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


		-------------RUN 1-----------
			------------EPOCH 1---------------
Loss: tensor(2989.2817, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2343.8958, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8369.6016, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4658.5371, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3878.8770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5592.1680, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1873.1858, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1395.7770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2696.4434, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2040.6852, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1427.6354, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2193.6450, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3143.4119, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1938.4541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3270.0361, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(2344.9419, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(2094.4751, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2500.2432, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(5387.4883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1537.1561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3156.1367, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(2056.1458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2484.5491, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2661.8071, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1868.8011, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1893.5891, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2291.3774, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1241.4407, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2873.7817, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1959.2590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1552.6594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2054.5254, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1330.4886, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.2054794520547945, 'recall': 0.05639097744360902, 'f1': 0.08849557522123892, 'number': 266}, 'P': {'precision': 0.10564663023679417, 'recall': 0.15303430079155672, 'f1': 0.125, 'number': 379}, 'overall_precision': 0.11736334405144695, 'overall_recall': 0.11317829457364341, 'overall_f1': 0.11523283346487767, 'overall_accuracy': 0.5697681011509894}
			------------EPOCH 2---------------
Loss: tensor(1858.7773, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1575.8840, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5541.7456, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2931.5278, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2578.7217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3807.9067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1323.9645, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1009.4946, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2198.6646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1525.1782, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1021.1492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1584.8342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2343.7866, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1713.8030, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1193.6458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1957.8545, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1578.7883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2465.0266, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1523.3258, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1842.1536, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2460.7029, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1711.0449, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2070.7651, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1837.7122, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2108.6274, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1773.2402, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2639.9028, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3536.4648, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2847.5684, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4545.0938, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1322.3918, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2500.8809, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2340.9783, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1604.7241, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1898.9875, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2208.1194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1774.2637, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1754.0120, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2116.8154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1061.5933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2506.9326, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1650.8368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1189.4883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1638.3381, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1077.1517, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.09345794392523364, 'recall': 0.03759398496240601, 'f1': 0.053619302949061656, 'number': 266}, 'P': {'precision': 0.3028169014084507, 'recall': 0.45382585751978893, 'f1': 0.3632523759239704, 'number': 379}, 'overall_precision': 0.2696296296296296, 'overall_recall': 0.28217054263565894, 'overall_f1': 0.27575757575757576, 'overall_accuracy': 0.6257866984180983}
			------------EPOCH 3---------------
Loss: tensor(1546.5103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1340.3167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4838.3882, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2325.0879, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1981.0708, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3196.2080, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1125.0652, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(872.4282, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1953.6550, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1311.4335, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(763.4560, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1243.2679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1936.9326, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1313.6154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(991.2939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1713.8782, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1316.4622, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2018.6118, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1311.5786, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1556.6248, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2147.4580, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1438.7480, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1746.3855, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1556.9351, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1753.7051, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1421.2295, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2142.3428, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2942.0532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2362.2998, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3717.1992, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1115.9149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2005.7634, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1954.2114, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1281.2708, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1495.6731, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1785.6252, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1256.0928, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1212.5825, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1520.3071, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(924.9860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2010.5957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1415.9141, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(941.1547, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1338.0430, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(898.9642, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.10491803278688525, 'recall': 0.12030075187969924, 'f1': 0.11208406304728546, 'number': 266}, 'P': {'precision': 0.4503464203233256, 'recall': 0.5145118733509235, 'f1': 0.4802955665024631, 'number': 379}, 'overall_precision': 0.3075880758807588, 'overall_recall': 0.351937984496124, 'overall_f1': 0.32827187274041936, 'overall_accuracy': 0.6524919203946249}
			------------EPOCH 4---------------
Loss: tensor(1273.9598, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1106.0322, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3973.8425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1685.5887, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1410.1533, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2510.9114, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(904.5521, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(692.6533, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1650.6324, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1141.9338, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(580.0874, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(995.1573, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(812.7760, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(771.6748, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1151.8035, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1381.5625, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1236.2014, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1471.0295, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1273.6687, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1357.7141, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1091.5636, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1439.1995, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2106.8086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1795.5415, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2965.5322, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(912.1616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1638.7664, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1588.1260, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1015.9186, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1187.7000, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1387.1899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(776.9222, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(721.7766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(979.1337, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(851.3193, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1633.0337, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1172.3893, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(683.3507, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1078.0471, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(693.9467, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.3373015873015873, 'recall': 0.31954887218045114, 'f1': 0.3281853281853282, 'number': 266}, 'P': {'precision': 0.4829059829059829, 'recall': 0.5963060686015831, 'f1': 0.5336481700118063, 'number': 379}, 'overall_precision': 0.43194444444444446, 'overall_recall': 0.4821705426356589, 'overall_f1': 0.4556776556776557, 'overall_accuracy': 0.6928048987923117}
			------------EPOCH 5---------------
Loss: tensor(1071.0157, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(902.0695, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2898.9385, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1106.6429, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(934.6859, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1926.7162, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(660.8284, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(955.1307, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(499.3411, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(632.1880, device='cuda:0', grad_fn=<DivBackward0>)
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Evaluating
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				 {'C': {'precision': 0.4315068493150685, 'recall': 0.23684210526315788, 'f1': 0.3058252427184466, 'number': 266}, 'P': {'precision': 0.4658703071672355, 'recall': 0.7203166226912929, 'f1': 0.5658031088082902, 'number': 379}, 'overall_precision': 0.45901639344262296, 'overall_recall': 0.5209302325581395, 'overall_f1': 0.48801742919389973, 'overall_accuracy': 0.6803311220729149}
			------------EPOCH 6---------------
Loss: tensor(948.2086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(774.6584, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2508.3389, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1387.7228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(913.7951, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1041.7748, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1012.9168, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(820.0721, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(930.0429, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(725.5848, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(674.6057, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(608.2623, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(805.4030, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1089.4270, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1412.1989, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2672.1868, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(768.9380, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1151.8748, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1139.5277, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(679.8087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(812.7632, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1072.5034, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(287.9004, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(331.2989, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(394.8760, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(487.7576, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(851.9413, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(752.6847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(436.5563, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(706.2861, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(949.8622, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.30492424242424243, 'recall': 0.6052631578947368, 'f1': 0.40554156171284633, 'number': 266}, 'P': {'precision': 0.5074626865671642, 'recall': 0.2691292875989446, 'f1': 0.3517241379310345, 'number': 379}, 'overall_precision': 0.3607681755829904, 'overall_recall': 0.4077519379844961, 'overall_f1': 0.3828238719068413, 'overall_accuracy': 0.5985711855757782}
			------------EPOCH 7---------------
Loss: tensor(1045.6682, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(793.5690, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3060.9395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(939.6316, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(551.4976, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1319.2460, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(346.4960, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(248.6065, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(654.3966, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(458.2752, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(287.6967, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(444.2682, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(922.9835, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(435.4335, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(447.0927, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(640.3462, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(673.0934, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1126.1227, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(680.3623, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(861.5639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(907.7726, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(593.8228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(737.6518, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(619.5293, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(578.9341, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(492.3477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(618.3588, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(900.9086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(689.4921, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1330.9908, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(456.6654, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(800.6481, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(695.4569, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(468.4112, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(610.6803, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(710.5571, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(220.5481, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(274.3106, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(252.9597, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(408.0107, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(607.5149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(534.6796, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(272.6271, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(422.3839, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(438.0027, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.403954802259887, 'recall': 0.5375939849624061, 'f1': 0.4612903225806452, 'number': 266}, 'P': {'precision': 0.6472602739726028, 'recall': 0.49868073878627966, 'f1': 0.5633383010432191, 'number': 379}, 'overall_precision': 0.5139318885448917, 'overall_recall': 0.5147286821705427, 'overall_f1': 0.5143299767621999, 'overall_accuracy': 0.6789703464307989}
			------------EPOCH 8---------------
Loss: tensor(538.8936, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(499.3100, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1637.3721, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(527.3858, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(399.7231, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1094.4240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(260.4917, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(160.5434, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(531.0068, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(313.3087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(192.3276, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(247.5520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(472.4644, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(268.0076, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(227.0895, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(342.1666, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(477.2823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(681.1002, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(355.5275, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(503.1564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(556.8861, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(320.9485, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(474.8259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(354.8715, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(356.0045, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(367.2397, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(433.1364, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(571.3793, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(489.7135, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(966.4603, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(313.3022, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(520.3887, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(561.7066, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(383.3787, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(542.4323, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(555.9464, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(177.0832, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(200.8622, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(246.6460, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(327.3256, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(648.9462, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(342.5767, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(164.6145, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(270.5479, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(375.9564, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.42328042328042326, 'recall': 0.6015037593984962, 'f1': 0.49689440993788814, 'number': 266}, 'P': {'precision': 0.628099173553719, 'recall': 0.6015831134564644, 'f1': 0.61455525606469, 'number': 379}, 'overall_precision': 0.5236167341430499, 'overall_recall': 0.6015503875968993, 'overall_f1': 0.55988455988456, 'overall_accuracy': 0.7149175029766968}
			------------EPOCH 9---------------
Loss: tensor(436.5187, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(377.2049, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(994.3501, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(235.2011, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(264.9937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(643.4941, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(166.8999, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.5532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(362.8426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(181.2453, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(128.3573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(158.7079, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(426.1668, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(212.8144, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(180.5322, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(391.7608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(361.0150, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(526.1838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(283.1738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(361.2532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(351.3393, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(279.6320, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(352.5670, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(242.9198, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(260.1257, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(220.3832, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(320.0035, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(438.6483, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(317.3882, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(636.8285, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(192.8841, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(381.0532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(464.0698, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(290.6414, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(495.2209, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(402.3152, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(141.5141, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(198.8507, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(207.9591, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(366.3251, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(546.9656, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(329.0684, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(150.4441, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(206.8159, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(215.3305, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.40476190476190477, 'recall': 0.7030075187969925, 'f1': 0.5137362637362638, 'number': 266}, 'P': {'precision': 0.64576802507837, 'recall': 0.5435356200527705, 'f1': 0.5902578796561605, 'number': 379}, 'overall_precision': 0.5032010243277849, 'overall_recall': 0.6093023255813953, 'overall_f1': 0.5511921458625527, 'overall_accuracy': 0.6828258774167942}
			------------EPOCH 10---------------
Loss: tensor(387.9434, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(373.2590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(922.7933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(170.4456, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(205.8352, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(556.1414, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(134.9050, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.9632, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(329.5353, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(138.7077, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(99.9463, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(120.9720, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(262.5809, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(117.6068, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.5161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(206.3859, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(394.2833, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(638.9391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(282.7206, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(417.1806, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(254.9269, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(433.3621, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(403.8705, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(283.3490, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(207.8230, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(285.4096, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(755.4386, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(155.0763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(497.6559, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(490.9301, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(250.0839, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(654.8082, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(351.9583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.0343, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.8085, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(143.8195, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(216.1360, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(733.8223, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(639.4926, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(277.5183, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(474.7643, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(678.6033, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.4146341463414634, 'recall': 0.2556390977443609, 'f1': 0.3162790697674418, 'number': 266}, 'P': {'precision': 0.49611197511664074, 'recall': 0.841688654353562, 'f1': 0.62426614481409, 'number': 379}, 'overall_precision': 0.4795539033457249, 'overall_recall': 0.6, 'overall_f1': 0.5330578512396694, 'overall_accuracy': 0.664738901173669}
