.2617, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(143.3423, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(164.9403, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(268.8690, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(285.6487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(280.5385, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(695.2874, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(460.0493, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(547.4925, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(236.0382, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(290.9464, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(398.9037, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(409.5675, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(155.3755, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(211.0999, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(272.6251, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(313.3419, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(226.6214, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(262.1406, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(220.3823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(480.7033, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(131.8188, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(478.9634, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(310.3276, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(658.8990, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(145.9863, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(566.1624, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(360.9611, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(697.8536, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(634.8628, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(336.3800, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(144.8521, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(297.2351, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(206.9073, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(396.9796, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(271.7972, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(207.2549, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(178.4526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(354.4070, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(274.3956, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(354.7430, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(115.0799, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4577114427860697, 'recall': 0.37551020408163266, 'f1': 0.4125560538116593, 'number': 245}, 'P': {'precision': 0.5980629539951574, 'recall': 0.6657681940700808, 'f1': 0.6301020408163265, 'number': 371}, 'overall_precision': 0.5521172638436482, 'overall_recall': 0.5503246753246753, 'overall_f1': 0.5512195121951219, 'overall_accuracy': 0.7302959189514052}
			------------EPOCH 14---------------
Loss: tensor(402.6746, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(276.0422, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(959.8753, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(376.1044, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(327.6176, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(170.4067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(145.4913, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(392.0957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(403.1615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(349.1354, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1075.9554, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(653.5557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(395.3078, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(173.7253, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(242.1318, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(333.0611, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(358.6289, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.3639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(156.9869, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(152.2011, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(129.4794, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.8902, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.8383, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.2742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(205.9127, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.4412, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(182.3549, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.9135, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(380.3935, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.9212, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(284.7141, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(220.1685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(854.6766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(728.5200, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(256.2595, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(101.1074, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(274.0520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(403.2049, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(596.7987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(247.2851, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(304.7855, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(242.2985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(350.6449, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(327.6067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(193.0906, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.3302, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4197860962566845, 'recall': 0.6408163265306123, 'f1': 0.507269789983845, 'number': 245}, 'P': {'precision': 0.6489675516224189, 'recall': 0.5929919137466307, 'f1': 0.619718309859155, 'number': 371}, 'overall_precision': 0.5287517531556802, 'overall_recall': 0.612012987012987, 'overall_f1': 0.5673438675696012, 'overall_accuracy': 0.7086028275427851}
			------------EPOCH 15---------------
Loss: tensor(125.7176, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(125.8163, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(322.5383, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.8712, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(105.8253, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.0268, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.3814, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.1894, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.3287, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(98.2151, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(229.6332, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(203.3970, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(348.5214, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(156.0490, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(87.9442, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(223.8734, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(238.8508, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(107.6081, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(138.8912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(261.9915, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(194.6837, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(111.9272, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(126.1842, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(107.5172, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(161.6240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(90.1692, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.8479, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.5128, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(238.9083, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.9504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.1771, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.6761, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(134.2815, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(232.0104, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.0831, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.2183, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.1143, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.2341, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(97.9974, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(99.1034, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.3266, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.3718, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(110.9138, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(133.5533, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(167.6305, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.7258, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4793103448275862, 'recall': 0.5673469387755102, 'f1': 0.5196261682242991, 'number': 245}, 'P': {'precision': 0.6104513064133017, 'recall': 0.692722371967655, 'f1': 0.648989898989899, 'number': 371}, 'overall_precision': 0.5569620253164557, 'overall_recall': 0.6428571428571429, 'overall_f1': 0.5968349660889224, 'overall_accuracy': 0.7191918035601854}
			------------EPOCH 16---------------
Loss: tensor(115.1751, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(87.0038, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(243.8913, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.1577, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.7417, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.0026, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.1234, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(92.1089, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.6105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.7708, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(156.7355, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(147.7914, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(113.5381, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.4719, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.1443, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(150.7588, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(151.2678, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.8085, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.0081, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.2806, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.9036, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.4058, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(87.2613, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.6174, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(92.9361, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.4836, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.3756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.2486, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(164.0620, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.1037, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.5624, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.0731, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(87.9819, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(123.6220, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(77.7960, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.2486, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.6364, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.8566, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.3424, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.5742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(77.9953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.9292, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.5952, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.8320, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(97.2747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.2564, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.43258426966292135, 'recall': 0.6285714285714286, 'f1': 0.5124792013311147, 'number': 245}, 'P': {'precision': 0.6200527704485488, 'recall': 0.633423180592992, 'f1': 0.6266666666666667, 'number': 371}, 'overall_precision': 0.5292517006802722, 'overall_recall': 0.6314935064935064, 'overall_f1': 0.5758697261287935, 'overall_accuracy': 0.71798981168794}
			------------EPOCH 17---------------
Loss: tensor(61.5368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.4200, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.0605, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.9187, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.0982, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.8670, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.2293, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.7698, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.0224, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.3924, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.0146, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(124.2671, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.3791, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.5323, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.4110, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(107.7869, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(97.0234, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.9152, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.9287, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.9909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.6793, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.7411, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.5177, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.5579, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.6851, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.5252, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.8622, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.3775, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(121.1807, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.8047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.0212, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.8552, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.0665, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.3423, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.8535, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.0742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.1419, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.2796, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.9569, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.3448, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.4931, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.8774, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.2327, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.5076, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.7160, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.44785276073619634, 'recall': 0.5959183673469388, 'f1': 0.5113835376532399, 'number': 245}, 'P': {'precision': 0.618925831202046, 'recall': 0.6522911051212938, 'f1': 0.6351706036745407, 'number': 371}, 'overall_precision': 0.5411436541143654, 'overall_recall': 0.6298701298701299, 'overall_f1': 0.5821455363840959, 'overall_accuracy': 0.7161009673172686}
			------------EPOCH 18---------------
Loss: tensor(44.3455, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.1537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(119.9027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.9744, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.3761, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.3949, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.7929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.4532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.3908, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.4185, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.0681, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.9645, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.7235, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.6447, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.6383, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(87.9435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.9397, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.1324, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.1548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.9450, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.0767, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.3473, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.9579, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.6828, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.5847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.2036, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.3193, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.5196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.3822, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.2083, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.0359, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.1749, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.7486, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.4018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.9602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1116, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.3902, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.1912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.7011, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.8860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.1012, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.4425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.2176, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.7580, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.5613, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5717, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.45454545454545453, 'recall': 0.5918367346938775, 'f1': 0.5141843971631205, 'number': 245}, 'P': {'precision': 0.6155778894472361, 'recall': 0.660377358490566, 'f1': 0.6371911573472041, 'number': 371}, 'overall_precision': 0.5439330543933054, 'overall_recall': 0.6331168831168831, 'overall_f1': 0.5851462865716429, 'overall_accuracy': 0.7177036231469291}
			------------EPOCH 19---------------
Loss: tensor(29.8067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9276, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.4581, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.4299, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.5446, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2323, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.5826, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.7080, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.4706, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.2336, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.9298, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.0164, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.5813, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.4482, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.8143, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.0902, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.6815, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.6105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.4626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.9420, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.6663, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.1595, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.1072, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.0653, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.8685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.9545, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.9679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8384, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.2174, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.3895, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.6312, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5236, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.4988, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.1568, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.0390, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.3525, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.6766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.7746, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.3189, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.3574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.5366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.6830, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.7014, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.3645, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.4496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3189, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4492307692307692, 'recall': 0.5959183673469388, 'f1': 0.5122807017543859, 'number': 245}, 'P': {'precision': 0.6014669926650367, 'recall': 0.6630727762803235, 'f1': 0.6307692307692309, 'number': 371}, 'overall_precision': 0.5340599455040872, 'overall_recall': 0.6363636363636364, 'overall_f1': 0.5807407407407408, 'overall_accuracy': 0.7191918035601854}
			------------EPOCH 20---------------
Loss: tensor(36.4973, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.6357, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(90.2807, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.7281, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.1861, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.7343, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.6179, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.6769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.5838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.8975, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.6601, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.4797, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.2422, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9302, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.8509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.2676, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.5518, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.5986, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.8399, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.0119, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.0976, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.5504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.2145, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6994, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.2876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.7443, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.1987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.8007, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.0497, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.9479, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.1810, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3315, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.1660, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.4463, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.5557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.1633, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.5321, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.1417, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1513, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2030, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.7623, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.9368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.9310, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.5515, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.2519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.1425, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4380664652567976, 'recall': 0.5918367346938775, 'f1': 0.5034722222222222, 'number': 245}, 'P': {'precision': 0.5922330097087378, 'recall': 0.6576819407008087, 'f1': 0.6232439335887611, 'number': 371}, 'overall_precision': 0.5235531628532974, 'overall_recall': 0.6314935064935064, 'overall_f1': 0.5724797645327446, 'overall_accuracy': 0.7143838360712037}
			------------EPOCH 21---------------
Loss: tensor(17.0324, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.5243, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.9979, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.0354, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.1446, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.1341, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.5306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.2310, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.8635, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.1445, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.5624, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.0258, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.7907, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.4697, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.0655, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.9743, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.9235, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.1618, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.3566, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.0990, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.1263, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.9767, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.4230, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.0912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.5699, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.6317, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.6888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.5195, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.6840, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.1979, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.4375, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7203, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.6614, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.8072, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.8350, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4850, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.1901, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2913, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.3601, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.3831, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.5511, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7970, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.3494, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.5401, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.6594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.5006, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4525993883792049, 'recall': 0.6040816326530613, 'f1': 0.5174825174825175, 'number': 245}, 'P': {'precision': 0.5975609756097561, 'recall': 0.660377358490566, 'f1': 0.6274007682458387, 'number': 371}, 'overall_precision': 0.5332428765264586, 'overall_recall': 0.637987012987013, 'overall_f1': 0.5809312638580931, 'overall_accuracy': 0.7189628527273768}
			------------EPOCH 22---------------
Loss: tensor(14.7118, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.8454, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.6250, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.4203, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.5690, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.9899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.7035, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.2607, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.8262, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1776, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.9633, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.6719, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.4459, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.9956, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.7351, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3567, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.9192, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.0784, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.0274, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.8259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.2986, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.5284, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.3207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5811, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.0355, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.1935, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.3129, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7491, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.9127, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.2395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.5433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.4959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.7574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.0090, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.6544, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.9650, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.6867, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.7583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3624, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.4370, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.3312, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.1836, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.6757, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.44545454545454544, 'recall': 0.6, 'f1': 0.511304347826087, 'number': 245}, 'P': {'precision': 0.5926829268292683, 'recall': 0.6549865229110512, 'f1': 0.6222791293213829, 'number': 371}, 'overall_precision': 0.527027027027027, 'overall_recall': 0.6331168831168831, 'overall_f1': 0.575221238938053, 'overall_accuracy': 0.7180470493961422}
			------------EPOCH 23---------------
Loss: tensor(12.5442, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1900, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.1247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.9756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.0051, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.9055, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.2352, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.4557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.7415, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.9187, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.1790, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9269, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2956, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.1955, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.3929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.6439, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.2837, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.6728, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5996, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.3712, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9829, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.5020, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.2334, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.6741, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.0252, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.4626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.4035, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.0121, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.6907, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.7648, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.1368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.5985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.1900, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.5939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5919, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3135, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.9234, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.8608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5314, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5236, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.1581, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.6793, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6151, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.44011976047904194, 'recall': 0.6, 'f1': 0.5077720207253885, 'number': 245}, 'P': {'precision': 0.5941320293398533, 'recall': 0.6549865229110512, 'f1': 0.6230769230769231, 'number': 371}, 'overall_precision': 0.5248990578734859, 'overall_recall': 0.6331168831168831, 'overall_f1': 0.5739514348785871, 'overall_accuracy': 0.7180470493961422}
			------------EPOCH 24---------------
Loss: tensor(11.1101, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.0024, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.7801, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.3052, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.0979, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.1980, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.3526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.1911, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7497, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.6762, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.5563, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.0013, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.4971, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5184, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.5161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.5006, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.6405, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.1868, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.2062, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.4818, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.3096, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.5672, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.8741, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5859, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.5340, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.1632, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5500, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.3637, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3472, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.3414, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.2528, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.1367, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9530, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5900, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.1558, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9917, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.8429, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.2120, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.0366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6308, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.8939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.8817, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9768, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.6963, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.7966, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4306784660766962, 'recall': 0.5959183673469388, 'f1': 0.5, 'number': 245}, 'P': {'precision': 0.5878048780487805, 'recall': 0.6495956873315364, 'f1': 0.617157490396927, 'number': 371}, 'overall_precision': 0.5166889185580774, 'overall_recall': 0.6282467532467533, 'overall_f1': 0.567032967032967, 'overall_accuracy': 0.7155858279434492}
			------------EPOCH 25---------------
Loss: tensor(10.0198, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.9793, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.8801, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.0307, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.1308, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.6923, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.7968, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.1840, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8793, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.5554, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.4615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.1860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.6750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.2062, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.1419, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.8598, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.1774, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3858, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.2578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.5586, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.9134, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3293, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4320, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8745, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.8293, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6197, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.6345, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4962, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.6163, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1348, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.8840, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.9755, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.8890, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.3792, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.7796, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4292, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4123, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.6060, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.1132, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.6059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.3761, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.6232, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.2617, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.2214, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2052, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4332344213649852, 'recall': 0.5959183673469388, 'f1': 0.5017182130584192, 'number': 245}, 'P': {'precision': 0.587378640776699, 'recall': 0.6522911051212938, 'f1': 0.6181353767560664, 'number': 371}, 'overall_precision': 0.5180240320427236, 'overall_recall': 0.6298701298701299, 'overall_f1': 0.5684981684981686, 'overall_accuracy': 0.7165016312746838}
			------------EPOCH 26---------------
Loss: tensor(9.3108, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3147, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.8589, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.0493, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.0169, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3421, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.3887, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.4801, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.5221, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1436, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.6633, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.4695, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0809, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.1382, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.5245, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.5377, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.6957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.3934, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.2508, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4072, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.0165, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5521, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4717, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.2206, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.6251, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.9375, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3044, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5601, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.3946, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5357, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.0871, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.6683, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.7419, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.0365, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.9335, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.4231, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.3555, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.4212, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.4157, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3976, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9693, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.1796, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.6039, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.1126, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.2439, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.6898, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4417910447761194, 'recall': 0.6040816326530613, 'f1': 0.5103448275862069, 'number': 245}, 'P': {'precision': 0.5970873786407767, 'recall': 0.6630727762803235, 'f1': 0.6283524904214559, 'number': 371}, 'overall_precision': 0.5274431057563588, 'overall_recall': 0.6396103896103896, 'overall_f1': 0.5781364636830522, 'overall_accuracy': 0.7199931314750158}
			------------EPOCH 27---------------
Loss: tensor(10.1473, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5918, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.1684, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1096, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.6966, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.7101, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.6512, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.2452, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.3120, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.5702, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.7593, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.8570, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.0699, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.4881, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.9337, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.1676, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.2933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.3059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.6805, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.0370, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.4434, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.1935, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.9287, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.6331, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.0545, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3581, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.6987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.9093, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3719, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.7114, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3353, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.8176, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.7387, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.5409, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.3727, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.8701, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.7616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.1225, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1386, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.9831, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.7727, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.8142, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.43843843843843844, 'recall': 0.5959183673469388, 'f1': 0.5051903114186851, 'number': 245}, 'P': {'precision': 0.5938242280285035, 'recall': 0.6738544474393531, 'f1': 0.6313131313131313, 'number': 371}, 'overall_precision': 0.5251989389920424, 'overall_recall': 0.6428571428571429, 'overall_f1': 0.5781021897810219, 'overall_accuracy': 0.7182760002289509}
			------------EPOCH 28---------------
Loss: tensor(11.1858, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.4982, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.7054, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.4954, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.0759, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.9823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.8059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5502, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.1842, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.0586, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8991, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.9651, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.4641, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.4949, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.0420, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5579, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.7982, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.9036, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3684, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7371, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0051, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0402, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.1813, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.4033, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5049, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.3543, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0786, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.0990, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.6499, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.9873, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.5925, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.8455, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.6397, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.5487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.4968, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.1658, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.9817, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.5755, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3598, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.9025, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.3588, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.1304, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3249, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.3956, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.44545454545454544, 'recall': 0.6, 'f1': 0.511304347826087, 'number': 245}, 'P': {'precision': 0.5928571428571429, 'recall': 0.6711590296495957, 'f1': 0.629582806573957, 'number': 371}, 'overall_precision': 0.528, 'overall_recall': 0.6428571428571429, 'overall_f1': 0.5797950219619328, 'overall_accuracy': 0.7178180985633336}
			------------EPOCH 29---------------
Loss: tensor(11.9489, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.7227, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.1786, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.1568, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.9644, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4856, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.3740, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0858, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.2374, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.5565, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.8895, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.7413, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.9379, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.0623, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5960, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.5914, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.5996, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.5743, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.4929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.9411, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.6951, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.3248, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3331, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.3433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.8460, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7056, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.4310, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.1372, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.3337, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.7062, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4223, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2024, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.7540, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.0932, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.9524, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.8245, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.1848, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.2839, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.4556, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1943, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.7759, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.3601, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.9189, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.44477611940298506, 'recall': 0.6081632653061224, 'f1': 0.5137931034482758, 'number': 245}, 'P': {'precision': 0.5985576923076923, 'recall': 0.6711590296495957, 'f1': 0.6327827191867853, 'number': 371}, 'overall_precision': 0.5299600532623169, 'overall_recall': 0.6461038961038961, 'overall_f1': 0.5822970007315289, 'overall_accuracy': 0.7192490412683876}
			------------EPOCH 30---------------
Loss: tensor(7.5488, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.0711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.3741, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3214, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.3826, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.1914, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3587, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3451, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.5139, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2692, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.9774, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.2840, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5643, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.6489, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.5982, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.3366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.3192, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.3068, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.8128, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.2535, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.7916, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.1065, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.9444, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.9854, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.4785, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.4763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1970, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3275, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8505, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.5447, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.2433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.8991, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.2396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.1259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.2742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.8893, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5829, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.6006, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.0002, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.8944, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.2162, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.0865, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.4086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8676, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.3619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.5578, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4391691394658754, 'recall': 0.6040816326530613, 'f1': 0.5085910652920963, 'number': 245}, 'P': {'precision': 0.5985576923076923, 'recall': 0.6711590296495957, 'f1': 0.6327827191867853, 'number': 371}, 'overall_precision': 0.5272244355909694, 'overall_recall': 0.6444805194805194, 'overall_f1': 0.5799853907962015, 'overall_accuracy': 0.7193062789765898}


		-------------RUN 2-----------
			------------EPOCH 1---------------
Loss: tensor(3235.7480, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3605.8735, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1218.7688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2063.6406, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1548.3096, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1970.5750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2253.2720, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2512.2134, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2507.4282, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4021.5886, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2839.7239, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2372.0293, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3307.5515, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7983.5356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3318.9631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2474.2207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2226.0044, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1764.8073, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4888.4658, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4468.7290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4435.4976, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1972.5281, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2908.9158, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1900.3093, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1670.2585, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2137.3257, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2754.7612, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2718.8301, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3079.0508, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2065.8823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3269.3115, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2196.7507, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2108.1616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3172.8999, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1378.6610, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2778.7737, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2005.4635, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2076.4082, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1976.5756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1822.1409, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2385.0410, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2883.0488, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2579.5088, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3343.5981, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1270.7118, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 340}, 'P': {'precision': 0.14497041420118342, 'recall': 0.2481012658227848, 'f1': 0.18300653594771243, 'number': 395}, 'overall_precision': 0.14432989690721648, 'overall_recall': 0.13333333333333333, 'overall_f1': 0.1386138613861386, 'overall_accuracy': 0.4993170953790121}
			------------EPOCH 2---------------
Loss: tensor(1996.0155, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2307.8198, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(752.4828, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1231.8784, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(985.4121, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1305.4254, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1574.4768, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1559.1135, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1737.2339, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2990.2434, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2001.2778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1448.5194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2292.4578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5754.4111, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2301.5742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1872.1929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1715.6106, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1422.1306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3986.3674, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3622.3823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3663.7959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1497.8933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2236.4919, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1928.6084, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1720.2417, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2146.9624, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2327.3303, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2226.4219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2513.3940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1902.7310, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2713.2422, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1917.6736, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1693.7635, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2801.6235, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1150.8850, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2145.9314, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1639.4099, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1761.4506, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1649.2678, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1581.3782, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2094.1104, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2343.1426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2289.2292, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2803.6562, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1090.1084, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.11764705882352941, 'recall': 0.0058823529411764705, 'f1': 0.011204481792717085, 'number': 340}, 'P': {'precision': 0.2702702702702703, 'recall': 0.4810126582278481, 'f1': 0.34608378870673956, 'number': 395}, 'overall_precision': 0.26666666666666666, 'overall_recall': 0.2612244897959184, 'overall_f1': 0.26391752577319594, 'overall_accuracy': 0.5244138402003187}
			------------EPOCH 3---------------
Loss: tensor(1754.5492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2098.1116, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(631.4420, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1083.4048, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(935.7722, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1174.0723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1420.7323, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1431.0693, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1529.4286, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2720.0168, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1825.2693, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1184.3269, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1914.9236, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4883.8452, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1906.8508, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1587.9877, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1451.4907, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1219.1631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3322.2466, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2950.2524, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2876.6416, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1295.4216, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1952.0226, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1440.0488, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1293.5161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1616.0511, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2142.8398, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2001.1853, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2200.1052, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1681.9653, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2277.9639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1732.0546, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1306.0122, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2363.8450, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(997.9951, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1789.3815, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1348.5066, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1531.5765, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1434.8184, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1376.9060, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1861.0156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1947.4922, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2075.2422, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2460.5479, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(926.5305, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.2, 'recall': 0.061764705882352944, 'f1': 0.09438202247191012, 'number': 340}, 'P': {'precision': 0.2892670157068063, 'recall': 0.5594936708860759, 'f1': 0.3813632441760138, 'number': 395}, 'overall_precision': 0.27848101265822783, 'overall_recall': 0.3292517006802721, 'overall_f1': 0.3017456359102244, 'overall_accuracy': 0.546380605508764}
			------------EPOCH 4---------------
Loss: tensor(1445.2578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1733.7573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(528.5774, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(920.8894, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(776.4290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1012.7952, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1220.6256, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1169.8240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1323.8439, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2499.7520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1650.5071, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1027.0371, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1673.4617, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4415.7617, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1632.8995, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1435.9858, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(976.0356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(999.1395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3070.8096, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2506.2622, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2290.8721, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1105.4720, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1660.0610, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(943.9666, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(844.6461, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1139.8774, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1780.9824, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1601.3982, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1873.7517, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1616.5132, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1990.9258, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1539.1799, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1067.9272, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1906.3888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(893.4318, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1549.3955, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1053.6023, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1355.8708, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1278.9678, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1155.7607, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1517.0532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1489.9990, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1809.2607, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2101.9602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(792.8203, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.21311475409836064, 'recall': 0.07647058823529412, 'f1': 0.11255411255411256, 'number': 340}, 'P': {'precision': 0.28989037758830694, 'recall': 0.6025316455696202, 'f1': 0.39144736842105265, 'number': 395}, 'overall_precision': 0.2799575821845175, 'overall_recall': 0.35918367346938773, 'overall_f1': 0.3146603098927294, 'overall_accuracy': 0.5695993626223538}
			------------EPOCH 5---------------
Loss: tensor(1210.7644, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1390.2314, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(434.5350, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(807.2175, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(655.1711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(827.8652, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1037.3867, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1044.2966, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1209.0876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2401.0095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1541.4861, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(940.1622, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1466.6044, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4127.1709, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1459.2959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1287.7318, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(890.4698, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(973.0170, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3073.2769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2568.3923, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2474.5518, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1000.9424, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1841.4832, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(900.5330, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(669.1400, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(937.3802, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1347.0923, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1576.9333, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1642.1477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1266.3396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1614.6139, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1264.0846, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1034.4709, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1779.0066, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(908.0523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1630.5437, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1216.1394, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1261.2505, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1777.2302, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1183.7152, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1187.3914, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1561.8937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2045.3193, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2419.0466, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(784.4706, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.37828371278458844, 'recall': 0.6352941176470588, 'f1': 0.4742041712403952, 'number': 340}, 'P': {'precision': 0.6035087719298246, 'recall': 0.43544303797468353, 'f1': 0.5058823529411764, 'number': 395}, 'overall_precision': 0.4532710280373832, 'overall_recall': 0.527891156462585, 'overall_f1': 0.48774355751099935, 'overall_accuracy': 0.6576371500113818}
			------------EPOCH 6---------------
Loss: tensor(1120.2141, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1240.7308, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(468.7984, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(737.2717, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(583.3102, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(798.9105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(759.5118, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(967.5775, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(937.9768, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1595.6091, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1099.2712, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(682.1865, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1067.7516, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3294.8035, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1043.2782, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1093.1667, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(681.9849, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(956.4459, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3114.9390, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2280.7065, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2640.4331, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(877.9529, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1675.3025, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(718.2149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(474.2163, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(833.5568, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1030.6068, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1574.7545, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1706.5452, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1196.6189, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1256.1992, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(995.9511, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(653.5527, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1599.1658, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(645.5928, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1090.1279, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(759.1172, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1007.1210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(830.5957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(836.1219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(891.5565, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1057.9492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1337.8619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1812.6880, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(695.1509, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.37745098039215685, 'recall': 0.22647058823529412, 'f1': 0.28308823529411764, 'number': 340}, 'P': {'precision': 0.4818355640535373, 'recall': 0.6379746835443038, 'f1': 0.5490196078431372, 'number': 395}, 'overall_precision': 0.45254470426409904, 'overall_recall': 0.44761904761904764, 'overall_f1': 0.45006839945280436, 'overall_accuracy': 0.6870589574322786}
			------------EPOCH 7---------------
Loss: tensor(1408.0742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1454.9523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(437.6001, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(778.3643, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(516.2638, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(637.1056, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1081.5767, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1032.9354, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(879.5975, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1653.5806, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1140.2603, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(787.7310, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(984.9838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3114.5769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1028.8368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(936.5262, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(636.1425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(668.5598, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2056.9541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1487.0856, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1625.9585, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(716.5566, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1343.0623, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(412.0383, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(394.5497, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(649.1259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(944.9301, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1091.0791, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1305.7361, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1078.2732, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1135.0552, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(938.9154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(582.1373, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1476.2595, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(528.1399, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1016.8857, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(679.2744, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1092.3552, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(823.2643, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(716.5436, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(857.8336, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(888.5354, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1343.9971, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1578.0536, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(511.9225, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.45066666666666666, 'recall': 0.4970588235294118, 'f1': 0.4727272727272728, 'number': 340}, 'P': {'precision': 0.48940269749518306, 'recall': 0.6430379746835443, 'f1': 0.5557986870897156, 'number': 395}, 'overall_precision': 0.47315436241610737, 'overall_recall': 0.5755102040816327, 'overall_f1': 0.5193370165745855, 'overall_accuracy': 0.6945139995447303}
			------------EPOCH 8---------------
Loss: tensor(674.1208, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(810.8581, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(299.4000, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(455.4583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(300.9803, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(394.8456, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(532.8879, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(711.1178, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(583.5800, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(982.3820, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(576.2130, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(391.9175, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(609.0246, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2173.2700, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(644.3920, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(673.3712, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(329.7120, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(587.8173, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1328.4249, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(844.6583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1005.7900, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(468.0126, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(836.7842, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(257.3616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(257.7986, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(341.1897, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(666.2267, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(621.3405, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(750.6073, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(593.1036, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(786.3569, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(555.3108, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(350.5115, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(801.0778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(386.8953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(918.6079, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(294.8495, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(613.8594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(482.8557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(356.8298, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(313.4552, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(428.4144, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(844.6838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1147.8175, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(411.4109, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.6296296296296297, 'recall': 0.35, 'f1': 0.44990548204158787, 'number': 340}, 'P': {'precision': 0.5234657039711191, 'recall': 0.7341772151898734, 'f1': 0.6111696522655428, 'number': 395}, 'overall_precision': 0.550471063257066, 'overall_recall': 0.5564625850340136, 'overall_f1': 0.5534506089309877, 'overall_accuracy': 0.7286592305941271}
			------------EPOCH 9---------------
Loss: tensor(453.7933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(558.1025, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(164.5069, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(379.5508, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(156.6012, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(265.2104, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(484.6064, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(596.0193, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(422.6940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(806.2457, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(383.5173, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(213.9496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(348.8118, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1450.0881, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(460.4389, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(473.9156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(208.6376, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(367.3067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(875.2755, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(531.5829, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(714.6356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(279.6924, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(509.3875, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.2948, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(155.5775, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(219.6207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(454.3769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(468.3391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(465.3345, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(424.5190, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(572.1199, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(388.6309, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(258.4019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(589.1907, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(251.5826, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(701.3133, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(148.3312, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(492.9741, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(339.6847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(228.5598, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(212.0351, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(288.2537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(500.5613, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(694.5916, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(262.0470, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.48903508771929827, 'recall': 0.6558823529411765, 'f1': 0.5603015075376885, 'number': 340}, 'P': {'precision': 0.6334310850439883, 'recall': 0.5468354430379747, 'f1': 0.5869565217391304, 'number': 395}, 'overall_precision': 0.5508155583437893, 'overall_recall': 0.5972789115646259, 'overall_f1': 0.5731070496083551, 'overall_accuracy': 0.7181311176872297}
			------------EPOCH 10---------------
Loss: tensor(339.6992, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(625.4197, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(251.0047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(398.5827, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.4218, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(154.2213, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(264.4418, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(379.1008, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(299.0882, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(537.7911, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(290.5670, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(134.4949, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(412.7216, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1337.3928, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(558.8973, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(595.2438, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(224.1228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(266.2191, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(822.6250, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(662.0273, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(466.0098, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(151.5150, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(320.6163, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(143.3027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(158.7635, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(208.3138, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(558.9972, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(588.4695, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(851.8428, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(837.2203, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1320.7531, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1005.6858, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(234.4738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(483.6441, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(225.3571, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(563.2709, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(110.4684, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(343.3795, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(263.8726, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(163.2646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(269.3729, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(379.8392, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(714.7522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(988.2239, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(350.6654, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.585635359116022, 'recall': 0.31176470588235294, 'f1': 0.4069097888675624, 'number': 340}, 'P': {'precision': 0.5, 'recall': 0.789873417721519, 'f1': 0.6123650637880275, 'number': 395}, 'overall_precision': 0.5192546583850932, 'overall_recall': 0.5687074829931973, 'overall_f1': 0.5428571428571428, 'overall_accuracy': 0.7153425904848623}
			------------EPOCH 11---------------
Loss: tensor(346.1006, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(473.5773, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(165.9053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(367.8373, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(76.5335, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(143.8778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(293.3527, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(345.1585, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(287.9842, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(485.9136, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(217.6842, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(115.8805, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(221.2061, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(810.5256, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(270.6058, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(259.2177, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.7881, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(156.8108, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(485.8093, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(315.8136, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(468.9010, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.3325, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(274.7923, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.2555, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(104.7788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(137.0899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(330.5053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(316.5185, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(230.8710, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(250.6653, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(392.7628, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(141.8338, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(154.2387, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(323.6133, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(174.8160, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(384.0775, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(122.8876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(350.6611, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(322.9060, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(214.1449, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(156.0782, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(328.5610, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(455.3506, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(568.1844, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.5252, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5231143552311436, 'recall': 0.6323529411764706, 'f1': 0.5725699067909454, 'number': 340}, 'P': {'precision': 0.6151515151515151, 'recall': 0.5139240506329114, 'f1': 0.56, 'number': 395}, 'overall_precision': 0.5641025641025641, 'overall_recall': 0.5687074829931973, 'overall_f1': 0.5663956639566395, 'overall_accuracy': 0.7188709310266332}
			------------EPOCH 12---------------
Loss: tensor(133.3128, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(278.5193, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.0983, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(164.7606, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.1910, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(149.5945, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(198.3041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(278.8590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(147.0189, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(259.5676, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.7231, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.3245, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(124.3461, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(443.1699, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(199.2656, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(174.9352, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.0080, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(149.1671, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(347.5189, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(257.5862, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(412.9912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(301.7690, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(444.2856, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(271.3681, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.5640, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(137.1162, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(253.3172, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(313.9992, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(144.9992, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(165.9418, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(354.0769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(92.1855, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(106.0096, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(233.4095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.5105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(264.8458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.5965, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(227.8740, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(152.5370, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(141.2506, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(183.5745, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(554.6832, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(340.3353, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(451.1631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(173.1837, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.421474358974359, 'recall': 0.7735294117647059, 'f1': 0.545643153526971, 'number': 340}, 'P': {'precision': 0.6904761904761905, 'recall': 0.3670886075949367, 'f1': 0.4793388429752066, 'number': 395}, 'overall_precision': 0.4892086330935252, 'overall_recall': 0.5551020408163265, 'overall_f1': 0.520076481835564, 'overall_accuracy': 0.6606533120874117}
			------------EPOCH 13---------------