			------------EPOCH 11---------------
Loss: tensor(933.6620, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(768.1689, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2223.2795, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(487.4962, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(360.4138, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(733.0267, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(360.1565, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(225.0653, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(133.5253, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(207.4301, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(269.8550, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.36855036855036855, 'recall': 0.5639097744360902, 'f1': 0.4457652303120357, 'number': 266}, 'P': {'precision': 0.597254004576659, 'recall': 0.6886543535620053, 'f1': 0.6397058823529411, 'number': 379}, 'overall_precision': 0.48696682464454977, 'overall_recall': 0.6372093023255814, 'overall_f1': 0.5520483546004029, 'overall_accuracy': 0.6835062652378523}
			------------EPOCH 12---------------
Loss: tensor(418.9226, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(491.9196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1389.8936, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(372.9746, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(489.8861, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1100.9788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(402.8930, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.0720, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(936.3017, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(629.2742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(168.0122, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(275.4084, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(768.7791, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(494.7493, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(327.4035, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(424.9825, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(263.9848, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(424.1973, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(258.2717, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(399.3318, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(371.8942, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(132.3512, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(273.8389, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(284.6749, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(279.9960, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(124.9248, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(359.7634, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(604.2181, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(191.8913, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(440.1848, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(127.9576, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(345.3063, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(382.7920, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(202.7819, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(478.6939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(291.0018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(365.0436, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.9040, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(188.0060, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(179.0511, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(341.1234, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(271.1125, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(168.7592, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(204.5201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(102.2138, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.5161290322580645, 'recall': 0.42105263157894735, 'f1': 0.46376811594202894, 'number': 266}, 'P': {'precision': 0.636568848758465, 'recall': 0.7440633245382586, 'f1': 0.6861313868613139, 'number': 379}, 'overall_precision': 0.5969696969696969, 'overall_recall': 0.6108527131782946, 'overall_f1': 0.6038314176245211, 'overall_accuracy': 0.7646425128990191}
			------------EPOCH 13---------------
Loss: tensor(261.5679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(284.6831, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(697.2551, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(293.0357, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(214.3242, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(745.5778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.9550, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.0151, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(289.0551, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.6158, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(217.3803, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.9226, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(143.1138, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.6482, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(76.0268, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(112.1584, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(134.4432, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(229.9186, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(116.9144, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(165.4226, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(203.7265, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(90.4059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(234.4700, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(170.6280, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(226.5335, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(101.3528, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(274.7387, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(451.2347, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(280.5677, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(528.6049, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(203.6881, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(349.5942, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(230.0571, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.2652, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(336.1673, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(204.7085, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.4072, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.0965, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(91.0541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.1744, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(192.5574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(90.9674, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.4546, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.7805, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.9184, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.5263157894736842, 'recall': 0.45112781954887216, 'f1': 0.48582995951417, 'number': 266}, 'P': {'precision': 0.5753424657534246, 'recall': 0.7757255936675461, 'f1': 0.6606741573033708, 'number': 379}, 'overall_precision': 0.5602165087956699, 'overall_recall': 0.641860465116279, 'overall_f1': 0.5982658959537573, 'overall_accuracy': 0.7354992345637014}
			------------EPOCH 14---------------
Loss: tensor(158.4158, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(197.0677, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(304.0338, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.9937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(113.5764, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(282.6456, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.6649, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.6012, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(142.7440, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(132.2478, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.2047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(101.8373, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(168.2526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.4200, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.3564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.4321, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(209.8649, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(124.4001, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(166.5257, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.1448, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.4784, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.2791, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(90.9096, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.5342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.8094, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(133.9858, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.2909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(179.6529, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.8178, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(255.8541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.0496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(133.0744, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(282.7452, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(196.9491, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.7647, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.3575, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.6846, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(210.5282, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(202.4489, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(145.0848, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.1282, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.9059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.9397, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.4575, 'recall': 0.6879699248120301, 'f1': 0.5495495495495496, 'number': 266}, 'P': {'precision': 0.6636085626911316, 'recall': 0.5725593667546174, 'f1': 0.6147308781869689, 'number': 379}, 'overall_precision': 0.5502063273727648, 'overall_recall': 0.6201550387596899, 'overall_f1': 0.5830903790087463, 'overall_accuracy': 0.7261439020241538}
			------------EPOCH 15---------------
Loss: tensor(153.0947, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(162.6706, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(288.4250, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.2602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(92.2426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(213.3512, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.8042, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.5380, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(47.6750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.3569, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(66.5545, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(103.5418, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(205.7339, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(64.0046, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(87.0088, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.7505, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.6112, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(50.1384, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(47.8790, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(51.5146, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.4184, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.43089430894308944, 'recall': 0.7969924812030075, 'f1': 0.5593667546174143, 'number': 266}, 'P': {'precision': 0.7004048582995951, 'recall': 0.45646437994722955, 'f1': 0.5527156549520766, 'number': 379}, 'overall_precision': 0.5209742895805142, 'overall_recall': 0.5968992248062015, 'overall_f1': 0.5563583815028901, 'overall_accuracy': 0.6964903328230425}
			------------EPOCH 16---------------
Loss: tensor(117.2747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(133.2160, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(257.6685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.9410, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(31.9261, device='cuda:0', grad_fn=<DivBackward0>)
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Evaluating
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				 {'C': {'precision': 0.5463414634146342, 'recall': 0.42105263157894735, 'f1': 0.47558386411889597, 'number': 266}, 'P': {'precision': 0.6039603960396039, 'recall': 0.8047493403693932, 'f1': 0.6900452488687783, 'number': 379}, 'overall_precision': 0.5873239436619718, 'overall_recall': 0.6465116279069767, 'overall_f1': 0.6154981549815497, 'overall_accuracy': 0.7526790270454159}
			------------EPOCH 17---------------
Loss: tensor(183.7802, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(173.3305, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(170.9604, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(30.4042, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.6657, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.8577, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.7433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.2622, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.1350, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8472, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.5608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.3847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.8582, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1781, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.4594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.5017, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.5931, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.7908, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.5382, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(143.7930, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.6357, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.1521, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.7781, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.8639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.5480, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.4450, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.9065, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.9070, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.4997, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.3813, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.0134, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.0302, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.5424, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.46511627906976744, 'recall': 0.6766917293233082, 'f1': 0.5513016845329249, 'number': 266}, 'P': {'precision': 0.6443148688046647, 'recall': 0.58311345646438, 'f1': 0.6121883656509695, 'number': 379}, 'overall_precision': 0.5493150684931507, 'overall_recall': 0.6217054263565891, 'overall_f1': 0.5832727272727273, 'overall_accuracy': 0.725180019277655}
			------------EPOCH 18---------------
Loss: tensor(59.7500, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.8375, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(111.9197, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.7718, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.3125, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(77.2730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.5557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.9501, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.8522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.1813, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.8036, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.6770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.6831, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.1097, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.1472, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.3631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.8233, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.3041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.6630, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.2082, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.6541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.8691, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.6345, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.1521, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.5415, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.6517, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.1095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.9697, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.2508, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.1101, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.9306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(122.7151, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.6486, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.5819, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.2830, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.8105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.3619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8801, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.8659, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.4608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.9529, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.9344, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.6226, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.5724, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6781, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.47413793103448276, 'recall': 0.6203007518796992, 'f1': 0.5374592833876223, 'number': 266}, 'P': {'precision': 0.6311688311688312, 'recall': 0.6411609498680739, 'f1': 0.6361256544502618, 'number': 379}, 'overall_precision': 0.5566166439290586, 'overall_recall': 0.6325581395348837, 'overall_f1': 0.5921625544267053, 'overall_accuracy': 0.7406021432216363}
			------------EPOCH 19---------------
Loss: tensor(38.4439, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.7110, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(92.7398, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.7100, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.9938, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.6205, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.7370, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.8025, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.3723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.7669, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.8719, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.3910, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.8978, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.7053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.6689, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.5602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.9651, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.6833, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(24.0296, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.2966, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.9492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1740, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.8685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.2064, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.2426, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(11.8433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.8092, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.0080, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.6948, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.5406, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.1275, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.0728, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.2772, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.1710, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.8776, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.4060, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.9949, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.5438, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.1269, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6906, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.8434, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.7763, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.49846153846153846, 'recall': 0.6090225563909775, 'f1': 0.5482233502538071, 'number': 266}, 'P': {'precision': 0.6237623762376238, 'recall': 0.6649076517150396, 'f1': 0.6436781609195402, 'number': 379}, 'overall_precision': 0.5679012345679012, 'overall_recall': 0.641860465116279, 'overall_f1': 0.6026200873362445, 'overall_accuracy': 0.7527357260305041}
			------------EPOCH 20---------------
Loss: tensor(31.5789, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.8627, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(76.3290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.3902, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.1643, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.7566, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.0211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.7169, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.2110, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.1629, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.0717, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.0897, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.8023, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.4917, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.8843, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.7086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.1255, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(16.4745, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(18.4831, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(13.0422, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(9.6038, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.7725, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(88.4718, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(22.0092, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(20.5348, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.1431, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.5565, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.2095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.0527, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.9031, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.9922, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.5161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.6323, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.49554896142433236, 'recall': 0.6278195488721805, 'f1': 0.5538971807628524, 'number': 266}, 'P': {'precision': 0.6171284634760705, 'recall': 0.6464379947229552, 'f1': 0.6314432989690721, 'number': 379}, 'overall_precision': 0.5613079019073569, 'overall_recall': 0.6387596899224807, 'overall_f1': 0.5975344452501813, 'overall_accuracy': 0.7433236945058683}
			------------EPOCH 21---------------
Loss: tensor(21.3461, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.4251, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.0612, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.2772, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(21.2790, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(11.6437, device='cuda:0', grad_fn=<DivBackward0>)
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Evaluating
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				 {'C': {'precision': 0.5046439628482973, 'recall': 0.6127819548872181, 'f1': 0.5534804753820034, 'number': 266}, 'P': {'precision': 0.6204379562043796, 'recall': 0.6728232189973615, 'f1': 0.6455696202531646, 'number': 379}, 'overall_precision': 0.5694822888283378, 'overall_recall': 0.648062015503876, 'overall_f1': 0.6062364031907179, 'overall_accuracy': 0.7422464137891932}
			------------EPOCH 22---------------
Loss: tensor(14.3913, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.6679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.7093, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(13.0519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.4537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.7868, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3531, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.49693251533742333, 'recall': 0.6090225563909775, 'f1': 0.5472972972972973, 'number': 266}, 'P': {'precision': 0.6057692307692307, 'recall': 0.6649076517150396, 'f1': 0.6339622641509434, 'number': 379}, 'overall_precision': 0.5579514824797843, 'overall_recall': 0.641860465116279, 'overall_f1': 0.5969718817591925, 'overall_accuracy': 0.7405454442365481}
			------------EPOCH 23---------------