Loss: tensor(121.9293, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(320.3275, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.1240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(182.6159, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.0452, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(147.9553, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(294.9841, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(311.6824, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(209.6508, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(268.7195, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(221.5961, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.3428, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(99.3253, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(506.8134, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(162.5857, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(155.6808, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.3116, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(94.1361, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(281.7733, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(153.1079, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(314.0582, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(143.4632, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(202.6649, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(212.8541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(263.4462, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(256.5000, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(411.2363, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(374.6537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(223.0247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(312.8167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(517.6403, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(294.9893, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.3446, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(284.6000, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(176.8514, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(653.3763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.7323, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(133.3562, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(77.7065, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.7730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.7427, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.1483, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(176.6720, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(269.4679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.2735, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3953125, 'recall': 0.7441176470588236, 'f1': 0.516326530612245, 'number': 340}, 'P': {'precision': 0.5862068965517241, 'recall': 0.21518987341772153, 'f1': 0.3148148148148148, 'number': 395}, 'overall_precision': 0.4305732484076433, 'overall_recall': 0.4598639455782313, 'overall_f1': 0.4447368421052632, 'overall_accuracy': 0.6213293876621898}
			------------EPOCH 14---------------
Loss: tensor(108.2875, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(285.5519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.1950, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(131.7405, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.2395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(292.1392, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(487.0934, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(401.2719, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(528.0177, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1022.4249, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(888.0292, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(211.9882, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(211.2561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(951.5393, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(321.5832, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(337.2573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.0089, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.5472, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(409.9922, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(195.8788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(283.7393, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.6069, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(137.1475, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.1883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(145.9381, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(232.6251, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(584.5784, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(500.3226, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1114.6711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(514.2540, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(863.4512, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(446.4534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(454.3014, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1024.5271, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(778.9097, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1262.1095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(446.2401, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(346.3644, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(575.9833, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(402.0595, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.4752, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(165.2363, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(317.2753, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(599.3450, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.6822, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.43562610229276894, 'recall': 0.7264705882352941, 'f1': 0.5446527012127894, 'number': 340}, 'P': {'precision': 0.6269230769230769, 'recall': 0.41265822784810124, 'f1': 0.49770992366412214, 'number': 395}, 'overall_precision': 0.4957678355501814, 'overall_recall': 0.5578231292517006, 'overall_f1': 0.5249679897567221, 'overall_accuracy': 0.6813680855907125}
			------------EPOCH 15---------------
Loss: tensor(127.5360, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(214.3137, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.5925, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(135.2831, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.1065, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(137.7058, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(250.7583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(325.6682, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(368.2947, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(434.0535, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(583.3380, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(193.6998, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(378.0404, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1872.1177, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(586.7822, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(537.5713, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1280.6631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(675.9618, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2728.0757, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1996.7928, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(806.0645, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(403.5627, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(581.6188, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.8286, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.6682, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(91.3716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(201.4136, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(174.5496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(207.8496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(177.1716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(357.0631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(135.3341, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(158.7131, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(283.3793, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(190.9367, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(392.8936, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(374.7701, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(230.8358, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(493.4407, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(450.7079, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(381.8134, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(480.5281, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1535.1030, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2234.9697, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(455.8622, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.6302521008403361, 'recall': 0.22058823529411764, 'f1': 0.32679738562091504, 'number': 340}, 'P': {'precision': 0.4920886075949367, 'recall': 0.7873417721518987, 'f1': 0.6056475170399221, 'number': 395}, 'overall_precision': 0.5139813581890812, 'overall_recall': 0.5251700680272109, 'overall_f1': 0.5195154777927322, 'overall_accuracy': 0.7116435237878443}
			------------EPOCH 16---------------
Loss: tensor(485.1752, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(552.1268, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(164.0785, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(525.7259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(241.6092, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(187.3092, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(451.8368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(550.4784, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(434.3279, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(783.5364, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(316.1665, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(174.2413, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(275.2953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(742.0669, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(334.4796, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(251.4316, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.8933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(87.1104, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(298.0201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(226.0175, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(238.4472, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(102.5728, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(188.3073, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.8383, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.4126, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.6916, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(184.6483, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.0225, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(238.7516, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(269.2313, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(513.4329, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(195.0439, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(188.2807, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(441.8575, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(184.2940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(524.7443, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(180.1924, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(348.1842, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(214.6980, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(158.1597, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.3998, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(199.5782, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(269.6520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(253.8642, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.5892, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.47265625, 'recall': 0.711764705882353, 'f1': 0.568075117370892, 'number': 340}, 'P': {'precision': 0.6539792387543253, 'recall': 0.47848101265822784, 'f1': 0.5526315789473685, 'number': 395}, 'overall_precision': 0.5380774032459426, 'overall_recall': 0.5863945578231292, 'overall_f1': 0.5611979166666667, 'overall_accuracy': 0.7048713862963806}
			------------EPOCH 17---------------
Loss: tensor(63.9433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(159.1047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.0399, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.0390, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.0548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(108.1059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(156.5784, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(121.1695, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(148.8768, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(179.6177, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(102.9007, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.1748, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(122.2751, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(265.1288, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(112.6254, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(153.9708, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.7913, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(108.8246, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(293.0786, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(125.6221, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(219.5601, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.9686, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(238.3072, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.4709, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.8904, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.3838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.0561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.9359, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.7733, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(116.0463, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(293.0730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.2707, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.5850, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(138.1359, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.4849, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(193.1314, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.5450, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.4510, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.4610, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.3184, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.9849, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.5371, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(201.6036, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(219.8403, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.2961, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5936507936507937, 'recall': 0.55, 'f1': 0.5709923664122138, 'number': 340}, 'P': {'precision': 0.5588235294117647, 'recall': 0.6734177215189874, 'f1': 0.6107921928817451, 'number': 395}, 'overall_precision': 0.572692793931732, 'overall_recall': 0.6163265306122448, 'overall_f1': 0.5937090432503277, 'overall_accuracy': 0.750341452310494}
			------------EPOCH 18---------------
Loss: tensor(61.5578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.7227, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.3569, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(99.9636, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.0465, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(108.2588, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(137.5246, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(110.0956, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(152.8164, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(214.3110, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.5002, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.7132, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.3590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(205.5748, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(90.3807, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(116.4348, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.7815, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.3079, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(120.1701, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(115.4343, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(148.0487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.4623, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(76.9485, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.1768, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.4779, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.6219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.9353, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.2383, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.6836, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.2306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(220.2085, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.2565, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.8969, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.2961, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.8574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(174.8076, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.4790, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.2631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.7736, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.5792, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.5270, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.4255, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(123.8915, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(129.1793, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.6362, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5355329949238579, 'recall': 0.6205882352941177, 'f1': 0.5749318801089919, 'number': 340}, 'P': {'precision': 0.6268656716417911, 'recall': 0.6379746835443038, 'f1': 0.6323713927227103, 'number': 395}, 'overall_precision': 0.5816582914572864, 'overall_recall': 0.6299319727891156, 'overall_f1': 0.6048334421946441, 'overall_accuracy': 0.739414978374687}
			------------EPOCH 19---------------
Loss: tensor(39.1824, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.3303, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.7111, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.4333, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.4262, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.7085, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.7431, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.5647, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.4154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(98.9314, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.9768, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.1154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.1338, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.4390, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.4492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(87.7812, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.9999, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.4225, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.3069, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.1971, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.1002, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.4579, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.7189, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.3416, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.0037, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.7939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.8746, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.0860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.9058, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.8228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(192.2626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.6592, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.6932, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.1150, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.0742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(149.3194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.9175, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.6478, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.7574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.9704, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.8915, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.1985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.4574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(90.9098, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.8722, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.579088471849866, 'recall': 0.6352941176470588, 'f1': 0.6058906030855541, 'number': 340}, 'P': {'precision': 0.6237373737373737, 'recall': 0.6253164556962025, 'f1': 0.6245259165613147, 'number': 395}, 'overall_precision': 0.6020806241872562, 'overall_recall': 0.6299319727891156, 'overall_f1': 0.6156914893617021, 'overall_accuracy': 0.7413498748008195}
			------------EPOCH 20---------------
Loss: tensor(23.0667, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.3152, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.5846, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.7562, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.8218, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.9148, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.6834, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.1573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.5147, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.7422, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.6523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.3967, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.6001, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(106.8886, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.0487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.5286, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.2668, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.1329, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.3778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.9181, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.9005, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.1356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.7872, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.8136, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.2160, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.4422, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.5358, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.0742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.9957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(147.1361, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.4954, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.7039, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.9159, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.5454, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(102.8801, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2365, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.8105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.9938, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.4297, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.5330, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.2471, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.3833, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.9598, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.6954, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5730337078651685, 'recall': 0.6, 'f1': 0.5862068965517241, 'number': 340}, 'P': {'precision': 0.6189320388349514, 'recall': 0.6455696202531646, 'f1': 0.6319702602230483, 'number': 395}, 'overall_precision': 0.59765625, 'overall_recall': 0.6244897959183674, 'overall_f1': 0.6107784431137725, 'overall_accuracy': 0.7456749374004097}
			------------EPOCH 21---------------
Loss: tensor(14.2722, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.7569, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.2537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.0815, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.2661, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.0202, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.9495, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.9326, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.4130, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.4436, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.2255, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.1588, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.3519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.5558, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.2469, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.0295, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.0142, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.6694, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.5995, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.5624, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.3247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.7337, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.6336, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.4737, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.3554, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.8762, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.5567, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.2406, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.8052, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.5626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(125.5792, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.0692, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.0584, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.2325, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.1182, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(77.9608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.7547, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.9898, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.3395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.1046, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.7678, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.7916, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.1330, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.7009, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.2699, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5775862068965517, 'recall': 0.5911764705882353, 'f1': 0.5843023255813954, 'number': 340}, 'P': {'precision': 0.619277108433735, 'recall': 0.6506329113924051, 'f1': 0.6345679012345679, 'number': 395}, 'overall_precision': 0.6002621231979031, 'overall_recall': 0.6231292517006802, 'overall_f1': 0.6114819759679574, 'overall_accuracy': 0.7447643979057592}
			------------EPOCH 22---------------
Loss: tensor(10.6321, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.7165, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.3559, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.2395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.3980, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.7778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.2667, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.4388, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.3120, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.6368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.8000, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.5876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.8766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.6363, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.9084, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.4386, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.7058, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.2267, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.2735, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.5425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.7044, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.3286, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.1187, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.9286, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.7352, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.7403, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.1304, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.3560, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.2482, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.1742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.3795, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.2910, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4471, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.5774, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.2574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.1694, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.4699, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4737, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.5959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.6019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.7694, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.7719, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.2129, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.2641, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4547, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5814606741573034, 'recall': 0.6088235294117647, 'f1': 0.5948275862068966, 'number': 340}, 'P': {'precision': 0.6295399515738499, 'recall': 0.6582278481012658, 'f1': 0.6435643564356437, 'number': 395}, 'overall_precision': 0.6072821846553966, 'overall_recall': 0.6353741496598639, 'overall_f1': 0.6210106382978724, 'overall_accuracy': 0.743114045071705}
			------------EPOCH 23---------------
Loss: tensor(8.7517, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.4948, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.8059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.9982, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.6487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.1706, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.2589, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.2552, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.7105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.1311, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.5556, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.6688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6353, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.0952, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.6560, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.8289, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2371, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.0083, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.1474, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.1082, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.3446, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.1252, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9389, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.8501, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.0867, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.6129, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.3819, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.7696, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.0602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.3860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.8285, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.3438, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.4711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.0492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.8420, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.1419, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.7376, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8817, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.1952, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.8397, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.4235, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6357, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.3058, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.1763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.5749, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5826330532212886, 'recall': 0.611764705882353, 'f1': 0.5968436154949786, 'number': 340}, 'P': {'precision': 0.6286407766990292, 'recall': 0.6556962025316456, 'f1': 0.6418835192069393, 'number': 395}, 'overall_precision': 0.6072821846553966, 'overall_recall': 0.6353741496598639, 'overall_f1': 0.6210106382978724, 'overall_accuracy': 0.7457318461188254}
			------------EPOCH 24---------------
Loss: tensor(7.6586, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.8871, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6113, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.6115, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.2480, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.7124, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.2418, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1277, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.5169, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.6027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.0204, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5071, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.2560, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.3166, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.8435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.2867, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.0081, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.9320, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.6695, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.4530, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.2117, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.2769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.1679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.2006, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.2093, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3739, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.7737, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.4882, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.3109, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.0612, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.9883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.3968, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.5861, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.3236, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.5108, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.8861, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.4819, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.5666, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.3733, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.7197, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.3261, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5694, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.8789, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.3928, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.7081, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5777777777777777, 'recall': 0.611764705882353, 'f1': 0.5942857142857143, 'number': 340}, 'P': {'precision': 0.6256038647342995, 'recall': 0.6556962025316456, 'f1': 0.6402966625463535, 'number': 395}, 'overall_precision': 0.603359173126615, 'overall_recall': 0.6353741496598639, 'overall_f1': 0.6189529489728297, 'overall_accuracy': 0.7455611199635784}
			------------EPOCH 25---------------
Loss: tensor(6.3262, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9118, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.0763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.0912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4250, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.1513, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.0915, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.9875, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.0119, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.1055, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.6046, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.6107, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.9504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.6805, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.8554, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.1533, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.4558, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.9043, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.8842, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.3919, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.1487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4416, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8088, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.6828, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.5627, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4671, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.4862, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4032, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.6729, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.3888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(76.8786, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.6458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.1583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.8833, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.4611, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.0617, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.5020, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.0586, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.2522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.6187, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.7618, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.4934, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.8086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.9771, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5805555555555556, 'recall': 0.6147058823529412, 'f1': 0.5971428571428572, 'number': 340}, 'P': {'precision': 0.6301703163017032, 'recall': 0.6556962025316456, 'f1': 0.6426799007444169, 'number': 395}, 'overall_precision': 0.6070038910505836, 'overall_recall': 0.636734693877551, 'overall_f1': 0.6215139442231075, 'overall_accuracy': 0.7483496471659459}
			------------EPOCH 26---------------
Loss: tensor(5.3996, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1267, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.9311, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.8817, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.1327, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.1254, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2025, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.0713, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.3430, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.7541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.0281, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.6841, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.4204, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.5186, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.6192, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.9130, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.9188, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.1429, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.9342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.5881, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.8260, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.8313, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.4259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.2414, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.8659, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.8816, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1581, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.4962, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.0092, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.3868, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.7683, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.1336, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.7659, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.7011, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.7802, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.8861, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.2217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.5509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1436, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.1677, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.2337, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.1886, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.4357, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5741758241758241, 'recall': 0.6147058823529412, 'f1': 0.59375, 'number': 340}, 'P': {'precision': 0.6253041362530414, 'recall': 0.6506329113924051, 'f1': 0.6377171215880892, 'number': 395}, 'overall_precision': 0.6012903225806452, 'overall_recall': 0.6340136054421769, 'overall_f1': 0.6172185430463576, 'overall_accuracy': 0.7451627589346688}
			------------EPOCH 27---------------
Loss: tensor(4.6677, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8704, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.1837, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6258, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.4501, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.2489, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.4587, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9164, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.4149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.3960, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.1346, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.5983, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.0270, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.7513, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.5652, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.1295, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9926, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.3349, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.4598, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2744, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5413, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4592, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.8874, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.3555, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.1997, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.2760, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.5856, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.9637, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.1125, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3093, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.4130, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.8576, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.2317, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.5465, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.2324, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.3387, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.6860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.8155, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.6739, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.8036, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.4670, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.8905, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.574585635359116, 'recall': 0.611764705882353, 'f1': 0.5925925925925927, 'number': 340}, 'P': {'precision': 0.628361858190709, 'recall': 0.6506329113924051, 'f1': 0.6393034825870647, 'number': 395}, 'overall_precision': 0.603112840466926, 'overall_recall': 0.6326530612244898, 'overall_f1': 0.6175298804780875, 'overall_accuracy': 0.7480651035738675}
			------------EPOCH 28---------------
Loss: tensor(4.1737, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.0880, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.6287, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8521, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0215, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.7431, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.0770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.0291, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.7842, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8335, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.6755, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.2253, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.4062, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.3343, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.8001, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.0401, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.1978, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6450, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.5330, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.3210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.7822, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4779, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5221, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.8303, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.7397, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.0382, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.9432, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.5528, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8232, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.3961, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.1164, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.4302, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.8269, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.2804, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.7871, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.1015, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.0723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.0012, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.7013, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9444, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.4248, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.8099, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.2679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.5413, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6730, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5597826086956522, 'recall': 0.6058823529411764, 'f1': 0.5819209039548022, 'number': 340}, 'P': {'precision': 0.6268292682926829, 'recall': 0.6506329113924051, 'f1': 0.6385093167701863, 'number': 395}, 'overall_precision': 0.5951156812339332, 'overall_recall': 0.6299319727891156, 'overall_f1': 0.6120290812954395, 'overall_accuracy': 0.7472683815160482}
			------------EPOCH 29---------------
Loss: tensor(3.7300, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.6614, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.2474, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.5100, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7721, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.1772, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.2935, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.3357, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.9409, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5237, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.4615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.0033, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.8150, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.2275, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.5326, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.8001, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.7656, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.2667, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.2839, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.0683, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.3334, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1589, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.4883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.7280, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.0329, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.9825, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.1769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.7907, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.7355, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.3698, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.7985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.4875, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.6052, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.5017, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2344, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.8568, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.4779, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1831, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.5024, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.2306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.1113, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5570652173913043, 'recall': 0.6029411764705882, 'f1': 0.57909604519774, 'number': 340}, 'P': {'precision': 0.6308068459657702, 'recall': 0.6531645569620254, 'f1': 0.6417910447761194, 'number': 395}, 'overall_precision': 0.5958815958815958, 'overall_recall': 0.6299319727891156, 'overall_f1': 0.6124338624338624, 'overall_accuracy': 0.7456180286819941}
			------------EPOCH 30---------------
Loss: tensor(3.3580, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.9008, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.9013, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.1620, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.3521, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.6104, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0346, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5935, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.4932, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.5307, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.3078, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.6502, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.4882, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.3701, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.6041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5429, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.6415, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.5681, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.7866, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.7812, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.7088, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.4649, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.5194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.1504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.4033, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.1818, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.4931, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.5360, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8004, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.0217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8123, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.0207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.1987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1024, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.8837, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8409, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.7266, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.9286, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.0930, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.9270, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7393, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.5365, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.3542, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.7875, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5567567567567567, 'recall': 0.6058823529411764, 'f1': 0.5802816901408451, 'number': 340}, 'P': {'precision': 0.625, 'recall': 0.6455696202531646, 'f1': 0.635118306351183, 'number': 395}, 'overall_precision': 0.5925449871465296, 'overall_recall': 0.6272108843537415, 'overall_f1': 0.6093853271645736, 'overall_accuracy': 0.745788754837241}


		-------------RUN 3-----------
			------------EPOCH 1---------------
Loss: tensor(6290.1543, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2719.0193, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2110.0894, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3088.6943, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3087.9087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4136.9229, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3337.4141, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2596.5188, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2134.8604, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1061.5293, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4766.5068, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3235.3342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1622.1775, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2284.8428, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1186.2610, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1500.0754, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1456.4788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2037.6635, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1842.4161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2988.5425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1370.7751, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3893.2847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1609.2432, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1790.2742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2107.9380, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1592.0198, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1621.8110, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2154.5737, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1094.7087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1707.6543, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2987.6846, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1652.6738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2407.0020, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1435.3933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3751.0173, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2488.4136, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3204.1348, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1293.7974, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2466.4875, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3853.4985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1970.8911, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2226.7314, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2443.8154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2315.5535, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2551.0859, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1511.1949, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.11262798634812286, 'recall': 0.09401709401709402, 'f1': 0.10248447204968943, 'number': 351}, 'P': {'precision': 0.10743801652892562, 'recall': 0.06532663316582915, 'f1': 0.08125, 'number': 398}, 'overall_precision': 0.1102803738317757, 'overall_recall': 0.0787716955941255, 'overall_f1': 0.09190031152647975, 'overall_accuracy': 0.4764705882352941}
			------------EPOCH 2---------------
Loss: tensor(4107.1421, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1982.6956, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1305.7815, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1977.7686, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2117.9470, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2861.1682, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2386.4248, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1847.4318, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1599.4502, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(796.7511, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3610.0359, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2444.9109, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1289.3130, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1837.8203, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(933.3053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1201.6873, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1215.5840, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1532.4854, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1453.1055, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2265.8667, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1037.8724, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3463.0725, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1239.3263, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1331.7883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1869.4149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1510.4663, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1511.3539, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1969.6182, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(952.7159, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1455.9039, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2632.2988, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1508.9579, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1992.0942, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1142.2043, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3133.5347, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2152.6396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2732.9062, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1063.3765, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1989.6355, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3085.4326, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1537.8276, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1703.1572, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1925.1548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1904.9332, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2191.4580, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1170.1443, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.2137030995106036, 'recall': 0.3732193732193732, 'f1': 0.27178423236514526, 'number': 351}, 'P': {'precision': 0.2962962962962963, 'recall': 0.12060301507537688, 'f1': 0.17142857142857143, 'number': 398}, 'overall_precision': 0.23096774193548386, 'overall_recall': 0.2389853137516689, 'overall_f1': 0.23490813648293965, 'overall_accuracy': 0.5481033534909291}
			------------EPOCH 3---------------
Loss: tensor(3487.3577, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1780.2987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(983.8588, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1626.5446, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1782.5996, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2435.6558, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1915.6753, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1543.7856, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1462.3103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(686.8435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3031.9968, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2089.8457, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1113.6323, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1611.4136, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(798.1799, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(993.0816, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1094.2562, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1112.6536, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1187.1514, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1762.1036, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(816.7714, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3063.9368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1011.6027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1112.0354, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1653.0856, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1337.4470, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1313.4833, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1756.9875, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(843.4540, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1205.2908, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2361.3086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1356.8503, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1778.1331, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(962.9720, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2722.6807, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1944.9976, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2536.6655, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(932.0433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1728.1177, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2674.7532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1381.0813, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1541.9905, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1738.8674, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1734.7220, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1928.7188, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1040.0923, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.31675392670157065, 'recall': 0.34472934472934474, 'f1': 0.33015006821282405, 'number': 351}, 'P': {'precision': 0.43795620437956206, 'recall': 0.45226130653266333, 'f1': 0.44499381953028433, 'number': 398}, 'overall_precision': 0.37957124842370743, 'overall_recall': 0.40186915887850466, 'overall_f1': 0.39040207522697795, 'overall_accuracy': 0.6524463991203958}
			------------EPOCH 4---------------
Loss: tensor(2983.4155, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1418.8066, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(888.0167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1446.4153, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1448.7123, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1821.1969, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1547.8669, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1188.9714, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1217.9739, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(598.5399, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2400.1904, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1745.9816, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1025.5278, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1536.9573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(738.6714, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(932.5492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1105.3175, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1029.3422, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1134.2847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1612.9218, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(635.4865, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2536.6577, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(872.9450, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(963.4531, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1354.6128, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(882.7057, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(838.6536, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1387.8171, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(697.0179, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(981.1977, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2244.7278, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1168.5986, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1477.7571, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(659.4595, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2338.6868, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1722.7194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2254.6614, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(736.9352, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1301.5896, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2191.1245, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1202.7334, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1287.6912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1407.1379, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1362.5353, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1691.0265, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(859.9733, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.2993006993006993, 'recall': 0.6096866096866097, 'f1': 0.40150093808630394, 'number': 351}, 'P': {'precision': 0.4117647058823529, 'recall': 0.15829145728643215, 'f1': 0.22867513611615245, 'number': 398}, 'overall_precision': 0.3191244239631336, 'overall_recall': 0.369826435246996, 'overall_f1': 0.34260977118119973, 'overall_accuracy': 0.6008796041781198}
			------------EPOCH 5---------------
Loss: tensor(2386.0459, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1283.3972, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(584.2098, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1290.6946, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1214.2054, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1548.4972, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1309.1030, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(948.5134, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(968.7421, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(490.6257, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1941.0667, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1297.9309, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(913.6271, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1137.8218, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(547.8992, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(686.4185, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(980.3342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(743.8759, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(961.4215, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1244.9027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(469.4183, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1990.6407, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(754.7941, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(844.1177, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1007.6467, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(571.7626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(523.3708, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1018.4349, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(471.0876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(703.6053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1614.4089, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(766.9668, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1185.4121, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(522.7804, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1946.2478, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1339.9253, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1998.7307, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(587.7832, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(957.7502, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1714.4028, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(981.7283, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1162.3636, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1100.9993, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1089.4578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(985.3039, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(649.0719, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3108433734939759, 'recall': 0.36752136752136755, 'f1': 0.33681462140992163, 'number': 351}, 'P': {'precision': 0.515748031496063, 'recall': 0.32914572864321606, 'f1': 0.401840490797546, 'number': 398}, 'overall_precision': 0.38863976083707025, 'overall_recall': 0.3471295060080107, 'overall_f1': 0.3667136812411848, 'overall_accuracy': 0.6185266630016493}
			------------EPOCH 6---------------
Loss: tensor(1618.5995, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(796.6620, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(482.2228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(952.6123, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(813.0565, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1007.1282, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1021.5563, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(683.5205, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(750.7156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(450.2823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1487.5803, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(904.4232, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(640.6103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(810.9619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(388.4675, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(543.4738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(718.1085, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(510.7196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(758.6005, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(864.2537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(282.0654, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1437.1431, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(530.6848, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(489.7674, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(685.2802, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(442.8676, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(372.0533, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(644.5326, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(342.8096, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(470.4349, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1133.8978, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(493.9841, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(803.5269, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(331.3551, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1306.1033, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(900.0452, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1774.1249, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(511.9767, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(685.7275, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1218.6836, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(674.5252, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(786.9944, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(847.7109, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(844.8837, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(900.4344, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(456.5919, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3816046966731898, 'recall': 0.5555555555555556, 'f1': 0.4524361948955916, 'number': 351}, 'P': {'precision': 0.5299145299145299, 'recall': 0.46733668341708545, 'f1': 0.49666221628838453, 'number': 398}, 'overall_precision': 0.4419953596287703, 'overall_recall': 0.5086782376502003, 'overall_f1': 0.4729981378026071, 'overall_accuracy': 0.6983507421660253}
			------------EPOCH 7---------------
Loss: tensor(1287.3688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(614.3785, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(268.4104, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(746.4502, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(506.1557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(645.5760, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(834.6501, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(410.7808, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(590.4928, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(325.0782, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1236.7413, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(702.0458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(814.7506, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(866.2766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(331.4680, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(527.7410, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(578.3165, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(571.4098, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(678.2114, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(884.2271, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(199.4761, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1055.1996, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(356.6059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(377.5720, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(426.6790, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(276.7198, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(200.7690, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(451.1476, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(286.4549, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(357.2457, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(777.9891, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(354.8891, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(732.4949, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(279.3689, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1127.2523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(794.2059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1648.2848, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(408.4344, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(551.0023, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(924.2016, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(599.9669, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(598.7549, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(647.9366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(650.4659, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(697.5510, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(291.5615, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.36541889483065954, 'recall': 0.584045584045584, 'f1': 0.4495614035087719, 'number': 351}, 'P': {'precision': 0.562874251497006, 'recall': 0.4723618090452261, 'f1': 0.5136612021857923, 'number': 398}, 'overall_precision': 0.43910614525139663, 'overall_recall': 0.5246995994659546, 'overall_f1': 0.4781021897810219, 'overall_accuracy': 0.6715777899945025}
			------------EPOCH 8---------------
Loss: tensor(1228.8801, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(475.5517, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(239.1567, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(690.7769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(531.6263, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(439.7664, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(645.7852, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(312.7753, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(417.3503, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(267.1771, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(850.5281, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(435.9605, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(413.8906, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(447.0288, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(164.2014, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(270.3481, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(495.0584, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(552.8186, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(764.6045, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1224.5852, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(294.5248, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1148.8145, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(460.4935, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(536.4598, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(431.4879, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(235.2992, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(234.6571, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(549.4730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(340.5302, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(366.8323, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(833.0861, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(472.5291, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(504.4578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(354.8136, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1105.3746, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(626.4180, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(963.8322, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(274.1501, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(307.4532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(579.9573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(466.8793, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(498.5148, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(564.7571, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(574.9257, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1039.0566, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(682.9796, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3691275167785235, 'recall': 0.15669515669515668, 'f1': 0.22, 'number': 351}, 'P': {'precision': 0.38670284938941657, 'recall': 0.7160804020100503, 'f1': 0.5022026431718062, 'number': 398}, 'overall_precision': 0.3837471783295711, 'overall_recall': 0.4539385847797063, 'overall_f1': 0.41590214067278286, 'overall_accuracy': 0.6100604727872457}
			------------EPOCH 9---------------
Loss: tensor(2693.2664, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1262.6863, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1184.8253, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1910.5519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1003.9265, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(805.7935, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1090.0479, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(888.7023, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(649.9575, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(348.0743, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1944.5870, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(996.2060, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(586.8432, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(923.2462, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(318.9686, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(460.9449, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(786.3729, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(810.4051, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(898.2144, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1001.1798, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(323.2300, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1247.2771, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(440.6846, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(456.2307, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(672.7179, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(334.4890, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(294.8313, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(830.6161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(656.9039, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1370.8608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3683.9004, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1201.2937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1270.5046, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(581.0682, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1796.7487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1697.0028, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1212.9534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(485.1968, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1010.6609, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1985.2155, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(615.1636, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(876.3412, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(936.7148, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(710.9978, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(726.3212, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(319.2792, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4068965517241379, 'recall': 0.5042735042735043, 'f1': 0.45038167938931295, 'number': 351}, 'P': {'precision': 0.5090543259557344, 'recall': 0.635678391959799, 'f1': 0.5653631284916201, 'number': 398}, 'overall_precision': 0.4613733905579399, 'overall_recall': 0.5740987983978638, 'overall_f1': 0.511600237953599, 'overall_accuracy': 0.6925233644859813}
			------------EPOCH 10---------------
Loss: tensor(1091.0402, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(358.9321, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(259.2560, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(558.7299, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(651.5183, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(654.8305, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(771.8359, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(385.6926, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(683.8853, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(542.1207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1754.3624, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1019.0798, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(745.0353, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(795.6534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(488.9309, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(553.0734, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(956.2458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(507.7019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(651.3922, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(865.2167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(266.4103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1689.8528, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(440.6114, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(341.1212, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(578.2975, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(378.5274, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(313.8312, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(639.8495, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(324.9240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(494.3147, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1123.3308, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(546.5098, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(517.8328, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(216.6373, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(809.6738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(585.9595, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(750.4472, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(254.2564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(507.0006, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(814.1324, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(532.4057, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(592.3131, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(487.1309, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(420.0087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(457.8942, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(290.1532, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4529262086513995, 'recall': 0.5071225071225072, 'f1': 0.478494623655914, 'number': 351}, 'P': {'precision': 0.4962962962962963, 'recall': 0.5050251256281407, 'f1': 0.5006226650062267, 'number': 398}, 'overall_precision': 0.474937343358396, 'overall_recall': 0.5060080106809078, 'overall_f1': 0.48998060762766643, 'overall_accuracy': 0.6942275975810885}
			------------EPOCH 11---------------
Loss: tensor(595.2561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(251.3825, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(183.6113, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(353.4106, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(292.3433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(367.7440, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(739.7387, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(263.4750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(312.4848, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(238.8787, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(673.5131, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(324.1499, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(404.6812, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(291.6306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(183.5797, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(244.6344, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(264.1147, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(164.4140, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(365.0581, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(478.8349, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.0918, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(589.5738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(195.7044, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(146.4682, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(241.4287, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(122.5945, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.5164, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(164.6869, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(192.8852, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(206.5641, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(471.5809, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(152.2756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(266.3868, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(111.9112, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(439.5894, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(351.2435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(464.0244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(137.8542, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(220.5336, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(397.4362, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(224.9547, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(280.3918, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(249.9184, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(182.0236, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.0017, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(184.4189, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.49, 'recall': 0.5584045584045584, 'f1': 0.5219707057256991, 'number': 351}, 'P': {'precision': 0.572463768115942, 'recall': 0.5954773869346733, 'f1': 0.583743842364532, 'number': 398}, 'overall_precision': 0.5319410319410319, 'overall_recall': 0.5781041388518025, 'overall_f1': 0.5540626999360204, 'overall_accuracy': 0.7241341396371632}
			------------EPOCH 12---------------
Loss: tensor(284.6633, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(138.4389, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.5488, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(154.2306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(104.1843, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(125.4085, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(349.5457, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.4701, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(205.6885, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(161.5211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(265.0678, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(168.7143, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(159.9296, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(200.3434, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.2213, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(101.0263, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(185.2041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.4286, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(249.8360, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(308.9055, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.8857, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(406.9337, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(90.8773, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.8309, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.2509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.1760, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.0643, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(130.8970, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.4597, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(112.5893, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(266.5535, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.1244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(174.2051, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.1797, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(250.0628, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(247.4573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(280.9219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.1121, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(126.9722, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(234.4539, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(149.4244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(204.2302, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(128.0417, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.0120, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(119.2941, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(167.2577, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4296160877513711, 'recall': 0.6695156695156695, 'f1': 0.5233853006681514, 'number': 351}, 'P': {'precision': 0.6026936026936027, 'recall': 0.44974874371859297, 'f1': 0.5151079136690647, 'number': 398}, 'overall_precision': 0.490521327014218, 'overall_recall': 0.5527369826435247, 'overall_f1': 0.519774011299435, 'overall_accuracy': 0.7009895547003848}
			------------EPOCH 13---------------
Loss: tensor(184.5845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.8384, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.1405, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(136.0115, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.4258, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(115.2426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(333.1519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.7711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(206.9854, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.5761, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(201.9289, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(108.9746, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.2229, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(121.8730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.4624, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.1579, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(94.6206, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.1699, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(149.0810, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(171.8201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.3839, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(217.2833, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.4533, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.8349, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(97.6259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.9216, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.7842, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.3833, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.3957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.7903, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(194.0986, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.4436, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(230.8471, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.9344, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(272.1506, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(297.5524, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(279.9397, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.0279, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(145.4517, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(261.1435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.9423, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(142.3396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(98.9399, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.2724, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.6148, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(104.6221, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4324786324786325, 'recall': 0.7207977207977208, 'f1': 0.5405982905982906, 'number': 351}, 'P': {'precision': 0.6444444444444445, 'recall': 0.4371859296482412, 'f1': 0.5209580838323352, 'number': 398}, 'overall_precision': 0.4994152046783626, 'overall_recall': 0.5700934579439252, 'overall_f1': 0.5324189526184538, 'overall_accuracy': 0.6969213853765805}
			------------EPOCH 14---------------
Loss: tensor(131.3143, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.2631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.1140, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.6924, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(101.2783, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.6468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(196.6027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(76.1414, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(312.4043, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(201.7216, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(426.6352, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(154.3921, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(115.0903, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(238.9226, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.5106, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(147.9421, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(131.6305, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.1964, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(160.7029, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(162.5615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.0583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(193.6319, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.5823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.6904, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.3152, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.5908, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.4395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.6160, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.8594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.5269, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(122.7331, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.6097, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(150.3257, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.6496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(164.6738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(205.7847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(619.5195, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(168.3825, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(201.9697, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(323.0958, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(199.3538, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(259.3210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(314.5244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(240.6850, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.8403, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(129.7029, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4653179190751445, 'recall': 0.4586894586894587, 'f1': 0.4619799139167863, 'number': 351}, 'P': {'precision': 0.5595744680851064, 'recall': 0.6608040201005025, 'f1': 0.6059907834101382, 'number': 398}, 'overall_precision': 0.5196078431372549, 'overall_recall': 0.5660881174899867, 'overall_f1': 0.54185303514377, 'overall_accuracy': 0.7288620120945575}
			------------EPOCH 15---------------
Loss: tensor(106.5523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.6582, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.5432, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.1927, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.6872, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.1490, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(201.6786, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.8639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.3418, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.9684, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.1446, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.0344, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.9793, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(87.6925, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.1045, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.3146, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(192.8348, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(298.9419, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(275.0507, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(300.9639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(98.7027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(555.7451, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(183.5997, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.8239, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(178.3347, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.0546, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.8903, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(296.6474, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(221.1923, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.5675, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(332.6204, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(187.8228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(147.1376, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.9723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(189.9093, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(246.5706, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(126.4776, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.5389, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.8738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(193.9351, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.8045, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(124.9505, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.8533, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.3931, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(132.9103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(265.2054, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.36633663366336633, 'recall': 0.10541310541310542, 'f1': 0.16371681415929204, 'number': 351}, 'P': {'precision': 0.48863636363636365, 'recall': 0.7562814070351759, 'f1': 0.5936883629191322, 'number': 398}, 'overall_precision': 0.4714086471408647, 'overall_recall': 0.4512683578104139, 'overall_f1': 0.46111869031377895, 'overall_accuracy': 0.657504123144585}
			------------EPOCH 16---------------
Loss: tensor(387.7971, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(279.0931, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(493.3235, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(690.7402, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(384.6272, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(263.4777, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1255.7845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(661.8934, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(340.7898, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(513.9500, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(993.5258, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(601.9839, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(141.0937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(128.9436, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.7929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(104.0310, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.8506, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.8520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(170.8926, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.1282, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.5415, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(358.3282, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.1011, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.5951, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(188.2316, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.2858, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.2259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(120.6236, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(534.0585, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(331.9782, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1232.5504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1849.7217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(840.6053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(627.0210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1731.7356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(848.4246, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(582.2350, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(245.7207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(981.6609, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1259.1196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(123.9441, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(372.9729, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(205.9548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(156.4991, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(92.0437, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(99.8192, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4308510638297872, 'recall': 0.23076923076923078, 'f1': 0.300556586270872, 'number': 351}, 'P': {'precision': 0.5120689655172413, 'recall': 0.7462311557788944, 'f1': 0.607361963190184, 'number': 398}, 'overall_precision': 0.4921875, 'overall_recall': 0.5046728971962616, 'overall_f1': 0.49835201054713246, 'overall_accuracy': 0.7048927982407917}
			------------EPOCH 17---------------
Loss: tensor(207.1650, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(110.6306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(90.7724, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(149.4567, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(147.7177, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.4780, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(348.1929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(159.6212, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(382.0546, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(496.1209, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(934.2396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(770.3359, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(905.3668, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(549.9945, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(299.2513, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(300.2413, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(907.9417, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(410.2177, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(836.3698, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1128.8496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(162.7964, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(698.1295, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(566.6270, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(455.1968, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(386.6625, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(282.7207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(212.8807, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(197.1668, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.3991, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(205.7819, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(472.7107, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(150.8256, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(134.0200, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.1004, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(203.2904, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(181.4097, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.0771, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.9523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(77.8197, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(241.9730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(104.7909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(199.0870, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(176.1692, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(159.2248, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(301.2147, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(196.1951, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3904448105436573, 'recall': 0.6752136752136753, 'f1': 0.49478079331941544, 'number': 351}, 'P': {'precision': 0.6084905660377359, 'recall': 0.3241206030150754, 'f1': 0.42295081967213116, 'number': 398}, 'overall_precision': 0.4468864468864469, 'overall_recall': 0.4886515353805073, 'overall_f1': 0.46683673469387754, 'overall_accuracy': 0.6785046728971963}
			------------EPOCH 18---------------
Loss: tensor(490.5924, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(165.5841, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(193.4704, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(257.3330, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(230.7342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(363.1201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(463.1818, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(119.8318, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(121.6590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.4648, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(441.6357, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(207.4512, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(108.6382, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(117.3274, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.4230, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.5144, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.4386, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.0832, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(166.4967, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.2864, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.5403, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(181.8522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.3567, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.8434, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.5460, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.7534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.3120, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.8782, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.1713, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.3663, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.0005, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.3303, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.2088, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.7191, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(160.4432, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(130.8628, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(129.3747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.7042, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.4653, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(167.5272, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.8643, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(102.8786, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(158.4066, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.3993, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.2630, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(104.7856, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5140562248995983, 'recall': 0.3646723646723647, 'f1': 0.4266666666666667, 'number': 351}, 'P': {'precision': 0.5177304964539007, 'recall': 0.7336683417085427, 'f1': 0.607068607068607, 'number': 398}, 'overall_precision': 0.5166051660516605, 'overall_recall': 0.5607476635514018, 'overall_f1': 0.5377720870678616, 'overall_accuracy': 0.7245739417262232}
			------------EPOCH 19---------------
Loss: tensor(86.0551, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.7268, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.8332, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.3757, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.6865, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.9888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(110.9248, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.7756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.9725, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.4796, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(106.4752, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.8265, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.6201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.0212, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.1719, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.5631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.6160, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.0383, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(117.1177, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(123.8036, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.9107, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(111.4144, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.1139, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.8894, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.9873, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.7474, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.3936, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.8639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.9887, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.9872, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.4941, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.4960, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.1489, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.6723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.9798, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.1734, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.8493, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.0071, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.6637, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.8311, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.4397, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.7126, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.9331, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.6245, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.0258, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.9233, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5358166189111748, 'recall': 0.5327635327635327, 'f1': 0.5342857142857143, 'number': 351}, 'P': {'precision': 0.5896860986547086, 'recall': 0.6608040201005025, 'f1': 0.6232227488151659, 'number': 398}, 'overall_precision': 0.5660377358490566, 'overall_recall': 0.6008010680907877, 'overall_f1': 0.582901554404145, 'overall_accuracy': 0.74326553051127}
			------------EPOCH 20---------------
Loss: tensor(51.1343, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8096, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.8704, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.4191, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.4699, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.1335, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.8056, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.2379, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.0190, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.9924, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.7493, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.4729, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.6974, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.8860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.5484, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.5871, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.7928, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2955, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.8787, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.1377, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.7440, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.3863, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6303, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.4937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.1512, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.2763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4173, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.5612, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.9182, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.4922, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.3850, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.0920, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.6081, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.7062, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.9444, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.3282, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.2906, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.8260, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.1483, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.6827, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.5744, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.1973, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.2282, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5193798449612403, 'recall': 0.5726495726495726, 'f1': 0.5447154471544715, 'number': 351}, 'P': {'precision': 0.6024390243902439, 'recall': 0.6206030150753769, 'f1': 0.6113861386138614, 'number': 398}, 'overall_precision': 0.562107904642409, 'overall_recall': 0.5981308411214953, 'overall_f1': 0.5795601552393272, 'overall_accuracy': 0.7384826827927433}
			------------EPOCH 21---------------
Loss: tensor(41.6945, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.2388, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.1377, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.4636, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.9961, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.5265, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.0241, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0071, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.5965, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.7967, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.7133, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.4237, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.7917, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.5445, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.4011, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.2248, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.1765, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.8892, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.4252, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.5289, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.2229, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.9527, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.2673, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.0192, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.9156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.6075, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.1403, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.8270, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.9227, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.9373, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.3298, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.1777, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.9228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.3972, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.0674, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.9871, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.0708, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.8341, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.5410, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6917, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.1357, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.1345, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.8487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.4207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.7493, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5187165775401069, 'recall': 0.5527065527065527, 'f1': 0.5351724137931035, 'number': 351}, 'P': {'precision': 0.6100478468899522, 'recall': 0.6407035175879398, 'f1': 0.625, 'number': 398}, 'overall_precision': 0.5669191919191919, 'overall_recall': 0.5994659546061415, 'overall_f1': 0.5827384815055159, 'overall_accuracy': 0.7379329301814184}
			------------EPOCH 22---------------
Loss: tensor(34.7654, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.9615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.2474, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.7073, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.5238, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.4632, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.1382, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.9838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.4462, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5423, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.3417, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.2409, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4479, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.1256, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.3515, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.5379, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.3000, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.9392, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.3888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.2290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.1157, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.9147, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.1209, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1403, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1325, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.0502, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7787, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.0392, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.9365, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3554, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.9803, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.2970, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.0976, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3892, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.1409, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.9534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.2867, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.1647, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5431, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.3885, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.6156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.9556, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.4183, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5380, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.9423, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.9200, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5162162162162162, 'recall': 0.5441595441595442, 'f1': 0.5298196948682387, 'number': 351}, 'P': {'precision': 0.6088992974238876, 'recall': 0.6532663316582915, 'f1': 0.6303030303030303, 'number': 398}, 'overall_precision': 0.5658720200752823, 'overall_recall': 0.6021361815754339, 'overall_f1': 0.5834411384217335, 'overall_accuracy': 0.7398020890599231}
			------------EPOCH 23---------------
Loss: tensor(30.1037, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.7216, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.9717, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.7779, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2471, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.9889, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.7768, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.0185, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9741, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.8970, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.9370, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.3589, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.1891, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.9555, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6746, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.2775, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.9565, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.0142, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.4214, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.1210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.8043, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.9152, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.0151, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2570, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.3113, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.7223, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.6326, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.2090, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2513, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.2304, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.6244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.4351, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.8405, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.2444, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.6902, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.9486, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.8787, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.2774, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5062, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.3602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.0991, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5027027027027027, 'recall': 0.5299145299145299, 'f1': 0.5159500693481275, 'number': 351}, 'P': {'precision': 0.605568445475638, 'recall': 0.6557788944723618, 'f1': 0.6296743063932448, 'number': 398}, 'overall_precision': 0.5580524344569289, 'overall_recall': 0.5967957276368492, 'overall_f1': 0.5767741935483871, 'overall_accuracy': 0.7367784496976361}
			------------EPOCH 24---------------
Loss: tensor(26.1423, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.9666, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.1583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.0624, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.0321, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.1885, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.3949, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.4666, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2045, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.1531, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.2978, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6776, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.0064, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.6957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.9032, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.3184, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.1647, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.9798, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.1945, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.9350, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4919, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8185, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.6816, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.6163, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.2993, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3208, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.1021, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.8759, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1748, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2282, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8697, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.1414, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.9742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.0941, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8955, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.9100, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.4704, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4304, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.1255, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.5656, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.8511, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2050, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1320, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6704, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.6351, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5094339622641509, 'recall': 0.5384615384615384, 'f1': 0.5235457063711911, 'number': 351}, 'P': {'precision': 0.6074766355140186, 'recall': 0.6532663316582915, 'f1': 0.6295399515738499, 'number': 398}, 'overall_precision': 0.5619524405506884, 'overall_recall': 0.5994659546061415, 'overall_f1': 0.5801033591731266, 'overall_accuracy': 0.7382078064870808}
			------------EPOCH 25---------------
Loss: tensor(22.4239, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3935, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.4486, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9965, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.6522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3108, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.9688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.9412, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8983, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.2037, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.2112, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.4091, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.0721, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4002, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.8870, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.9355, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.4838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.8723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.5053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.6107, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.0103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3830, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.9900, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8422, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.7870, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.6826, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.2818, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.1963, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1109, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.3695, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.9152, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.6637, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.5513, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.4522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.5370, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8889, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.4550, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.8872, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.6099, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.2573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.2721, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2208, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.1391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.0382, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5080645161290323, 'recall': 0.5384615384615384, 'f1': 0.5228215767634854, 'number': 351}, 'P': {'precision': 0.6051401869158879, 'recall': 0.6507537688442211, 'f1': 0.6271186440677966, 'number': 398}, 'overall_precision': 0.56, 'overall_recall': 0.5981308411214953, 'overall_f1': 0.57843770174306, 'overall_accuracy': 0.7388125343595382}
			------------EPOCH 26---------------
Loss: tensor(19.8463, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.9097, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.7989, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.2181, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.1725, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.7142, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.8354, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.6233, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.1827, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5484, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.9418, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.3426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.6514, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1085, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8307, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.6773, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.9294, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.1833, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5448, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.3738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.2497, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5691, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.5374, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.3719, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.3929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.2114, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.6344, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.5540, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3960, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.1814, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5386, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.1961, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.1860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5289, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.8021, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.4030, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6861, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.8935, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.8722, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7151, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.5259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.4933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.8695, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8372, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5080645161290323, 'recall': 0.5384615384615384, 'f1': 0.5228215767634854, 'number': 351}, 'P': {'precision': 0.6083916083916084, 'recall': 0.6557788944723618, 'f1': 0.6311970979443773, 'number': 398}, 'overall_precision': 0.5617977528089888, 'overall_recall': 0.6008010680907877, 'overall_f1': 0.5806451612903226, 'overall_accuracy': 0.7389224848818032}
			------------EPOCH 27---------------
Loss: tensor(17.7950, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.2798, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.6079, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.7686, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.2128, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.8492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.3291, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8421, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.3839, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.8299, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.8390, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.4378, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.7460, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.3953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.2805, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5854, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4988, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.6966, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.0713, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.1653, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.6252, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.9705, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.1693, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.1075, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.0591, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.8028, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.0940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.0198, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.4292, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9474, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.5923, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.6012, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.8859, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.1690, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0966, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.5477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.9240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.0602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.1904, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.2548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.5410, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.8845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.8974, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.8087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8445, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5040214477211796, 'recall': 0.5356125356125356, 'f1': 0.5193370165745858, 'number': 351}, 'P': {'precision': 0.6083916083916084, 'recall': 0.6557788944723618, 'f1': 0.6311970979443773, 'number': 398}, 'overall_precision': 0.559850374064838, 'overall_recall': 0.5994659546061415, 'overall_f1': 0.5789813023855578, 'overall_accuracy': 0.7387025838372733}
			------------EPOCH 28---------------
Loss: tensor(16.0029, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.0435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.8733, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1227, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.4119, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.7908, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.3612, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.0510, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.4551, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.4895, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.7882, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.3537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5744, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.9957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8822, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.9158, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6197, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.1504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.3623, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9163, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.9788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3128, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4735, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.8556, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.0293, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.7855, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.4568, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.6546, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.6185, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.8055, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.8031, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.1144, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8272, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.6189, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3525, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.9190, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.7118, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.4860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.5236, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.0308, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.7466, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.7086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3410, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4096, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.9201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.0089, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5053763440860215, 'recall': 0.5356125356125356, 'f1': 0.5200553250345781, 'number': 351}, 'P': {'precision': 0.6078886310904872, 'recall': 0.6582914572864321, 'f1': 0.6320868516284679, 'number': 398}, 'overall_precision': 0.5603985056039851, 'overall_recall': 0.6008010680907877, 'overall_f1': 0.5798969072164948, 'overall_accuracy': 0.7380978559648158}
			------------EPOCH 29---------------
Loss: tensor(14.4220, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.6967, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.5038, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7176, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.1109, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.4123, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.3444, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.8076, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.7991, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.8132, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.9190, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.9119, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5587, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.2804, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.4619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6466, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.7065, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.8530, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.1621, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.9902, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.8305, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.3026, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.0572, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.5913, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.0999, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.5663, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.1825, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.3194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.3430, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.3337, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.7115, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1911, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.3987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.6485, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.9646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.2778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.1165, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.0639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.0876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.3283, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.0725, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.8837, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.0196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1715, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3062, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5040214477211796, 'recall': 0.5356125356125356, 'f1': 0.5193370165745858, 'number': 351}, 'P': {'precision': 0.6069767441860465, 'recall': 0.6557788944723618, 'f1': 0.6304347826086957, 'number': 398}, 'overall_precision': 0.5591531755915318, 'overall_recall': 0.5994659546061415, 'overall_f1': 0.5786082474226804, 'overall_accuracy': 0.7365035733919736}
			------------EPOCH 30---------------
Loss: tensor(13.0710, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.4073, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.3726, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.8631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.9994, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.6056, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.3368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.4702, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2328, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.0930, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.4493, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.7864, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.5899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.0651, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2185, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.7137, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.5034, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.7012, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.3685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2802, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.3899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.9696, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.0443, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.1450, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.9559, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.0744, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.3740, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.6664, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.2144, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.0302, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.2526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.1103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.8034, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.6615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2850, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.9805, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.5711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.6958, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.5334, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.7057, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5013333333333333, 'recall': 0.5356125356125356, 'f1': 0.5179063360881544, 'number': 351}, 'P': {'precision': 0.6046511627906976, 'recall': 0.6532663316582915, 'f1': 0.6280193236714976, 'number': 398}, 'overall_precision': 0.5565217391304348, 'overall_recall': 0.5981308411214953, 'overall_f1': 0.5765765765765766, 'overall_accuracy': 0.7364485981308411}


		-------------RUN 4-----------
			------------EPOCH 1---------------
Loss: tensor(1821.4688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4365.8569, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2919.6768, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2380.2139, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2423.4639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2746.2031, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3013.3105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1278.7643, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2291.1182, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2663.7832, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2340.2856, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2153.0881, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4236.5962, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1788.4979, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3339.5806, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3148.5503, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3872.3647, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1595.8367, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2356.5552, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3926.7378, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2636.1436, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3037.4219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1236.5254, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1601.8333, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1738.8387, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2666.6882, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2582.8452, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1927.7670, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1850.6978, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2419.7649, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2652.2891, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3111.0271, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6976.3896, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3173.2559, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1311.3442, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4091.5354, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1502.4532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1762.0706, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2108.3687, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1761.6174, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2105.8140, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3129.8162, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2297.7163, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5166.0249, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2387.6655, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2274.7363, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.01735357917570499, 'recall': 0.026402640264026403, 'f1': 0.020942408376963352, 'number': 303}, 'P': {'precision': 0.03234501347708895, 'recall': 0.031578947368421054, 'f1': 0.03195739014647137, 'number': 380}, 'overall_precision': 0.02403846153846154, 'overall_recall': 0.029282576866764276, 'overall_f1': 0.026402640264026403, 'overall_accuracy': 0.49249367444475683}
			------------EPOCH 2---------------
Loss: tensor(1294.0042, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3057.0264, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2010.9170, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1682.3899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1890.0857, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2026.0259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2264.6924, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(895.1430, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1670.4080, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1944.6683, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1800.5894, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1698.2728, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3168.1709, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1305.4635, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2543.9019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2396.4727, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3046.2610, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1215.5182, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1885.2479, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3101.5945, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2215.1440, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2390.2134, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(995.8455, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1312.5322, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1365.6465, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2218.4595, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2319.8499, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1781.5376, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1751.4229, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2218.0396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2102.2239, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2590.0010, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5806.9199, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2654.6453, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1062.2466, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3433.0869, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1272.3702, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1491.8296, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1950.2000, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1345.6541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1729.9882, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2600.4956, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1870.7876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4635.7046, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2016.3392, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1829.8190, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.026981450252951095, 'recall': 0.052805280528052806, 'f1': 0.03571428571428571, 'number': 303}, 'P': {'precision': 0.096, 'recall': 0.06315789473684211, 'f1': 0.0761904761904762, 'number': 380}, 'overall_precision': 0.04744958481613286, 'overall_recall': 0.05856515373352855, 'overall_f1': 0.05242463958060288, 'overall_accuracy': 0.4860837784649986}
			------------EPOCH 3---------------
Loss: tensor(1154.1545, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2538.2344, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1722.4355, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1519.4121, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1747.6301, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2030.4745, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2381.3154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(725.1491, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1399.8975, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1724.0850, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1324.8682, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1402.9810, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2558.9958, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1042.1067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2134.5342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2216.5603, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2718.8228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1083.0654, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1705.6816, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2728.4304, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1971.2466, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1970.9546, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(881.7275, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1123.8375, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1095.2904, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1939.3762, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2123.9448, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1661.3175, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1614.1791, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2038.8716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1792.6014, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2221.6414, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5212.0884, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2398.4670, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(925.0493, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3094.8550, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1174.5964, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1358.1987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1827.7173, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1183.4365, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1601.3425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2592.4587, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1697.7957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4495.8589, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1873.0686, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1781.9238, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.08823529411764706, 'recall': 0.26732673267326734, 'f1': 0.13267813267813267, 'number': 303}, 'P': {'precision': 0.3696682464454976, 'recall': 0.20526315789473684, 'f1': 0.2639593908629441, 'number': 380}, 'overall_precision': 0.1408325952170062, 'overall_recall': 0.232796486090776, 'overall_f1': 0.17549668874172186, 'overall_accuracy': 0.551813325836379}
			------------EPOCH 4---------------
Loss: tensor(967.2149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2338.7485, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1498.5879, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1283.3090, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1597.9961, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1561.5219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1796.9583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(655.8847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1272.2555, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1512.6455, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1315.9043, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1240.4094, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2439.3955, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(947.4790, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2003.1826, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1897.9688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2493.8718, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1026.5281, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1591.3062, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2447.1348, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1655.5350, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1737.3787, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(803.8585, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(998.2891, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(918.3124, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1614.6879, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1688.9050, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1390.5916, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1346.9431, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1679.5479, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1552.7295, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1770.6667, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4578.7314, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2173.9268, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(815.0471, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2751.3220, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1040.3772, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(981.7635, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1601.1973, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1063.1628, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1402.4697, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2251.7151, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1366.4441, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3430.0156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1742.7971, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1518.6671, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.18791946308724833, 'recall': 0.46204620462046203, 'f1': 0.26717557251908397, 'number': 303}, 'P': {'precision': 0.46111111111111114, 'recall': 0.21842105263157896, 'f1': 0.29642857142857143, 'number': 380}, 'overall_precision': 0.2410810810810811, 'overall_recall': 0.32650073206442165, 'overall_f1': 0.277363184079602, 'overall_accuracy': 0.5631149845375316}
			------------EPOCH 5---------------
Loss: tensor(825.6628, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1814.7012, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1212.6050, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1168.2788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1441.5288, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1397.3884, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1703.5095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(545.7214, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1038.9915, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1293.6545, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1035.2358, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1100.1458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2060.5547, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(736.4429, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1689.4109, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1761.5771, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2249.5005, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(922.5291, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1335.9661, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2122.2402, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1313.1548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1484.1719, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(710.7401, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(860.9242, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(734.3380, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1399.6494, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1287.9194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(938.6666, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(910.2186, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1294.0930, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1293.1606, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1412.7113, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3976.9854, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1925.5790, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(758.5894, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2602.1802, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(967.6793, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(824.2755, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1413.9421, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(999.1526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1210.6375, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2003.6012, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1095.0504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2841.2646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1358.4919, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1188.4414, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3277027027027027, 'recall': 0.6402640264026402, 'f1': 0.4335195530726257, 'number': 303}, 'P': {'precision': 0.5186721991701245, 'recall': 0.32894736842105265, 'f1': 0.40257648953301134, 'number': 380}, 'overall_precision': 0.382953181272509, 'overall_recall': 0.4670571010248902, 'overall_f1': 0.42084432717678094, 'overall_accuracy': 0.5961203261175148}
			------------EPOCH 6---------------
Loss: tensor(733.6550, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1244.8164, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(929.0845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(963.8616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1374.9277, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1266.2767, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1499.8422, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(477.6272, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(804.8661, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1010.2125, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(845.9697, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(956.5740, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1652.1697, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(518.5830, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1383.7581, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1361.7866, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1874.4153, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(757.4010, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(958.9247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1760.3849, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1231.9902, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1365.0205, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(585.4520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(685.3444, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(526.8716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1037.7808, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(811.8314, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(545.6133, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(535.0092, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(917.6991, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1351.5287, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1159.1344, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3251.7876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1499.8571, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(692.7469, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2051.7588, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(825.8664, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(627.7771, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1132.4811, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(916.1196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(988.9947, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1700.0886, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(965.4763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2323.6294, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1146.1987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1012.2061, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3274647887323944, 'recall': 0.6138613861386139, 'f1': 0.4270952927669346, 'number': 303}, 'P': {'precision': 0.5886287625418061, 'recall': 0.4631578947368421, 'f1': 0.5184094256259204, 'number': 380}, 'overall_precision': 0.41753171856978083, 'overall_recall': 0.5300146412884333, 'overall_f1': 0.4670967741935484, 'overall_accuracy': 0.62091650267079}
			------------EPOCH 7---------------
Loss: tensor(693.9716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1022.7817, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(789.6117, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(808.6710, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1188.7231, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1090.2711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1386.8845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(458.9283, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(676.8710, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(855.0211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(868.7043, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(884.8180, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1457.3354, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(405.2127, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1447.5449, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1412.9258, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1571.0916, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(634.6317, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1012.7465, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1504.0850, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(973.7203, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1051.1168, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(417.5096, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(567.0306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(400.2541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(878.3577, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(727.4164, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(454.0278, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(499.4955, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(644.9305, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(947.9139, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(860.6172, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3420.6145, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1495.8494, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(717.2650, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1950.3074, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(769.4843, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(592.6500, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(968.9759, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1042.2159, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(866.2014, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1293.4546, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(919.6253, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1716.3005, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(841.5740, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(739.3638, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.400990099009901, 'recall': 0.26732673267326734, 'f1': 0.3207920792079208, 'number': 303}, 'P': {'precision': 0.4975609756097561, 'recall': 0.8052631578947368, 'f1': 0.615075376884422, 'number': 380}, 'overall_precision': 0.47368421052631576, 'overall_recall': 0.5666178623718887, 'overall_f1': 0.516, 'overall_accuracy': 0.666235591790835}
			------------EPOCH 8---------------
Loss: tensor(584.7435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(754.1130, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(818.5918, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(793.8942, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(850.0010, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1021.6650, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1224.7100, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(483.1791, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(465.0154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(642.4584, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(559.6124, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(741.3015, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1458.9586, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(391.9711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1575.4741, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1418.7228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1666.0175, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(702.0093, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1427.6362, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1711.0403, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1271.4154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1322.6235, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(422.2751, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(718.0346, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(362.0948, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(998.0662, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(822.0355, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(418.5944, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(375.1557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(579.2935, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(750.9758, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(710.1230, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2159.0881, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(923.2031, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(412.1462, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1479.1914, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(554.5414, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(471.1317, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(753.2766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(746.5496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(676.3900, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(901.9942, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(848.2224, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1322.4954, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(811.6184, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(739.4304, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.45454545454545453, 'recall': 0.132013201320132, 'f1': 0.20460358056265984, 'number': 303}, 'P': {'precision': 0.49921996879875197, 'recall': 0.8421052631578947, 'f1': 0.6268364348677767, 'number': 380}, 'overall_precision': 0.49382716049382713, 'overall_recall': 0.527086383601757, 'overall_f1': 0.509915014164306, 'overall_accuracy': 0.6851279167838066}
			------------EPOCH 9---------------
Loss: tensor(701.6301, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(566.9285, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(850.4132, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(904.6409, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(820.6451, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1090.0601, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1226.9218, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(677.6896, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(668.6560, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(849.3413, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(425.7209, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(812.9527, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1470.4456, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(379.7010, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(854.4210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1103.9512, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1412.8921, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(490.0939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(417.3571, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1006.1589, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(742.0864, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(891.6208, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(244.7005, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(329.7364, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(364.3126, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(743.3432, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(589.6388, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(334.2616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(350.7662, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(504.0298, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(964.7285, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(928.8868, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2882.3477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(932.6064, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(525.2506, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2096.9419, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(586.4342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(559.8029, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(919.2211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(691.0729, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(589.5363, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1015.4391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(890.1639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1507.4236, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(649.9633, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(550.7248, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4563106796116505, 'recall': 0.3102310231023102, 'f1': 0.36935166994106094, 'number': 303}, 'P': {'precision': 0.5273037542662116, 'recall': 0.8131578947368421, 'f1': 0.639751552795031, 'number': 380}, 'overall_precision': 0.5088383838383839, 'overall_recall': 0.5900439238653001, 'overall_f1': 0.5464406779661017, 'overall_accuracy': 0.6865898228844531}
			------------EPOCH 10---------------
Loss: tensor(330.7623, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(451.2004, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(499.5522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(586.5664, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(740.4564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(690.1742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(823.2924, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(404.7089, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(540.7350, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(689.8201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(410.4213, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(740.9184, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1577.8347, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(367.2585, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1028.4211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1171.6461, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2121.4585, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(583.4174, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(616.2718, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1530.8962, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(713.7335, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(774.9230, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(320.1536, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(328.4858, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(530.2866, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(761.8094, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(541.6957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(344.8089, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(320.9740, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(341.0813, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(629.1855, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(498.9160, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1823.6891, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(601.1111, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(305.6851, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1184.8317, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(447.3500, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(415.8205, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(758.2985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(655.9164, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(552.0872, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(830.5301, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(985.6661, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1388.7118, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(633.6064, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(694.2134, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4015151515151515, 'recall': 0.6996699669966997, 'f1': 0.5102286401925392, 'number': 303}, 'P': {'precision': 0.6285714285714286, 'recall': 0.4052631578947368, 'f1': 0.4928, 'number': 380}, 'overall_precision': 0.47347994825355755, 'overall_recall': 0.5358711566617862, 'overall_f1': 0.5027472527472527, 'overall_accuracy': 0.6949114422265954}
			------------EPOCH 11---------------
Loss: tensor(365.7881, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(764.5635, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(546.5448, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(655.7390, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(657.9877, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(607.1662, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(780.2271, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(336.0787, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(311.6136, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(355.5864, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(350.4980, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(493.0221, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(893.0887, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(159.7613, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(509.6401, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(518.1171, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1037.9337, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(346.0979, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(346.7646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(758.1581, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(457.1731, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(525.4232, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(160.2598, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(188.5210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(187.6745, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(397.7308, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(333.4271, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(234.4683, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(237.2722, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(399.9468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(532.1916, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(441.6143, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1561.3944, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(581.3848, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(333.3556, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(991.7128, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(275.0977, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(235.3752, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(453.4196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(386.9211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(291.3755, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(421.0103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(373.6570, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(594.3071, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(279.3257, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(290.7505, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5, 'recall': 0.6171617161716172, 'f1': 0.552437223042836, 'number': 303}, 'P': {'precision': 0.6560693641618497, 'recall': 0.5973684210526315, 'f1': 0.6253443526170798, 'number': 380}, 'overall_precision': 0.575, 'overall_recall': 0.6061493411420205, 'overall_f1': 0.5901639344262295, 'overall_accuracy': 0.7610345797019961}
			------------EPOCH 12---------------
Loss: tensor(202.1660, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(186.1193, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(266.5161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(402.6068, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(424.1664, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(311.6285, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(569.0207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(222.3627, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(245.3873, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(365.8586, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(206.2223, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(462.1064, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(857.6330, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(124.9899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(370.1405, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(570.4308, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(639.8356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(301.4838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(251.9668, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(513.0529, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(367.6702, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(399.5208, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(128.8618, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(190.8280, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(255.1151, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(259.0268, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(186.6267, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(151.2926, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.7472, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(151.3182, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(288.8852, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(190.9923, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(787.4990, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(298.1323, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(153.6406, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(446.8922, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(210.9959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(175.8577, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(324.5980, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(260.3985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(194.9077, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(265.6769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(294.5408, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(521.8641, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(168.2112, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(222.9542, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.49800796812749004, 'recall': 0.41254125412541254, 'f1': 0.4512635379061372, 'number': 303}, 'P': {'precision': 0.5633270321361059, 'recall': 0.7842105263157895, 'f1': 0.6556655665566558, 'number': 380}, 'overall_precision': 0.5423076923076923, 'overall_recall': 0.6193265007320644, 'overall_f1': 0.5782638414217361, 'overall_accuracy': 0.7364070846218723}