Loss: tensor(11.7250, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.1707, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.0836, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.2815, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.3278, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.4601, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.7648, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.8827, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.3626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.4732, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.4979, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.0794, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.3978, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.3541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.0770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.5259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.9353, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.5124, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.7037, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.8272, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.6136, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.8477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.3297, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.2049, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.6111, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3864, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.4355, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.2656, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.9446, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.1289, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.7983, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.0235, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5288, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.4740, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.8975, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.6306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.8548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.2538, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.2971, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9656, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.1172, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.7687, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.0360, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.6235, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.1407, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.47352941176470587, 'recall': 0.6052631578947368, 'f1': 0.5313531353135313, 'number': 266}, 'P': {'precision': 0.6082725060827251, 'recall': 0.6596306068601583, 'f1': 0.6329113924050632, 'number': 379}, 'overall_precision': 0.5472703062583223, 'overall_recall': 0.6372093023255814, 'overall_f1': 0.5888252148997134, 'overall_accuracy': 0.7349889436979078}
			------------EPOCH 24---------------
Loss: tensor(21.3053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.8072, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.4884, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.5512, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.2104, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.8832, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.0181, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.2568, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.4674, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.7732, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.8716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.3679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.2292, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.2634, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8726, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.7623, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.4590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.2117, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.5755, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3562, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.8091, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.0387, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.7754, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.6360, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.1762, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5633, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.7056, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.7963, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.1193, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.0421, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.0943, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.9578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.5618, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.7212, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.4580, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.6218, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.3348, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.0282, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.2414, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.4407, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.6516, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.6880, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.47674418604651164, 'recall': 0.6165413533834586, 'f1': 0.5377049180327869, 'number': 266}, 'P': {'precision': 0.6144278606965174, 'recall': 0.6517150395778364, 'f1': 0.6325224071702945, 'number': 379}, 'overall_precision': 0.5509383378016086, 'overall_recall': 0.6372093023255814, 'overall_f1': 0.590941768511862, 'overall_accuracy': 0.7533594148664738}
			------------EPOCH 25---------------
Loss: tensor(15.5807, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.8739, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.6366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.0250, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.7398, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.6585, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.6048, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.9391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.2835, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.3468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.4317, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.5468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.3982, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.3894, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.3799, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.0075, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.6560, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.3017, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.3233, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.0081, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.7413, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.9880, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.4450, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.4391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.6408, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.5055, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.8416, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.3949, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.7279, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.3249, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.8237, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.5726, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.4604, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.0985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.8931, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.0496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.9224, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.8840, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6070, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.0108, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.7212, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.2762, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2120, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.9421, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.5, 'recall': 0.6240601503759399, 'f1': 0.5551839464882944, 'number': 266}, 'P': {'precision': 0.6334164588528678, 'recall': 0.6701846965699209, 'f1': 0.6512820512820513, 'number': 379}, 'overall_precision': 0.572987721691678, 'overall_recall': 0.6511627906976745, 'overall_f1': 0.6095791001451378, 'overall_accuracy': 0.7581788285989681}


		-------------RUN 2-----------
			------------EPOCH 1---------------
Loss: tensor(2031.8062, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2426.7175, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2809.1953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4139.5269, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4708.4434, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1540.5757, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1726.6036, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2671.4561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1901.7632, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2447.2620, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2423.2925, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2741.3120, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2072.0615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2791.8271, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2428.1919, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1799.5287, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1743.1953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1899.5569, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2647.1931, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1354.4712, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5545.7925, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2789.4004, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2847.3628, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3252.6919, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2098.3398, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1720.4978, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2125.9644, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2128.2607, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1964.1969, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1738.4017, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2615.9480, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2011.8220, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7642.1138, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3271.9966, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2770.8042, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1010.1881, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2021.3147, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2576.0095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1782.0928, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2539.6396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2490.4272, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2026.5326, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1349.7778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1024.7966, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1035.6764, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.05970149253731343, 'recall': 0.06557377049180328, 'f1': 0.0625, 'number': 305}, 'P': {'precision': 0.038461538461538464, 'recall': 0.03431372549019608, 'f1': 0.03626943005181347, 'number': 408}, 'overall_precision': 0.04864091559370529, 'overall_recall': 0.047685834502103785, 'overall_f1': 0.04815864022662889, 'overall_accuracy': 0.5366652116979485}
			------------EPOCH 2---------------
Loss: tensor(1284.1072, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1671.1982, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1757.7327, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2912.1931, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3465.6553, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1114.2087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1280.0474, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2056.5818, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1286.4912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1707.7451, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1752.8883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2075.3013, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1652.9445, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2269.1509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1981.6346, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1608.6521, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1546.2404, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1616.3484, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2083.1514, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1063.2717, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4759.1025, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2223.4277, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2202.5530, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2645.6731, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1842.4209, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1481.3264, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1724.0862, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1749.7329, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1530.1804, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1287.1627, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2069.0476, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1674.3538, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6513.6475, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2569.8440, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2180.4009, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(790.0747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1611.0543, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2109.0425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1468.5885, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1940.6709, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1974.4639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1793.7367, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1144.9854, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(859.7659, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(899.0160, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.16044776119402984, 'recall': 0.14098360655737704, 'f1': 0.150087260034904, 'number': 305}, 'P': {'precision': 0.4061855670103093, 'recall': 0.48284313725490197, 'f1': 0.4412094064949608, 'number': 408}, 'overall_precision': 0.3187250996015936, 'overall_recall': 0.33660589060308554, 'overall_f1': 0.3274215552523875, 'overall_accuracy': 0.5988651243998254}
			------------EPOCH 3---------------
Loss: tensor(1016.1972, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1339.4661, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1238.1316, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2336.1089, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2915.7163, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(928.5983, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1174.0317, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1859.3997, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1054.2764, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1449.3672, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1417.4272, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1854.9241, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1475.4971, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1969.6294, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1720.5757, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1291.0138, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1196.1018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1297.3806, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1728.2155, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(924.6252, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3922.7839, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1929.3752, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1716.8677, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2127.1182, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1528.8054, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1266.2090, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1396.3629, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1426.2502, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1162.4379, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1021.6870, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1686.6500, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1239.1089, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5615.5488, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2030.6525, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1819.6283, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(676.7133, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1213.7178, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1572.2334, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1158.9414, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1532.0636, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1557.4434, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1512.2708, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(899.4199, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(658.7640, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(741.3726, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.30603448275862066, 'recall': 0.46557377049180326, 'f1': 0.3693107932379714, 'number': 305}, 'P': {'precision': 0.4959349593495935, 'recall': 0.4485294117647059, 'f1': 0.47104247104247104, 'number': 408}, 'overall_precision': 0.39015606242497, 'overall_recall': 0.45582047685834504, 'overall_f1': 0.42043984476067275, 'overall_accuracy': 0.6064491488432999}
			------------EPOCH 4---------------
Loss: tensor(807.7968, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1144.0396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(897.6931, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1881.3630, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2394.0190, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(701.9933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(963.9797, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1576.6581, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(742.2963, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1084.3540, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1160.4674, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1429.3811, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1151.1355, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1639.9285, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1204.6360, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(784.8572, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(665.0978, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(882.1524, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1393.9355, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(734.8190, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2726.2705, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1346.5554, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1026.6565, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1400.3384, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1212.2305, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1055.3889, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1143.0444, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1164.4324, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(897.1556, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(847.1347, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1412.9204, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(979.8356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3991.2312, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1218.4185, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1245.4224, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(552.5984, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(942.7222, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1093.8943, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(877.3862, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1270.4392, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1236.5398, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1074.1619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(652.6118, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(480.1953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(533.8588, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.3795620437956204, 'recall': 0.34098360655737703, 'f1': 0.35924006908462863, 'number': 305}, 'P': {'precision': 0.49613899613899615, 'recall': 0.6299019607843137, 'f1': 0.5550755939524838, 'number': 408}, 'overall_precision': 0.45580808080808083, 'overall_recall': 0.5063113604488079, 'overall_f1': 0.479734219269103, 'overall_accuracy': 0.6808707987778263}
			------------EPOCH 5---------------
Loss: tensor(593.9105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(663.0765, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(570.2304, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1352.4862, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1689.2710, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(498.0844, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(819.5168, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1149.0063, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(514.4397, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(811.4484, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1093.7290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1136.2234, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(820.9784, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1207.2086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(831.5889, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(408.7153, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(342.0609, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(566.4351, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1077.6626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(479.4308, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2114.7454, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(982.2650, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(654.7721, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1160.5259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(695.3076, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(831.5228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(786.1334, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(838.7104, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(612.6933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(498.8805, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(901.2050, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(698.5668, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3986.4929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1100.0371, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1013.9453, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(414.0442, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(674.9134, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(902.9158, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(571.7257, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(943.0902, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1071.9656, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(772.4426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(520.3546, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(310.5681, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(569.8698, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.3217821782178218, 'recall': 0.21311475409836064, 'f1': 0.25641025641025644, 'number': 305}, 'P': {'precision': 0.40654843110504774, 'recall': 0.7303921568627451, 'f1': 0.5223488168273445, 'number': 408}, 'overall_precision': 0.38823529411764707, 'overall_recall': 0.5091164095371669, 'overall_f1': 0.44053398058252424, 'overall_accuracy': 0.5872981230903536}
			------------EPOCH 6---------------
Loss: tensor(621.6088, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(929.9626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(615.1431, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1700.9441, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2269.0063, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(725.6721, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1201.5864, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1684.2388, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(397.0613, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(627.4679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(938.0985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1210.3077, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(777.1812, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1083.0542, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(681.1982, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(365.6653, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(263.7850, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(501.7046, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(923.7380, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(455.1577, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1761.6697, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(971.6362, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(787.6217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1017.3839, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(674.8557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(766.2510, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(671.5442, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(703.0429, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(530.7206, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(433.5023, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(830.6936, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(604.4716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3048.3047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(831.9482, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(825.2957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(413.7523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(647.7401, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(786.9141, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(624.9210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(860.4353, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(718.0364, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(597.3085, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(364.4799, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(292.3607, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(334.2892, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.42613636363636365, 'recall': 0.4918032786885246, 'f1': 0.4566210045662101, 'number': 305}, 'P': {'precision': 0.5167364016736402, 'recall': 0.6053921568627451, 'f1': 0.5575620767494357, 'number': 408}, 'overall_precision': 0.4783132530120482, 'overall_recall': 0.5568022440392707, 'overall_f1': 0.5145819831497084, 'overall_accuracy': 0.6851811436054125}