			------------EPOCH 13---------------
Loss: tensor(124.1576, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.2930, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(181.4948, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(246.1673, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(213.2950, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(199.0366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(308.9334, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(204.1688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(128.9247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(159.6277, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.4606, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(293.1231, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(628.6867, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.2551, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(179.5353, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(314.1646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(423.1053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(177.2258, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.3018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(317.9365, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(198.8373, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(275.2604, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.3498, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(130.2763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.2051, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(198.6543, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.3630, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.5365, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.4625, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.8328, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(217.2666, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(171.0361, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(677.6980, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(184.3439, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(127.9916, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(435.7502, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(153.8639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(162.1900, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(224.7605, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(203.1528, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(120.6662, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(166.3287, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(132.4633, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(292.0826, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(90.7070, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(135.1571, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5147679324894515, 'recall': 0.40264026402640263, 'f1': 0.45185185185185184, 'number': 303}, 'P': {'precision': 0.5756972111553785, 'recall': 0.7605263157894737, 'f1': 0.6553287981859411, 'number': 380}, 'overall_precision': 0.5561569688768606, 'overall_recall': 0.6017569546120058, 'overall_f1': 0.5780590717299577, 'overall_accuracy': 0.7424233904976103}
			------------EPOCH 14---------------
Loss: tensor(52.2242, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.1383, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.2247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.2887, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(128.8969, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(94.7552, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(222.9622, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(91.1490, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(113.8297, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(154.6807, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.1859, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(205.7375, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(570.2376, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.3016, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(155.0397, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(341.1075, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(397.9932, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(137.4241, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(107.8221, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(364.6215, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(138.5084, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(207.4339, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.1176, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.8411, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.2231, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.6329, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.7565, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.5167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.5298, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.8380, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(136.0427, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.5995, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(441.6227, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(128.6222, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.9364, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(198.9937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(116.4160, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(120.1693, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(207.1265, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(170.3471, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(170.7335, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(174.5099, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(191.1353, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(244.2689, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(110.5275, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(227.0441, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.46788990825688076, 'recall': 0.6732673267326733, 'f1': 0.5520974289580515, 'number': 303}, 'P': {'precision': 0.6565349544072948, 'recall': 0.5684210526315789, 'f1': 0.609308885754584, 'number': 380}, 'overall_precision': 0.5490196078431373, 'overall_recall': 0.6149341142020498, 'overall_f1': 0.5801104972375691, 'overall_accuracy': 0.7276356480179927}
			------------EPOCH 15---------------
Loss: tensor(58.5563, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.0089, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.4847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(182.8938, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.8711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.7027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(188.2221, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.2582, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.5720, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(76.5865, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.2679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(150.4473, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(263.9637, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.7672, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(76.3438, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(110.7513, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(154.3852, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.3456, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.5091, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(156.6908, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(122.0192, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(211.7471, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.8914, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(90.7336, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.4866, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(145.3034, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(145.3485, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(94.7638, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(153.0657, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(106.4566, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(199.1532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(94.6570, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(576.3041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.6136, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(126.9431, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(279.9261, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.6324, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.4409, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.5840, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.4528, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.5028, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.2281, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.2357, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(120.1302, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.2096, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.9209, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.46017699115044247, 'recall': 0.6864686468646864, 'f1': 0.5509933774834438, 'number': 303}, 'P': {'precision': 0.6923076923076923, 'recall': 0.5447368421052632, 'f1': 0.609720176730486, 'number': 380}, 'overall_precision': 0.5525965379494008, 'overall_recall': 0.6076134699853587, 'overall_f1': 0.5788005578800558, 'overall_accuracy': 0.7306156873770031}
			------------EPOCH 16---------------
Loss: tensor(38.8926, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.5769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.6942, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(130.2470, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(122.3288, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(123.1822, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(200.0073, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(99.3411, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(136.8000, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(193.6403, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(147.2184, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(285.1968, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(508.4052, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.0042, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(287.5015, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(319.2820, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(181.3249, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(94.7891, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.9483, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(211.6739, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.7646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.7853, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.9965, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.0819, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.5268, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.3818, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.3907, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.1979, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.7761, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.3332, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.7374, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.9564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(280.5961, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.3782, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.2613, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.9496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(123.4164, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.0747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(134.9763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(181.3788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(158.5011, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(165.4788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(213.2644, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(290.5878, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.0928, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(159.8994, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5527638190954773, 'recall': 0.36303630363036304, 'f1': 0.43824701195219123, 'number': 303}, 'P': {'precision': 0.5724770642201835, 'recall': 0.8210526315789474, 'f1': 0.6745945945945947, 'number': 380}, 'overall_precision': 0.5672043010752689, 'overall_recall': 0.6178623718887262, 'overall_f1': 0.5914505956552207, 'overall_accuracy': 0.7452909755411864}
			------------EPOCH 17---------------
Loss: tensor(82.7176, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.2989, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.1413, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(133.7290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.5174, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.2103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(126.8230, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.2330, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.4273, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.5843, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.5521, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.4710, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(193.9733, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.0684, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.4439, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.9566, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.9551, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.1449, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.0823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.2552, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(87.9642, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.1957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.1648, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.3153, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.0949, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.0000, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.1431, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.2113, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.7599, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.6619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.8703, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.1312, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(277.2335, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.2290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.6854, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(142.2051, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.0589, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.2396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.3053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(127.5690, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.0960, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.6684, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.6538, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.8821, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.2604, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(137.9825, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4735576923076923, 'recall': 0.6501650165016502, 'f1': 0.5479833101529903, 'number': 303}, 'P': {'precision': 0.6588921282798834, 'recall': 0.5947368421052631, 'f1': 0.6251728907330568, 'number': 380}, 'overall_precision': 0.5573122529644269, 'overall_recall': 0.6193265007320644, 'overall_f1': 0.5866851595006936, 'overall_accuracy': 0.7333708181051448}
			------------EPOCH 18---------------
Loss: tensor(26.4173, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.1948, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.3405, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.7719, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.4451, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.4149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.5987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.2655, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.4185, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.4756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3222, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.8380, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.9630, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.5602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.0716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.8718, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.6573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8751, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.6978, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.1916, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.1038, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(108.9683, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.1275, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.3891, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5470, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.9458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.2306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.2137, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9449, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.3425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.9892, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.2067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(113.3371, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.3632, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.8524, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.6593, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.7498, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.5479, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.7375, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.7893, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.8735, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.0686, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.8438, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.4749, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.3257, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.5806, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.49333333333333335, 'recall': 0.4884488448844885, 'f1': 0.4908789386401327, 'number': 303}, 'P': {'precision': 0.5910064239828694, 'recall': 0.7263157894736842, 'f1': 0.6517119244391972, 'number': 380}, 'overall_precision': 0.5528031290743155, 'overall_recall': 0.6207906295754027, 'overall_f1': 0.5848275862068966, 'overall_accuracy': 0.7366319932527411}
			------------EPOCH 19---------------
Loss: tensor(18.1781, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.2797, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9530, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.2691, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.9791, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.6570, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.9199, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.2322, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.6376, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.3023, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8475, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.1303, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.1278, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.5899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.9967, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.6122, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.5009, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.8544, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.8818, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.6651, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.1528, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.9534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.4602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.5896, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5563, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.4562, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.4754, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.4099, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.9409, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3832, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.7763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.0256, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.5566, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.7751, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.9388, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.6597, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.0483, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9390, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.3823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.9596, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.5240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.7593, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5481, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.2801, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.5035, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.0905, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.496875, 'recall': 0.5247524752475248, 'f1': 0.5104333868378813, 'number': 303}, 'P': {'precision': 0.6199095022624435, 'recall': 0.7210526315789474, 'f1': 0.6666666666666666, 'number': 380}, 'overall_precision': 0.568241469816273, 'overall_recall': 0.6339677891654466, 'overall_f1': 0.5993079584775087, 'overall_accuracy': 0.7459657014337925}
			------------EPOCH 20---------------
Loss: tensor(14.4295, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.2804, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.8349, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.2393, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.9540, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5660, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.1963, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.8796, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.3708, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8242, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.5923, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.7707, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.4636, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.6963, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.6612, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.7825, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.9685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.4527, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.7087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.3126, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.6435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5837, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.1112, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.0873, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.3190, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.9184, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.4574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.1659, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5497, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9757, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9757, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.4034, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.9425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.6310, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.7557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2242, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.8339, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.4766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.8141, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.7883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.3550, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.3852, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.2265, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.3905, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.49107142857142855, 'recall': 0.5445544554455446, 'f1': 0.516431924882629, 'number': 303}, 'P': {'precision': 0.625, 'recall': 0.7105263157894737, 'f1': 0.6650246305418719, 'number': 380}, 'overall_precision': 0.56640625, 'overall_recall': 0.636896046852123, 'overall_f1': 0.5995864920744314, 'overall_accuracy': 0.7481023334270452}
			------------EPOCH 21---------------
Loss: tensor(10.8395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.8934, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.5947, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.8586, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.2513, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.0494, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6963, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.0177, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.2231, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.5888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.8094, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.6177, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.7957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.8519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.4062, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.8189, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.1244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.2055, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.2663, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.3251, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.1291, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2815, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.2680, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.8123, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4877, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.6894, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1025, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3713, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.0615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.5081, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.2500, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.8616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.6614, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.0366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.3459, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.2204, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.5019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.4505, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.8022, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.3884, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.4114, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.5753, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.47875354107648727, 'recall': 0.5577557755775577, 'f1': 0.5152439024390245, 'number': 303}, 'P': {'precision': 0.6018735362997658, 'recall': 0.6763157894736842, 'f1': 0.6369268897149938, 'number': 380}, 'overall_precision': 0.5461538461538461, 'overall_recall': 0.623718887262079, 'overall_f1': 0.582365003417635, 'overall_accuracy': 0.7406803486083778}
			------------EPOCH 22---------------
Loss: tensor(66.9480, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.9018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.0512, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.7343, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.3122, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.2356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.7040, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.7373, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5031, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.1049, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.4889, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.7290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.3239, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9562, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.3476, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.6749, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.8026, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.6462, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.2951, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.1413, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.4565, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.7419, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5275, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.0210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.1688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.6705, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.6662, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7676, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8448, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7924, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.7612, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.8777, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.4512, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.5592, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8127, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.9154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.9534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.6995, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.8146, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.4156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.1944, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.1341, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.2454, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.3045, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.6821, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.47592067988668557, 'recall': 0.5544554455445545, 'f1': 0.5121951219512195, 'number': 303}, 'P': {'precision': 0.581081081081081, 'recall': 0.6789473684210526, 'f1': 0.6262135922330097, 'number': 380}, 'overall_precision': 0.534504391468005, 'overall_recall': 0.623718887262079, 'overall_f1': 0.5756756756756758, 'overall_accuracy': 0.7427607534439135}
			------------EPOCH 23---------------
Loss: tensor(10.3628, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9682, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3108, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5707, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.1365, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.0840, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8216, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9444, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.9676, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9010, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.1567, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.8473, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9696, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.3949, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.1026, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.3558, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.9725, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.2973, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.8638, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.0154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.3765, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.6892, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.6165, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.7310, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.9724, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.9679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2362, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.0273, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8951, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.4260, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.0856, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.2422, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.7551, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.0816, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.0101, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4657, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.3616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.6327, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.2695, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.0196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.7419, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.6166, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.1984, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.8835, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.3694, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5, 'recall': 0.5610561056105611, 'f1': 0.5287713841368585, 'number': 303}, 'P': {'precision': 0.5945945945945946, 'recall': 0.6947368421052632, 'f1': 0.6407766990291263, 'number': 380}, 'overall_precision': 0.5535714285714286, 'overall_recall': 0.6354319180087847, 'overall_f1': 0.5916837082481253, 'overall_accuracy': 0.7439977509136914}
			------------EPOCH 24---------------
Loss: tensor(8.4356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.1180, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.3514, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.2304, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5718, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.4160, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4004, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.9041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.9988, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.9837, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.8242, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.0983, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.9603, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3297, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4394, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.1842, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.7573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.4881, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.5103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.5602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.4290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3715, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.6892, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.2892, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.9529, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.5762, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.4073, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.8954, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.6981, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.1820, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.4852, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.9104, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.9206, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.8028, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.5475, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.8256, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.8356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.3711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9202, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.8171, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.1837, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.9351, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.6067, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5058823529411764, 'recall': 0.5676567656765676, 'f1': 0.5349922239502333, 'number': 303}, 'P': {'precision': 0.6036866359447005, 'recall': 0.6894736842105263, 'f1': 0.6437346437346438, 'number': 380}, 'overall_precision': 0.5607235142118863, 'overall_recall': 0.6354319180087847, 'overall_f1': 0.5957446808510639, 'overall_accuracy': 0.7507450098397526}
			------------EPOCH 25---------------
Loss: tensor(5.2246, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2691, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.6766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.0938, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.6428, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9786, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.4039, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.3114, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9968, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.4412, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5621, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.8148, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.5838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.4377, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.2158, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.9384, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.7257, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.5541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.4039, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.6561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.3169, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.9949, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.9063, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.2409, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2353, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.0497, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8671, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.5359, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.4788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.7374, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.2718, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.4604, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5055, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.5402, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.4175, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.5570, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5466, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.5700, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.7066, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.6849, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.4717, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.2159, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8930, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.0879, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5043227665706052, 'recall': 0.5775577557755776, 'f1': 0.5384615384615384, 'number': 303}, 'P': {'precision': 0.6111111111111112, 'recall': 0.6947368421052632, 'f1': 0.6502463054187193, 'number': 380}, 'overall_precision': 0.5635430038510911, 'overall_recall': 0.6427525622254758, 'overall_f1': 0.6005471956224351, 'overall_accuracy': 0.7494517852122575}
			------------EPOCH 26---------------
Loss: tensor(3.9571, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.9529, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0662, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.8253, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.3505, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.9807, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.7469, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.1371, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.8155, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.7334, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2374, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8902, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.6133, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.0588, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.0873, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.2925, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.2984, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.3962, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3882, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.0515, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8269, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.5769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6644, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5180, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.3444, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.9492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3208, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.5306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.9545, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.7707, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.2940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.4618, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.6828, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.4641, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.5877, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.0542, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.3260, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.9901, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.0590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.5112, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4843, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.8343, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.9823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.9201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8587, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.9623, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4713896457765668, 'recall': 0.570957095709571, 'f1': 0.5164179104477612, 'number': 303}, 'P': {'precision': 0.5945945945945946, 'recall': 0.6368421052631579, 'f1': 0.6149936467598475, 'number': 380}, 'overall_precision': 0.5361757105943152, 'overall_recall': 0.6076134699853587, 'overall_f1': 0.5696636925188744, 'overall_accuracy': 0.7405116671352263}
			------------EPOCH 27---------------
Loss: tensor(4.1817, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.2665, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.6810, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.5483, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.4342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.4484, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.0082, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.0873, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.9639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.7386, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3119, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.8923, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(135.1483, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.6912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.4058, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.6513, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.5593, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.1679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.2722, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.7886, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.2959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.1331, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.3319, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1869, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.7425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8725, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.5110, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.3052, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.0283, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.4625, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.4642, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.9192, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(87.5154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.7851, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.8596, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.5683, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.9841, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.0254, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.1019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.0415, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2853, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.6478, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.1128, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.0522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.8360, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.0026, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4550561797752809, 'recall': 0.5346534653465347, 'f1': 0.49165402124430957, 'number': 303}, 'P': {'precision': 0.5796766743648961, 'recall': 0.6605263157894737, 'f1': 0.6174661746617467, 'number': 380}, 'overall_precision': 0.523447401774398, 'overall_recall': 0.6046852122986823, 'overall_f1': 0.5611413043478262, 'overall_accuracy': 0.7332021366319933}
			------------EPOCH 28---------------
Loss: tensor(6.2496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5482, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1872, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9145, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.1429, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8028, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.7850, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8423, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.0435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.9972, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.6086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.8143, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.7180, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.4972, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.6616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.0442, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.4621, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0710, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.1506, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.6356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.8324, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.7200, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.7238, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.4129, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.1588, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.0774, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.8106, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.9477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.5772, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.4428, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.4635, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9824, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.2246, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.3883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3862, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.2038, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6749, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.2184, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.2036, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.0612, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.3632, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.8189, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.5208, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9482, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.3992, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.48717948717948717, 'recall': 0.6270627062706271, 'f1': 0.5483405483405484, 'number': 303}, 'P': {'precision': 0.6494565217391305, 'recall': 0.6289473684210526, 'f1': 0.6390374331550802, 'number': 380}, 'overall_precision': 0.5659630606860159, 'overall_recall': 0.6281112737920937, 'overall_f1': 0.5954198473282443, 'overall_accuracy': 0.729322462749508}
			------------EPOCH 29---------------
Loss: tensor(3.6250, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.7414, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3636, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.5600, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.5089, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.9349, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.6447, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.2025, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.3637, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0437, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.2244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.2604, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.5519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.8147, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.0574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.1742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.5927, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5474, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.4947, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.0186, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.6459, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.2450, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.7565, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.9599, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.6248, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.0694, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.9384, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.9266, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.0184, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.9545, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.6268, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.3884, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4822, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.3653, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.2675, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5527, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.7515, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.8701, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.0531, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.3381, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6491, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.4305, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.6161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.2919, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4758842443729904, 'recall': 0.4884488448844885, 'f1': 0.482084690553746, 'number': 303}, 'P': {'precision': 0.5807127882599581, 'recall': 0.7289473684210527, 'f1': 0.646441073512252, 'number': 380}, 'overall_precision': 0.5393401015228426, 'overall_recall': 0.6222547584187409, 'overall_f1': 0.5778382053025153, 'overall_accuracy': 0.7363508574641552}
			------------EPOCH 30---------------
Loss: tensor(2.2921, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.9246, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5065, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5237, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.1771, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.3799, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.4491, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.0948, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.5130, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.9285, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.8287, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.5844, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.8503, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.5240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.8258, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8634, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5021, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.2802, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.6756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.4363, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.7600, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.0479, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.2171, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.0906, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.7546, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.1153, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.0602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.7895, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.5575, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.2634, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.7585, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.6143, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.3059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.7946, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.6214, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.4914, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.2179, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.0745, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.3856, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.5285, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.6594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9942, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.5095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.6122, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.4180, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.2599, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4789915966386555, 'recall': 0.5643564356435643, 'f1': 0.5181818181818182, 'number': 303}, 'P': {'precision': 0.6195121951219512, 'recall': 0.6684210526315789, 'f1': 0.6430379746835443, 'number': 380}, 'overall_precision': 0.5541069100391134, 'overall_recall': 0.6222547584187409, 'overall_f1': 0.5862068965517241, 'overall_accuracy': 0.7456283384874894}


		-------------RUN 5-----------
			------------EPOCH 1---------------
Loss: tensor(1751.4790, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1648.6221, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1475.9590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3355.9487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1564.6660, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1871.5261, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1930.2284, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1989.0098, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2167.0405, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2274.0986, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2826.5183, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3235.1570, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5461.3569, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1993.6182, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2811.7290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1669.2070, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3426.2004, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3417.3613, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7253.4033, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2617.4656, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1005.1525, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1548.1666, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1776.5940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3255.4426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2578.0781, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1846.8562, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3133.5107, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1625.0018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2450.8330, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1885.7202, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1480.5798, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2208.8889, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3083.5986, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2518.0295, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3341.6086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1355.1085, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2195.7588, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2638.7041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2446.2891, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2540.6592, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5585.7285, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1587.0999, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2238.9136, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2202.6523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4734.7920, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.15025906735751296, 'recall': 0.08734939759036145, 'f1': 0.11047619047619048, 'number': 332}, 'P': {'precision': 0.2828282828282828, 'recall': 0.35294117647058826, 'f1': 0.31401869158878504, 'number': 476}, 'overall_precision': 0.2503176620076239, 'overall_recall': 0.2438118811881188, 'overall_f1': 0.24702194357366772, 'overall_accuracy': 0.6181562206695171}
			------------EPOCH 2---------------
Loss: tensor(1280.3634, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1156.3552, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1062.3157, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2285.5098, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1370.3767, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1686.8267, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1740.1123, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1675.4324, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1547.3408, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1557.8612, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2182.2146, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2619.1108, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4692.5200, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1589.8514, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2164.6135, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1250.3679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2915.6011, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2757.6870, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5944.7715, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2166.0847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(791.3555, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1306.7191, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1446.6456, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2373.4385, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2137.9641, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1561.3442, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2569.7166, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1299.9604, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2011.8763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1489.2922, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1198.7632, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1709.3156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2448.1226, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2266.6594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2885.9556, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1202.4661, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1932.9749, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1955.6559, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1983.9399, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2233.2373, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4449.7725, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1298.4753, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1935.0989, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1665.0620, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3944.5815, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.1686746987951807, 'recall': 0.04216867469879518, 'f1': 0.06746987951807229, 'number': 332}, 'P': {'precision': 0.23167539267015708, 'recall': 0.37184873949579833, 'f1': 0.2854838709677419, 'number': 476}, 'overall_precision': 0.2255017709563164, 'overall_recall': 0.23638613861386137, 'overall_f1': 0.2308157099697885, 'overall_accuracy': 0.640004171446449}
			------------EPOCH 3---------------
Loss: tensor(1143.3904, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1009.1711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(944.9655, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2099.6870, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1171.0750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1499.0067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1506.2025, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1510.2854, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1389.5317, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1325.7756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2050.7241, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2441.4619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3452.8984, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1369.1896, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1783.7366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1013.7028, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2600.0884, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2254.9277, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5047.8262, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1653.7629, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(671.4188, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1125.2133, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1190.8118, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2021.8154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1988.4939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1256.0542, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2329.8303, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(863.6361, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1620.6130, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1288.9828, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(964.3627, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1365.8406, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2023.4910, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1906.1099, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2477.5522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(970.0519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1461.6903, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1468.8516, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1744.9493, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1548.0071, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3729.3313, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1026.8235, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1680.4890, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1126.3142, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3192.4780, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.2757201646090535, 'recall': 0.20180722891566266, 'f1': 0.23304347826086957, 'number': 332}, 'P': {'precision': 0.361247947454844, 'recall': 0.46218487394957986, 'f1': 0.4055299539170507, 'number': 476}, 'overall_precision': 0.3368544600938967, 'overall_recall': 0.3551980198019802, 'overall_f1': 0.34578313253012044, 'overall_accuracy': 0.6884450933361143}
			------------EPOCH 4---------------
Loss: tensor(987.2576, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(836.6962, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(819.6661, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1696.2185, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(848.4648, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(936.4561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(875.6111, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1044.4858, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1205.2147, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1089.4187, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1702.4493, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2003.9504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2752.7686, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1200.0756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1415.5950, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(707.7299, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1977.0779, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1796.3080, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4406.8945, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1396.5195, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(648.8179, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(966.3119, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(932.7018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1116.0438, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1754.5276, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1091.1267, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2043.4436, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(710.5068, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1416.1378, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1147.0145, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(761.8215, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1145.1128, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1733.8661, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1598.6031, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2132.6765, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(806.1201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1072.9572, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(948.2985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1177.6597, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1095.8214, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3213.0322, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(878.8616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1420.2933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1039.0179, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2687.8052, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3422459893048128, 'recall': 0.1927710843373494, 'f1': 0.24662813102119463, 'number': 332}, 'P': {'precision': 0.45112781954887216, 'recall': 0.6302521008403361, 'f1': 0.5258545135845749, 'number': 476}, 'overall_precision': 0.4272300469483568, 'overall_recall': 0.4504950495049505, 'overall_f1': 0.43855421686746987, 'overall_accuracy': 0.7429346125769111}
			------------EPOCH 5---------------
Loss: tensor(784.5169, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(665.7520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(626.2376, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1500.1198, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(696.8742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(710.8658, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(651.4907, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(922.6768, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1067.3962, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(861.4100, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1567.9255, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1793.9409, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2778.5708, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(988.0489, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1140.5314, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(535.9111, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1879.2485, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1733.6748, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3792.6738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1120.4851, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(509.3166, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(851.2723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(756.1196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1061.1376, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1340.0093, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(955.5414, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1544.4060, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(482.3555, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(958.5376, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(804.6180, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(565.4209, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(844.5536, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1316.7013, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1305.7903, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2233.2407, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(692.7215, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(868.2369, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(729.8754, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1033.3926, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(891.4740, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2474.8193, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(693.8177, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(953.3657, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(717.1377, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2044.8010, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3234323432343234, 'recall': 0.5903614457831325, 'f1': 0.417910447761194, 'number': 332}, 'P': {'precision': 0.5613382899628253, 'recall': 0.3172268907563025, 'f1': 0.4053691275167785, 'number': 476}, 'overall_precision': 0.3965714285714286, 'overall_recall': 0.42945544554455445, 'overall_f1': 0.4123588829471182, 'overall_accuracy': 0.6359891542392324}
			------------EPOCH 6---------------
Loss: tensor(543.8541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(506.7062, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(615.8628, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1237.5027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(500.9716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(535.0087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(459.8705, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(498.8239, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(852.3243, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(650.5783, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1079.4731, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1666.6870, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1659.6742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(776.6559, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(752.5444, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(289.8290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1255.3948, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1335.2581, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3576.5796, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1038.7336, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(422.4317, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(664.3979, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(575.0522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(537.5203, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(991.6572, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(702.7531, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1219.2764, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(342.7342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(738.4833, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(637.1226, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(422.3569, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(626.7554, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1065.0850, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(943.1345, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1375.2190, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(539.2310, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(644.0636, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(559.0918, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(784.6710, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(561.1655, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1843.6659, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(499.4695, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(682.3807, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(526.3250, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1422.7136, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.44363636363636366, 'recall': 0.3674698795180723, 'f1': 0.40197693574958815, 'number': 332}, 'P': {'precision': 0.5660377358490566, 'recall': 0.6932773109243697, 'f1': 0.6232294617563738, 'number': 476}, 'overall_precision': 0.5268065268065268, 'overall_recall': 0.5594059405940595, 'overall_f1': 0.5426170468187275, 'overall_accuracy': 0.7692668682865784}
			------------EPOCH 7---------------
Loss: tensor(354.4233, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(268.7581, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(278.0964, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(923.7173, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(369.7823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(344.6312, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(351.2893, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(326.4442, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(595.4035, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(387.9007, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(663.3046, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(869.2063, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1312.6763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(630.4789, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(663.5239, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(215.2395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(767.9509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(753.1803, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1956.5413, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(448.2796, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(342.7319, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(497.5990, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(456.7510, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(312.5028, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(883.8175, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(654.9390, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1086.7983, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(242.9090, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(543.8160, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(495.4263, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(290.1544, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(485.1890, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(797.1340, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(651.8868, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1090.7173, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(391.4589, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(340.8929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(289.2561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(508.6615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(351.1036, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1206.7825, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(362.3548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(536.2939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(480.9547, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(936.3773, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.37857142857142856, 'recall': 0.3192771084337349, 'f1': 0.34640522875816987, 'number': 332}, 'P': {'precision': 0.519163763066202, 'recall': 0.6260504201680672, 'f1': 0.5676190476190476, 'number': 476}, 'overall_precision': 0.47306791569086654, 'overall_recall': 0.5, 'overall_f1': 0.4861612515042118, 'overall_accuracy': 0.7698404421733236}
			------------EPOCH 8---------------
Loss: tensor(253.7830, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(165.1887, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(191.4883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(661.9017, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(283.7955, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(261.5610, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(230.6189, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(260.1281, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(441.9952, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(197.4981, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(418.1753, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(548.5294, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1022.6115, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(390.5290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(368.9449, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(113.9526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(503.7196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(406.0052, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1209.5751, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(281.4750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(186.7031, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(329.8206, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(355.5915, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(171.6961, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(556.4575, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(457.5468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(632.1443, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(132.5673, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(288.5443, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(242.2016, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(130.2885, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(322.4424, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(459.8299, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(615.4756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(840.4688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(246.5562, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(283.9568, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(203.1310, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(376.0992, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(292.6580, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(902.3438, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(269.7489, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(258.0975, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(448.4160, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(864.3662, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.38127090301003347, 'recall': 0.6867469879518072, 'f1': 0.49032258064516127, 'number': 332}, 'P': {'precision': 0.6420664206642066, 'recall': 0.36554621848739494, 'f1': 0.46586345381526095, 'number': 476}, 'overall_precision': 0.4626006904487917, 'overall_recall': 0.4975247524752475, 'overall_f1': 0.4794275491949911, 'overall_accuracy': 0.6773386171655021}
			------------EPOCH 9---------------
Loss: tensor(184.0494, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.4684, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(320.1580, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(619.8246, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(316.8314, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(241.4893, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.5605, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(238.7167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(337.2271, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(144.6116, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(345.6320, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(606.8076, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(604.8766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(276.8542, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(257.5914, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.5748, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(656.9888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(597.7042, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1674.8225, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(405.4100, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(124.6874, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(244.0551, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(162.2719, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(110.4644, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(251.1528, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(245.5740, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(370.3056, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.6191, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(214.2435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(184.5541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(94.4232, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(238.8300, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(392.0859, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(519.9570, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(768.7019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(257.0929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(209.5557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(188.1116, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(369.3059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(248.7511, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(445.6759, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.0415, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(182.1818, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(298.0651, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(691.2991, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4043062200956938, 'recall': 0.5090361445783133, 'f1': 0.4506666666666666, 'number': 332}, 'P': {'precision': 0.6300813008130082, 'recall': 0.6512605042016807, 'f1': 0.640495867768595, 'number': 476}, 'overall_precision': 0.5263736263736264, 'overall_recall': 0.5928217821782178, 'overall_f1': 0.5576251455180442, 'overall_accuracy': 0.7376681614349776}
			------------EPOCH 10---------------
Loss: tensor(184.7642, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(101.4961, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.2495, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(426.7628, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(149.4670, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(98.4119, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.4226, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(135.2174, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(220.7106, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.8892, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(228.9690, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(242.8091, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(401.4257, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(184.7372, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(223.7206, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.6534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(324.3440, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(248.0303, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(861.9668, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(154.2466, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.5514, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(164.4042, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(153.7964, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.0908, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(294.3783, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(318.3481, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(387.5985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.1889, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(294.1477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(183.4814, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(129.7068, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(283.6340, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(156.6330, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(369.3513, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(473.8027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.4707, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(91.5838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.1998, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(171.4784, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(110.8033, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(383.0866, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.9379, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(107.9713, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(209.0679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(521.1296, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.35993975903614456, 'recall': 0.7198795180722891, 'f1': 0.4799196787148594, 'number': 332}, 'P': {'precision': 0.6597510373443983, 'recall': 0.33403361344537813, 'f1': 0.4435146443514644, 'number': 476}, 'overall_precision': 0.4397790055248619, 'overall_recall': 0.49257425742574257, 'overall_f1': 0.464681844716871, 'overall_accuracy': 0.6331212848055063}
			------------EPOCH 11---------------
Loss: tensor(138.2283, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.6144, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(166.8829, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(322.1656, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(165.7781, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.5151, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.7292, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(156.6235, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(212.0119, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.6790, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(227.9410, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(339.2678, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(357.2729, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(150.2831, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(234.4200, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.6472, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(160.9930, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(158.7072, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(408.0251, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.8625, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.3724, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.1957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.0653, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.8103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(158.0086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(207.3502, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(248.7758, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.8768, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(378.4378, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(145.3826, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.2120, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(323.2167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(267.9557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(854.5093, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(828.9885, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(210.8147, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(238.5766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(128.9948, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(263.2911, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(177.5721, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(243.5292, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(77.3845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.3529, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(176.9933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(260.7660, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3413940256045519, 'recall': 0.7228915662650602, 'f1': 0.463768115942029, 'number': 332}, 'P': {'precision': 0.6195652173913043, 'recall': 0.23949579831932774, 'f1': 0.34545454545454546, 'number': 476}, 'overall_precision': 0.399098083427283, 'overall_recall': 0.4381188118811881, 'overall_f1': 0.4176991150442478, 'overall_accuracy': 0.6072583168213578}
			------------EPOCH 12---------------
Loss: tensor(113.5859, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.7769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(111.8547, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(195.3792, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(197.1733, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(155.7137, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(121.3238, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(152.8730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(490.7175, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(295.2397, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(659.6788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1185.8958, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(665.4989, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(193.0003, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(338.7823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.1702, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(284.2722, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(189.4518, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(588.3116, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(138.2934, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.1770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(122.6403, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(156.8658, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(122.3080, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(189.1150, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(135.0565, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(329.8719, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.6127, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(122.5897, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(364.0629, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(348.6808, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(407.1503, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(147.9368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(472.3423, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(698.7217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(317.2077, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(253.6069, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(152.5479, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(372.4065, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(223.9765, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1080.5360, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(282.0495, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(431.1407, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(278.0424, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(527.6071, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4176334106728538, 'recall': 0.5421686746987951, 'f1': 0.47182175622542594, 'number': 332}, 'P': {'precision': 0.6206896551724138, 'recall': 0.5294117647058824, 'f1': 0.5714285714285715, 'number': 476}, 'overall_precision': 0.5161290322580645, 'overall_recall': 0.5346534653465347, 'overall_f1': 0.5252279635258359, 'overall_accuracy': 0.7358952966941287}