			------------EPOCH 7---------------
Loss: tensor(395.8490, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(445.7499, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(343.4512, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(853.0361, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1059.3601, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(227.5096, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(465.4737, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(649.8750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(284.6883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(433.6602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(667.6566, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(781.7476, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(584.2278, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(926.9103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(499.7435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(256.0701, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(176.4730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(417.8468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(841.2659, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(258.1769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(912.9135, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(386.1319, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(274.3547, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(598.0730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(320.2311, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(493.6325, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(471.1845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(326.3129, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(313.1063, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(241.7183, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(485.6255, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(419.1097, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1740.0551, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(374.9658, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(468.3989, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(266.6247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(410.8608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(486.1234, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(409.3182, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(711.5416, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(466.7432, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(381.0120, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(297.8128, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(214.3897, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(262.9810, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.38596491228070173, 'recall': 0.21639344262295082, 'f1': 0.2773109243697479, 'number': 305}, 'P': {'precision': 0.49917081260364843, 'recall': 0.7377450980392157, 'f1': 0.5954500494559841, 'number': 408}, 'overall_precision': 0.47416020671834624, 'overall_recall': 0.514726507713885, 'overall_f1': 0.4936112979152656, 'overall_accuracy': 0.6904735923177652}
			------------EPOCH 8---------------
Loss: tensor(289.4346, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(297.3289, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(287.8093, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(778.9568, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(661.1611, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(170.9518, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(317.6819, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(434.8995, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(164.6458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(245.9357, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(370.4764, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(493.7468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(359.6972, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(606.7128, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(256.1612, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.7350, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(108.1468, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(568.0781, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(159.1750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(732.8698, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(273.3352, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(185.6010, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(166.3334, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(245.0036, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(175.1933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(485.2257, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1240.2034, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(262.6457, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(322.3666, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(206.4229, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(278.4853, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(316.7581, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(202.8695, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(452.5163, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(350.5857, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(171.5639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.1219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(90.0398, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(170.6692, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.3744075829383886, 'recall': 0.25901639344262295, 'f1': 0.3062015503875969, 'number': 305}, 'P': {'precision': 0.5562248995983936, 'recall': 0.678921568627451, 'f1': 0.6114790286975718, 'number': 408}, 'overall_precision': 0.5021156558533145, 'overall_recall': 0.4992987377279102, 'overall_f1': 0.5007032348804501, 'overall_accuracy': 0.6968027062418158}
			------------EPOCH 9---------------
Loss: tensor(197.2146, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(173.9903, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(203.7412, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(495.6544, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(679.5984, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(124.9501, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(398.3814, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(501.4927, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(239.8651, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(378.0446, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(278.3200, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(582.0984, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(350.0138, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(579.9688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(201.8886, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(168.9064, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.7240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(146.7698, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(386.4816, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.1935, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(390.8785, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(163.9786, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(105.8910, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(252.3881, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(124.4254, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(197.2588, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(230.0538, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.4692, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(263.9398, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(163.1486, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(413.5002, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(303.9362, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1359.4918, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(289.7834, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(396.6599, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(315.1557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(250.4260, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(346.1045, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(235.1157, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(296.0352, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(394.9388, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(215.5294, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(249.5715, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.7690, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(187.7386, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.4394904458598726, 'recall': 0.2262295081967213, 'f1': 0.2987012987012987, 'number': 305}, 'P': {'precision': 0.4836795252225519, 'recall': 0.7990196078431373, 'f1': 0.6025878003696858, 'number': 408}, 'overall_precision': 0.4753309265944645, 'overall_recall': 0.5539971949509116, 'overall_f1': 0.5116580310880829, 'overall_accuracy': 0.6604648625054561}
			------------EPOCH 10---------------
Loss: tensor(156.3527, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(143.5011, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(167.9749, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(477.0475, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(357.1011, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.8875, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(196.5182, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(278.0940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.4286, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(181.0869, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(178.2005, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(340.8421, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(296.6870, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(416.2106, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(172.3615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(145.3730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.7360, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(179.9645, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(365.9401, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.2567, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(662.1594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.5908, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(97.6590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(314.4151, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.1627, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(195.8989, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(241.1047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(129.8101, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(90.0279, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.8882, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(141.4603, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(184.9774, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(544.6183, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.1671, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(170.8446, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(112.6131, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(180.3109, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(257.6674, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(148.4710, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(254.5461, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(324.2946, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(202.9994, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(187.7996, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(108.6926, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(235.0566, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.4199395770392749, 'recall': 0.4557377049180328, 'f1': 0.43710691823899367, 'number': 305}, 'P': {'precision': 0.48464163822525597, 'recall': 0.696078431372549, 'f1': 0.5714285714285715, 'number': 408}, 'overall_precision': 0.4612868047982552, 'overall_recall': 0.5932678821879382, 'overall_f1': 0.5190184049079754, 'overall_accuracy': 0.6551178524661719}
			------------EPOCH 11---------------
Loss: tensor(76.8417, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(111.9374, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(161.3352, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(353.7184, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(337.2800, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.4216, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(273.4772, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(356.2320, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.0766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(152.6418, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(217.7749, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(346.8594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(399.4292, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(525.7540, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(272.2156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.3596, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.7720, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(99.2739, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(307.0548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(101.2408, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(278.1742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(92.0783, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.7485, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(146.6327, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.1562, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(115.5367, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(143.9002, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(76.1684, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(173.0756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.5594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(177.2462, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(205.0217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1084.0068, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(171.2471, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(164.0652, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(135.4753, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(230.8365, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(333.3895, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.1627, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(198.8910, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(154.2180, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.4088, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(152.0690, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.3294, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.9411, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.45491803278688525, 'recall': 0.3639344262295082, 'f1': 0.40437158469945356, 'number': 305}, 'P': {'precision': 0.5364963503649635, 'recall': 0.7205882352941176, 'f1': 0.6150627615062761, 'number': 408}, 'overall_precision': 0.5113636363636364, 'overall_recall': 0.5680224403927069, 'overall_f1': 0.5382059800664452, 'overall_accuracy': 0.7088061981667394}
			------------EPOCH 12---------------
Loss: tensor(62.6615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.1959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.3039, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(195.7116, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(152.5808, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.9511, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.7115, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(102.7730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.0860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.0323, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(107.9153, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(180.6604, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(130.5008, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(208.6072, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(92.1416, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.1482, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(241.5010, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(186.4162, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(555.1727, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.9657, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(586.4012, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(427.3885, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(344.4950, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(876.8398, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.9282, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(126.8377, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.7134, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.9940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.4266, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.0388, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.3283, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(141.1047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(817.3586, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(189.8607, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(219.5343, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.4305, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(566.4211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(909.5928, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(373.6959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1134.0193, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(280.6751, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(185.4290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(133.6738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.5410, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.3305, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.4265232974910394, 'recall': 0.3901639344262295, 'f1': 0.40753424657534243, 'number': 305}, 'P': {'precision': 0.5368620037807184, 'recall': 0.696078431372549, 'f1': 0.6061899679829242, 'number': 408}, 'overall_precision': 0.49876237623762376, 'overall_recall': 0.5652173913043478, 'overall_f1': 0.5299145299145298, 'overall_accuracy': 0.6982758620689655}
			------------EPOCH 13---------------
Loss: tensor(60.4947, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.7727, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.6787, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(158.5187, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(179.8132, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.0242, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(91.2746, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(112.3913, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.7399, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(165.2116, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(159.2356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(335.7037, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(232.6062, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(319.2263, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(110.8925, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(147.7162, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(155.3271, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(190.0970, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(420.2844, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.1149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(382.9908, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(195.1400, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.3885, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(211.4343, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(268.8295, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(702.1313, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(883.7394, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(262.8078, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(205.2654, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(417.9514, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(319.0667, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(749.3391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(161.4508, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(255.8632, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.0406, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(143.4452, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(208.5787, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.6223, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(333.3691, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(423.4534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(516.5883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(316.9623, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(130.2745, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(754.0556, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.30926430517711173, 'recall': 0.7442622950819672, 'f1': 0.4369586140519731, 'number': 305}, 'P': {'precision': 0.6285714285714286, 'recall': 0.10784313725490197, 'f1': 0.18410041841004185, 'number': 408}, 'overall_precision': 0.3370646766169154, 'overall_recall': 0.3800841514726508, 'overall_f1': 0.35728411338167443, 'overall_accuracy': 0.5630728939327805}
			------------EPOCH 14---------------
Loss: tensor(1661.8882, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2205.5276, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1807.2830, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3594.8154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1801.2524, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(513.1833, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(397.2622, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(814.1504, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(871.0710, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1721.5586, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(611.1402, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5073.8062, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1920.4246, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2006.7622, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1102.1630, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(571.6876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(524.8387, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(635.6217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1015.4812, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(369.0458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(291.0822, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(192.9324, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(125.9710, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(236.3620, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.33078101071975496, 'recall': 0.7081967213114754, 'f1': 0.4509394572025052, 'number': 305}, 'P': {'precision': 0.4972972972972973, 'recall': 0.22549019607843138, 'f1': 0.3102866779089376, 'number': 408}, 'overall_precision': 0.36754176610978523, 'overall_recall': 0.4319775596072931, 'overall_f1': 0.3971631205673759, 'overall_accuracy': 0.5911174159755566}
			------------EPOCH 15---------------
Loss: tensor(346.4510, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(567.6555, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(298.7890, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(772.1309, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(437.4128, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(446.8419, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(737.7751, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(758.0073, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1539.4365, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1075.1296, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(814.5706, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(782.7548, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(302.2225, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(291.0241, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(340.8517, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(317.2941, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(339.1169, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(420.1165, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(206.1778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.8524, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(187.7829, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.5072463768115942, 'recall': 0.22950819672131148, 'f1': 0.31602708803611734, 'number': 305}, 'P': {'precision': 0.4610951008645533, 'recall': 0.7843137254901961, 'f1': 0.5807622504537205, 'number': 408}, 'overall_precision': 0.46875, 'overall_recall': 0.5469845722300141, 'overall_f1': 0.5048543689320387, 'overall_accuracy': 0.6607922304670449}
			------------EPOCH 16---------------
Loss: tensor(355.0461, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(252.3360, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(307.9393, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(675.5637, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(42.7206, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.1241, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.4231678486997636, 'recall': 0.5868852459016394, 'f1': 0.49175824175824173, 'number': 305}, 'P': {'precision': 0.5989847715736041, 'recall': 0.5784313725490197, 'f1': 0.5885286783042395, 'number': 408}, 'overall_precision': 0.5079559363525091, 'overall_recall': 0.5820476858345021, 'overall_f1': 0.5424836601307189, 'overall_accuracy': 0.6922195547795722}
			------------EPOCH 17---------------