			------------EPOCH 13---------------
Loss: tensor(157.8770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.4928, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(116.2393, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(245.9263, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(116.9475, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.5039, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.8928, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.4227, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(240.0775, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.5228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(130.5456, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(116.8575, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(699.0432, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(235.0160, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(711.6168, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(464.6623, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(353.9795, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(378.4106, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(717.7495, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(151.6265, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(99.0848, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(227.9277, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(148.7457, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(162.1359, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(408.9627, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(250.8485, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(461.1226, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.5247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(444.0470, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(383.3938, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(276.1204, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(548.7063, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(562.8209, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1129.4341, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1303.6001, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(377.6987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(164.9903, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(273.2066, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(340.6942, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(616.1032, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(370.8950, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(216.9651, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(171.5023, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(149.2683, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(876.2818, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.2750809061488673, 'recall': 0.2560240963855422, 'f1': 0.26521060842433697, 'number': 332}, 'P': {'precision': 0.40305010893246185, 'recall': 0.38865546218487396, 'f1': 0.39572192513368987, 'number': 476}, 'overall_precision': 0.3515625, 'overall_recall': 0.3341584158415842, 'overall_f1': 0.3426395939086294, 'overall_accuracy': 0.6826572113880488}
			------------EPOCH 14---------------
Loss: tensor(260.2406, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(227.4086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(160.8857, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(949.8489, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(158.3934, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.5313, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.4069, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.4434, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(245.2209, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(309.8644, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(307.6284, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(315.3053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(263.3680, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(211.6777, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(209.3199, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.6180, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(305.9305, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(304.2220, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(838.4347, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(225.9418, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(128.5542, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(366.2027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(243.9407, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(693.7346, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(147.2886, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(259.7617, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(373.2059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(121.9278, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.3217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(151.1311, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(91.1205, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(257.2335, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(410.0867, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(465.5240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(568.2565, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(316.3941, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(633.9061, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(247.7552, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(371.6216, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(443.2287, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1521.6940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(483.2321, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(724.1050, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(432.7277, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1191.4061, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5226586102719033, 'recall': 0.5210843373493976, 'f1': 0.521870286576169, 'number': 332}, 'P': {'precision': 0.6625441696113075, 'recall': 0.7878151260504201, 'f1': 0.7197696737044146, 'number': 476}, 'overall_precision': 0.6109253065774805, 'overall_recall': 0.6782178217821783, 'overall_f1': 0.6428152492668623, 'overall_accuracy': 0.8057670247158202}
			------------EPOCH 15---------------
Loss: tensor(122.9845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.7543, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.1525, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(304.5981, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(102.2054, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.4053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.0362, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.1446, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(177.7170, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.2558, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(191.8490, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(145.1169, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(353.7856, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(248.2955, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(313.3558, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.4741, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(646.0986, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(642.4547, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1483.4315, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(442.6033, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(186.1053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(418.0661, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(360.2919, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(430.7246, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(404.7874, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(399.6554, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(716.6451, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(236.2799, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(375.1005, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(287.7675, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(210.6073, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(308.5652, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(158.1172, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(257.5253, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(293.3169, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(97.7511, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(124.7025, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(98.2105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.3025, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(137.0676, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(376.6866, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(147.6020, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(126.4023, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(194.0592, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2264.3945, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5740740740740741, 'recall': 0.28012048192771083, 'f1': 0.3765182186234818, 'number': 332}, 'P': {'precision': 0.5067024128686327, 'recall': 0.7941176470588235, 'f1': 0.618657937806874, 'number': 476}, 'overall_precision': 0.5187224669603524, 'overall_recall': 0.5829207920792079, 'overall_f1': 0.548951048951049, 'overall_accuracy': 0.7298988424236104}
			------------EPOCH 16---------------
Loss: tensor(505.5462, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(360.1549, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(381.1205, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1692.9690, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(566.7279, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(353.9408, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(236.4622, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(361.4952, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(411.4517, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(203.6493, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(641.4612, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(539.6430, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(393.4000, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(321.2360, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(188.8480, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.4583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(197.5430, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(107.6143, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(341.6039, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.2713, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.9024, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.8587, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.3352, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(113.9673, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(261.6315, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(210.3853, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(333.0691, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.9141, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(566.0300, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(450.4371, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(308.6922, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(475.3543, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(546.9323, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(560.2901, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(730.0703, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(378.2257, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(461.9348, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(965.6149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(535.1108, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(340.6889, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(599.5471, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.6909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(219.1698, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(229.5453, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(191.8000, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5528169014084507, 'recall': 0.47289156626506024, 'f1': 0.5097402597402597, 'number': 332}, 'P': {'precision': 0.6153846153846154, 'recall': 0.7563025210084033, 'f1': 0.6786050895381716, 'number': 476}, 'overall_precision': 0.5949367088607594, 'overall_recall': 0.6398514851485149, 'overall_f1': 0.616577221228384, 'overall_accuracy': 0.7960684117217646}
			------------EPOCH 17---------------
Loss: tensor(61.8366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.7160, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.4926, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(154.4348, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(189.1134, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(200.5591, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(137.9191, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(159.6040, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(318.0356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(137.9890, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(258.4786, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(360.1291, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(528.2196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(572.1466, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(435.2931, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(273.6327, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(295.3778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(405.8438, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1135.9498, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(411.8156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(112.4157, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(138.3687, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.2610, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.1526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.7975, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.1770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(127.5134, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.3322, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.6629, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.1763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.1785, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(135.9609, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(87.7940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(176.1086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(193.8280, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.4284, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(165.7281, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.8839, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.7653, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(125.3662, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(485.3584, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(145.4953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(162.8621, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(346.1430, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(576.0087, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3865546218487395, 'recall': 0.6927710843373494, 'f1': 0.4962243797195254, 'number': 332}, 'P': {'precision': 0.67003367003367, 'recall': 0.4180672268907563, 'f1': 0.5148771021992238, 'number': 476}, 'overall_precision': 0.48094170403587444, 'overall_recall': 0.530940594059406, 'overall_f1': 0.5047058823529412, 'overall_accuracy': 0.6743664615705496}
			------------EPOCH 18---------------
Loss: tensor(99.5134, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.0356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(221.1984, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(244.9720, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.8845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.3824, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.4565, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.8266, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(185.9866, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.9741, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(97.0534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.1730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.6260, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.7378, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(94.8087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.9535, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(92.2061, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.3643, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(228.2400, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.7768, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.8659, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.6717, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.3145, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.3433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.7826, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.8663, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.4460, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.5059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.1666, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.3677, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.2958, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(115.8531, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.0284, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(126.4156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.6313, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.0628, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.4838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.3005, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.0332, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.3076, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.2781, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.1865, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.8988, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.0930, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(112.1228, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5290519877675841, 'recall': 0.5210843373493976, 'f1': 0.5250379362670714, 'number': 332}, 'P': {'precision': 0.67984934086629, 'recall': 0.7584033613445378, 'f1': 0.7169811320754716, 'number': 476}, 'overall_precision': 0.6223776223776224, 'overall_recall': 0.6608910891089109, 'overall_f1': 0.6410564225690276, 'overall_accuracy': 0.786943372614454}
			------------EPOCH 19---------------
Loss: tensor(48.9160, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.7447, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.5255, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(126.7169, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.6534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9697, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.9337, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.0534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.9016, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.9984, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.7604, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.8183, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.4605, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.4176, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.2563, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.3048, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.9299, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.0187, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(131.6327, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.4345, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1139, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.3995, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.3694, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.9874, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.8076, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.5536, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.2786, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7813, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.0531, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.2836, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.0355, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.9590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.4912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.3866, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.5510, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.3335, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.0504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.6617, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.6176, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.3149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.1582, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.2822, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.0937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.6651, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.4772, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.511049723756906, 'recall': 0.5572289156626506, 'f1': 0.5331412103746398, 'number': 332}, 'P': {'precision': 0.6634980988593155, 'recall': 0.7331932773109243, 'f1': 0.6966067864271457, 'number': 476}, 'overall_precision': 0.6013513513513513, 'overall_recall': 0.6608910891089109, 'overall_f1': 0.6297169811320755, 'overall_accuracy': 0.7775054750234643}
			------------EPOCH 20---------------
Loss: tensor(38.1594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.8373, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.4104, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.6703, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.7548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.2732, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.6847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.7826, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.4706, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.1335, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.6829, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.8007, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.8765, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.7072, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.5801, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.8358, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.8379, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.0321, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.9210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.3071, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.8041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.6248, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.3937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.3213, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.2939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.6568, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.0258, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.2568, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.6025, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.1578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.2290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.5103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.9199, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.1735, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2197, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.9525, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.7049, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.6424, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.3853, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.4082, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2340, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.8231, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.5115, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5040650406504065, 'recall': 0.5602409638554217, 'f1': 0.5306704707560627, 'number': 332}, 'P': {'precision': 0.634469696969697, 'recall': 0.7037815126050421, 'f1': 0.6673306772908368, 'number': 476}, 'overall_precision': 0.5808249721293199, 'overall_recall': 0.6448019801980198, 'overall_f1': 0.6111436950146627, 'overall_accuracy': 0.780999061424549}
			------------EPOCH 21---------------
Loss: tensor(33.9051, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.4727, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.9482, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.5713, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.0198, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5121, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.5601, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.8388, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.8120, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.1447, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.5181, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.8715, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.0451, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.5158, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.3658, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5384, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.4437, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.5219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.5866, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.4508, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9597, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.3190, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.9756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.4378, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.6782, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.3985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.9774, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.7648, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.8839, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.8880, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.0487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.8492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.6283, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.6476, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.9483, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3850, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1491, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.1359, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.2207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.8675, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.9716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.0340, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.9445, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.8618, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5, 'recall': 0.5662650602409639, 'f1': 0.5310734463276837, 'number': 332}, 'P': {'precision': 0.653179190751445, 'recall': 0.7121848739495799, 'f1': 0.6814070351758793, 'number': 476}, 'overall_precision': 0.5888268156424581, 'overall_recall': 0.6522277227722773, 'overall_f1': 0.6189078097475045, 'overall_accuracy': 0.7787047658775681}
			------------EPOCH 22---------------
Loss: tensor(22.9638, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.3729, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.7437, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.6700, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.4947, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.2161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.7814, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.3523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.5667, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3286, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.8691, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5563, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.2728, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.5382, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.2076, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.0632, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.7919, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.4685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.2951, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.8477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.3957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.9528, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.7086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.7809, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.4070, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.9594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.9892, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.9657, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.3514, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8479, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.8599, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.2838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.1101, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.1320, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.3447, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8096, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3677, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.8099, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.2676, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.0888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.3899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.3301, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.9931, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.0421, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.1105, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5013333333333333, 'recall': 0.5662650602409639, 'f1': 0.5318246110325318, 'number': 332}, 'P': {'precision': 0.6525911708253359, 'recall': 0.7142857142857143, 'f1': 0.6820461384152458, 'number': 476}, 'overall_precision': 0.5892857142857143, 'overall_recall': 0.6534653465346535, 'overall_f1': 0.6197183098591549, 'overall_accuracy': 0.780738346021483}
			------------EPOCH 23---------------
Loss: tensor(14.1087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.3942, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.6138, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.6128, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.2812, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.4875, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.9882, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.4840, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.1943, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.3780, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8988, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.3079, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.8766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.3626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.7946, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.9534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.8371, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.0218, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.0018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8571, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.1350, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.1946, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.8158, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.1297, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.3868, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.3661, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3816, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.4183, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.8775, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.1061, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.7028, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.1064, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.9764, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.6567, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.0499, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.4592, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4494, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.9321, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.4444, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7822, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.3111, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.9887, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.3030, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.2569, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.3518, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.49604221635883905, 'recall': 0.5662650602409639, 'f1': 0.5288326300984529, 'number': 332}, 'P': {'precision': 0.651252408477842, 'recall': 0.7100840336134454, 'f1': 0.6793969849246232, 'number': 476}, 'overall_precision': 0.5857461024498887, 'overall_recall': 0.650990099009901, 'overall_f1': 0.6166471277842906, 'overall_accuracy': 0.7803212013765773}
			------------EPOCH 24---------------
Loss: tensor(10.3723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.8917, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.8731, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.7762, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.3556, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.9617, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.1847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.1574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.7158, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.6850, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.1401, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.6471, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.1498, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.8246, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.1367, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.1749, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.7781, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.4426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.4460, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2831, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.7334, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0261, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.2443, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.8362, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.5429, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.5542, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.4418, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.0201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.8491, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.2172, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5359, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.1048, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.9788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.5894, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.4616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.5071, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.9201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.2823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5898, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.1426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.0800, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4920, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.7761, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.8379, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.9525, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4832904884318766, 'recall': 0.5662650602409639, 'f1': 0.5214979195561721, 'number': 332}, 'P': {'precision': 0.6446601941747573, 'recall': 0.6974789915966386, 'f1': 0.6700302724520686, 'number': 476}, 'overall_precision': 0.5752212389380531, 'overall_recall': 0.6435643564356436, 'overall_f1': 0.6074766355140188, 'overall_accuracy': 0.7780269058295964}
			------------EPOCH 25---------------
Loss: tensor(7.1147, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5437, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.3465, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.0681, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.9990, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.5881, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.7173, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.2677, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.0116, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.2468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.9604, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3637, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.7492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4277, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.4894, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.7675, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.1087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.4574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.9764, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.9163, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0427, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.0777, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.9646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.8205, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.7605, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1921, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.7205, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.0656, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.7018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0606, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.1035, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.0791, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5699, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8584, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.8334, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.5533, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.7986, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2200, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.0035, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.2842, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.3653, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.3713, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.7589, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.1365, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4794871794871795, 'recall': 0.5632530120481928, 'f1': 0.518005540166205, 'number': 332}, 'P': {'precision': 0.646484375, 'recall': 0.6953781512605042, 'f1': 0.6700404858299595, 'number': 476}, 'overall_precision': 0.5742793791574279, 'overall_recall': 0.6410891089108911, 'overall_f1': 0.6058479532163743, 'overall_accuracy': 0.7771404734591719}
			------------EPOCH 26---------------
Loss: tensor(5.0917, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.3471, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.9609, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.2483, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.1046, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.3139, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.4167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.6252, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.2052, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.9082, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.6067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.2668, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.5523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2875, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3697, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.4659, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8863, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1288, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.0930, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.8819, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3773, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.9298, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.0221, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1238, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3329, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3003, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.4728, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.4880, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.3062, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.8957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6962, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2169, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.5245, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.3089, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.2366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.4159, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1230, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.2563, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.6356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.4821, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.0506, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.7515, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5971, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4857142857142857, 'recall': 0.5632530120481928, 'f1': 0.5216178521617852, 'number': 332}, 'P': {'precision': 0.6471734892787524, 'recall': 0.6974789915966386, 'f1': 0.6713852376137512, 'number': 476}, 'overall_precision': 0.5779510022271714, 'overall_recall': 0.6423267326732673, 'overall_f1': 0.608440797186401, 'overall_accuracy': 0.7794869120867661}
			------------EPOCH 27---------------
Loss: tensor(3.9228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2618, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.6462, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.8710, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.6069, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.0885, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.1865, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.1432, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.5965, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.6240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.6905, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2861, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.4669, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.3230, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5137, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.2123, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.2404, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2081, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.5383, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.2149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.8958, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.6459, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.0800, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.3410, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.5567, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.2727, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5853, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.2647, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0439, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.9766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.5042, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.7038, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.4008, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.3654, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.9515, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.8959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.9646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.0942, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2703, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.7371, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.0769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.7882, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.7843, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.7733, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.2029, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.480719794344473, 'recall': 0.5632530120481928, 'f1': 0.5187239944521499, 'number': 332}, 'P': {'precision': 0.64453125, 'recall': 0.6932773109243697, 'f1': 0.6680161943319838, 'number': 476}, 'overall_precision': 0.5738068812430632, 'overall_recall': 0.6398514851485149, 'overall_f1': 0.6050321825629023, 'overall_accuracy': 0.7784961935551152}
			------------EPOCH 28---------------
Loss: tensor(3.2189, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.2537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.3806, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.5512, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.3107, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.8967, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.9971, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.7828, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.9005, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.3757, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.0211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.3953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.4545, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.8375, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.9918, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.0375, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.4993, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.2501, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.9142, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.8733, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.0654, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3628, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.7074, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.0277, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6865, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.0006, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.0803, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6999, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.6971, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.6150, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.0257, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6265, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.4889, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.9626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.5720, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.7180, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.8232, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.6007, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.3343, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.5688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2238, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.5526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.7445, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.8298, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4793814432989691, 'recall': 0.5602409638554217, 'f1': 0.5166666666666667, 'number': 332}, 'P': {'precision': 0.6432748538011696, 'recall': 0.6932773109243697, 'f1': 0.6673407482305359, 'number': 476}, 'overall_precision': 0.5726970033296337, 'overall_recall': 0.6386138613861386, 'overall_f1': 0.6038619075482737, 'overall_accuracy': 0.7780790489102096}
			------------EPOCH 29---------------
Loss: tensor(2.7507, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.1551, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3124, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.7359, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.8395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.5088, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.3571, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.1648, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.5628, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.4539, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.0327, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.3000, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.8003, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.1060, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.9363, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.0631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.9193, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.2504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.5488, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.7374, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0879, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.4881, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.4711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.5161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.9201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.4205, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.4614, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.9685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.6279, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8802, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.7801, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4046, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.3163, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.5065, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.5942, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.0742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.0077, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.1817, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.7552, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.3609, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.6740, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3475, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4844559585492228, 'recall': 0.5632530120481928, 'f1': 0.520891364902507, 'number': 332}, 'P': {'precision': 0.6484375, 'recall': 0.6974789915966386, 'f1': 0.6720647773279352, 'number': 476}, 'overall_precision': 0.5779510022271714, 'overall_recall': 0.6423267326732673, 'overall_f1': 0.608440797186401, 'overall_accuracy': 0.7772969027010116}
			------------EPOCH 30---------------
Loss: tensor(2.4079, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.6536, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.9652, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.4908, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.4392, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.6029, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.7080, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.3044, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3037, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.9865, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.0524, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.8476, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.3961, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.6831, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.8597, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.6373, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.3272, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.9359, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1378, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.8229, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.0928, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.1838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.4822, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.9255, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.1166, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.7798, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1796, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.2637, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.4873, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.4780, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.1714, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.2163, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1986, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.1099, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.3293, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.4008, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.6437, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.7392, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9214, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3560, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.1960, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.7777, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.3306, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.48186528497409326, 'recall': 0.5602409638554217, 'f1': 0.5181058495821727, 'number': 332}, 'P': {'precision': 0.6471734892787524, 'recall': 0.6974789915966386, 'f1': 0.6713852376137512, 'number': 476}, 'overall_precision': 0.5761957730812013, 'overall_recall': 0.6410891089108911, 'overall_f1': 0.606912712360867, 'overall_accuracy': 0.7759933256856815}
Tokenizer: arg_mining/4epoch_complete/tokenizer Model: arg_mining/4epoch_complete/model/
	Train size: 50 Test size: 50


		-------------RUN 1-----------
			------------EPOCH 1---------------
Loss: tensor(2159.2754, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2383.4375, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2542.6909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5245.8291, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1955.4631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3713.1831, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2544.5610, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2354.8081, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1898.7822, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1660.8344, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2976.3760, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2383.8467, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3023.3279, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3232.3467, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2549.8252, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2648.6914, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1212.6497, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2919.7271, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6148.1094, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3452.1240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5847.5146, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3149.6528, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2231.7595, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2849.5735, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2105.1431, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2383.1460, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1960.4031, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2345.2942, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.0210727969348659, 'recall': 0.014120667522464698, 'f1': 0.016910069177555727, 'number': 779}, 'P': {'precision': 0.09262295081967213, 'recall': 0.11232604373757456, 'f1': 0.10152740341419587, 'number': 1006}, 'overall_precision': 0.0711825487944891, 'overall_recall': 0.06946778711484594, 'overall_f1': 0.07031471505528777, 'overall_accuracy': 0.5338562476342684}
			------------EPOCH 2---------------
Loss: tensor(1713.9059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1887.8528, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1877.3052, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4049.1519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1483.5437, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2772.2019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1917.8424, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1966.4094, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1544.5513, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1353.1592, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2431.6167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1930.7849, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2537.9570, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2622.8115, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2029.3893, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2090.3403, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1020.9684, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2459.5078, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5182.8203, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2896.9609, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4874.6289, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2757.1797, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1975.2048, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2464.1833, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1891.4489, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1882.2654, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1608.1653, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1893.1821, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.09351432880844646, 'recall': 0.07958921694480103, 'f1': 0.08599167822468794, 'number': 779}, 'P': {'precision': 0.23269391159299416, 'recall': 0.2773359840954274, 'f1': 0.2530612244897959, 'number': 1006}, 'overall_precision': 0.18313641245972073, 'overall_recall': 0.19103641456582632, 'overall_f1': 0.18700301617768028, 'overall_accuracy': 0.594250746519746}
			------------EPOCH 3---------------
Loss: tensor(1394.8676, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1622.2732, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1482.6729, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3412.8777, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1284.5188, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2398.0532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1511.8737, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1640.4828, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1340.0259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1099.2084, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2054.9404, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1785.6672, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2243.5127, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2377.4519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1640.3711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1806.5074, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(832.8730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1992.2454, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4351.1445, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2678.4102, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3735.2478, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2356.4595, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1600.8296, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1910.8782, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1833.6991, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1351.6411, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1247.2206, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1562.0287, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.10569105691056911, 'recall': 0.05006418485237484, 'f1': 0.06794425087108015, 'number': 779}, 'P': {'precision': 0.2895480225988701, 'recall': 0.40755467196819084, 'f1': 0.33856317093311317, 'number': 1006}, 'overall_precision': 0.2515406162464986, 'overall_recall': 0.2515406162464986, 'overall_f1': 0.2515406162464986, 'overall_accuracy': 0.5890145939353156}
			------------EPOCH 4---------------
Loss: tensor(1219.9265, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1487.0742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1382.5352, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2994.2483, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1232.6423, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1960.7047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1284.0684, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1408.1313, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1124.2736, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(979.4575, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1817.9817, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1521.7063, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1984.8103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1959.8505, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1305.8491, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1546.3157, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(741.8367, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1694.7079, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3618.9583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2381.2466, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3140.8149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1978.0464, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1355.2095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1699.6914, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1477.3959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1131.8280, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1010.2166, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1281.5889, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.06814580031695722, 'recall': 0.055198973042362, 'f1': 0.060992907801418444, 'number': 779}, 'P': {'precision': 0.22838847385272146, 'recall': 0.21272365805168986, 'f1': 0.22027792074112196, 'number': 1006}, 'overall_precision': 0.1639030612244898, 'overall_recall': 0.14397759103641455, 'overall_f1': 0.15329555621831198, 'overall_accuracy': 0.5117971148588972}
			------------EPOCH 5---------------
Loss: tensor(1129.5601, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1506.5823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1231.5437, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2775.4785, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1197.6968, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1614.3129, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1108.4448, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1272.5845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1047.1675, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(948.1252, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1722.6111, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1439.9387, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1826.2080, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1593.3584, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1154.1420, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1282.3478, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(698.0453, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1380.8726, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3292.6365, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1989.6000, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2707.6494, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1736.2438, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1145.9866, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1567.3607, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1320.6858, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(931.3547, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(882.0763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1207.2957, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.19337349397590362, 'recall': 0.4120667522464698, 'f1': 0.26322263222632225, 'number': 779}, 'P': {'precision': 0.41561181434599154, 'recall': 0.19582504970178927, 'f1': 0.2662162162162162, 'number': 1006}, 'overall_precision': 0.24273664479850046, 'overall_recall': 0.2901960784313726, 'overall_f1': 0.26435315131411075, 'overall_accuracy': 0.5434032888926273}
			------------EPOCH 6---------------
Loss: tensor(1157.8582, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1254.6112, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1029.1946, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2786.5244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1053.1349, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1622.6676, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1045.6633, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1289.5471, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(854.1587, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(812.2573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1382.3533, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1257.5530, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1827.5708, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1667.0114, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1222.6234, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1465.1572, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(567.8782, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(951.3676, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2891.4458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1773.2562, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2105.6123, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1633.8676, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1135.8044, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1491.2272, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1343.6122, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(785.1821, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1343.1677, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1650.3333, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.20746268656716418, 'recall': 0.17843388960205392, 'f1': 0.19185645272601792, 'number': 779}, 'P': {'precision': 0.3614806246385194, 'recall': 0.621272365805169, 'f1': 0.4570383912248629, 'number': 1006}, 'overall_precision': 0.31846602751146313, 'overall_recall': 0.4280112044817927, 'overall_f1': 0.36520076481835567, 'overall_accuracy': 0.6306094124574169}
			------------EPOCH 7---------------
Loss: tensor(955.4124, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1190.6775, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1208.1790, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2671.3157, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1046.2803, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1953.0090, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1166.1201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1113.3608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(942.2194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(768.0936, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1360.0386, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1184.2236, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1495.3164, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1567.8596, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1150.4263, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1424.0452, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(597.8509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1246.4034, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3461.4131, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1973.5743, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2778.0317, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1686.0994, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1287.1948, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1492.2910, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1206.8331, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1066.2219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(802.6057, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1045.9666, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.21312872975277067, 'recall': 0.3209242618741977, 'f1': 0.25614754098360654, 'number': 779}, 'P': {'precision': 0.4849246231155779, 'recall': 0.5755467196819085, 'f1': 0.5263636363636364, 'number': 1006}, 'overall_precision': 0.35023236163920574, 'overall_recall': 0.46442577030812326, 'overall_f1': 0.39932562620423895, 'overall_accuracy': 0.6576733818395929}
			------------EPOCH 8---------------
Loss: tensor(721.0410, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(989.8770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(832.1189, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2006.1624, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(822.2750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1027.0605, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(705.7993, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(922.4532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(683.9119, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(668.4184, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1172.0836, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(970.5154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1322.9255, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1111.9435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(852.2203, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(947.0801, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(368.6469, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(674.8976, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2233.0444, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1334.6152, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1776.3276, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1113.3125, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(813.5112, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(983.1558, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(890.0780, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(519.2036, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(613.4993, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(840.0740, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.29906542056074764, 'recall': 0.3286264441591784, 'f1': 0.31314984709480115, 'number': 779}, 'P': {'precision': 0.3305534495830174, 'recall': 0.43339960238568587, 'f1': 0.3750537634408602, 'number': 1006}, 'overall_precision': 0.3181609195402299, 'overall_recall': 0.3876750700280112, 'overall_f1': 0.3494949494949495, 'overall_accuracy': 0.6516381376960929}
			------------EPOCH 9---------------
Loss: tensor(630.9819, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(878.6075, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(755.9248, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1994.3831, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(739.2316, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(946.7064, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(608.2944, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(800.6744, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(647.5257, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(511.6440, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1088.2194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(941.5217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1047.2914, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1049.0464, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(777.2824, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(951.3199, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(403.2458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(537.4775, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1820.7852, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1025.8335, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1289.8727, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(930.8661, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(695.6600, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(863.7157, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(966.5134, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(475.7776, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(540.5145, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(828.5444, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.29191321499013806, 'recall': 0.18998716302952504, 'f1': 0.23017107309486778, 'number': 779}, 'P': {'precision': 0.46188630490956073, 'recall': 0.7107355864811133, 'f1': 0.5599060297572435, 'number': 1006}, 'overall_precision': 0.41995133819951336, 'overall_recall': 0.4834733893557423, 'overall_f1': 0.4494791666666667, 'overall_accuracy': 0.6701854733566052}
			------------EPOCH 10---------------
Loss: tensor(588.4533, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(747.4590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(638.9030, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1505.4027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(587.0711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(667.6863, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(501.0988, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(559.5335, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(431.6670, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(410.2720, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(865.2205, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(684.1509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(908.7813, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(698.7852, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(557.7214, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(615.4561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(282.5911, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(390.3338, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1388.1978, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(762.7531, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1185.5018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(765.2411, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(586.5825, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(743.7897, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(704.1608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(437.3864, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(449.7558, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(622.4579, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.32432432432432434, 'recall': 0.5083440308087291, 'f1': 0.396, 'number': 779}, 'P': {'precision': 0.5616591928251121, 'recall': 0.49801192842942343, 'f1': 0.5279241306638567, 'number': 1006}, 'overall_precision': 0.4245149077141505, 'overall_recall': 0.5025210084033613, 'overall_f1': 0.46023601847101075, 'overall_accuracy': 0.6612062076796904}
			------------EPOCH 11---------------
Loss: tensor(356.8548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(528.3127, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(392.5484, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1046.2294, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(330.4962, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(475.6555, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(340.7504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(435.0107, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(304.9033, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(303.0276, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(604.2633, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(499.9831, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(815.8986, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(507.7676, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(445.1874, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(493.3812, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(257.1791, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(335.3477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1350.0114, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(720.4526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(677.6049, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(524.8973, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(401.3883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(608.6059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(394.8734, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(209.0305, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(173.0614, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(343.4407, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.29283667621776505, 'recall': 0.6559691912708601, 'f1': 0.4049128367670365, 'number': 779}, 'P': {'precision': 0.5682382133995038, 'recall': 0.2276341948310139, 'f1': 0.32505322924059615, 'number': 1006}, 'overall_precision': 0.34450651769087526, 'overall_recall': 0.41456582633053224, 'overall_f1': 0.3763030765319095, 'overall_accuracy': 0.5667662026327964}
			------------EPOCH 12---------------
Loss: tensor(376.4787, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(634.6561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(437.6615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1074.1888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(405.8755, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(520.5815, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(463.9865, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(608.5571, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(268.7021, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(288.4245, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(540.7347, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(497.0553, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(430.5196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(303.4161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(240.3773, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(324.0596, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(158.4750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(187.2496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(757.5078, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(487.0713, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(613.7479, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(549.6514, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(419.6409, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(748.5885, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(544.0505, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(284.6633, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(355.6766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(569.5201, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.35020519835841313, 'recall': 0.3286264441591784, 'f1': 0.3390728476821192, 'number': 779}, 'P': {'precision': 0.514161220043573, 'recall': 0.7037773359840954, 'f1': 0.5942089802769618, 'number': 1006}, 'overall_precision': 0.4573055028462998, 'overall_recall': 0.5400560224089636, 'overall_f1': 0.49524788081171334, 'overall_accuracy': 0.6889641249947428}
			------------EPOCH 13---------------
Loss: tensor(281.2841, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(345.8571, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(370.7631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(793.4556, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(183.2694, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(257.5477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(213.4544, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(244.5035, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(176.5214, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(184.0711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(317.3415, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(290.9219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(421.6956, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(320.6542, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(243.8617, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(331.1903, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(202.5892, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(237.5907, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1498.0950, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(468.0255, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(466.8575, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(431.4909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(276.1266, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(364.5622, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(267.5319, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(125.0564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(97.2294, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(238.7253, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3389391979301423, 'recall': 0.3363286264441592, 'f1': 0.3376288659793814, 'number': 779}, 'P': {'precision': 0.48548812664907653, 'recall': 0.731610337972167, 'f1': 0.5836637589214909, 'number': 1006}, 'overall_precision': 0.43599825251201396, 'overall_recall': 0.5591036414565826, 'overall_f1': 0.4899361806578301, 'overall_accuracy': 0.6737393279219414}
			------------EPOCH 14---------------
Loss: tensor(312.6987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(312.6376, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(319.4119, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(739.3700, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(384.8356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(478.1859, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(312.3322, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(277.8851, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(287.7002, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(210.2909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(400.6773, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(435.1320, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(486.7402, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(311.7994, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(214.9763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(346.0436, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.7099, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(156.9100, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(575.9644, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(363.9055, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(307.3713, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(253.6862, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(198.8709, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(320.2487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(263.3018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(167.3592, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(117.6994, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(213.2532, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.2968253968253968, 'recall': 0.48010269576379977, 'f1': 0.36684649337910746, 'number': 779}, 'P': {'precision': 0.4666666666666667, 'recall': 0.34791252485089463, 'f1': 0.39863325740318906, 'number': 1006}, 'overall_precision': 0.36019900497512436, 'overall_recall': 0.40560224089635855, 'overall_f1': 0.3815546772068511, 'overall_accuracy': 0.632670227530807}
			------------EPOCH 15---------------
Loss: tensor(279.9521, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(338.9426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(229.6871, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(596.1116, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(239.9963, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(188.7287, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(191.5526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(292.5370, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.0141, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(204.5453, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(269.0563, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(292.7969, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(186.2061, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(201.6482, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(145.8028, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(165.8837, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.6405, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(91.3965, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(277.1451, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(199.9149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(200.6759, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(149.3626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(124.4317, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(202.0179, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.7831, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.0169, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.0969, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(125.7987, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.38813349814585907, 'recall': 0.4030808729139923, 'f1': 0.3954659949622166, 'number': 779}, 'P': {'precision': 0.5047759000734754, 'recall': 0.6829025844930418, 'f1': 0.5804816223067174, 'number': 1006}, 'overall_precision': 0.4612903225806452, 'overall_recall': 0.5607843137254902, 'overall_f1': 0.5061946902654867, 'overall_accuracy': 0.6950414265887201}
			------------EPOCH 16---------------
Loss: tensor(188.3670, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(126.5961, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.1822, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(221.4383, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(108.3186, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(128.4456, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.7624, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(115.9471, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(119.5832, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.6516, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(230.8796, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.4782, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(232.2237, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(158.9579, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(120.0927, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(164.3627, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.0381, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(121.0162, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(267.2132, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(220.4703, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.1577, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.1086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(98.6732, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.8241, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(125.3347, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.3199, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.8703, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(90.5361, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3533834586466165, 'recall': 0.5430038510911425, 'f1': 0.42813765182186225, 'number': 779}, 'P': {'precision': 0.5475708502024291, 'recall': 0.5377733598409543, 'f1': 0.5426278836509529, 'number': 1006}, 'overall_precision': 0.4411899313501144, 'overall_recall': 0.5400560224089636, 'overall_f1': 0.48564231738035263, 'overall_accuracy': 0.6883753206880598}
			------------EPOCH 17---------------
Loss: tensor(133.9207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(92.4211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.9151, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(152.9645, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(97.1034, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.5638, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.8695, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.7749, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.8510, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.6784, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(127.7619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(147.4360, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(99.2624, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(90.7836, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.7144, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.7890, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.4450, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.1017, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(170.0549, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(137.5441, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(224.8696, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(137.1791, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(99.1926, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(145.3746, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.5231, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.3300, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.9092, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.8063, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.35370741482965934, 'recall': 0.45314505776636715, 'f1': 0.39729881823297697, 'number': 779}, 'P': {'precision': 0.5349682107175295, 'recall': 0.5854870775347912, 'f1': 0.5590887517797817, 'number': 1006}, 'overall_precision': 0.44878513577894236, 'overall_recall': 0.5277310924369748, 'overall_f1': 0.4850669412976313, 'overall_accuracy': 0.6907725953652689}
			------------EPOCH 18---------------
Loss: tensor(111.4296, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.8671, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.0403, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(110.1026, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.5635, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.4711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.9879, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.9360, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.6457, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.1836, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.2696, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.6960, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.3585, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.3059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.9188, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.9061, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.6900, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.0579, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(127.5966, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.1094, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.3803, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.8067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.5895, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.4304, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.8340, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.3078, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.1661, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.5301, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.37913223140495866, 'recall': 0.4711168164313222, 'f1': 0.42014882655981683, 'number': 779}, 'P': {'precision': 0.5130718954248366, 'recall': 0.6242544731610338, 'f1': 0.5632286995515694, 'number': 1006}, 'overall_precision': 0.4539233576642336, 'overall_recall': 0.5574229691876751, 'overall_f1': 0.5003771687201408, 'overall_accuracy': 0.6943685073810826}