Loss: tensor(99.6044, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.7992, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.8860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(173.7266, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(33.6167, device='cuda:0', grad_fn=<DivBackward0>)
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Evaluating
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				 {'C': {'precision': 0.439873417721519, 'recall': 0.4557377049180328, 'f1': 0.4476650563607085, 'number': 305}, 'P': {'precision': 0.5711340206185567, 'recall': 0.678921568627451, 'f1': 0.620380739081747, 'number': 408}, 'overall_precision': 0.519350811485643, 'overall_recall': 0.5834502103786816, 'overall_f1': 0.5495376486129459, 'overall_accuracy': 0.7042230467044959}
			------------EPOCH 18---------------
Loss: tensor(52.6183, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.0835, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.1782, device='cuda:0', grad_fn=<DivBackward0>)
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Evaluating
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				 {'C': {'precision': 0.43252595155709345, 'recall': 0.4098360655737705, 'f1': 0.4208754208754209, 'number': 305}, 'P': {'precision': 0.5490566037735849, 'recall': 0.7132352941176471, 'f1': 0.6204690831556503, 'number': 408}, 'overall_precision': 0.5079365079365079, 'overall_recall': 0.5834502103786816, 'overall_f1': 0.5430809399477806, 'overall_accuracy': 0.7038411174159755}
			------------EPOCH 19---------------
Loss: tensor(33.8305, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.8271, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(56.2843, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(171.7408, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.0645, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.7145, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.8606, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(76.4659, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(112.1849, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.1780, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.1945, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.2863, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.4526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.6744, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.4884, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.8929, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.4430379746835443, 'recall': 0.45901639344262296, 'f1': 0.45088566827697263, 'number': 305}, 'P': {'precision': 0.5597609561752988, 'recall': 0.6887254901960784, 'f1': 0.6175824175824176, 'number': 408}, 'overall_precision': 0.5146699266503667, 'overall_recall': 0.5904628330995793, 'overall_f1': 0.549967341606793, 'overall_accuracy': 0.7021497162811}
			------------EPOCH 20---------------
Loss: tensor(24.1553, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.4304, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.4766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.3047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(77.6459, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.3177, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.6924, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.9820, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6443, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.4165, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.5238, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.9788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.8841, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.9402, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.2671, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.5512, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2944, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.8718, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.0904, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.8744, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.0379, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.7650, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.8042, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.4596, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.9799, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.7864, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.2167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.4694, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.4812, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.0075, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.5150, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.1941, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(130.7742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.2003, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.8249, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.0588, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.6769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.4801, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.6612, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.4938, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.6347, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.7924, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.7592, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5807, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.1908, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.43465045592705165, 'recall': 0.46885245901639344, 'f1': 0.45110410094637227, 'number': 305}, 'P': {'precision': 0.5603271983640081, 'recall': 0.6715686274509803, 'f1': 0.6109253065774805, 'number': 408}, 'overall_precision': 0.5097799511002445, 'overall_recall': 0.5848527349228612, 'overall_f1': 0.5447419986936644, 'overall_accuracy': 0.6998035792230467}
			------------EPOCH 21---------------
Loss: tensor(17.3092, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.1967, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.8120, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.1697, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.8498, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.0005, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.9653, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.3217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.0774, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.0611, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.2730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.2086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.1792, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.7931, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.4057, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.0732, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.7874, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.4962, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.7593, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6709, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.4599, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.5597, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.4058, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9157, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.3647, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.0361, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.2946, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.7297, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.0937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.8098, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.9204, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(113.4374, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.2721, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.0026, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.0336, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.3696, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.5849, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.9341, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.3878, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.5744, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.5322, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.8814, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.8164, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5676, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.43597560975609756, 'recall': 0.46885245901639344, 'f1': 0.45181674565560825, 'number': 305}, 'P': {'precision': 0.5557809330628803, 'recall': 0.6715686274509803, 'f1': 0.6082130965593785, 'number': 408}, 'overall_precision': 0.5079171741778319, 'overall_recall': 0.5848527349228612, 'overall_f1': 0.5436766623207301, 'overall_accuracy': 0.7018769096464426}
			------------EPOCH 22---------------
Loss: tensor(15.0681, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.4490, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.7020, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.4031, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.9055, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.4016, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.9236, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.2626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9008, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.4839, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.7700, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.4050, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.4460, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.9443, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.6966, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.3808, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.1404, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.8720, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.5150, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.0250, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.1193, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.6164, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.2655, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.0719, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.1635, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.2296, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.2315, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.9566, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.2909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.7029, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.5122, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.5437, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.8811, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.5605, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.9208, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.3616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.5717, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.7383, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.4010, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.9038, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.2475, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.8487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.7817, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.9183, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.42857142857142855, 'recall': 0.46229508196721314, 'f1': 0.44479495268138797, 'number': 305}, 'P': {'precision': 0.5595959595959596, 'recall': 0.678921568627451, 'f1': 0.6135105204872646, 'number': 408}, 'overall_precision': 0.5072815533980582, 'overall_recall': 0.5862552594670407, 'overall_f1': 0.5439167208848406, 'overall_accuracy': 0.6976756874727194}
			------------EPOCH 23---------------
Loss: tensor(13.0201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.2060, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9439, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.8706, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.6252, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.8787, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.3578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.9205, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.6185, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.0747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.5846, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.2735, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.9023, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.7603, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.7685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.9069, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.6219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.8815, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.9199, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.6082, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(15.8833, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.7427, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.4930, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.4548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.7015, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.1909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.0608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.3610, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.6130, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.7534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.4729, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.7084, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6540, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.7008, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.9345, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.7748, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.7566, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.3900, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.9885, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.0716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.7327, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.0235, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.1779, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.5771, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.4174174174174174, 'recall': 0.4557377049180328, 'f1': 0.43573667711598746, 'number': 305}, 'P': {'precision': 0.5578093306288032, 'recall': 0.6740196078431373, 'f1': 0.6104328523862376, 'number': 408}, 'overall_precision': 0.5012106537530266, 'overall_recall': 0.5806451612903226, 'overall_f1': 0.5380116959064327, 'overall_accuracy': 0.6942928852029682}
			------------EPOCH 24---------------
Loss: tensor(10.7758, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.5434, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.3880, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.2492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.6599, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.4527, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.0040, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(8.9609, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.1617, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.4362, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(11.3573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.2044, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.7833, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(11.3579, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(14.4304, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.2021, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5580, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.9876, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(12.9445, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.8979, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.7797, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.0293, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.2511, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.1612, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.0255, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.8941, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.1557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.3878, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.4723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.5381, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.1623, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.3217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.4849, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.5667, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.9991, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.4108761329305136, 'recall': 0.4459016393442623, 'f1': 0.42767295597484273, 'number': 305}, 'P': {'precision': 0.5515151515151515, 'recall': 0.6691176470588235, 'f1': 0.6046511627906976, 'number': 408}, 'overall_precision': 0.49515738498789347, 'overall_recall': 0.573632538569425, 'overall_f1': 0.5315139701104614, 'overall_accuracy': 0.6921104321257093}
			------------EPOCH 25---------------
Loss: tensor(9.3921, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.2918, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.4451, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.7854, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.7716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.0421, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.9645, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.0454, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.5339, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.3846, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.6070, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.0777, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.8989, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.9103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.0583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.9530, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6628, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.5343, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5717, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.8227, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.7075, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.2527, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.4190, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6712, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.5309, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.7838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8305, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.1976, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.9695, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6415, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.1340, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.1145, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.8634, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.1181, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.0558, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.2187, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.5662, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.1186, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.1631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.2996, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.1201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.6307, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.2665, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.4161676646706587, 'recall': 0.4557377049180328, 'f1': 0.4350547730829421, 'number': 305}, 'P': {'precision': 0.5480572597137015, 'recall': 0.6568627450980392, 'f1': 0.5975473801560758, 'number': 408}, 'overall_precision': 0.4945321992709599, 'overall_recall': 0.5708274894810659, 'overall_f1': 0.5299479166666666, 'overall_accuracy': 0.6932562199912702}


		-------------RUN 3-----------
			------------EPOCH 1---------------
Loss: tensor(2977.0049, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3028.2253, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6539.4785, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5300.7427, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3145.0713, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4722.7832, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3650.3389, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2713.5193, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3040.2607, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2322.3042, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2331.5728, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3507.8201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3235.6904, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1838.2200, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3060.4707, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2362.9180, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3016.8909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3157.1777, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6190.3394, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2364.3125, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1779.3171, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1895.9645, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2201.0168, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2215.2556, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2393.7729, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1796.8108, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1422.6636, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3558.6929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6596.4189, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4061.6902, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1421.0623, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3054.1602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1774.2975, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2209.7668, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2079.4348, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2165.2966, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2461.9346, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2814.8359, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3399.3145, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2507.7061, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3059.3594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1564.0322, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1167.4137, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1717.9851, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2288.5754, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.049484536082474224, 'recall': 0.09917355371900827, 'f1': 0.06602475928473178, 'number': 242}, 'P': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 335}, 'overall_precision': 0.049484536082474224, 'overall_recall': 0.0415944540727903, 'overall_f1': 0.04519774011299435, 'overall_accuracy': 0.39135291412050727}
			------------EPOCH 2---------------
Loss: tensor(2274.2595, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2151.0110, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4839.6846, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4016.2461, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2205.6919, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3801.3901, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2820.4468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1964.7101, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2238.0454, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1815.8379, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1661.0757, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2477.9199, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2435.3228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1450.3264, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2372.8218, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1905.1390, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2525.4180, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2790.8071, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5099.1792, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1705.3159, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1704.0372, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1721.9233, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2018.0133, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1933.4167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2045.7288, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1419.6244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1168.4053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2691.4993, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5286.5020, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3090.5449, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1176.2664, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2663.4089, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1373.7224, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1690.0605, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1705.6313, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1765.1085, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1986.7148, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2121.1416, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2838.7942, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2004.0098, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2446.1028, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1321.6553, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1014.6750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1396.7760, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1800.7148, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.2261904761904762, 'recall': 0.47107438016528924, 'f1': 0.3056300268096515, 'number': 242}, 'P': {'precision': 0.3235294117647059, 'recall': 0.06567164179104477, 'f1': 0.10918114143920596, 'number': 335}, 'overall_precision': 0.23776223776223776, 'overall_recall': 0.23570190641247835, 'overall_f1': 0.236727589208007, 'overall_accuracy': 0.47900650502661146}
			------------EPOCH 3---------------
Loss: tensor(1974.1948, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1544.4185, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3827.8391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3274.6519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1417.3530, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3127.9897, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2336.5271, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1503.0913, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1711.4648, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1525.6665, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1395.7092, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2036.3794, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1902.7379, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1133.3470, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2004.5309, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1651.0256, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2047.1838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2175.4944, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4082.6736, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1165.2841, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1326.9968, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1315.4749, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1572.3859, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1624.8773, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1685.7661, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1149.2266, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(984.0679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2093.2280, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4436.7773, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2445.5269, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1035.7903, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2352.1523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1227.1592, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1397.0864, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1422.1906, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1460.6294, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1621.7971, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1725.5270, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2327.1296, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1557.4497, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2055.2666, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1030.5641, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(811.9705, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1120.5430, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1423.5151, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
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Evaluating
				 {'C': {'precision': 0.23974082073434125, 'recall': 0.45867768595041325, 'f1': 0.3148936170212766, 'number': 242}, 'P': {'precision': 0.46285714285714286, 'recall': 0.2417910447761194, 'f1': 0.31764705882352945, 'number': 335}, 'overall_precision': 0.30094043887147337, 'overall_recall': 0.3327556325823224, 'overall_f1': 0.3160493827160494, 'overall_accuracy': 0.6011564491753729}
			------------EPOCH 4---------------
Loss: tensor(1606.9423, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1182.2939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2880.6606, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2456.2134, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(925.9919, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2576.9119, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1921.4913, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1193.8517, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1409.9471, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1334.2122, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1083.8962, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1775.2039, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1459.5769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(950.9678, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1816.7451, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1416.6967, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1682.4113, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1502.9850, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3045.4919, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(788.6239, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(785.7919, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(788.8206, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(921.0460, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1659.9108, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1612.0820, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1023.2561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(937.6424, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2086.8232, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3951.2322, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1733.8737, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(844.6377, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1780.5320, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1119.6207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1483.7668, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1453.8783, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1292.2070, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1626.5737, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1959.0022, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2988.3264, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1479.1035, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1491.2731, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(700.0486, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(599.4789, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(793.7716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1083.1628, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.16964285714285715, 'recall': 0.3140495867768595, 'f1': 0.22028985507246376, 'number': 242}, 'P': {'precision': 0.17475728155339806, 'recall': 0.05373134328358209, 'f1': 0.08219178082191782, 'number': 335}, 'overall_precision': 0.1705989110707804, 'overall_recall': 0.16291161178509533, 'overall_f1': 0.16666666666666666, 'overall_accuracy': 0.5463565280241803}
			------------EPOCH 5---------------
Loss: tensor(1268.3827, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1208.7552, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2691.1279, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2121.9563, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1100.5269, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2382.2656, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2030.8911, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1454.8590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1270.1968, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1066.6501, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(797.8988, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1444.4824, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1364.6558, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(768.7888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1376.2710, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1075.5522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1521.9878, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1534.0205, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2771.1440, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(812.5779, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(791.6853, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(755.6382, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(920.8888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1211.2739, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1018.9190, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(822.4290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(720.6079, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1373.8580, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3196.7295, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1478.7109, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(890.1843, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1484.6064, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(799.8286, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(934.5192, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(928.4754, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1035.7697, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1220.8997, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1477.2163, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2059.4070, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1109.9429, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1213.7438, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(590.9191, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(420.9424, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(699.8451, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(803.1772, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.3374083129584352, 'recall': 0.5702479338842975, 'f1': 0.423963133640553, 'number': 242}, 'P': {'precision': 0.466403162055336, 'recall': 0.3522388059701492, 'f1': 0.401360544217687, 'number': 335}, 'overall_precision': 0.3867069486404834, 'overall_recall': 0.4436741767764298, 'overall_f1': 0.41323648103309124, 'overall_accuracy': 0.6755371575004928}
			------------EPOCH 6---------------
Loss: tensor(761.6447, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(653.4257, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1531.0995, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1402.4016, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(464.7788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1431.1550, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1025.9822, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(755.8931, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(964.3298, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(860.4003, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(538.6897, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1274.0791, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1006.6130, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(587.6912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1268.8313, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1053.8439, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1244.1084, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(734.7938, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2098.3591, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(500.6236, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(368.0404, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(434.9912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(382.6122, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(656.8912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(616.5619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(593.9996, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(534.1886, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(957.2292, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2112.5115, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(706.5211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(588.4209, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(953.2568, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(520.4103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(637.2867, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(696.3187, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(652.1480, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(731.8029, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1073.7700, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1360.5586, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(683.9963, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(692.0250, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(291.2527, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(236.2772, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(385.9642, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(512.1060, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.3985239852398524, 'recall': 0.4462809917355372, 'f1': 0.4210526315789474, 'number': 242}, 'P': {'precision': 0.5105105105105106, 'recall': 0.5074626865671642, 'f1': 0.5089820359281437, 'number': 335}, 'overall_precision': 0.4602649006622517, 'overall_recall': 0.48180242634315423, 'overall_f1': 0.4707874682472481, 'overall_accuracy': 0.711150535514817}
			------------EPOCH 7---------------
Loss: tensor(571.2519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(504.2010, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1013.6766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(970.3027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(335.4908, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1056.4424, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(703.0094, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(611.8691, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(631.2711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(598.2034, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(284.2055, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1012.5756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(502.0334, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(342.4042, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(795.5110, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(694.3066, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(782.8231, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(374.1619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1218.7771, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(278.6331, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(250.4950, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(263.5200, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(217.9206, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(430.4315, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(302.1081, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(414.6218, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(252.7631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(578.8883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1371.0796, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(365.6615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(406.2632, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(617.3845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(298.3627, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(321.8721, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(295.9099, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(343.3906, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(461.0001, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(748.4095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(809.8342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(371.7415, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(565.3467, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(226.7085, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(126.1143, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(251.7196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(272.7567, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.36515513126491644, 'recall': 0.6322314049586777, 'f1': 0.46293494704992433, 'number': 242}, 'P': {'precision': 0.48986486486486486, 'recall': 0.43283582089552236, 'f1': 0.4595879556259905, 'number': 335}, 'overall_precision': 0.4167832167832168, 'overall_recall': 0.5164644714038128, 'overall_f1': 0.4613003095975232, 'overall_accuracy': 0.6516196859189172}
			------------EPOCH 8---------------
Loss: tensor(600.0504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(704.9274, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(922.2738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(983.1412, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(185.4955, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(830.5458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(371.1465, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(412.0747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(328.7888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(354.6634, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(177.6725, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(810.2238, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(655.6923, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(480.4080, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(977.0158, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(793.9059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1039.0520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(539.5673, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1084.4646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(181.0819, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.0066, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(171.4011, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(133.9304, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(285.6035, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(183.5469, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(259.7990, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(119.1596, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(411.6114, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(853.0493, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(225.4177, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(305.9076, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(405.0569, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(159.1324, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(245.7608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(275.4472, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(233.8630, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(400.0670, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(701.6216, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(813.5907, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(389.7685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(572.1120, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(192.0181, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(113.2610, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(240.7197, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(212.3849, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.35891647855530473, 'recall': 0.6570247933884298, 'f1': 0.46423357664233583, 'number': 242}, 'P': {'precision': 0.5425531914893617, 'recall': 0.45671641791044776, 'f1': 0.49594813614262556, 'number': 335}, 'overall_precision': 0.4303448275862069, 'overall_recall': 0.5407279029462738, 'overall_f1': 0.4792626728110599, 'overall_accuracy': 0.6536566134437216}
			------------EPOCH 9---------------
Loss: tensor(480.7710, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(355.8228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(811.5426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(763.0679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(196.4512, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(817.1849, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(549.3560, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(322.7994, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(326.0083, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(266.9874, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.0123, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(614.8120, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(282.3619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(222.1207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(382.5450, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(309.0386, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(381.3239, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(141.4750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(373.9559, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.4639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(183.9725, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(172.8329, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(279.4202, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(551.1477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(697.3059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(268.0909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1006.1648, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3536.1306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1090.1033, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(524.6858, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1034.1091, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(92.1299, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(158.7849, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(178.9762, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(201.1791, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(276.9942, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(337.0045, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(411.2119, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(170.5943, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(809.5462, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(223.3616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(128.0501, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(173.8782, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(199.4398, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.3053097345132743, 'recall': 0.5702479338842975, 'f1': 0.3976945244956772, 'number': 242}, 'P': {'precision': 0.47277936962750716, 'recall': 0.4925373134328358, 'f1': 0.4824561403508772, 'number': 335}, 'overall_precision': 0.3782771535580524, 'overall_recall': 0.5251299826689775, 'overall_f1': 0.4397677793904209, 'overall_accuracy': 0.6027991326631185}
			------------EPOCH 10---------------
Loss: tensor(1371.3922, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(825.6039, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2177.6167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3227.7124, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(421.5125, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1851.8070, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(984.9048, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(946.6840, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(938.8579, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(511.5226, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(178.5957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(760.8683, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(813.2899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(537.1451, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(616.2686, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(775.8914, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(633.5634, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(520.6176, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(880.4086, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(200.6855, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(152.2246, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(214.9459, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(268.9320, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(355.8753, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(253.1938, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(295.4319, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(198.0621, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(552.1442, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1345.6014, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(544.2781, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(427.2913, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(684.9506, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(409.0334, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(535.9916, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(493.5122, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(477.9479, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(711.3004, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(707.8091, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(868.9205, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(353.8823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(506.2634, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(336.3953, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(329.7512, device='cuda:0', grad_fn=<DivBackward0>)
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Evaluating
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				 {'C': {'precision': 0.4056338028169014, 'recall': 0.5950413223140496, 'f1': 0.4824120603015075, 'number': 242}, 'P': {'precision': 0.4734982332155477, 'recall': 0.4, 'f1': 0.4336569579288026, 'number': 335}, 'overall_precision': 0.43573667711598746, 'overall_recall': 0.48180242634315423, 'overall_f1': 0.4576131687242798, 'overall_accuracy': 0.6712661804323543}
			------------EPOCH 11---------------