			------------EPOCH 19---------------
Loss: tensor(95.6812, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.2094, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.1048, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(107.5442, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.5651, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.9578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.1970, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.4111, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.1917, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.3254, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(77.6194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(77.3268, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.5557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.6792, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.6000, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.3923, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4715, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.4095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(117.7091, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.4788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.7361, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.9276, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.1515, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.0257, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.5962, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.8701, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.7481, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.0874, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3614678899082569, 'recall': 0.5057766367137355, 'f1': 0.42161583734617447, 'number': 779}, 'P': {'precision': 0.5441441441441441, 'recall': 0.6003976143141153, 'f1': 0.5708884688090736, 'number': 1006}, 'overall_precision': 0.4536363636363636, 'overall_recall': 0.5591036414565826, 'overall_f1': 0.5008782936010037, 'overall_accuracy': 0.6916978592757707}
			------------EPOCH 20---------------
Loss: tensor(75.0819, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.3433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.9549, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.4693, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.4278, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.8838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.1035, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.5885, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.7708, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.5258, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.7221, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.8217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.2695, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.2143, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.2658, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.3660, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.4845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.0429, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.2252, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.5152, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.6103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.3940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.0129, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.0754, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.7727, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.8009, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.4154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.6923, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.35454545454545455, 'recall': 0.5006418485237484, 'f1': 0.4151144225651942, 'number': 779}, 'P': {'precision': 0.5513059701492538, 'recall': 0.5874751491053678, 'f1': 0.5688161693936478, 'number': 1006}, 'overall_precision': 0.4516574585635359, 'overall_recall': 0.5495798319327732, 'overall_f1': 0.49583017437452626, 'overall_accuracy': 0.6916978592757707}
			------------EPOCH 21---------------
Loss: tensor(65.0879, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.2353, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.2191, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.7348, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.2421, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.8736, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.7844, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.7283, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.0038, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.6111, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.6012, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.6433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.4606, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.2290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.7939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.1548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.4724, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.3466, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(113.9987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.3902, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(77.0059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.1249, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.3401, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.8395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.4435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.7525, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.1200, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.1141, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.36338289962825276, 'recall': 0.5019255455712451, 'f1': 0.42156334231805925, 'number': 779}, 'P': {'precision': 0.5338276181649676, 'recall': 0.5725646123260437, 'f1': 0.5525179856115109, 'number': 1006}, 'overall_precision': 0.4487238979118329, 'overall_recall': 0.5417366946778711, 'overall_f1': 0.49086294416243653, 'overall_accuracy': 0.6907936240905076}
			------------EPOCH 22---------------
Loss: tensor(53.6598, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.4752, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.5523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.7828, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.7287, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.8918, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.7527, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.9971, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.3382, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.9392, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.5385, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.3645, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.2473, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.3646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.5422, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.1900, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4495, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.7668, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(110.6268, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.7689, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.7140, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.1986, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.2888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.7167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.9415, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.5200, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.1858, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.4259, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3654390934844193, 'recall': 0.496790757381258, 'f1': 0.4211099020674647, 'number': 779}, 'P': {'precision': 0.5307621671258035, 'recall': 0.5745526838966203, 'f1': 0.5517899761336515, 'number': 1006}, 'overall_precision': 0.44925512104283055, 'overall_recall': 0.5406162464985994, 'overall_f1': 0.49071955250444954, 'overall_accuracy': 0.690246877234302}
			------------EPOCH 23---------------
Loss: tensor(44.9227, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.6086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.4090, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.4498, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.7290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.6262, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.1208, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.3993, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.8674, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.0158, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.9506, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.5403, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.5435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.8872, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.5161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.1023, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.9459, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.9393, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.3703, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.7483, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.4542, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.1038, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.1385, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.6484, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.9992, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.0628, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.1962, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3659217877094972, 'recall': 0.5044929396662388, 'f1': 0.42417701025364274, 'number': 779}, 'P': {'precision': 0.5467289719626168, 'recall': 0.5815109343936382, 'f1': 0.5635838150289016, 'number': 1006}, 'overall_precision': 0.45615671641791045, 'overall_recall': 0.5478991596638656, 'overall_f1': 0.4978365996436752, 'overall_accuracy': 0.6896791016528578}
			------------EPOCH 24---------------
Loss: tensor(36.5913, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.6630, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.5292, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.7855, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.7784, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.2726, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.4489, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.8984, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.1537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.0940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.5457, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.1477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8965, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.6990, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.0006, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.9877, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.2567, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.0207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.2715, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.6017, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.3810, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.4252, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.6139, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.4244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.7807, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.0090, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3624887285843102, 'recall': 0.5160462130937099, 'f1': 0.4258474576271186, 'number': 779}, 'P': {'precision': 0.5491881566380133, 'recall': 0.5715705765407555, 'f1': 0.5601558694593278, 'number': 1006}, 'overall_precision': 0.45315398886827457, 'overall_recall': 0.5473389355742297, 'overall_f1': 0.49581324536919563, 'overall_accuracy': 0.690961853892417}
			------------EPOCH 25---------------
Loss: tensor(28.0358, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.9010, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.7474, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.2796, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.6520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.3838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.4884, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.9768, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.7903, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.6553, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.5424, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.2552, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.7214, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.3548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.8474, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.3959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.2988, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.6638, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.7017, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.6523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.6549, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.0501, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.5647, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.2326, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.3780, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.1761, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.3736, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.4476, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3585409252669039, 'recall': 0.5173299101412067, 'f1': 0.42354177614293215, 'number': 779}, 'P': {'precision': 0.5488505747126436, 'recall': 0.5695825049701789, 'f1': 0.5590243902439024, 'number': 1006}, 'overall_precision': 0.45018450184501846, 'overall_recall': 0.5467787114845938, 'overall_f1': 0.49380217556286365, 'overall_accuracy': 0.6906464230138369}
			------------EPOCH 26---------------
Loss: tensor(19.5946, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9533, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.2272, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.7943, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.1016, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.3589, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.8751, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.8111, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.7245, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.9240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.6793, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.5612, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.5216, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.3902, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.7638, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.2679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.7373, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.7430, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(76.6784, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.3196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.7463, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.3391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.1926, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.9316, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2579, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.0561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.6249, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.0253, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3617594254937163, 'recall': 0.5173299101412067, 'f1': 0.4257791864764923, 'number': 779}, 'P': {'precision': 0.5490009514747859, 'recall': 0.5735586481113321, 'f1': 0.561011181332037, 'number': 1006}, 'overall_precision': 0.45265588914549654, 'overall_recall': 0.5490196078431373, 'overall_f1': 0.4962025316455696, 'overall_accuracy': 0.691613744374816}
			------------EPOCH 27---------------
Loss: tensor(15.8271, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.6663, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.6824, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.5671, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.3964, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.6641, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.5527, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.2584, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9611, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3801, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.0092, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.5977, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.2718, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9206, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.5485, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.4198, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.2943, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.8905, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.5876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.4551, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.6936, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.2107, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.1729, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.9755, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.3432, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.1735, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9280, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.3286, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3646112600536193, 'recall': 0.5237483953786907, 'f1': 0.42992623814541625, 'number': 779}, 'P': {'precision': 0.5501432664756447, 'recall': 0.5725646123260437, 'f1': 0.5611300535801266, 'number': 1006}, 'overall_precision': 0.45429362880886426, 'overall_recall': 0.5512605042016807, 'overall_f1': 0.4981017463933182, 'overall_accuracy': 0.6920343188795895}
			------------EPOCH 28---------------
Loss: tensor(13.2504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.6251, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.7203, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.7996, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.1730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.1418, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.3978, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.4068, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.8069, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.7249, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.2133, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.7138, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.9325, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6392, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.5047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.9234, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.0757, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.1156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.4241, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.2041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.3052, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.3353, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.5330, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.3802, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.5755, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.7174, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.3738, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.36607142857142855, 'recall': 0.5263157894736842, 'f1': 0.4318062137967351, 'number': 779}, 'P': {'precision': 0.5473684210526316, 'recall': 0.5685884691848907, 'f1': 0.5577766942954656, 'number': 1006}, 'overall_precision': 0.4535796766743649, 'overall_recall': 0.550140056022409, 'overall_f1': 0.49721518987341773, 'overall_accuracy': 0.6913613996719519}
			------------EPOCH 29---------------
Loss: tensor(12.1365, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.8349, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.6131, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.5249, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.6876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.9941, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.8940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5572, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.9648, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.7891, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.3141, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2874, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.9641, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.2838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.9654, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.1012, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.7027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.8425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.7297, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3297, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.6529, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.3870, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5670, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.9564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6397, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.7535, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2538, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.5267, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.37093862815884476, 'recall': 0.527599486521181, 'f1': 0.43561208267090623, 'number': 779}, 'P': {'precision': 0.5485714285714286, 'recall': 0.5725646123260437, 'f1': 0.5603112840466925, 'number': 1006}, 'overall_precision': 0.45736793327154773, 'overall_recall': 0.5529411764705883, 'overall_f1': 0.500634034998732, 'overall_accuracy': 0.6910039113428944}
			------------EPOCH 30---------------
Loss: tensor(11.3696, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.4937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.7109, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.3105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.9725, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.7669, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.8835, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.4864, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.4530, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4208, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.3528, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.6206, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2591, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.7945, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.4574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.3256, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.2339, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5700, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.6027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.7487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.0102, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.3649, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.1453, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.1766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.6639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.8843, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.36993699369936994, 'recall': 0.527599486521181, 'f1': 0.43492063492063493, 'number': 779}, 'P': {'precision': 0.5475285171102662, 'recall': 0.5725646123260437, 'f1': 0.5597667638483965, 'number': 1006}, 'overall_precision': 0.4563106796116505, 'overall_recall': 0.5529411764705883, 'overall_f1': 0.5, 'overall_accuracy': 0.6904781932119275}


		-------------RUN 2-----------
			------------EPOCH 1---------------
Loss: tensor(3673.5374, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3944.8179, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6984.6870, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3010.8374, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7557.0898, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4802.8418, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2337.1003, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2406.9041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1535.5894, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5318.5269, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1717.4454, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2261.7864, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2004.5408, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2341.7632, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2039.0771, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2752.1128, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1475.3225, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3449.3428, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2537.3701, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3069.5391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1579.1906, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1706.6143, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2011.3038, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2147.2734, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3220.3374, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3291.4290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2832.5884, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2162.6626, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 809}, 'P': {'precision': 0.07685589519650655, 'recall': 0.10138248847926268, 'f1': 0.08743169398907105, 'number': 868}, 'overall_precision': 0.07678883071553229, 'overall_recall': 0.05247465712581992, 'overall_f1': 0.06234502302515055, 'overall_accuracy': 0.4888670193135687}
			------------EPOCH 2---------------
Loss: tensor(2409.8210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2705.0146, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4966.8877, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2100.9480, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5568.6055, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3336.1641, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1934.4595, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1889.7159, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1278.8506, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3992.0869, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1429.5758, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1914.2876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1646.3997, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1931.3523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1714.1854, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2330.3501, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1205.8738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2908.6287, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1995.2861, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2372.5537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1610.8639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1742.9968, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1989.2992, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1884.5698, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2664.7612, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2961.2969, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2527.9631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1972.4734, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 809}, 'P': {'precision': 0.25, 'recall': 0.4009216589861751, 'f1': 0.30796460176991153, 'number': 868}, 'overall_precision': 0.25, 'overall_recall': 0.2075134168157424, 'overall_f1': 0.22678396871945258, 'overall_accuracy': 0.5175544347398204}
			------------EPOCH 3---------------
Loss: tensor(2106.2007, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2355.9106, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4327.7065, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2007.9030, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4906.7783, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2899.4722, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1566.3953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1709.9902, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1139.6489, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3584.1868, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1241.0121, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1733.8126, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1454.5350, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1699.0392, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1494.3188, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2060.7773, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1041.9309, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2636.9714, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1754.2358, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2093.9456, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1293.0469, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1362.8669, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1607.0953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1767.5166, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2449.0762, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2587.2490, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2263.8247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1813.4957, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.08695652173913043, 'recall': 0.007416563658838072, 'f1': 0.01366742596810934, 'number': 809}, 'P': {'precision': 0.27211394302848574, 'recall': 0.4182027649769585, 'f1': 0.329700272479564, 'number': 868}, 'overall_precision': 0.26300784034212404, 'overall_recall': 0.22003577817531306, 'overall_f1': 0.2396103896103896, 'overall_accuracy': 0.5477918563168901}
			------------EPOCH 4---------------
Loss: tensor(1805.0892, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1910.7028, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3725.3462, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1793.9768, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4301.7476, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2475.5688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1268.2928, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1563.1628, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1006.4564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3214.8926, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1080.9688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1566.7036, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1252.1841, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1441.0568, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1257.2976, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1863.9460, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(836.1906, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2199.2151, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1525.5554, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1875.2578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1010.7938, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1052.4070, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1249.4915, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1459.4105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2017.3748, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2259.0161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1949.9108, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1587.6863, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.16558441558441558, 'recall': 0.1260815822002472, 'f1': 0.1431578947368421, 'number': 809}, 'P': {'precision': 0.2591687041564792, 'recall': 0.24423963133640553, 'f1': 0.2514827995255042, 'number': 868}, 'overall_precision': 0.21896792189679218, 'overall_recall': 0.1872391174716756, 'overall_f1': 0.20186435229829633, 'overall_accuracy': 0.5791364251445442}
			------------EPOCH 5---------------
Loss: tensor(1673.4536, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1726.9961, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3776.5093, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1654.2235, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3981.7439, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2186.8267, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1069.2849, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1405.8315, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(892.7385, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2845.8525, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(952.2047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1407.5811, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1141.8497, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1224.8242, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1128.7848, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1801.0211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(719.6130, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2067.6506, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1628.0425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2116.9780, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(976.8390, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(958.9685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1258.4224, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1222.5400, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1668.3055, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2209.5156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1825.2954, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1541.1195, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.23994452149791956, 'recall': 0.2138442521631644, 'f1': 0.2261437908496732, 'number': 809}, 'P': {'precision': 0.3372727272727273, 'recall': 0.4274193548387097, 'f1': 0.3770325203252033, 'number': 868}, 'overall_precision': 0.29873695771554093, 'overall_recall': 0.32438878950506855, 'overall_f1': 0.31103487707261285, 'overall_accuracy': 0.6478287612252429}
			------------EPOCH 6---------------
Loss: tensor(1380.3088, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1401.5741, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3047.4292, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1338.5308, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3773.5327, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2016.1699, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1076.8013, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1285.0593, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(840.9899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2450.9683, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(914.8562, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1295.5396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(971.1537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1212.5281, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1021.5906, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1430.3450, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(590.9019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1755.3695, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1198.8748, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1481.3884, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(606.1052, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(619.9539, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(799.4421, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1052.1974, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1390.4863, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1919.2644, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1540.9805, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1244.1926, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.2992565055762082, 'recall': 0.19901112484548825, 'f1': 0.23904974016332592, 'number': 809}, 'P': {'precision': 0.3321273516642547, 'recall': 0.5288018433179723, 'f1': 0.408, 'number': 868}, 'overall_precision': 0.3229166666666667, 'overall_recall': 0.3697078115682767, 'overall_f1': 0.3447317208785099, 'overall_accuracy': 0.6373477672530447}
			------------EPOCH 7---------------
Loss: tensor(1193.3416, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1183.2847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2880.5171, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1328.7491, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3065.5874, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1530.0187, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(746.6210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1088.5233, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(722.2712, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2041.5238, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(786.5530, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1141.2847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(812.3406, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1059.9744, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(910.5698, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1327.7163, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(531.8959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1549.4434, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1133.2185, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1507.2897, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(447.1271, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(481.6567, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(600.1921, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(934.0306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1211.7964, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1521.3755, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1336.3792, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(996.1132, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.38519924098671726, 'recall': 0.25092707045735474, 'f1': 0.30389221556886226, 'number': 809}, 'P': {'precision': 0.3761869978086194, 'recall': 0.5933179723502304, 'f1': 0.4604380867232901, 'number': 868}, 'overall_precision': 0.37869198312236285, 'overall_recall': 0.42814549791293977, 'overall_f1': 0.40190316260845227, 'overall_accuracy': 0.6645343830729487}
			------------EPOCH 8---------------
Loss: tensor(931.8713, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(784.3105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2438.3987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(941.6306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2648.5078, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1233.4766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(627.9286, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(927.0001, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(654.9607, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1817.3123, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(681.3351, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1019.7515, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(643.6603, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(767.9242, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(771.7065, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1247.1200, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(383.9746, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1339.1560, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1014.2241, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1263.4746, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(355.2984, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(378.9469, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(416.1057, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(825.2526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1108.9875, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1254.8953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1174.4833, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(876.9771, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.39372822299651566, 'recall': 0.13967861557478367, 'f1': 0.2062043795620438, 'number': 809}, 'P': {'precision': 0.39436619718309857, 'recall': 0.6129032258064516, 'f1': 0.4799278304014433, 'number': 868}, 'overall_precision': 0.39425427872860636, 'overall_recall': 0.38461538461538464, 'overall_f1': 0.3893751886507697, 'overall_accuracy': 0.6460081190798376}
			------------EPOCH 9---------------
Loss: tensor(733.4589, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(596.4429, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2460.5010, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1051.2836, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2582.2437, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1005.0895, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(510.0259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(779.1061, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(568.4350, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1436.9049, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(543.5919, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(806.5896, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(582.7163, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(639.0071, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(730.0851, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1243.7174, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(381.1432, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1375.8627, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1318.6919, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1581.1895, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(380.8699, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(339.1039, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(521.5404, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(942.3983, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1038.0902, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1393.8866, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1100.8640, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(972.9361, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4972972972972973, 'recall': 0.22744128553770088, 'f1': 0.31212892281594573, 'number': 809}, 'P': {'precision': 0.42908827785817655, 'recall': 0.6831797235023042, 'f1': 0.5271111111111112, 'number': 868}, 'overall_precision': 0.4434931506849315, 'overall_recall': 0.46332737030411447, 'overall_f1': 0.45319335083114615, 'overall_accuracy': 0.6819288965432403}
			------------EPOCH 10---------------
Loss: tensor(645.0626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(421.3086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1991.8890, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(647.3818, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2366.3479, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1018.5421, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(488.8437, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(757.6758, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(670.1172, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1359.9067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(693.5380, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(787.0157, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(565.0127, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(704.5999, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(683.3925, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1135.4618, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(377.1718, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1228.3379, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(628.6149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(803.7294, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(281.3668, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(316.9211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(310.5587, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(723.9902, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1009.8383, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1201.9441, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(873.5906, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(748.7453, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.39876215738284704, 'recall': 0.5574783683559951, 'f1': 0.46494845360824744, 'number': 809}, 'P': {'precision': 0.5349794238683128, 'recall': 0.44930875576036866, 'f1': 0.48841577958672516, 'number': 868}, 'overall_precision': 0.4521505376344086, 'overall_recall': 0.5014907573047108, 'overall_f1': 0.475544246536613, 'overall_accuracy': 0.6791241235084267}
			------------EPOCH 11---------------
Loss: tensor(606.6088, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(486.0595, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1738.7545, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(682.4777, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1605.6802, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(649.4815, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(335.9558, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(595.0834, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(632.7386, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1322.7493, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(552.1075, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(849.7509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(572.1959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(616.7601, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(717.1959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1355.1180, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(371.8015, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1380.8970, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(833.6237, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(853.9340, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(229.0412, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(271.0688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(271.1583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(542.0945, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(890.5739, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(877.7751, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(744.3168, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(638.6441, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.33435114503816793, 'recall': 0.5414091470951793, 'f1': 0.41340254837187357, 'number': 809}, 'P': {'precision': 0.5291479820627802, 'recall': 0.1359447004608295, 'f1': 0.21631530705774515, 'number': 868}, 'overall_precision': 0.36268754076973253, 'overall_recall': 0.3315444245676804, 'overall_f1': 0.346417445482866, 'overall_accuracy': 0.5830975519744126}
			------------EPOCH 12---------------
Loss: tensor(831.9994, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(840.1702, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2798.6040, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1120.6337, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2751.8242, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(942.6670, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(474.2060, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(893.6035, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(397.0162, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(956.9891, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(460.6371, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(547.4440, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(365.8342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(435.1959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(484.9692, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(908.2472, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(365.4998, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1345.8937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(752.1784, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(932.9565, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(573.3374, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(674.8879, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(835.7294, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(853.8177, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1073.7677, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1819.1421, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1769.1833, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1245.4397, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.48711943793911006, 'recall': 0.25710754017305315, 'f1': 0.3365695792880259, 'number': 809}, 'P': {'precision': 0.41688311688311686, 'recall': 0.7396313364055299, 'f1': 0.5332225913621262, 'number': 868}, 'overall_precision': 0.43213014743263856, 'overall_recall': 0.5068574836016696, 'overall_f1': 0.46652030735455546, 'overall_accuracy': 0.6572518144913273}
			------------EPOCH 13---------------
Loss: tensor(752.8709, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(625.9451, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1839.1608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(842.3719, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1513.3987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(660.8597, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(403.5637, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(622.6083, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(395.7156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(913.3520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(431.1870, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(589.2468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(446.8757, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(495.4319, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(535.0807, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(859.6160, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(234.0486, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(985.3400, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(513.5955, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(597.3109, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(211.9722, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(193.7494, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(203.0218, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(714.6946, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(842.4041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(802.3209, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(660.4306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(596.5048, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.46291208791208793, 'recall': 0.41656365883807167, 'f1': 0.4385165907612232, 'number': 809}, 'P': {'precision': 0.5393794749403341, 'recall': 0.5207373271889401, 'f1': 0.52989449003517, 'number': 868}, 'overall_precision': 0.5038314176245211, 'overall_recall': 0.47048300536672627, 'overall_f1': 0.486586493987049, 'overall_accuracy': 0.6888424160413334}
			------------EPOCH 14---------------
Loss: tensor(356.2524, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(291.7395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1213.3708, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(498.7074, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1286.9004, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(410.5219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(310.2982, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(452.8585, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(401.9351, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(578.7144, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(326.9985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(430.8191, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(273.2112, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(317.5670, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(356.2993, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(633.3590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(177.8662, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(665.8072, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(306.4034, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(353.0284, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(178.8940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(161.1095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(197.4488, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(355.3231, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(507.8868, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(618.3850, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(706.8953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(365.2906, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.41191381495564006, 'recall': 0.40173053152039556, 'f1': 0.40675844806007505, 'number': 809}, 'P': {'precision': 0.49193548387096775, 'recall': 0.6324884792626728, 'f1': 0.5534274193548387, 'number': 868}, 'overall_precision': 0.4587926509186352, 'overall_recall': 0.5211687537268933, 'overall_f1': 0.4879955332216639, 'overall_accuracy': 0.703505966293517}
			------------EPOCH 15---------------
Loss: tensor(325.8853, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(228.4270, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1072.3618, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(512.4574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(987.5349, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(339.4955, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(183.2101, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(405.6950, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(285.5070, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(565.9424, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(283.7935, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(366.9288, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(243.7000, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(210.4689, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(293.2273, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(485.1768, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(126.3579, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(449.7918, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(251.8248, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(271.1186, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(125.8444, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.7706, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(101.8642, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(263.7327, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(392.2964, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(379.9420, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(371.2876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(237.8210, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.49493243243243246, 'recall': 0.3621755253399258, 'f1': 0.41827266238401145, 'number': 809}, 'P': {'precision': 0.5409356725146199, 'recall': 0.6394009216589862, 'f1': 0.5860612460401268, 'number': 868}, 'overall_precision': 0.5241038318912238, 'overall_recall': 0.505664877757901, 'overall_f1': 0.5147192716236723, 'overall_accuracy': 0.71750522819535}
			------------EPOCH 16---------------
Loss: tensor(193.3631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(110.6526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(636.8053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(269.8953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(722.1241, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(242.6083, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(144.0591, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(309.3490, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(249.2465, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(335.4318, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(209.6598, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(230.2290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(189.2671, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(177.4352, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(258.0079, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(377.8796, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.5821, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(326.4738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(202.9218, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(192.4899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.0214, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.4038, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.7836, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(166.5137, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(299.5476, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(246.6685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(261.1215, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(186.2609, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.48086124401913877, 'recall': 0.4969097651421508, 'f1': 0.48875379939209723, 'number': 809}, 'P': {'precision': 0.5459940652818991, 'recall': 0.6359447004608295, 'f1': 0.5875465673230442, 'number': 868}, 'overall_precision': 0.5165132647536546, 'overall_recall': 0.5688729874776386, 'overall_f1': 0.5414301929625426, 'overall_accuracy': 0.735194980932464}
			------------EPOCH 17---------------
Loss: tensor(162.9047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(87.0875, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(342.4973, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(190.1014, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(474.0032, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(147.5279, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.2420, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(218.6615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(193.2995, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(278.1175, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(133.7862, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(186.8580, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(135.4438, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(115.2746, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(177.3292, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(370.2920, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.7835, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(189.4484, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(149.0783, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(138.2029, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.6835, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.6664, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.0366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(124.7209, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(253.7137, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(189.6269, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(188.7372, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(144.3612, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5167336010709505, 'recall': 0.47713226205191595, 'f1': 0.4961439588688946, 'number': 809}, 'P': {'precision': 0.5591506572295247, 'recall': 0.6370967741935484, 'f1': 0.5955842757135164, 'number': 868}, 'overall_precision': 0.5408986175115207, 'overall_recall': 0.5599284436493739, 'overall_f1': 0.5502490477585701, 'overall_accuracy': 0.7354902201992866}
			------------EPOCH 18---------------
Loss: tensor(117.0426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.5825, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(211.8215, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(117.5943, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(298.7084, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.2492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.8091, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(154.4225, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(132.9368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(155.8555, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.3619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(128.2858, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.1832, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.8005, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(142.1543, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(211.9884, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.7735, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(148.6637, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.8116, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.3739, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.8837, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.2224, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.5234, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.5600, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(220.1032, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(164.3610, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(149.1592, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.9084, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5140740740740741, 'recall': 0.4289245982694685, 'f1': 0.4676549865229111, 'number': 809}, 'P': {'precision': 0.5574712643678161, 'recall': 0.6705069124423964, 'f1': 0.6087866108786611, 'number': 868}, 'overall_precision': 0.5404304828388597, 'overall_recall': 0.5539654144305307, 'overall_f1': 0.5471142520612485, 'overall_accuracy': 0.737458481978103}
			------------EPOCH 19---------------
Loss: tensor(94.5548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.0762, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(164.1369, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.0027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(223.5395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.9670, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.4429, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(127.9182, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.9312, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(131.3831, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.8745, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(98.2923, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.0608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.7943, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(98.5747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(146.7528, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.3119, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(111.8573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.9675, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.1284, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.4392, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.0149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.0254, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.6273, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(189.2497, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.9135, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(113.2574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.5541, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4918032786885246, 'recall': 0.519159456118665, 'f1': 0.5051112447384246, 'number': 809}, 'P': {'precision': 0.5852585258525853, 'recall': 0.6129032258064516, 'f1': 0.598761958356781, 'number': 868}, 'overall_precision': 0.5399886557005105, 'overall_recall': 0.56768038163387, 'overall_f1': 0.5534883720930233, 'overall_accuracy': 0.7338664042317629}
			------------EPOCH 20---------------
Loss: tensor(67.5509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.2068, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(126.9905, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.6267, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(171.8164, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.2767, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.1544, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(111.5834, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(143.7065, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(90.6804, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.1387, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.4639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.3006, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.2671, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.3966, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(122.1554, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.7707, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(91.6120, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.3633, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.2054, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.1824, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.6329, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.1492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.3826, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(177.4238, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.0533, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.8387, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.2122, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5245901639344263, 'recall': 0.43510506798516685, 'f1': 0.4756756756756757, 'number': 809}, 'P': {'precision': 0.5577464788732395, 'recall': 0.684331797235023, 'f1': 0.6145887221934817, 'number': 868}, 'overall_precision': 0.5449308755760369, 'overall_recall': 0.5641025641025641, 'overall_f1': 0.5543510108409025, 'overall_accuracy': 0.7369172099889285}
			------------EPOCH 21---------------
Loss: tensor(60.6723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.5543, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.9883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.9890, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(130.2957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.8313, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.0167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(101.7012, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.8505, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(77.7606, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.4741, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(77.6274, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.7062, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.5432, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.2718, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(92.4873, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.8052, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.6144, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.1096, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.2723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.9671, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.9655, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.0617, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.9390, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.9952, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.2820, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.1561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.7468, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5048543689320388, 'recall': 0.5142150803461063, 'f1': 0.509491733006736, 'number': 809}, 'P': {'precision': 0.5836864406779662, 'recall': 0.6347926267281107, 'f1': 0.608167770419426, 'number': 868}, 'overall_precision': 0.5469457013574661, 'overall_recall': 0.5766249254621347, 'overall_f1': 0.5613933236574746, 'overall_accuracy': 0.7370156230778694}
			------------EPOCH 22---------------
Loss: tensor(46.6366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.0980, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(92.8873, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.7085, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(106.2301, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.2898, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5707, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.2625, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.8742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.7201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.9486, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.2713, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.8578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.6591, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.8852, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.6074, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.4088, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.9634, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.9229, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.7244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.9413, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.2712, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.1459, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.8836, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(144.4051, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.8552, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.8285, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.3264, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5319727891156463, 'recall': 0.48331273176761436, 'f1': 0.506476683937824, 'number': 809}, 'P': {'precision': 0.5823412698412699, 'recall': 0.6762672811059908, 'f1': 0.6257995735607675, 'number': 868}, 'overall_precision': 0.5611015490533563, 'overall_recall': 0.5831842576028623, 'overall_f1': 0.5719298245614035, 'overall_accuracy': 0.7395743633903309}
			------------EPOCH 23---------------
Loss: tensor(39.8851, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.0110, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.3240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.9046, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.5298, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.2373, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.7409, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.0723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.6419, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.7127, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.9007, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.9549, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.6943, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.5609, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.7545, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.7572, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.9528, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.2621, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.7560, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.8204, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.7095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.3192, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.5126, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.7059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(130.7266, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.5914, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.0487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.1425, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.519205298013245, 'recall': 0.484548825710754, 'f1': 0.5012787723785166, 'number': 809}, 'P': {'precision': 0.5850202429149798, 'recall': 0.6658986175115207, 'f1': 0.622844827586207, 'number': 868}, 'overall_precision': 0.5565117613310384, 'overall_recall': 0.5784138342277877, 'overall_f1': 0.567251461988304, 'overall_accuracy': 0.7371632427112806}
			------------EPOCH 24---------------
Loss: tensor(33.1788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1117, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.2994, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.3773, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.8274, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.1204, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.0352, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.1484, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.9673, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.8446, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.7159, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.3930, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.5550, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.2825, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.9203, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.2149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.3369, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.1450, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.3348, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.2610, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.9051, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.0911, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.5832, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.7936, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(117.6522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.6572, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.2073, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.7765, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5128865979381443, 'recall': 0.4919653893695921, 'f1': 0.5022082018927445, 'number': 809}, 'P': {'precision': 0.584349593495935, 'recall': 0.6624423963133641, 'f1': 0.6209503239740821, 'number': 868}, 'overall_precision': 0.5528409090909091, 'overall_recall': 0.5802027429934407, 'overall_f1': 0.5661914460285131, 'overall_accuracy': 0.7371632427112806}
			------------EPOCH 25---------------
Loss: tensor(27.7508, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.4899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.1346, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.2455, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.1459, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.2640, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.6116, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.1750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.0737, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.0245, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.8703, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.8707, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.1033, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.9194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.2647, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.8812, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.7691, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.9948, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.5538, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.7498, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.8896, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.3468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.1863, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.1939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(106.7184, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.4416, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.3884, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.6786, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5179760319573902, 'recall': 0.48084054388133496, 'f1': 0.4987179487179488, 'number': 809}, 'P': {'precision': 0.5783730158730159, 'recall': 0.6716589861751152, 'f1': 0.621535181236674, 'number': 868}, 'overall_precision': 0.5525866969869244, 'overall_recall': 0.5796064400715564, 'overall_f1': 0.5657741559953434, 'overall_accuracy': 0.7365481609054004}
			------------EPOCH 26---------------
Loss: tensor(23.5994, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.2797, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.3027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.4712, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.0456, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.4040, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.3062, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.2190, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.9416, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.5356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.8560, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.9911, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.0050, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.5005, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.5518, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.9682, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.3883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.7640, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.2686, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.9957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.9202, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.2416, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.1788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.5366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.6564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.3541, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5157068062827225, 'recall': 0.48702101359703337, 'f1': 0.5009535918626828, 'number': 809}, 'P': {'precision': 0.5804828973843058, 'recall': 0.6647465437788018, 'f1': 0.619763694951665, 'number': 868}, 'overall_precision': 0.5523321956769056, 'overall_recall': 0.5790101371496721, 'overall_f1': 0.5653566229985444, 'overall_accuracy': 0.7363021281830483}
			------------EPOCH 27---------------
Loss: tensor(20.4006, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.1102, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.1548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.8221, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.7734, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.1746, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.6340, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.2137, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.9709, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.0958, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5807, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.9523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.1961, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.3519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.5399, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.2625, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.6154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.5681, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.5723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.9778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.8279, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.9398, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.8408, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.5649, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.7574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.2396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.4815, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.3134, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5151116951379764, 'recall': 0.484548825710754, 'f1': 0.4993630573248408, 'number': 809}, 'P': {'precision': 0.5826612903225806, 'recall': 0.6658986175115207, 'f1': 0.621505376344086, 'number': 868}, 'overall_precision': 0.5533371363377068, 'overall_recall': 0.5784138342277877, 'overall_f1': 0.565597667638484, 'overall_accuracy': 0.7358346660105795}
			------------EPOCH 28---------------
Loss: tensor(17.9166, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.1215, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.5975, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.7925, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.9764, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.4485, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.2309, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.1419, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.6269, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.7454, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.6599, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.1640, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.0418, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.6757, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.9004, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.8366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.2976, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.9162, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.4596, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4581, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.1103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.9755, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.2168, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.3415, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.4241, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.6387, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.4529, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5131926121372031, 'recall': 0.48084054388133496, 'f1': 0.4964901084875558, 'number': 809}, 'P': {'precision': 0.58, 'recall': 0.6682027649769585, 'f1': 0.620985010706638, 'number': 868}, 'overall_precision': 0.5511945392491467, 'overall_recall': 0.5778175313059034, 'overall_f1': 0.5641921397379913, 'overall_accuracy': 0.7355640300159921}
			------------EPOCH 29---------------
Loss: tensor(16.0933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.2138, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.3778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.1644, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.9435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.2147, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.8344, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.6991, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.4012, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.0329, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.0342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.2919, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9141, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.3832, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.1198, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.3193, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.3377, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.5216, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.1014, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.1749, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3851, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3155, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.1124, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.5684, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.9380, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.0796, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.7493, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5105540897097626, 'recall': 0.4783683559950556, 'f1': 0.49393746011486916, 'number': 809}, 'P': {'precision': 0.5794205794205795, 'recall': 0.6682027649769585, 'f1': 0.6206527554842162, 'number': 868}, 'overall_precision': 0.5497441728254691, 'overall_recall': 0.5766249254621347, 'overall_f1': 0.5628637951105937, 'overall_accuracy': 0.735662443104933}
			------------EPOCH 30---------------
Loss: tensor(14.6913, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.4202, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.3030, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.6820, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.9283, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.5873, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.6640, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.9202, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.3800, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.3232, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.4516, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.0240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.5937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.9104, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.6846, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.9533, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.9860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.7565, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.3314, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.9478, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.9992, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.7302, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.7312, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.1765, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.4244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.7181, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.7472, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.1239, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.5118733509234829, 'recall': 0.4796044499381953, 'f1': 0.4952137843012125, 'number': 809}, 'P': {'precision': 0.58, 'recall': 0.6682027649769585, 'f1': 0.620985010706638, 'number': 868}, 'overall_precision': 0.5506257110352674, 'overall_recall': 0.5772212283840191, 'overall_f1': 0.5636098981077148, 'overall_accuracy': 0.7353426005658753}


		-------------RUN 3-----------
			------------EPOCH 1---------------
Loss: tensor(2428.1499, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3102.7212, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2059.6687, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2477.8313, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3188.0645, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3555.8970, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2371.5862, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3919.5549, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1708.9856, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2564.5342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3459.3730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2221.5332, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4420.2651, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2360.4250, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2693.4487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2629.4038, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2964.0317, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2997.4233, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3446.2546, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1717.4626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1824.3849, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2324.3169, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2701.3262, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1546.4858, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1100.7480, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1485.8157, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2119.6306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1526.5969, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1343.1626, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.034482758620689655, 'recall': 0.010101010101010102, 'f1': 0.015625, 'number': 891}, 'P': {'precision': 0.009445100354191263, 'recall': 0.009029345372460496, 'f1': 0.009232544720138488, 'number': 886}, 'overall_precision': 0.015342960288808664, 'overall_recall': 0.009566685424873381, 'overall_f1': 0.011785095320623917, 'overall_accuracy': 0.3985466856588427}
			------------EPOCH 2---------------
Loss: tensor(1771.1650, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2256.2319, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1562.4775, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1994.1553, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2475.1440, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2598.3203, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1704.4722, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3075.8496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1327.7556, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2068.2395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2971.9150, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1772.4268, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3692.6855, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1988.4242, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2257.2710, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2185.6704, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2447.2046, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2462.7441, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2915.3179, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1427.9121, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1511.6233, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1914.9204, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2233.7729, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1312.8617, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(965.1515, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1340.6211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1964.2982, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1398.8223, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1283.5295, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 891}, 'P': {'precision': 0.09601347557551937, 'recall': 0.1930022573363431, 'f1': 0.12823397075365578, 'number': 886}, 'overall_precision': 0.09395604395604396, 'overall_recall': 0.09622960045019696, 'overall_f1': 0.0950792326939116, 'overall_accuracy': 0.49604673726801674}
			------------EPOCH 3---------------
Loss: tensor(1356.7537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1828.8566, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1254.8652, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1542.2440, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2079.8298, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2506.6313, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1618.2224, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2897.1660, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1079.1294, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1543.7662, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2529.3352, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1577.0752, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3330.8628, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1807.9066, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2149.5825, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1777.2383, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2178.4792, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2151.1802, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2671.6978, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1240.0837, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1210.8062, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1647.4685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1940.6018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1175.1123, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(844.4279, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1122.4398, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1612.7113, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1200.6953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1097.4922, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.11970802919708029, 'recall': 0.0920314253647587, 'f1': 0.10406091370558376, 'number': 891}, 'P': {'precision': 0.1966019417475728, 'recall': 0.3656884875846501, 'f1': 0.25572217837411204, 'number': 886}, 'overall_precision': 0.17402486069438491, 'overall_recall': 0.2284749577940349, 'overall_f1': 0.19756690997566909, 'overall_accuracy': 0.5613633079416197}