Loss: tensor(321.9838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(389.0190, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(582.8531, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(596.0168, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(237.8780, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(536.9691, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(261.4370, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(318.8391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(299.7073, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(202.3002, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(162.5320, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(463.1238, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(278.9663, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(212.2486, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(396.2689, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(268.6919, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(390.1207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(316.4606, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(400.5270, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.1512, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(127.6896, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(144.1584, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(233.1602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(284.0882, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(134.1755, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(281.0609, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.4660, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(461.9125, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(637.8557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(216.1247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(243.1967, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(398.8170, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(128.1747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(192.2742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(227.1782, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(187.9345, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(193.0795, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(346.9348, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(369.4862, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(155.6783, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(165.7463, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(106.2606, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.1671, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(110.6046, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(131.4664, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.43213296398891965, 'recall': 0.6446280991735537, 'f1': 0.5174129353233831, 'number': 242}, 'P': {'precision': 0.4660493827160494, 'recall': 0.4507462686567164, 'f1': 0.45827010622154785, 'number': 335}, 'overall_precision': 0.4481751824817518, 'overall_recall': 0.5320623916811091, 'overall_f1': 0.48652931854199677, 'overall_accuracy': 0.6982718969708916}
			------------EPOCH 12---------------
Loss: tensor(156.0362, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(159.0996, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(257.4251, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(322.8060, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(122.4140, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(350.7161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(171.2231, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(149.9467, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(170.5961, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.6725, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(76.9928, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(375.1962, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(116.2208, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.7894, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(207.7333, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(187.8672, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(161.1906, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(87.2725, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(229.6319, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.8689, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.6588, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.5640, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.4688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.8114, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.3367, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(138.1962, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.8732, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(256.0569, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(312.8276, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(112.7701, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(156.4019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(192.1511, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.3214, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(159.2177, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.7056, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.1166, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(175.5242, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(197.6550, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(321.6594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(104.2877, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.7562, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.9163, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.1570, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.7368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.3541, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.428169014084507, 'recall': 0.628099173553719, 'f1': 0.509212730318258, 'number': 242}, 'P': {'precision': 0.5033783783783784, 'recall': 0.44477611940298506, 'f1': 0.4722662440570523, 'number': 335}, 'overall_precision': 0.46236559139784944, 'overall_recall': 0.5216637781629117, 'overall_f1': 0.49022801302931596, 'overall_accuracy': 0.6822393061304948}
			------------EPOCH 13---------------
Loss: tensor(88.1822, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(113.9181, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(131.1746, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(149.0363, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.8630, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(192.8780, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.8373, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.1770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(110.3624, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(92.1618, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.5233, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(291.7985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(143.2635, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.6106, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(151.1687, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.9725, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(105.0328, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.3410, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(132.8118, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.0553, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.1094, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.4685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.0178, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.5608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.0306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(97.8545, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.0323, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(186.8477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(192.8114, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.2495, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.1773, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(112.5440, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.9354, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.6894, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.8134, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.8482, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.5152, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(153.0623, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(156.7919, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.3082, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(366.1937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(138.4510, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.0296, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(106.2970, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.2463, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.45614035087719296, 'recall': 0.5371900826446281, 'f1': 0.493358633776091, 'number': 242}, 'P': {'precision': 0.5561797752808989, 'recall': 0.591044776119403, 'f1': 0.573082489146165, 'number': 335}, 'overall_precision': 0.5117004680187207, 'overall_recall': 0.5684575389948007, 'overall_f1': 0.5385878489326765, 'overall_accuracy': 0.7124646823050135}
			------------EPOCH 14---------------
Loss: tensor(73.0821, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.4521, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(104.1537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(128.3860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.0481, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(130.3599, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(122.1909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.6229, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.7095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.1438, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.6250, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(235.9060, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.0001, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.0809, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(125.5714, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(154.6997, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(201.8102, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.6441, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(949.6985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(226.8485, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.3842, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.4401, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.3460, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.4768, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.3260, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.3695, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.7941, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(166.6487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(440.7066, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(102.2282, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(430.0687, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(649.1765, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(245.8413, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(352.1754, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(207.2764, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(217.0799, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(90.0617, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(110.4081, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(189.7238, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.4102, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.5474, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.9028, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.4592, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.4372, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.2131, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.465625, 'recall': 0.6157024793388429, 'f1': 0.5302491103202847, 'number': 242}, 'P': {'precision': 0.5661538461538461, 'recall': 0.5492537313432836, 'f1': 0.5575757575757575, 'number': 335}, 'overall_precision': 0.5162790697674419, 'overall_recall': 0.5771230502599654, 'overall_f1': 0.5450081833060556, 'overall_accuracy': 0.7220579538734476}
			------------EPOCH 15---------------
Loss: tensor(59.7372, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.6703, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(174.4464, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(145.4258, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.8893, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(183.5830, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.2721, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.5238, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.2470, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(191.0433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.1316, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(269.0854, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(135.1064, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.2574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(171.2315, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(123.4187, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.8739, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.4063, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(154.2427, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.3389, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(131.2031, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(60.7157, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(285.7079, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(133.6835, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(260.3578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.9936, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(410.7591, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(416.6438, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(125.7473, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(453.5912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(244.0443, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.3641, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.0324, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(111.1703, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(108.7734, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(108.7009, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(99.1005, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.1301, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.4044, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(111.9449, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.5608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.8514, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.3291, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(357.2054, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.4915254237288136, 'recall': 0.2396694214876033, 'f1': 0.32222222222222224, 'number': 242}, 'P': {'precision': 0.5494296577946768, 'recall': 0.8626865671641791, 'f1': 0.6713124274099883, 'number': 335}, 'overall_precision': 0.5388198757763976, 'overall_recall': 0.6013864818024264, 'overall_f1': 0.5683865683865684, 'overall_accuracy': 0.7047112162428544}
			------------EPOCH 16---------------
Loss: tensor(1528.1464, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(799.9586, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2486.5120, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1620.6398, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(229.0234, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(614.5784, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(893.2306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(295.0648, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(61.7625, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.3261, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(269.8477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.0668, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.8769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.7031, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.4209, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.1650, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(125.9183, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(60.1738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.4087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.9596, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(142.2423, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(978.9575, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(945.1471, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(509.6550, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(883.0009, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2466.7603, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1759.6813, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(378.2536, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(395.6053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(774.5966, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(243.7396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(176.9410, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(333.0432, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(347.2206, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(153.7526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(192.4613, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(265.6215, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(106.9366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(154.2770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.1076, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.2703, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.1214, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.1893, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.45454545454545453, 'recall': 0.2066115702479339, 'f1': 0.28409090909090906, 'number': 242}, 'P': {'precision': 0.5027829313543599, 'recall': 0.808955223880597, 'f1': 0.620137299771167, 'number': 335}, 'overall_precision': 0.4946070878274268, 'overall_recall': 0.5563258232235702, 'overall_f1': 0.5236541598694944, 'overall_accuracy': 0.6921611143964781}
			------------EPOCH 17---------------
Loss: tensor(524.0485, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(194.0573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(361.7662, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(402.6770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(443.1427, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1953.5801, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2150.5002, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1068.7258, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1036.5870, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1900.9563, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1698.2933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1611.7405, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(913.4225, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(616.3580, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2003.8142, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1400.1802, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(775.1773, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(505.2402, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1240.2504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(338.4167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(111.1933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(116.5173, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(102.3004, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(230.0921, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(165.8123, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(143.7314, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(191.1934, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(642.4502, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(826.4468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(318.7737, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(215.1884, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(515.7510, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(349.1129, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(534.1799, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(673.2258, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(782.1263, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(976.3306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1051.7095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1407.7430, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1243.9768, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1036.3566, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(498.5146, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(335.8385, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(729.0111, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(639.9326, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.3689516129032258, 'recall': 0.756198347107438, 'f1': 0.49593495934959353, 'number': 242}, 'P': {'precision': 0.5357142857142857, 'recall': 0.22388059701492538, 'f1': 0.3157894736842105, 'number': 335}, 'overall_precision': 0.4056603773584906, 'overall_recall': 0.44714038128249567, 'overall_f1': 0.4253915910964551, 'overall_accuracy': 0.6022734739470399}
			------------EPOCH 18---------------
Loss: tensor(528.1401, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(612.2907, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1534.3726, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1260.1820, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(455.9058, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1146.0522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(843.5952, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(239.3456, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(265.5404, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(338.0439, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(185.8508, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(473.5152, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(287.2485, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(287.1393, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(410.0593, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(276.4515, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(660.3730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(321.9771, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(969.5814, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(193.8136, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(351.4215, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(253.7316, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(394.6575, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(385.7385, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(344.4688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(445.6486, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(279.7848, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(612.2100, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1294.2854, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(752.7648, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(467.8014, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(914.9757, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(92.7132, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(205.0119, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(194.9783, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(175.6815, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(162.0404, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(284.7515, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(225.1095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.5920, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.9660, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.9933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.0434, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.5690, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.8318, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.4236111111111111, 'recall': 0.756198347107438, 'f1': 0.543026706231454, 'number': 242}, 'P': {'precision': 0.6572769953051644, 'recall': 0.417910447761194, 'f1': 0.510948905109489, 'number': 335}, 'overall_precision': 0.5007751937984496, 'overall_recall': 0.5597920277296361, 'overall_f1': 0.5286415711947626, 'overall_accuracy': 0.6766541822721598}
			------------EPOCH 19---------------
Loss: tensor(112.5685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(193.8412, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(394.9616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(362.0876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(182.3555, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(570.9698, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(444.3802, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(130.7155, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(167.7665, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(328.9497, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(98.9281, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(372.4349, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(335.2496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(111.0327, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(164.9427, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(159.9511, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(97.0580, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(247.2263, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(487.4381, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(227.4995, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.7486, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.8393, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.9914, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.9259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.7365, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(92.0723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.5285, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(213.5659, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.4829, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.8016, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.9853, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(186.1320, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.7652, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.6806, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(97.8709, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.2111, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.1943, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(106.9976, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(105.4584, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.9095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.6559, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.5915, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1502, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.0747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.3358, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.5202952029520295, 'recall': 0.5826446280991735, 'f1': 0.5497076023391811, 'number': 242}, 'P': {'precision': 0.6358381502890174, 'recall': 0.6567164179104478, 'f1': 0.6461086637298091, 'number': 335}, 'overall_precision': 0.5850891410048622, 'overall_recall': 0.6256499133448874, 'overall_f1': 0.6046901172529313, 'overall_accuracy': 0.7304684933307051}
			------------EPOCH 20---------------