			------------EPOCH 4---------------
Loss: tensor(1117.6445, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1548.5454, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1044.1017, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1510.9022, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1919.7927, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2226.7642, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1440.9763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2750.1675, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(862.9532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1271.1738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2170.4160, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1319.5388, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2853.8530, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1644.5371, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1812.6238, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1395.5332, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1857.5460, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1804.4417, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2236.2729, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1103.8771, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(976.3107, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1383.8597, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1584.8557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(931.2985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(655.1463, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1022.6904, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1450.6304, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1126.7513, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(901.9706, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.17938420348058903, 'recall': 0.15039281705948374, 'f1': 0.16361416361416364, 'number': 891}, 'P': {'precision': 0.2729393468118196, 'recall': 0.3961625282167043, 'f1': 0.32320441988950277, 'number': 886}, 'overall_precision': 0.23856369896704377, 'overall_recall': 0.27293190770962295, 'overall_f1': 0.2545931758530184, 'overall_accuracy': 0.5852273900208501}
			------------EPOCH 5---------------
Loss: tensor(864.8911, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1277.0964, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(883.0077, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1246.2070, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1619.0886, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1790.4717, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1078.7983, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2212.0400, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(677.5286, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(971.3855, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1879.7596, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1144.6755, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2439.2456, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1356.9379, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1541.6498, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1003.3135, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1473.9506, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1423.5458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1684.8369, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(869.7308, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(759.1753, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1022.4335, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1202.5757, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(694.5446, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(514.9210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(876.4235, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1236.9382, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1001.9059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(755.4102, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.1690307328605201, 'recall': 0.16049382716049382, 'f1': 0.1646516983304548, 'number': 891}, 'P': {'precision': 0.17084745762711864, 'recall': 0.28442437923250563, 'f1': 0.21346886912325286, 'number': 886}, 'overall_precision': 0.17018526497199482, 'overall_recall': 0.22228474957794034, 'overall_f1': 0.19277696437286482, 'overall_accuracy': 0.595177638777069}
			------------EPOCH 6---------------
Loss: tensor(628.1358, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1023.5615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(780.3364, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1013.8316, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1303.3169, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1477.1838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(893.2986, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1679.8806, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(476.6309, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(644.7493, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1404.3845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(896.6540, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1999.8622, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1031.5615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1282.6375, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(747.7316, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1207.7598, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1149.5032, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1275.7000, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(696.9679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(613.4502, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(738.2990, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(830.1793, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(494.4587, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(331.9516, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(710.0415, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(920.9053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(703.0085, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(517.0233, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.1934673366834171, 'recall': 0.08641975308641975, 'f1': 0.1194724592707525, 'number': 891}, 'P': {'precision': 0.26062322946175637, 'recall': 0.3115124153498871, 'f1': 0.2838046272493573, 'number': 886}, 'overall_precision': 0.24227865477007549, 'overall_recall': 0.19864940911648846, 'overall_f1': 0.21830550401978974, 'overall_accuracy': 0.5525691046840486}
			------------EPOCH 7---------------
Loss: tensor(572.7349, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1011.6274, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(642.0552, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(796.5339, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1059.4087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(988.8005, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(574.5701, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1289.0897, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(325.3202, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(461.4836, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1086.3289, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(702.5391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1559.3848, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(774.0643, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1135.0911, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(579.8734, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(949.5412, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1083.1598, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1034.7354, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(629.6564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(510.7497, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(645.9302, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(732.9536, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(531.2085, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(281.3259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(589.5374, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(712.9959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(635.0607, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(398.1845, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.1573301549463647, 'recall': 0.14814814814814814, 'f1': 0.15260115606936417, 'number': 891}, 'P': {'precision': 0.11119186046511628, 'recall': 0.172686230248307, 'f1': 0.13527851458885942, 'number': 886}, 'overall_precision': 0.12866817155756208, 'overall_recall': 0.16038266741699495, 'overall_f1': 0.14278557114228457, 'overall_accuracy': 0.5775479449226895}
			------------EPOCH 8---------------
Loss: tensor(335.6584, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(544.4050, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(535.7382, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(653.3670, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(970.5927, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(869.5359, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(514.1912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1164.7672, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(362.2356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(465.2923, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1109.6359, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(695.0855, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1068.7700, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(541.2747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(725.8352, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(411.5844, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(644.3571, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(645.2811, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(668.4818, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(352.4540, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(369.9581, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(524.1195, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(627.3240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(411.4539, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(251.9472, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(588.6155, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(821.6929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(650.5912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(380.3990, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.33568904593639576, 'recall': 0.4264870931537598, 'f1': 0.3756796836381612, 'number': 891}, 'P': {'precision': 0.40017905102954343, 'recall': 0.5045146726862303, 'f1': 0.4463305042436345, 'number': 886}, 'overall_precision': 0.36771898621609606, 'overall_recall': 0.46539110861001687, 'overall_f1': 0.41082960755091896, 'overall_accuracy': 0.6027745091967548}
			------------EPOCH 9---------------
Loss: tensor(330.1240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(518.6081, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(362.2184, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(670.9602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(902.4344, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(979.4331, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(501.6927, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1178.0604, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(184.9237, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(290.3816, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(727.9664, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(494.2931, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(878.4468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(345.7999, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(515.4798, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(322.1931, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(599.6933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(540.3795, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(687.0208, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(317.5927, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(302.6159, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(396.2137, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(418.9724, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(295.4358, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(162.2283, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(373.5300, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(397.0890, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(325.2047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(238.1435, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3105590062111801, 'recall': 0.2244668911335578, 'f1': 0.26058631921824105, 'number': 891}, 'P': {'precision': 0.32403997895844294, 'recall': 0.6952595936794582, 'f1': 0.4420523860782203, 'number': 886}, 'overall_precision': 0.3206286836935167, 'overall_recall': 0.45920090039392236, 'overall_f1': 0.3776029615918556, 'overall_accuracy': 0.6325426807869367}
			------------EPOCH 10---------------
Loss: tensor(259.2275, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(427.6907, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(331.3128, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(444.6521, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(759.9548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(517.1196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(311.9424, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(663.1860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(148.1589, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(242.1396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(558.1016, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(370.5961, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1247.0358, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(564.1571, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(953.8854, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(556.3288, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(847.3335, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(651.1296, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(753.2793, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(374.4294, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(179.8468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(272.6815, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(279.5090, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(193.3019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(173.6155, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(512.0927, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(617.2182, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(358.7014, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(764.0894, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.25210084033613445, 'recall': 0.03367003367003367, 'f1': 0.059405940594059396, 'number': 891}, 'P': {'precision': 0.3583872573419612, 'recall': 0.8126410835214447, 'f1': 0.49740932642487046, 'number': 886}, 'overall_precision': 0.3524436090225564, 'overall_recall': 0.4220596510973551, 'overall_f1': 0.38412291933418696, 'overall_accuracy': 0.5824817819615615}
			------------EPOCH 11---------------
Loss: tensor(732.1428, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(967.9554, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1462.4534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(823.5596, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1566.3802, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(720.9372, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(421.3949, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1401.9198, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(205.2500, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(192.6714, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(527.9952, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(464.9126, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(579.9068, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(272.6229, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(393.1174, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(315.8928, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1047.4707, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1203.6322, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1710.5212, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(591.0683, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(677.7828, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(708.3792, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(897.1827, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(516.7194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(207.7839, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(581.1987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(750.2991, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(534.6290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(265.3353, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.30920372285418823, 'recall': 0.33557800224466894, 'f1': 0.3218514531754575, 'number': 891}, 'P': {'precision': 0.38659392049883085, 'recall': 0.5598194130925508, 'f1': 0.4573536191793453, 'number': 886}, 'overall_precision': 0.35333333333333333, 'overall_recall': 0.4473832301631964, 'overall_f1': 0.39483486466352125, 'overall_accuracy': 0.6343180363741459}
			------------EPOCH 12---------------
Loss: tensor(234.9067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(310.1056, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(307.3900, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(473.3455, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(568.8951, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(368.8817, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(236.8998, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(527.7723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(180.3368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(238.6787, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(581.0956, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(476.1519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(963.4003, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(444.8328, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(682.6838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(321.9987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(676.2671, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(547.8210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(547.1724, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(353.7425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(209.3038, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(358.3734, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(343.8138, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(178.6066, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(101.1425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(257.1412, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(288.9514, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(274.8373, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(144.4449, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.40796703296703296, 'recall': 0.3333333333333333, 'f1': 0.3668931439159975, 'number': 891}, 'P': {'precision': 0.4117647058823529, 'recall': 0.6399548532731377, 'f1': 0.5011047282368538, 'number': 886}, 'overall_precision': 0.4104513064133017, 'overall_recall': 0.48621271806415306, 'overall_f1': 0.4451313755795982, 'overall_accuracy': 0.6461675027352862}
			------------EPOCH 13---------------
Loss: tensor(146.8826, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(214.3937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(166.2050, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(247.6909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(487.7450, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(244.8007, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(178.6083, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(324.0740, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(94.0478, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(141.7478, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(314.0487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(257.5778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(344.3380, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(126.9827, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(264.5912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(126.9373, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(281.4194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(257.3969, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(343.1880, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(107.7858, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(144.3871, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(211.7912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(206.5272, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(152.1753, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.7295, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(264.4768, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(224.4208, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(238.9551, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(107.3365, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4370860927152318, 'recall': 0.4444444444444444, 'f1': 0.44073455759599334, 'number': 891}, 'P': {'precision': 0.43601059135039716, 'recall': 0.5575620767494357, 'f1': 0.4893511639425458, 'number': 886}, 'overall_precision': 0.43648847474252084, 'overall_recall': 0.5008441193021947, 'overall_f1': 0.46645702306079667, 'overall_accuracy': 0.6493259841869491}
			------------EPOCH 14---------------
Loss: tensor(115.2350, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(166.2902, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(125.6810, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(184.0496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(374.6368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(175.9033, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(142.3321, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(206.9487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.7466, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(101.4583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(206.9076, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(183.5614, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(252.2219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(98.0859, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(168.5843, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.8005, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(225.2892, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(165.3564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(312.3696, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.3387, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(111.0778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(170.4312, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(135.2990, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(119.3698, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.5558, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(153.1647, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(146.5594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(120.8927, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(91.8457, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4535367545076283, 'recall': 0.367003367003367, 'f1': 0.40570719602977673, 'number': 891}, 'P': {'precision': 0.4191881918819188, 'recall': 0.6410835214446953, 'f1': 0.5069165551093262, 'number': 886}, 'overall_precision': 0.43111753371868977, 'overall_recall': 0.5036578503095104, 'overall_f1': 0.46457305995328313, 'overall_accuracy': 0.654259821225821}
			------------EPOCH 15---------------
Loss: tensor(81.5220, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(123.8997, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.4581, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(150.0008, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(318.1229, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.1109, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(111.4218, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(167.8698, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.8678, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.0869, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(191.3565, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.8221, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(232.2150, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.8274, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(144.5415, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.5465, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(170.7624, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(125.7168, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(290.4136, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.9595, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.5900, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(145.6386, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(122.3052, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(112.9182, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.5047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(122.8458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(126.6419, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(104.2135, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.3285, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4379391100702576, 'recall': 0.41975308641975306, 'f1': 0.42865329512893985, 'number': 891}, 'P': {'precision': 0.42641209228321403, 'recall': 0.6049661399548533, 'f1': 0.5002333177788147, 'number': 886}, 'overall_precision': 0.43107531975367125, 'overall_recall': 0.5120990433314575, 'overall_f1': 0.4681069958847736, 'overall_accuracy': 0.653702442146116}
			------------EPOCH 16---------------
Loss: tensor(70.7943, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.0249, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.4233, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(123.6950, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(238.3251, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(113.2081, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.3327, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(125.6488, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.0320, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.1325, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(141.5294, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(128.9717, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(177.9622, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.1434, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(105.0562, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.5300, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(127.4386, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(102.4761, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(250.0414, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.8988, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.9589, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.3494, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.3947, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(97.7681, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.7716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(99.7062, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.2507, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.0227, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.0963, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.44224037339556593, 'recall': 0.42536475869809204, 'f1': 0.43363844393592677, 'number': 891}, 'P': {'precision': 0.4384678076609617, 'recall': 0.6072234762979684, 'f1': 0.5092285849503077, 'number': 886}, 'overall_precision': 0.44001919385796545, 'overall_recall': 0.5160382667416995, 'overall_f1': 0.47500647500647497, 'overall_accuracy': 0.6545281889308644}
			------------EPOCH 17---------------
Loss: tensor(57.2018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.6494, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.2646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(104.1662, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(189.2582, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(97.6523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.1311, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(106.6018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.2224, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.8604, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(117.0433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(112.1362, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(159.7087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.7706, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(99.6811, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.6752, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(104.8918, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.4078, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(217.2271, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.0772, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.8245, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(87.1931, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(94.2639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.8190, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.6893, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(76.0392, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.8293, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.3629, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.9625, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.442643391521197, 'recall': 0.3984287317620651, 'f1': 0.4193738924985234, 'number': 891}, 'P': {'precision': 0.43025078369905956, 'recall': 0.6196388261851016, 'f1': 0.5078630897317298, 'number': 886}, 'overall_precision': 0.43503368623676614, 'overall_recall': 0.5087225661226786, 'overall_f1': 0.4690012970168612, 'overall_accuracy': 0.6566131995623542}
			------------EPOCH 18---------------
Loss: tensor(46.9427, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.2978, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.6220, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.6574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(160.0228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.0866, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.2628, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(94.8299, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.5278, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.2496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.5892, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(91.5602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(147.6811, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.1439, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.8046, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.3008, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.4499, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.4994, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(193.6267, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.2849, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.0566, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.9199, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.1055, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.9509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.2335, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.0480, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(87.5075, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.0482, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.1447, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4390532544378698, 'recall': 0.4163860830527497, 'f1': 0.42741935483870963, 'number': 891}, 'P': {'precision': 0.4446227929373997, 'recall': 0.6252821670428894, 'f1': 0.5196998123827392, 'number': 886}, 'overall_precision': 0.44237207077953133, 'overall_recall': 0.5205402363534046, 'overall_f1': 0.4782833505687694, 'overall_accuracy': 0.6577486013913834}
			------------EPOCH 19---------------
Loss: tensor(41.3709, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.7774, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.8505, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.2091, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(136.2401, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.7602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.0745, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.9767, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.2241, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.7567, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.4641, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.2085, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(136.2234, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.7948, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.7981, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.1286, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.9076, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.7932, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(166.2264, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.3666, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.1476, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.8666, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.5888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.9809, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.2556, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.4659, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.2586, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.1447, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.7649, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4470868014268728, 'recall': 0.4219977553310887, 'f1': 0.4341801385681293, 'number': 891}, 'P': {'precision': 0.44362745098039214, 'recall': 0.6128668171557562, 'f1': 0.5146919431279621, 'number': 886}, 'overall_precision': 0.4450363196125908, 'overall_recall': 0.5171637591446258, 'overall_f1': 0.478396668401874, 'overall_accuracy': 0.6577692450610021}
			------------EPOCH 20---------------
Loss: tensor(35.3665, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.7627, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.9753, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.2678, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(119.5307, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.2506, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.2413, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(76.5471, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.6223, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.9354, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.0162, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.6288, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(122.9489, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.7327, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.8172, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.1433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.8342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.3339, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(137.0802, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.3639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.9426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.9263, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.7861, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.7863, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.7615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.1992, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.5312, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.2747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.2358, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4428399518652226, 'recall': 0.41301907968574636, 'f1': 0.4274099883855982, 'number': 891}, 'P': {'precision': 0.44006436041834274, 'recall': 0.6173814898419865, 'f1': 0.5138562705495539, 'number': 886}, 'overall_precision': 0.4411764705882353, 'overall_recall': 0.5149127743387732, 'overall_f1': 0.4752012464294988, 'overall_accuracy': 0.655477797733325}
			------------EPOCH 21---------------
Loss: tensor(31.1036, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.4539, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.6999, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.2235, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(105.2342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.1672, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.4883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.9680, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.7107, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.9911, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.4875, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.7716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(117.0380, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.7039, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.8946, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.9611, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.1348, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.9338, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(116.3833, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.1497, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.6590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.3909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.9221, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.7317, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.6687, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.5801, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.5577, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.3642, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.2033, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.43899521531100477, 'recall': 0.4118967452300786, 'f1': 0.42501447596988995, 'number': 891}, 'P': {'precision': 0.4407051282051282, 'recall': 0.6207674943566591, 'f1': 0.5154639175257733, 'number': 886}, 'overall_precision': 0.44001919385796545, 'overall_recall': 0.5160382667416995, 'overall_f1': 0.47500647500647497, 'overall_accuracy': 0.655126855349807}
			------------EPOCH 22---------------
Loss: tensor(27.8548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.4852, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.5488, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.1693, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.9256, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.1767, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.3377, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.4097, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.4971, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.2136, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.3280, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.7000, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(112.6315, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.0707, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.3851, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.2393, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.5751, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.5409, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.7957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.8408, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.8392, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.5983, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.8166, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.8494, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.5456, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.0013, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.0691, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.2002, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.8252, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.43457943925233644, 'recall': 0.4175084175084175, 'f1': 0.42587292501431023, 'number': 891}, 'P': {'precision': 0.438610662358643, 'recall': 0.6128668171557562, 'f1': 0.5112994350282486, 'number': 886}, 'overall_precision': 0.4369627507163324, 'overall_recall': 0.5149127743387732, 'overall_f1': 0.4727460604494963, 'overall_accuracy': 0.653908878842303}
			------------EPOCH 23---------------
Loss: tensor(25.4186, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.8267, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.9172, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.3342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.9266, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.4873, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.9491, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.6489, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.9604, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.5529, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.9525, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.5755, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.2140, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.7959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.3492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.2937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.2460, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.5520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.8789, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.9127, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.5385, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.2788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.4236, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.1250, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.7889, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.2146, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.2432, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.4354, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.1109, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.43953488372093025, 'recall': 0.42424242424242425, 'f1': 0.431753283837807, 'number': 891}, 'P': {'precision': 0.436084142394822, 'recall': 0.608352144469526, 'f1': 0.5080113100848257, 'number': 886}, 'overall_precision': 0.4375, 'overall_recall': 0.5160382667416995, 'overall_f1': 0.47353472760134263, 'overall_accuracy': 0.6535992237980224}
			------------EPOCH 24---------------
Loss: tensor(23.2527, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.5198, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.8176, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.4318, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.0333, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.1823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.1647, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.0647, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.3505, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.1104, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.8830, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.5437, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(105.4538, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.7413, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.9141, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.9287, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.4479, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.4879, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.4834, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.1343, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.4029, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.0433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.9820, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.5639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.1509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.2948, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.2831, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.7890, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.7082, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.43815028901734104, 'recall': 0.42536475869809204, 'f1': 0.4316628701594533, 'number': 891}, 'P': {'precision': 0.4350282485875706, 'recall': 0.608352144469526, 'f1': 0.5072941176470588, 'number': 886}, 'overall_precision': 0.43631178707224333, 'overall_recall': 0.5166010129431626, 'overall_f1': 0.47307395001288327, 'overall_accuracy': 0.653619867467641}
			------------EPOCH 25---------------
Loss: tensor(21.6558, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1062, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.5877, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.3762, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.4770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.8512, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.3374, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.5200, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.1290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.9777, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.1434, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.3000, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.7847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.7960, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.8657, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.8888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.0092, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.9387, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.9324, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.1935, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.3646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.0536, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.0661, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.7621, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.6283, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.9154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.2097, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.8854, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.6365, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4372093023255814, 'recall': 0.4219977553310887, 'f1': 0.4294688749286122, 'number': 891}, 'P': {'precision': 0.43260694108151737, 'recall': 0.6049661399548533, 'f1': 0.5044705882352941, 'number': 886}, 'overall_precision': 0.43449261553120533, 'overall_recall': 0.5132245357343838, 'overall_f1': 0.4705882352941176, 'overall_accuracy': 0.6533514997625978}
			------------EPOCH 26---------------
Loss: tensor(20.1914, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8083, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.7524, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.7206, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.7069, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.7752, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.0511, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.5131, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.0361, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.9326, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.7309, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.7408, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(98.3273, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.9742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.2144, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.1564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.7797, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.4880, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.2231, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.3683, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.4657, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.8100, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.4373, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.4333, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.1626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.8070, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.5124, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.9291, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.4762, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4435294117647059, 'recall': 0.42312008978675647, 'f1': 0.4330844342331993, 'number': 891}, 'P': {'precision': 0.4360418342719228, 'recall': 0.6117381489841986, 'f1': 0.5091592296852983, 'number': 886}, 'overall_precision': 0.43908265647396083, 'overall_recall': 0.5171637591446258, 'overall_f1': 0.4749354005167959, 'overall_accuracy': 0.6537437294853533}
			------------EPOCH 27---------------
Loss: tensor(18.6760, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.0534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.1349, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.3750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.9925, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.8946, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.3069, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.9082, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.3125, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.1103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.0240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.9526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.1192, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.2915, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.8464, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.5379, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.4046, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.0518, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.6466, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.6480, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.6971, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.8258, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.9323, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.3289, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.7548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.8151, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.1102, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.8610, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.2975, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4452296819787986, 'recall': 0.42424242424242425, 'f1': 0.43448275862068964, 'number': 891}, 'P': {'precision': 0.43845534995977475, 'recall': 0.6151241534988713, 'f1': 0.5119774542038515, 'number': 886}, 'overall_precision': 0.44120458891013387, 'overall_recall': 0.5194147439504784, 'overall_f1': 0.47712587231842857, 'overall_accuracy': 0.6537230858157346}
			------------EPOCH 28---------------
Loss: tensor(17.8388, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.4242, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.6286, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.3238, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.2244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.3224, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.8688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.4148, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.6444, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.4685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.2997, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.6587, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(94.4487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.6542, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.7351, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.9435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.0680, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.1169, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.0065, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.0678, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.9875, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.9609, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.4006, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.3756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.3950, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.9349, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.1979, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.6852, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.0258, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4427390791027155, 'recall': 0.4208754208754209, 'f1': 0.4315304948216341, 'number': 891}, 'P': {'precision': 0.43785084202085006, 'recall': 0.6162528216704289, 'f1': 0.5119549929676512, 'number': 886}, 'overall_precision': 0.43982808022922637, 'overall_recall': 0.518289251547552, 'overall_f1': 0.4758460346163782, 'overall_accuracy': 0.6527734770132739}
			------------EPOCH 29---------------
Loss: tensor(16.9761, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.9895, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.2774, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.5366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.8549, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.8162, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.5714, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.8798, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2555, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.9194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.9243, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.7916, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.8538, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.0830, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.7464, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.6502, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.5174, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.0988, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.9608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.2212, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.4346, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4828, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.6295, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.0086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.9704, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.2193, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.7521, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.5981, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.4739, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.43911007025761123, 'recall': 0.4208754208754209, 'f1': 0.42979942693409745, 'number': 891}, 'P': {'precision': 0.4323458767013611, 'recall': 0.6094808126410836, 'f1': 0.5058548009367682, 'number': 886}, 'overall_precision': 0.43509272467902993, 'overall_recall': 0.5149127743387732, 'overall_f1': 0.47164948453608246, 'overall_accuracy': 0.6519270865589067}
			------------EPOCH 30---------------
Loss: tensor(15.9348, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.4645, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.0000, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.5715, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.7872, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.3786, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.2848, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.5684, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.9972, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.7932, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.7247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.5433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.9971, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.5136, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.6880, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.2300, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.3679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.8747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.9451, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.3914, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.9036, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.6894, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.8660, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.7954, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.8603, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.3578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.4478, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4133, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.2488, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4358974358974359, 'recall': 0.41975308641975306, 'f1': 0.4276729559748428, 'number': 891}, 'P': {'precision': 0.42936951316839583, 'recall': 0.6072234762979684, 'f1': 0.5030388031790557, 'number': 886}, 'overall_precision': 0.43202273803884417, 'overall_recall': 0.5132245357343838, 'overall_f1': 0.46913580246913583, 'overall_accuracy': 0.6511426271133957}


		-------------RUN 4-----------
			------------EPOCH 1---------------
Loss: tensor(3127.2605, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2518.3032, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3182.8662, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3034.4180, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3212.1636, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3393.0654, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2533.1997, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4627.6133, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2590.1477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3150.2053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2430.4497, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1135.1747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2334.6494, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2827.1387, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2917.4568, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4505.8955, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3436.5493, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3066.0854, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1250.1661, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1813.7792, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2636.2104, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6041.5361, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3802.0923, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1507.4908, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1553.3787, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1493.0554, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1649.5034, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2131.8772, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2199.9810, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.062034739454094295, 'recall': 0.07530120481927711, 'f1': 0.06802721088435373, 'number': 664}, 'P': {'precision': 0.03219315895372234, 'recall': 0.016967126193001062, 'f1': 0.022222222222222227, 'number': 943}, 'overall_precision': 0.05065234075211052, 'overall_recall': 0.04107031736154325, 'overall_f1': 0.04536082474226804, 'overall_accuracy': 0.4317243095297338}
			------------EPOCH 2---------------
Loss: tensor(2332.4470, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1861.3125, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2461.9434, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2138.0073, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2455.4302, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2668.2646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1991.0594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3639.8669, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2028.6838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2477.6719, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1953.8456, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(922.9047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2003.1077, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2348.7532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2405.2227, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3876.2578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3072.0220, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2757.5989, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1008.4921, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1465.8834, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2175.8943, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5146.8203, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3056.7522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1276.1899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1275.6489, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1317.2667, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1429.7726, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1861.2059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1979.3557, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.09297725024727992, 'recall': 0.14156626506024098, 'f1': 0.11223880597014926, 'number': 664}, 'P': {'precision': 0.12186379928315412, 'recall': 0.07211028632025451, 'f1': 0.09060626249167224, 'number': 943}, 'overall_precision': 0.10325047801147227, 'overall_recall': 0.10080896079651525, 'overall_f1': 0.10201511335012593, 'overall_accuracy': 0.49129136601144563}
			------------EPOCH 3---------------
Loss: tensor(1932.6017, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1677.3491, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2115.7354, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1864.0581, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2021.9419, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2317.4529, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1565.5847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3092.6738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1803.1039, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2196.8965, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1738.0499, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(808.4603, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1747.2339, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1824.9340, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2033.1875, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3343.0244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2499.8589, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2167.7202, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(842.1329, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1251.7277, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1863.8921, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4542.0635, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2607.2297, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1129.0366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1012.4651, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1087.4244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1102.7760, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1504.4753, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1699.5242, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.12299854439592431, 'recall': 0.2545180722891566, 'f1': 0.16584887144259075, 'number': 664}, 'P': {'precision': 0.39255014326647564, 'recall': 0.14528101802757157, 'f1': 0.21207430340557276, 'number': 943}, 'overall_precision': 0.1775972141613465, 'overall_recall': 0.19041692594897325, 'overall_f1': 0.1837837837837838, 'overall_accuracy': 0.49967653645185367}
			------------EPOCH 4---------------
Loss: tensor(1650.8196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1493.5048, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1748.8147, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1623.2805, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1720.0239, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2034.7236, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1350.9822, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2733.7903, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1651.4673, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1740.3904, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1428.3413, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(680.2944, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1454.1338, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1503.2646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1714.9275, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2816.5500, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2138.1406, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1824.1597, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(698.8372, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1028.9795, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1529.0564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3824.1455, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2086.0688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(972.6498, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(825.2368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(920.7935, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(914.8619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1303.5168, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1388.0863, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.1456848772763262, 'recall': 0.27710843373493976, 'f1': 0.1909704203425013, 'number': 664}, 'P': {'precision': 0.43902439024390244, 'recall': 0.17179215270413573, 'f1': 0.24695121951219515, 'number': 943}, 'overall_precision': 0.21200980392156862, 'overall_recall': 0.21530802738021157, 'overall_f1': 0.21364618709478234, 'overall_accuracy': 0.5220452848967405}
			------------EPOCH 5---------------
Loss: tensor(1453.0767, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1313.1534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1517.6477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1383.9491, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1436.9705, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1686.9836, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1113.7997, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2299.2859, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1369.0522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1307.3408, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1132.2842, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(528.9797, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1118.4102, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1251.0160, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1474.9911, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2419.5989, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1824.3845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1582.8521, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(527.6762, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(789.4315, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1211.9237, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3111.7261, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1511.0234, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(797.3303, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(650.3217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(799.6088, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(687.1273, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1065.8318, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1066.7263, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.1583949313621964, 'recall': 0.22590361445783133, 'f1': 0.18621973929236496, 'number': 664}, 'P': {'precision': 0.44153846153846155, 'recall': 0.30434782608695654, 'f1': 0.36032642812303833, 'number': 943}, 'overall_precision': 0.2736380713838447, 'overall_recall': 0.2719352831362788, 'overall_f1': 0.27278401997503116, 'overall_accuracy': 0.5909181388405076}
			------------EPOCH 6---------------
Loss: tensor(1238.4050, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1034.2063, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1262.3228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1001.7392, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1150.0486, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1332.6438, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(836.2018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1661.5929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1196.2283, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1020.0327, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(856.3901, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(406.2737, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1003.5276, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1101.6611, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1349.3234, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2081.8066, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1483.9564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1359.4509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(409.1391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(628.8879, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1184.3239, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2688.1082, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1165.9427, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(759.4288, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(553.6121, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(810.4421, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(585.7102, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(980.8154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1044.9543, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.1945392491467577, 'recall': 0.0858433734939759, 'f1': 0.11912225705329153, 'number': 664}, 'P': {'precision': 0.4406934306569343, 'recall': 0.5121951219512195, 'f1': 0.47376164786660124, 'number': 943}, 'overall_precision': 0.38876889848812096, 'overall_recall': 0.33602986932171747, 'overall_f1': 0.3604806408544727, 'overall_accuracy': 0.6201542672306544}
			------------EPOCH 7---------------
Loss: tensor(1523.6497, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1123.5162, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1542.7968, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1006.7006, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1125.5908, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1341.8618, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(882.8257, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1794.3492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(962.6055, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(796.8379, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(702.0973, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(369.3217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1090.6006, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1165.4590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1383.8225, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1885.9531, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1910.4114, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1693.4075, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(509.2678, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(847.3344, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1500.6938, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2936.7280, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1383.8225, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(882.3417, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(653.4986, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(771.4697, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(504.1297, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(829.4470, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1574.3627, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.23958333333333334, 'recall': 0.10391566265060241, 'f1': 0.14495798319327732, 'number': 664}, 'P': {'precision': 0.41442006269592474, 'recall': 0.7009544008483564, 'f1': 0.5208825847123719, 'number': 943}, 'overall_precision': 0.3876792352628784, 'overall_recall': 0.4542626011200996, 'overall_f1': 0.4183381088825215, 'overall_accuracy': 0.6073401343617816}
			------------EPOCH 8---------------
Loss: tensor(1942.8634, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1617.9215, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2228.3879, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1432.2129, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1572.9653, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2335.5732, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1345.7930, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2815.6440, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1143.4470, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1450.9316, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1263.2290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(635.8992, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1065.6239, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1289.1318, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1378.0024, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1978.4951, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1747.2017, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1564.9329, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(606.7860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(827.3633, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1310.5690, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3094.0845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1577.8058, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(776.7150, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(712.9753, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(766.2161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(848.0491, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1179.6553, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1039.7986, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.25506638714185886, 'recall': 0.5496987951807228, 'f1': 0.3484486873508354, 'number': 664}, 'P': {'precision': 0.5694117647058824, 'recall': 0.256627783669141, 'f1': 0.3538011695906433, 'number': 943}, 'overall_precision': 0.3270474137931034, 'overall_recall': 0.3777224642190417, 'overall_f1': 0.3505630955818654, 'overall_accuracy': 0.5743219706394626}
			------------EPOCH 9---------------
Loss: tensor(1201.6041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(987.2697, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1130.9901, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1156.8840, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1221.7993, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1334.4954, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(886.2141, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1732.8308, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(951.7876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(868.2908, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(715.1510, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(367.3620, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(837.8029, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1021.8786, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1136.6560, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1431.6283, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1216.0449, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1183.2202, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(343.2499, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(434.1551, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(797.5400, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1760.0571, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(719.2025, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(486.9922, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(399.8100, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(455.3209, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(336.7794, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(563.7607, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(597.3625, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.35444947209653094, 'recall': 0.3539156626506024, 'f1': 0.35418236623963834, 'number': 664}, 'P': {'precision': 0.5254237288135594, 'recall': 0.6574761399787911, 'f1': 0.5840791333019312, 'number': 943}, 'overall_precision': 0.4639175257731959, 'overall_recall': 0.5320472930927194, 'overall_f1': 0.4956521739130435, 'overall_accuracy': 0.6755162975864643}
			------------EPOCH 10---------------
Loss: tensor(855.9636, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(696.1176, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(900.7664, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(684.9758, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(996.5950, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1102.8665, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(575.2156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1225.7898, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(614.0876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(572.0688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(562.9177, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(319.0958, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(511.1761, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(970.0271, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(909.2280, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1039.5160, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(755.5962, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(873.1972, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(230.8744, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(327.0135, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(711.7280, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1589.9050, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(506.2115, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(475.9557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(465.2660, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(460.2781, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(294.0520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(452.7268, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(608.6095, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3242087254063302, 'recall': 0.5707831325301205, 'f1': 0.4135297326786689, 'number': 664}, 'P': {'precision': 0.5583524027459954, 'recall': 0.5174973488865323, 'f1': 0.5371491469455146, 'number': 943}, 'overall_precision': 0.4243759177679883, 'overall_recall': 0.5395146235220909, 'overall_f1': 0.47506849315068495, 'overall_accuracy': 0.6514307041552625}
			------------EPOCH 11---------------
Loss: tensor(705.1121, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(621.2150, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(717.4879, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(604.8805, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(730.6769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(833.5310, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(422.9365, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(844.6013, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(459.6789, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(514.7830, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(440.0526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(265.0526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(375.5929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(731.5019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(629.8980, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(963.5865, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(701.4856, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(711.0818, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(221.2382, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(229.8916, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(518.4426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1317.9797, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(495.9662, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(310.4971, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(319.2956, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(339.2473, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(209.4605, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(347.9637, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(439.8719, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3146341463414634, 'recall': 0.5828313253012049, 'f1': 0.4086589229144668, 'number': 664}, 'P': {'precision': 0.5923836389280677, 'recall': 0.44538706256627786, 'f1': 0.5084745762711864, 'number': 943}, 'overall_precision': 0.4161939143888602, 'overall_recall': 0.5021779713752333, 'overall_f1': 0.45516074450084604, 'overall_accuracy': 0.6489425230156756}
			------------EPOCH 12---------------
Loss: tensor(535.9453, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(420.7695, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(525.7971, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(401.5557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(569.3909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(550.1204, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(340.4293, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(609.1564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(313.7784, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(363.5945, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(281.3988, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(137.6876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(252.1078, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(469.7953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(523.6528, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(465.5365, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(482.3716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(509.8486, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(137.1625, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(146.4068, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(369.4016, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(893.7665, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(257.9749, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(213.5987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(186.6501, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(221.6461, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(154.9595, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(251.4588, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(290.2796, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3537787513691128, 'recall': 0.4864457831325301, 'f1': 0.40963855421686746, 'number': 664}, 'P': {'precision': 0.5680655066530195, 'recall': 0.5885471898197243, 'f1': 0.578125, 'number': 943}, 'overall_precision': 0.46455026455026455, 'overall_recall': 0.5463596764156814, 'overall_f1': 0.5021446954532457, 'overall_accuracy': 0.6925852202040309}
			------------EPOCH 13---------------
Loss: tensor(374.6707, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(311.3931, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(400.3152, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(275.9608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(411.4067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(310.7483, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(229.2303, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(412.8460, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(227.2674, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(195.9755, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(197.7643, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.3630, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(233.2731, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(404.6675, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(345.3692, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(298.9210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(411.2161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(376.0431, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.3719, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(99.6665, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(213.0739, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(557.0359, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(177.1794, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(121.0552, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(129.6173, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(132.2833, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(137.6460, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(154.0354, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(206.4357, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.35060975609756095, 'recall': 0.5195783132530121, 'f1': 0.41868932038834955, 'number': 664}, 'P': {'precision': 0.5663430420711975, 'recall': 0.5567338282078473, 'f1': 0.5614973262032086, 'number': 943}, 'overall_precision': 0.4552590266875981, 'overall_recall': 0.5413814561294338, 'overall_f1': 0.4945992040932348, 'overall_accuracy': 0.6789251057476985}
			------------EPOCH 14---------------
Loss: tensor(270.7748, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(227.3820, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(303.5315, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(209.9912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(310.9795, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(231.0224, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(186.3536, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(292.5312, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.0759, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(132.9394, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.7544, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.2884, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(130.9531, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(255.1513, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(239.0795, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(207.9716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(312.6654, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(277.8997, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.9448, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.6050, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(134.4368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(398.0680, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(123.3501, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.5002, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(105.1903, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(104.0472, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.4125, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(112.2779, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(147.2623, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3392857142857143, 'recall': 0.5436746987951807, 'f1': 0.41782407407407407, 'number': 664}, 'P': {'precision': 0.5399543378995434, 'recall': 0.5015906680805938, 'f1': 0.520065970313359, 'number': 943}, 'overall_precision': 0.4298969072164949, 'overall_recall': 0.5189794648413192, 'overall_f1': 0.4702565548350719, 'overall_accuracy': 0.6698930082109977}
			------------EPOCH 15---------------
Loss: tensor(174.7672, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(171.5580, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(221.4882, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.3675, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(234.4643, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(180.9009, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(155.0023, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(212.1157, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(121.9958, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(94.4751, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(113.0045, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.4712, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(91.8667, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(208.9190, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(156.3642, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.9270, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(252.7016, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(235.6711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.6656, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.4336, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(108.4290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(314.9888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(97.5805, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.1193, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.2901, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.5714, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.8642, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.9190, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.3804, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3474128827877508, 'recall': 0.4954819277108434, 'f1': 0.4084419615145872, 'number': 664}, 'P': {'precision': 0.5264187866927593, 'recall': 0.5705196182396607, 'f1': 0.5475826972010178, 'number': 943}, 'overall_precision': 0.44032503809040124, 'overall_recall': 0.5395146235220909, 'overall_f1': 0.4848993288590604, 'overall_accuracy': 0.6815625777556606}
			------------EPOCH 16---------------
Loss: tensor(133.5671, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(134.2480, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(162.2110, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(134.0206, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(159.6091, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(136.0271, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.0077, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(166.3523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(104.1478, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.8709, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.0125, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.6048, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.5116, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(131.2839, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(119.2362, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(145.5076, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(197.7295, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(203.2006, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.4188, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.6309, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.0576, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(243.2594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.8665, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.4558, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.3192, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.6101, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.2426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.0191, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.6015, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.34706959706959706, 'recall': 0.5707831325301205, 'f1': 0.43166287015945326, 'number': 664}, 'P': {'precision': 0.5189732142857143, 'recall': 0.4931071049840933, 'f1': 0.5057096247960849, 'number': 943}, 'overall_precision': 0.4245472837022133, 'overall_recall': 0.5252022401991289, 'overall_f1': 0.4695410292072323, 'overall_accuracy': 0.6670067180890769}
			------------EPOCH 17---------------
Loss: tensor(105.5476, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.8364, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.1469, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(111.9474, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(123.5543, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.5411, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(91.9318, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(136.1868, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.4269, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.2074, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.2287, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.5595, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.5720, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(107.5467, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.3568, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(130.3583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(177.8583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(178.1211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.8684, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.6126, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.3018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(206.5616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.2520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.6451, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.3026, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.4250, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.1396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.5600, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.2819, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.359375, 'recall': 0.5195783132530121, 'f1': 0.4248768472906404, 'number': 664}, 'P': {'precision': 0.5203171456888008, 'recall': 0.5567338282078473, 'f1': 0.5379098360655739, 'number': 943}, 'overall_precision': 0.4418486541391569, 'overall_recall': 0.5413814561294338, 'overall_f1': 0.48657718120805366, 'overall_accuracy': 0.6847972132371236}
			------------EPOCH 18---------------
Loss: tensor(77.6733, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.1002, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.6324, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.9613, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.4525, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.7316, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.4523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(122.8194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.3127, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.8958, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.7680, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.8395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.4228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.9173, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.5892, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(119.6182, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(161.6945, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(151.9473, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.8166, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.8488, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.9774, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(172.7290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.1750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.3527, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.1369, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.2562, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.4969, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.5937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.8625, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.35410764872521244, 'recall': 0.5647590361445783, 'f1': 0.4352872896111433, 'number': 664}, 'P': {'precision': 0.5238600212089077, 'recall': 0.5238600212089077, 'f1': 0.5238600212089077, 'number': 943}, 'overall_precision': 0.4340659340659341, 'overall_recall': 0.5407591785936527, 'overall_f1': 0.4815738431698532, 'overall_accuracy': 0.674993779547151}
			------------EPOCH 19---------------
Loss: tensor(63.6569, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.3631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.3074, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.1317, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.9853, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.6612, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.1665, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(110.4190, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.1204, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.6840, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.6218, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.5803, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.7210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(77.6085, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.1921, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(112.7905, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(148.7772, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(133.5396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.9732, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.6115, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.5566, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(141.1462, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.5179, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.7204, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.4845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.3684, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.5417, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.1460, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.1258, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3526570048309179, 'recall': 0.5496987951807228, 'f1': 0.429664508534432, 'number': 664}, 'P': {'precision': 0.5169927909371782, 'recall': 0.5323435843054083, 'f1': 0.5245559038662486, 'number': 943}, 'overall_precision': 0.4322033898305085, 'overall_recall': 0.5395146235220909, 'overall_f1': 0.47993357320786056, 'overall_accuracy': 0.6772082607613834}
			------------EPOCH 20---------------
Loss: tensor(54.8490, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.7773, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.8093, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.2346, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.2358, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.0457, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.1385, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(102.7756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.0173, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.5986, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.5315, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.3593, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.2145, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.8077, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.0730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(107.0013, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.7771, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.8029, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.9509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.8878, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.1799, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(121.8551, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.0054, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.7339, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.1519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.6973, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.5810, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.2511, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.9270, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3564638783269962, 'recall': 0.5647590361445783, 'f1': 0.4370629370629371, 'number': 664}, 'P': {'precision': 0.5113871635610766, 'recall': 0.5238600212089077, 'f1': 0.5175484546883186, 'number': 943}, 'overall_precision': 0.43062438057482655, 'overall_recall': 0.5407591785936527, 'overall_f1': 0.47944827586206895, 'overall_accuracy': 0.6763871609853197}
			------------EPOCH 21---------------
Loss: tensor(48.6151, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.7453, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.9247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.8244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.0800, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.1705, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.0505, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.0854, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.4316, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.2205, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.7908, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.3112, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.2382, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.8669, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.7950, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.0396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(127.6723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.3833, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.7280, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.3225, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.8027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(104.6597, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.3612, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.9140, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.5094, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.3433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.0854, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.7792, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.6452, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.35700934579439253, 'recall': 0.5753012048192772, 'f1': 0.4405997693194925, 'number': 664}, 'P': {'precision': 0.5201698513800425, 'recall': 0.5196182396606575, 'f1': 0.5198938992042439, 'number': 943}, 'overall_precision': 0.43339960238568587, 'overall_recall': 0.5426260112009956, 'overall_f1': 0.48190107764575846, 'overall_accuracy': 0.6733266981836278}
			------------EPOCH 22---------------
Loss: tensor(44.8496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.4304, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.9747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.7675, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.4505, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.2626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.7710, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.1671, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.2276, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.4392, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.9853, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.4499, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.2780, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.0077, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.6455, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(92.9147, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(116.2896, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(97.6289, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.0298, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.3126, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.2718, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.6246, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.9588, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.5459, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.2851, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.0879, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.9855, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.5751, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.3432, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3563327032136106, 'recall': 0.5677710843373494, 'f1': 0.437862950058072, 'number': 664}, 'P': {'precision': 0.5260416666666666, 'recall': 0.5355249204665959, 'f1': 0.5307409353652128, 'number': 943}, 'overall_precision': 0.4370664023785927, 'overall_recall': 0.5488487865588052, 'overall_f1': 0.48662068965517247, 'overall_accuracy': 0.6737994526001493}
			------------EPOCH 23---------------
Loss: tensor(42.5137, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.9782, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.0117, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.9743, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.2039, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.3869, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.9935, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.6175, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.7025, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.5802, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.1072, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.1402, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.0920, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.7199, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.9283, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.5658, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(105.1409, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.6758, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.7922, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.6516, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.2945, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.3637, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.2206, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.2151, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.3872, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.7536, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.2313, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.8882, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.9785, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.35830931796349663, 'recall': 0.5617469879518072, 'f1': 0.4375366568914956, 'number': 664}, 'P': {'precision': 0.5394190871369294, 'recall': 0.5514316012725344, 'f1': 0.5453592029365496, 'number': 943}, 'overall_precision': 0.4453865336658354, 'overall_recall': 0.5556938394523958, 'overall_f1': 0.49446290143964566, 'overall_accuracy': 0.6797959691465538}
			------------EPOCH 24---------------
Loss: tensor(39.3571, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.7426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.5302, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.4054, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.3238, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.7702, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.8088, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.0314, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.6443, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.6561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.6541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.9084, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.0622, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.3859, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.2836, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.3750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.5021, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.0455, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.8771, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.8201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.4777, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.0637, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.4966, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.0819, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.2034, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.7765, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.0839, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.2123, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.3795, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3506849315068493, 'recall': 0.5783132530120482, 'f1': 0.4366117111995452, 'number': 664}, 'P': {'precision': 0.538788522848034, 'recall': 0.5376458112407211, 'f1': 0.538216560509554, 'number': 943}, 'overall_precision': 0.43762278978388996, 'overall_recall': 0.5544492843808339, 'overall_f1': 0.4891572879494922, 'overall_accuracy': 0.6727544165215228}
			------------EPOCH 25---------------
Loss: tensor(38.0388, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.9560, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.3077, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.7001, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.8168, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.7875, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.8252, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.5336, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.3608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.3097, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.6145, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.1643, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.7480, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.8035, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(90.5390, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.8329, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.1259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5482, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.3118, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.3740, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.3509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.2452, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.5604, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.8828, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.1883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.1819, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.7259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8760, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3568702290076336, 'recall': 0.5632530120481928, 'f1': 0.43691588785046725, 'number': 664}, 'P': {'precision': 0.5384615384615384, 'recall': 0.5567338282078473, 'f1': 0.5474452554744526, 'number': 943}, 'overall_precision': 0.444389520514088, 'overall_recall': 0.5594275046670815, 'overall_f1': 0.49531680440771353, 'overall_accuracy': 0.6796217964667828}
			------------EPOCH 26---------------
Loss: tensor(34.5766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.3550, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.2933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.3041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.3993, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.0139, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.3079, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.5123, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2717, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.0453, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.1402, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.7408, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.5803, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.5861, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.4006, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.3211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.7929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.0029, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.7603, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.4161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.4221, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.4220, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.6205, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.8046, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.0682, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4825, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.1035, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4221, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.35865384615384616, 'recall': 0.5617469879518072, 'f1': 0.437793427230047, 'number': 664}, 'P': {'precision': 0.5350966429298067, 'recall': 0.5577942735949099, 'f1': 0.5462097611630322, 'number': 943}, 'overall_precision': 0.444389520514088, 'overall_recall': 0.5594275046670815, 'overall_f1': 0.49531680440771353, 'overall_accuracy': 0.679572032843991}
			------------EPOCH 27---------------
Loss: tensor(28.9753, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.1776, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.4396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.0075, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.4742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.2320, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.9962, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.9691, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.0465, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.5771, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.5310, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.1275, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.9432, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.2474, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.7322, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.6618, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.4697, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.3984, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.9022, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.7537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.4550, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.5140, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.2266, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.0469, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.8023, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.0770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.0340, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.1606, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.9682, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3546845124282983, 'recall': 0.5587349397590361, 'f1': 0.43391812865497076, 'number': 664}, 'P': {'precision': 0.5382262996941896, 'recall': 0.559915164369035, 'f1': 0.5488565488565488, 'number': 943}, 'overall_precision': 0.4435125801677356, 'overall_recall': 0.5594275046670815, 'overall_f1': 0.4947716015410016, 'overall_accuracy': 0.6803931326200547}
			------------EPOCH 28---------------
Loss: tensor(25.6913, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.2221, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9961, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.3692, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.7285, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.5239, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.3529, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.7554, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.0602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.8565, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.4126, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.7456, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.8009, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.2175, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.3573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.8860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.6193, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.1198, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.1951, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.1827, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.2985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.5287, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.5607, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.3847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.3837, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.2651, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.4772, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.6244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.3095, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.35890151515151514, 'recall': 0.5707831325301205, 'f1': 0.44069767441860463, 'number': 664}, 'P': {'precision': 0.5331294597349643, 'recall': 0.5546129374337222, 'f1': 0.5436590436590437, 'number': 943}, 'overall_precision': 0.4428080510554737, 'overall_recall': 0.5612943372744243, 'overall_f1': 0.4950603732162459, 'overall_accuracy': 0.6792485692958448}
			------------EPOCH 29---------------
Loss: tensor(23.0530, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.8218, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.9078, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.6642, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.6750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.4279, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.6149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.7829, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6622, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.2662, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.5673, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.6830, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.0508, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.9813, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.1336, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.7951, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.6140, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.0633, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.6750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.7918, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.0924, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.0198, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.9132, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.7939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.0767, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.0772, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.0032, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.3048, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.352326685660019, 'recall': 0.5587349397590361, 'f1': 0.4321490972626675, 'number': 664}, 'P': {'precision': 0.5319587628865979, 'recall': 0.5471898197242842, 'f1': 0.5394668060637741, 'number': 943}, 'overall_precision': 0.4384577360355907, 'overall_recall': 0.55196017423771, 'overall_f1': 0.4887052341597796, 'overall_accuracy': 0.6777058969893008}
			------------EPOCH 30---------------
Loss: tensor(21.4351, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.9705, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.7264, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.1462, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.0452, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.8460, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.0150, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.9319, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.9040, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.5951, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.5863, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4070, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.7338, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.5901, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.3916, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.1034, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.1599, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.1163, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.1149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.1033, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.9826, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.1230, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.1029, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.5999, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.2939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3829, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.2922, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.3958, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3580827067669173, 'recall': 0.5737951807228916, 'f1': 0.44097222222222227, 'number': 664}, 'P': {'precision': 0.5302083333333333, 'recall': 0.5397667020148462, 'f1': 0.534944823962165, 'number': 943}, 'overall_precision': 0.4397233201581028, 'overall_recall': 0.5538270068450529, 'overall_f1': 0.4902230790415864, 'overall_accuracy': 0.6758148793232147}


		-------------RUN 5-----------
			------------EPOCH 1---------------
Loss: tensor(3163.3232, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1974.8970, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8081.4058, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5153.7559, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1413.4529, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2013.8938, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2070.3247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2521.6963, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3351.5701, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2340.8562, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2305.0691, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3099.6699, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4849.2500, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1037.6135, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2151.5928, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1493.9939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2644.2388, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2712.4292, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1345.2629, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1669.6136, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1223.1509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1734.8392, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2100.4780, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1943.0137, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2458.3901, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3974.2268, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2842.6079, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1260.3385, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1104.6633, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.25, 'recall': 0.007042253521126761, 'f1': 0.013698630136986302, 'number': 852}, 'P': {'precision': 0.004405286343612335, 'recall': 0.0008968609865470852, 'f1': 0.0014903129657228016, 'number': 1115}, 'overall_precision': 0.027888446215139442, 'overall_recall': 0.0035587188612099642, 'overall_f1': 0.0063119927862939585, 'overall_accuracy': 0.44262400548991016}
			------------EPOCH 2---------------
Loss: tensor(2052.6501, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1302.3590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5550.5449, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3374.3132, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1222.8982, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1365.8528, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1462.2263, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1699.8854, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2256.1504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1680.8812, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1858.3635, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2148.1304, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3587.7068, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(850.0242, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1700.5154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1217.3759, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2317.6626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2261.4014, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1238.2402, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1450.2229, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1057.8445, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1395.7189, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1682.3195, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1634.9915, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2146.7136, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3427.7896, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2465.9561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1119.7174, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(940.0917, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.22797927461139897, 'recall': 0.051643192488262914, 'f1': 0.08421052631578947, 'number': 852}, 'P': {'precision': 0.20195729537366547, 'recall': 0.20358744394618833, 'f1': 0.2027690933452434, 'number': 1115}, 'overall_precision': 0.20577069096431283, 'overall_recall': 0.13777325876970006, 'overall_f1': 0.16504263093788063, 'overall_accuracy': 0.5466320687954365}
			------------EPOCH 3---------------
Loss: tensor(1910.1138, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1155.6243, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4702.6943, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2757.8818, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1034.1514, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1396.0562, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1422.8787, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1681.0701, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1972.4072, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1380.1497, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1533.2609, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1840.1281, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3193.2363, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(741.7828, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1361.4247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(997.7991, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1788.9325, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1885.1953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1013.8701, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1252.6823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(904.5542, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1167.3298, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1368.1077, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1366.8044, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1818.9789, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2902.6406, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2176.6602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(937.1213, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(829.1720, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.27086614173228346, 'recall': 0.20187793427230047, 'f1': 0.23133826496301277, 'number': 852}, 'P': {'precision': 0.3423728813559322, 'recall': 0.36233183856502243, 'f1': 0.3520697167755991, 'number': 1115}, 'overall_precision': 0.31735537190082647, 'overall_recall': 0.29283172343670566, 'overall_f1': 0.3046007403490217, 'overall_accuracy': 0.5958053655293689}
			------------EPOCH 4---------------
Loss: tensor(1783.1416, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1064.3966, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3960.5249, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2172.7537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(896.9713, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1202.9041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1184.4076, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1447.8342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1698.2844, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1158.1382, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1306.6343, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1504.9398, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2728.9448, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(660.5773, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1170.3207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(840.2670, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1457.5320, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1601.1124, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(864.9492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1074.5128, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(804.6311, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(945.9200, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1173.8970, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1151.5682, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1632.1926, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2399.6589, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1981.0586, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(808.7191, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(691.5206, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.2404274265360641, 'recall': 0.31690140845070425, 'f1': 0.27341772151898736, 'number': 852}, 'P': {'precision': 0.42191780821917807, 'recall': 0.27623318385650225, 'f1': 0.33387533875338754, 'number': 1115}, 'overall_precision': 0.3119266055045872, 'overall_recall': 0.2938485002541942, 'overall_f1': 0.3026178010471204, 'overall_accuracy': 0.5785850614398147}
			------------EPOCH 5---------------
Loss: tensor(1522.0475, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(978.2198, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3493.9287, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1814.9384, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(799.9827, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(815.4471, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(816.5176, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1023.3815, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1385.5992, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(959.2529, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1148.4841, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1150.0441, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2432.5955, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(650.8346, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1056.6025, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(670.3217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1164.0076, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1427.1747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(712.3754, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(943.6307, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(643.4266, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(752.4222, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(980.3867, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1026.3921, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1378.2827, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2011.8253, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1603.2754, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(652.6291, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(589.5225, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.2287145242070117, 'recall': 0.3215962441314554, 'f1': 0.2673170731707317, 'number': 852}, 'P': {'precision': 0.42722117202268434, 'recall': 0.20269058295964126, 'f1': 0.2749391727493917, 'number': 1115}, 'overall_precision': 0.2895193977996526, 'overall_recall': 0.2541942043721403, 'overall_f1': 0.2707092582566324, 'overall_accuracy': 0.5548454890523471}
			------------EPOCH 6---------------
Loss: tensor(1422.2261, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1022.2844, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3417.5376, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1652.9120, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(806.5073, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(593.3535, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(615.4664, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(797.9265, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1148.4639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(773.1909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(923.0061, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1000.3293, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1944.3645, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(487.4959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(861.7709, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(469.2039, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1053.0959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1379.8278, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(656.7646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(940.5446, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(641.9807, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(765.9734, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1078.6304, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1140.0980, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1491.1433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2581.0747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1677.2407, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(802.5857, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(585.0001, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.21490750816104462, 'recall': 0.4636150234741784, 'f1': 0.2936802973977695, 'number': 852}, 'P': {'precision': 0.4686192468619247, 'recall': 0.20089686098654708, 'f1': 0.2812303829252982, 'number': 1115}, 'overall_precision': 0.26727115716753025, 'overall_recall': 0.3146924250127097, 'overall_f1': 0.2890497314966145, 'overall_accuracy': 0.5257017863652935}
			------------EPOCH 7---------------
Loss: tensor(1539.2605, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1026.1804, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2971.9763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1393.8636, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(586.3065, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(476.7777, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(463.0873, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(616.0466, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(990.8405, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(700.1674, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(836.8278, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(874.1484, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1903.5564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(436.6224, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(825.7142, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(490.0563, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1104.2253, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1119.5160, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(663.8290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(792.3513, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(542.7423, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(660.9531, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(888.5883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(890.4452, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1201.9082, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1780.2490, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1290.5176, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(548.3729, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(432.6767, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.41130298273155413, 'recall': 0.3075117370892019, 'f1': 0.3519140362659503, 'number': 852}, 'P': {'precision': 0.42481456507080245, 'recall': 0.5650224215246636, 'f1': 0.4849884526558891, 'number': 1115}, 'overall_precision': 0.4207547169811321, 'overall_recall': 0.45348246059989833, 'overall_f1': 0.4365059946170785, 'overall_accuracy': 0.6733503463361283}
			------------EPOCH 8---------------
Loss: tensor(1103.8704, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(901.3408, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2612.7246, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1302.4152, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(530.7415, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(330.5044, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(364.3272, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(466.8085, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(786.7897, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(502.5708, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(607.8549, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(667.8977, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1782.9939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(442.8406, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(795.5781, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(410.4531, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1062.6394, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1247.6619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(594.7294, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(659.2278, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(374.4702, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(583.9884, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(792.2463, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(748.9498, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(981.4930, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1232.8955, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(904.4088, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(339.7582, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(318.4642, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4086294416243655, 'recall': 0.18896713615023475, 'f1': 0.25842696629213485, 'number': 852}, 'P': {'precision': 0.34443168771526983, 'recall': 0.5381165919282511, 'f1': 0.4200210010500526, 'number': 1115}, 'overall_precision': 0.3562734082397004, 'overall_recall': 0.3868835790543976, 'overall_f1': 0.37094808676578117, 'overall_accuracy': 0.6439493041109992}
			------------EPOCH 9---------------
Loss: tensor(1104.4636, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(918.7301, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2303.9092, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1070.7644, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(642.8822, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(320.6559, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(447.5997, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(537.7632, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(594.0238, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(431.7458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(515.5068, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(527.8191, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1259.6300, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(268.4076, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(585.4231, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(276.5310, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(726.7990, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(812.9658, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(412.1234, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(542.9884, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(300.7183, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(419.6042, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(633.7678, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(633.7095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(931.1425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1120.5596, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(833.6207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(292.5357, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(295.0076, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3226765799256506, 'recall': 0.5093896713615024, 'f1': 0.39508420573509334, 'number': 852}, 'P': {'precision': 0.5290322580645161, 'recall': 0.4412556053811659, 'f1': 0.48117359413202937, 'number': 1115}, 'overall_precision': 0.40703296703296704, 'overall_recall': 0.47076766649720386, 'overall_f1': 0.4365865157944366, 'overall_accuracy': 0.6463725847612104}
			------------EPOCH 10---------------
Loss: tensor(673.2551, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(552.2334, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1569.0770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(624.6900, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(397.5260, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(212.8876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(254.9197, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(292.1743, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(417.5504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(291.9998, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(338.1813, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(382.9997, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1004.8022, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(242.2381, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(475.2281, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(194.1557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(701.1779, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(626.5743, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(327.2458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(417.3231, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(261.8115, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(219.2719, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(400.5550, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(460.3044, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(665.1965, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(698.6150, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(520.1059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(200.2540, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(203.4629, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.33685003767897514, 'recall': 0.5246478873239436, 'f1': 0.41027994492886644, 'number': 852}, 'P': {'precision': 0.5976095617529881, 'recall': 0.40358744394618834, 'f1': 0.4817987152034262, 'number': 1115}, 'overall_precision': 0.43125, 'overall_recall': 0.4560244026436197, 'overall_f1': 0.4432913269088214, 'overall_accuracy': 0.6339559520490661}
			------------EPOCH 11---------------
Loss: tensor(598.9982, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(410.1850, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1340.0897, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(492.9101, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(289.9202, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(207.3447, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(198.9569, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(181.7825, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(349.0881, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(238.4390, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(250.1230, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(304.2220, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(739.4431, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(172.2092, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(343.9145, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(123.6085, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(461.6012, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(477.6330, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(203.0868, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(277.7953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(173.8273, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(135.5607, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(313.6034, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(340.7953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(548.6376, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(517.2701, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(368.3746, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(136.4347, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(143.4758, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4024691358024691, 'recall': 0.3826291079812207, 'f1': 0.39229843561973526, 'number': 852}, 'P': {'precision': 0.5376, 'recall': 0.6026905829596413, 'f1': 0.5682875264270613, 'number': 1115}, 'overall_precision': 0.48446601941747575, 'overall_recall': 0.507371631926792, 'overall_f1': 0.49565433325055874, 'overall_accuracy': 0.693379940383007}
			------------EPOCH 12---------------
Loss: tensor(357.6853, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(289.4673, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(860.6820, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(276.3138, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(253.2799, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(132.2205, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(142.1104, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(127.0108, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(177.9921, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(166.9265, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(209.9592, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(201.9912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(528.6937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(126.2774, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(250.9631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.3789, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(391.6904, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(295.8926, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(148.1469, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(236.1974, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(111.7467, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.5704, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(191.3157, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(232.5316, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(423.9813, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(303.7296, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(210.3983, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.7615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(106.3765, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.39713971397139713, 'recall': 0.42370892018779344, 'f1': 0.4099943214082908, 'number': 852}, 'P': {'precision': 0.5175504107542942, 'recall': 0.62152466367713, 'f1': 0.5647921760391197, 'number': 1115}, 'overall_precision': 0.46886120996441283, 'overall_recall': 0.5358413828164718, 'overall_f1': 0.5001186239620403, 'overall_accuracy': 0.6826789045913663}
			------------EPOCH 13---------------
Loss: tensor(374.7216, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(200.8368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(641.1023, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(177.2543, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(205.4591, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(115.5852, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(125.7393, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(110.7266, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(115.0090, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(121.7573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(131.1123, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(149.8076, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(324.8829, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.7901, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(171.1492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.4121, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(237.7867, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(142.1402, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(98.3564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(161.1277, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.7297, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.5915, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(134.6801, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(163.9046, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(330.3543, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(179.1836, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(175.8461, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.9019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.2003, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3793103448275862, 'recall': 0.5551643192488263, 'f1': 0.4506908051453073, 'number': 852}, 'P': {'precision': 0.6006749156355455, 'recall': 0.4789237668161435, 'f1': 0.5329341317365269, 'number': 1115}, 'overall_precision': 0.4714419475655431, 'overall_recall': 0.5119471276054905, 'overall_f1': 0.4908603460882281, 'overall_accuracy': 0.6655658253093436}
			------------EPOCH 14---------------
Loss: tensor(134.7363, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(119.7350, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(430.8457, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(129.9890, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(117.9536, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.8325, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.7595, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.7435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.7562, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(94.2846, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.8559, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.0618, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(200.4371, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.5437, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(125.4870, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.2707, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(147.2211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(92.1042, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.7517, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(106.3066, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.0088, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.4448, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(87.6969, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(113.1578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(242.5165, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(126.5481, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(127.1095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.2363, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.9676, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.40843621399176955, 'recall': 0.465962441314554, 'f1': 0.43530701754385964, 'number': 852}, 'P': {'precision': 0.5739495798319327, 'recall': 0.6125560538116592, 'f1': 0.5926247288503254, 'number': 1115}, 'overall_precision': 0.49953746530989823, 'overall_recall': 0.5490594814438231, 'overall_f1': 0.5231290869459918, 'overall_accuracy': 0.6915356736934657}
			------------EPOCH 15---------------
Loss: tensor(78.9714, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.3958, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(262.6180, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.7224, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.7116, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.5517, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.8873, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.6132, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.3664, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.4445, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.1741, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.6502, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.6473, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.1216, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(77.7660, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.6348, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(151.8275, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.1546, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.0969, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.2790, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.4021, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.5242, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.9189, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(77.6084, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(130.5903, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.9364, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.1303, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.1082, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.9801, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4115884115884116, 'recall': 0.4835680751173709, 'f1': 0.44468429573664325, 'number': 852}, 'P': {'precision': 0.5650337837837838, 'recall': 0.6, 'f1': 0.5819921705089168, 'number': 1115}, 'overall_precision': 0.49473684210526314, 'overall_recall': 0.5495678698525673, 'overall_f1': 0.5207129094412332, 'overall_accuracy': 0.6908708798867707}
			------------EPOCH 16---------------
Loss: tensor(50.5381, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.4470, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(175.4614, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.0685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.2293, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.4929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.4873, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.2951, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.0989, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.3800, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.2672, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.2994, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(113.9244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.6767, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.5266, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.1506, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.4875, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.6430, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.3417, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.2922, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.6951, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.8601, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.0541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.8327, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.2011, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.6082, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.7834, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.8108, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.3460, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3963470319634703, 'recall': 0.5093896713615024, 'f1': 0.445814072932717, 'number': 852}, 'P': {'precision': 0.5772058823529411, 'recall': 0.5632286995515695, 'f1': 0.5701316386745346, 'number': 1115}, 'overall_precision': 0.4864864864864865, 'overall_recall': 0.539908490086426, 'overall_f1': 0.5118072289156627, 'overall_accuracy': 0.6885762690055971}
			------------EPOCH 17---------------
Loss: tensor(31.5848, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.7920, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(117.6680, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.6910, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.9714, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.0077, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.1075, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.5909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.4242, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.7368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.1511, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.8628, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.6213, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.5007, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(92.2692, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.6092, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.7328, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.6590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.1740, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.7094, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.9458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.8507, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.8092, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.4982, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.9641, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.2808, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9967, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.4015670910871694, 'recall': 0.4812206572769953, 'f1': 0.4378003203416978, 'number': 852}, 'P': {'precision': 0.5681818181818182, 'recall': 0.5829596412556054, 'f1': 0.5754758742806552, 'number': 1115}, 'overall_precision': 0.4896073903002309, 'overall_recall': 0.5388917132689375, 'overall_f1': 0.5130687318489836, 'overall_accuracy': 0.6914498938474405}
			------------EPOCH 18---------------
Loss: tensor(22.4886, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.8559, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.3079, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.9934, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.3103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.1990, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.7403, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.7440, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.1346, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.6487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.6730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.3107, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.5822, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5513, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.2337, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.1541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.9094, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.9447, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.3646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.1207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.0849, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.9943, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.3651, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.4098, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.0316, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.0468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.2338, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.8026, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.7022, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.39022051773729627, 'recall': 0.47769953051643194, 'f1': 0.4295514511873351, 'number': 852}, 'P': {'precision': 0.5745422842197035, 'recall': 0.5910313901345291, 'f1': 0.5826702033598584, 'number': 1115}, 'overall_precision': 0.4867579908675799, 'overall_recall': 0.5419420437214032, 'overall_f1': 0.512869858070724, 'overall_accuracy': 0.693530055113551}
			------------EPOCH 19---------------
Loss: tensor(16.8274, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.4966, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.8118, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.3418, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.0440, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.8403, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.3478, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.8589, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.4713, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.1796, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.9296, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.4500, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.7314, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.1128, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.6653, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.3278, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.7888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.2626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9986, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.4397, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6889, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.6284, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.5121, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.4041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.3926, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.7917, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.5331, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.0143, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.388086642599278, 'recall': 0.5046948356807511, 'f1': 0.4387755102040816, 'number': 852}, 'P': {'precision': 0.5679925994449584, 'recall': 0.5506726457399103, 'f1': 0.5591985428051002, 'number': 1115}, 'overall_precision': 0.4769301050708086, 'overall_recall': 0.530757498729029, 'overall_f1': 0.5024061597690087, 'overall_accuracy': 0.6901417511955567}
			------------EPOCH 20---------------
Loss: tensor(13.7345, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.8049, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.9698, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.5174, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9055, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.7759, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.8076, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.7758, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.2319, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.2831, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.6404, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.0584, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.6503, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1882, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.5545, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7609, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.4736, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.2419, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5144, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.0304, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.6122, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.4541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9965, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5775, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.7107, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.4619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.9845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.5856, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3904761904761905, 'recall': 0.4812206572769953, 'f1': 0.4311251314405889, 'number': 852}, 'P': {'precision': 0.5627177700348432, 'recall': 0.579372197309417, 'f1': 0.5709235528060098, 'number': 1115}, 'overall_precision': 0.48043676069153773, 'overall_recall': 0.5368581596339603, 'overall_f1': 0.5070828331332532, 'overall_accuracy': 0.6941948489202462}
			------------EPOCH 21---------------
Loss: tensor(11.6280, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.2604, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.9938, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.3260, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.8993, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.8531, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3440, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.2561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.7701, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.0654, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.2148, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.7655, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.5806, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.8666, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.9196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8436, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5501, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4593, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.3892, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.7275, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3672, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.0323, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.7952, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.1778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.1299, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.0722, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8090, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.39342723004694835, 'recall': 0.49178403755868544, 'f1': 0.43714136671883147, 'number': 852}, 'P': {'precision': 0.5644171779141104, 'recall': 0.5775784753363229, 'f1': 0.5709219858156027, 'number': 1115}, 'overall_precision': 0.4818676337262013, 'overall_recall': 0.5404168784951703, 'overall_f1': 0.5094656122693506, 'overall_accuracy': 0.6946451931118783}
			------------EPOCH 22---------------
Loss: tensor(10.1097, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.4857, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.5898, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.1926, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.0207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5213, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.1470, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.8007, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8075, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3230, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8077, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.6803, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1511, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.8621, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.8092, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.7047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.1016, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.0217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6326, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.9314, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.0725, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.1841, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.5532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.2484, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.3721, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.4429, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9919, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.0170, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.388689407540395, 'recall': 0.5082159624413145, 'f1': 0.4404883011190233, 'number': 852}, 'P': {'precision': 0.5667870036101083, 'recall': 0.5632286995515695, 'f1': 0.5650022492127755, 'number': 1115}, 'overall_precision': 0.4774977497749775, 'overall_recall': 0.5394001016776817, 'overall_f1': 0.5065648126044402, 'overall_accuracy': 0.6888336085436727}
			------------EPOCH 23---------------
Loss: tensor(9.0801, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.6145, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.4427, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.0041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6600, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.3892, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.4546, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.5194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.0068, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.8963, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2878, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.9459, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.5092, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4586, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.2248, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.7050, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.6625, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6293, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6996, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.1928, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.5906, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.3842, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.7732, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.7108, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.9857, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.8002, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.6694, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3811787072243346, 'recall': 0.4706572769953052, 'f1': 0.421218487394958, 'number': 852}, 'P': {'precision': 0.5579964850615114, 'recall': 0.5695067264573991, 'f1': 0.5636928539724811, 'number': 1115}, 'overall_precision': 0.4730593607305936, 'overall_recall': 0.5266903914590747, 'overall_f1': 0.4984363723839307, 'overall_accuracy': 0.6918359031545538}
			------------EPOCH 24---------------
Loss: tensor(8.4342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.5982, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.6360, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.2960, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.4151, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3605, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.0965, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7204, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.6483, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8265, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.8706, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.2501, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.8124, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.1892, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.6729, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.6567, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1464, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.0395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.4764, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.8219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.9770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.2024, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.0009, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.0969, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.6887, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.7886, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.7945, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.4334, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.2283, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.38997214484679665, 'recall': 0.49295774647887325, 'f1': 0.4354587869362364, 'number': 852}, 'P': {'precision': 0.5675675675675675, 'recall': 0.5650224215246636, 'f1': 0.5662921348314607, 'number': 1115}, 'overall_precision': 0.48010973936899864, 'overall_recall': 0.5338078291814946, 'overall_f1': 0.5055368319691863, 'overall_accuracy': 0.69052776050267}
			------------EPOCH 25---------------
Loss: tensor(7.7572, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5809, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.2226, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.7121, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.3270, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.7261, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.3452, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.0519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1558, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.9402, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.2594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.9881, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.7247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1481, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4268, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.7867, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3462, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.9060, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.7661, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.5694, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2357, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.0903, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.2225, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.8270, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.6630, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.1568, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.8858, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.38526119402985076, 'recall': 0.4847417840375587, 'f1': 0.42931392931392937, 'number': 852}, 'P': {'precision': 0.5640107430617726, 'recall': 0.5650224215246636, 'f1': 0.564516129032258, 'number': 1115}, 'overall_precision': 0.47647327546825036, 'overall_recall': 0.5302491103202847, 'overall_f1': 0.5019249278152069, 'overall_accuracy': 0.6905063155411636}
			------------EPOCH 26---------------
Loss: tensor(7.0836, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7927, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.5746, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.7114, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.1682, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.3773, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1345, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5624, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.6883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.2662, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.4682, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.9895, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.2382, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.3907, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.9525, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.6971, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.0324, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.7891, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.3942, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.2540, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8187, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.7545, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.5480, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5708, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8121, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.1974, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.6181, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3849021435228332, 'recall': 0.4847417840375587, 'f1': 0.4290909090909091, 'number': 852}, 'P': {'precision': 0.5592163846838825, 'recall': 0.5632286995515695, 'f1': 0.5612153708668455, 'number': 1115}, 'overall_precision': 0.47404371584699456, 'overall_recall': 0.5292323335027961, 'overall_f1': 0.5001201056930099, 'overall_accuracy': 0.6910638845403273}
			------------EPOCH 27---------------
Loss: tensor(6.7562, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8029, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.9163, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.6207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.7492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.9652, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.2070, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.6443, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.2477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2652, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.8916, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.8846, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.1685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.8706, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.6916, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.4871, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.0143, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.5130, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.4065, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.0070, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.1407, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.9983, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.2803, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.3380, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7807, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6725, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1336, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.7466, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.3480, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3848314606741573, 'recall': 0.4823943661971831, 'f1': 0.428125, 'number': 852}, 'P': {'precision': 0.5564444444444444, 'recall': 0.5614349775784754, 'f1': 0.5589285714285714, 'number': 1115}, 'overall_precision': 0.4728682170542636, 'overall_recall': 0.527198779867819, 'overall_f1': 0.49855769230769237, 'overall_accuracy': 0.6920932426926294}
			------------EPOCH 28---------------
Loss: tensor(6.3432, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.1469, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8261, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6464, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4328, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.4829, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.9864, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.4422, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.8496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.9876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.4129, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.1968, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6399, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.6616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2291, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.2277, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.4876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.1231, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.1171, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.6263, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.7086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.7726, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8786, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.9911, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1609, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.9101, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.5762, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.3299, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.1127, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.38020351526364476, 'recall': 0.4823943661971831, 'f1': 0.42524573202276256, 'number': 852}, 'P': {'precision': 0.5589285714285714, 'recall': 0.5614349775784754, 'f1': 0.560178970917226, 'number': 1115}, 'overall_precision': 0.4711494775102226, 'overall_recall': 0.527198779867819, 'overall_f1': 0.49760076775431866, 'overall_accuracy': 0.6909352147712895}
			------------EPOCH 29---------------
Loss: tensor(6.0390, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.7509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.4272, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.9009, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.1692, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.1016, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.8293, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.1449, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.5717, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.6808, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.1386, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.6654, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.0985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.4719, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.6988, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.8853, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.9066, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.7147, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.8347, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.3603, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.5475, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.5796, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.5080, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.6800, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.6360, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.2081, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.1146, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.0088, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.9079, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3813953488372093, 'recall': 0.4812206572769953, 'f1': 0.425531914893617, 'number': 852}, 'P': {'precision': 0.5584299732381802, 'recall': 0.5614349775784754, 'f1': 0.559928443649374, 'number': 1115}, 'overall_precision': 0.47176684881602915, 'overall_recall': 0.5266903914590747, 'overall_f1': 0.49771799183281284, 'overall_accuracy': 0.6911067744633398}
			------------EPOCH 30---------------
Loss: tensor(5.7521, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.4649, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.1396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2664, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.9358, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.7637, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.6769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.9111, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.2535, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.4434, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.8504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.1164, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1.3422, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.2961, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.6401, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4618, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.3999, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.6292, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.0939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.6265, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.4244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.1012, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.3965, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.1787, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5467, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.6964, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2.7232, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.7126, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.3806870937790158, 'recall': 0.4812206572769953, 'f1': 0.42509072058061165, 'number': 852}, 'P': {'precision': 0.5579322638146168, 'recall': 0.5614349775784754, 'f1': 0.5596781403665624, 'number': 1115}, 'overall_precision': 0.47112323783537974, 'overall_recall': 0.5266903914590747, 'overall_f1': 0.49735957753240523, 'overall_accuracy': 0.690677875233214}