Loss: tensor(54.9590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.6392, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(102.6573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(111.6669, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.7080, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.0282, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.2563, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.3787, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.4300, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.8727, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.9759, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(149.4288, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.6216, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.9494, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.3445, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.3512, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(108.8919, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(160.1586, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.9998, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.0615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.1426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.8048, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.9137, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.3601, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.3592, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.8751, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(150.8195, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(107.8157, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.6787, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.2847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(156.2570, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.2797, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.1173, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.8520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.5619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.4640, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.2131, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.1993, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.4783, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.9792, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.8225, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.3074, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.4362, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.524904214559387, 'recall': 0.5661157024793388, 'f1': 0.5447316103379721, 'number': 242}, 'P': {'precision': 0.6502732240437158, 'recall': 0.7104477611940299, 'f1': 0.6790299572039942, 'number': 335}, 'overall_precision': 0.5980861244019139, 'overall_recall': 0.6499133448873483, 'overall_f1': 0.622923588039867, 'overall_accuracy': 0.7386162034299231}
			------------EPOCH 21---------------
Loss: tensor(32.7661, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.7207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.5043, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.3235, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.6090, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(36.1040, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.6689, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.9261, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.5852, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.3021, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.1193, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.7958, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.6106, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.4186, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.5168, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.4089, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(29.9770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.0301, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.0253, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.5172, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.3695, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(123.4090, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.1828, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.1109, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.6070, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.2927, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(14.5581, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.8332, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.7584, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.7963, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.8293, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.8776, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.2769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.8511, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(27.2696, device='cuda:0', grad_fn=<DivBackward0>)
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Evaluating
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				 {'C': {'precision': 0.5070422535211268, 'recall': 0.5950413223140496, 'f1': 0.5475285171102662, 'number': 242}, 'P': {'precision': 0.6408045977011494, 'recall': 0.6656716417910448, 'f1': 0.6530014641288433, 'number': 335}, 'overall_precision': 0.5806962025316456, 'overall_recall': 0.6360485268630849, 'overall_f1': 0.6071133167907361, 'overall_accuracy': 0.7357250804914909}
			------------EPOCH 22---------------
Loss: tensor(23.9079, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.3965, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.5745, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.5716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.3078, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.6778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.5265, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.9555, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.2849, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.3233, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.2090, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.3446, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.7134, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.1376, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.3434, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.6395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.5820, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.4937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.0019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.1740, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.0750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.0649, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.8940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.1310, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8505, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.5097, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.6617, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(104.3867, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.0516, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.4882, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.9685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.6008, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.3560, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.6923, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.4523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.2458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.5197, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.6833, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.3809, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.3048, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.4524, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.5909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.1106, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.8414, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.1641, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.4899328859060403, 'recall': 0.6033057851239669, 'f1': 0.5407407407407407, 'number': 242}, 'P': {'precision': 0.6491228070175439, 'recall': 0.6626865671641791, 'f1': 0.6558345642540621, 'number': 335}, 'overall_precision': 0.575, 'overall_recall': 0.6377816291161178, 'overall_f1': 0.6047658175842234, 'overall_accuracy': 0.7295485905775675}
			------------EPOCH 23---------------
Loss: tensor(25.5492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.2610, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.8087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.5004, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.3976, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.9429, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.0907, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.2473, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.3555, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.4959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.9329, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.0765, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.9345, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.7110, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.9195, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.6478, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.3860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4501, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.8350, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.0367, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.8878, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.3876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.7635, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.6485, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.8406, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.9646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6025, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(98.0984, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.0967, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.6199, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.8686, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.2677, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.6653, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.7570, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5474, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.6965, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.2572, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.9323, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.8516, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.5003, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.8901, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.2705, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.6012, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.3052, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.7999, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.49158249158249157, 'recall': 0.6033057851239669, 'f1': 0.5417439703153989, 'number': 242}, 'P': {'precision': 0.6326530612244898, 'recall': 0.6477611940298508, 'f1': 0.6401179941002949, 'number': 335}, 'overall_precision': 0.5671875, 'overall_recall': 0.6291161178509532, 'overall_f1': 0.5965488907148726, 'overall_accuracy': 0.7298114199356068}
			------------EPOCH 24---------------
Loss: tensor(23.4167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.9203, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.9232, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.6119, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.5072, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.5996, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.7817, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.1161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.2649, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.6763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.8470, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.2940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.8861, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.7954, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.3219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.9073, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.6919, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.4709, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.3485, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.6399, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.3395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.0696, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9148, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.7116, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6404, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.1019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3092, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.8623, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.0387, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.6113, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.0299, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.4948, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.4869, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.2783, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1407, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.2477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.5862, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.8285, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.7740, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.0888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.7479, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.0002, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.9560, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5092, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.7874, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.4983164983164983, 'recall': 0.6115702479338843, 'f1': 0.549165120593692, 'number': 242}, 'P': {'precision': 0.6374269005847953, 'recall': 0.6507462686567164, 'f1': 0.6440177252584933, 'number': 335}, 'overall_precision': 0.5727699530516432, 'overall_recall': 0.634315424610052, 'overall_f1': 0.6019736842105263, 'overall_accuracy': 0.7326368355345292}
			------------EPOCH 25---------------
Loss: tensor(18.1502, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.5260, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.8504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.8356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.7736, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.0631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.0364, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.7507, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.9041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.5586, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.5390, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.8615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.9790, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3269, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.9779, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.8882, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.6279, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5779, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.6217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2990, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.1062, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.5057, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.7950, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.4842, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.0905, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4159, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.3296, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.8885, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.9477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.5786, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.4022, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.9564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.1323, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.4171, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.5392, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.4132, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.6561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.9991, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.7574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.5128, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.3672, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.5532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.1853, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.4983277591973244, 'recall': 0.6157024793388429, 'f1': 0.5508317929759704, 'number': 242}, 'P': {'precision': 0.6337209302325582, 'recall': 0.6507462686567164, 'f1': 0.642120765832106, 'number': 335}, 'overall_precision': 0.5707620528771384, 'overall_recall': 0.6360485268630849, 'overall_f1': 0.601639344262295, 'overall_accuracy': 0.7332282015901176}


		-------------RUN 4-----------
			------------EPOCH 1---------------
Loss: tensor(4563.6743, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4669.4297, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2383.0090, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2949.1758, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3615.7124, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3006.8596, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1847.6927, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4326.2061, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2693.8105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2293.6162, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2519.0620, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2988.6448, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3599.7544, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1531.6592, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1471.0798, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2309.8823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2651.9341, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2495.8999, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1321.9167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2648.4448, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1094.2317, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2026.3242, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1864.4620, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1848.2426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1638.3291, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1061.7520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2789.1416, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2808.6621, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(901.3407, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2481.5986, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2023.4619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1644.6222, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1311.2715, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1201.9614, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2913.6016, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1967.3149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1704.2107, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2563.2695, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4266.0117, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2855.0791, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2575.1968, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2095.7241, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1563.7322, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4289.9775, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2041.1412, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.10504201680672269, 'recall': 0.0641025641025641, 'f1': 0.07961783439490445, 'number': 390}, 'P': {'precision': 0.13797814207650272, 'recall': 0.20824742268041238, 'f1': 0.1659819227608874, 'number': 485}, 'overall_precision': 0.12989690721649486, 'overall_recall': 0.144, 'overall_f1': 0.13658536585365855, 'overall_accuracy': 0.5426567656765676}
			------------EPOCH 2---------------
Loss: tensor(3106.5747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3051.0132, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1583.1047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1946.3137, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2532.9744, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2162.8198, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1186.6373, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2816.1929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1888.7909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1704.0583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1867.7639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2204.7070, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2518.8677, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1076.7068, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1120.1980, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1711.2993, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2118.3633, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2075.4241, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1039.5568, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1959.9458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(874.7845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1707.3617, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1819.2195, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1695.7532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1476.9966, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(837.4572, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2250.6021, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2237.8989, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(731.2174, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1903.2792, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1544.3700, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1279.1351, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1111.8225, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(998.6906, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2450.8308, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1496.4409, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1411.3911, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2056.0542, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3731.8596, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2489.3396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2282.8604, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1812.1244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1174.4507, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3440.3242, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1615.6543, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.13688212927756654, 'recall': 0.18461538461538463, 'f1': 0.1572052401746725, 'number': 390}, 'P': {'precision': 0.21544715447154472, 'recall': 0.32783505154639175, 'f1': 0.26001635322976285, 'number': 485}, 'overall_precision': 0.18275316455696203, 'overall_recall': 0.264, 'overall_f1': 0.21598877980364659, 'overall_accuracy': 0.6020214521452145}
			------------EPOCH 3---------------
Loss: tensor(2512.1396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2460.4678, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1391.6487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1668.6337, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2145.5400, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1967.1597, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(888.0232, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2280.8447, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1583.7109, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1486.4535, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1548.4164, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1809.9835, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2033.9167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(925.8373, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(915.4260, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1490.2821, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1829.5723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1793.3551, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(862.7081, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1538.6294, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(736.4333, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1296.5020, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1475.2751, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1367.6532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1177.8561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(756.9579, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1816.6907, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1773.8391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(618.0152, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1598.2780, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1345.4009, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1094.5743, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(978.0766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(891.2076, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2050.2019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1177.9341, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1107.6262, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1712.8213, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3008.8813, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1988.6534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1892.3464, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1502.6475, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(882.0093, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2651.5510, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1445.9767, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.11363636363636363, 'recall': 0.10256410256410256, 'f1': 0.1078167115902965, 'number': 390}, 'P': {'precision': 0.2673130193905817, 'recall': 0.3979381443298969, 'f1': 0.31980115990058, 'number': 485}, 'overall_precision': 0.2169459962756052, 'overall_recall': 0.2662857142857143, 'overall_f1': 0.23909697280656747, 'overall_accuracy': 0.6018564356435644}
			------------EPOCH 4---------------
Loss: tensor(2147.2437, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2172.1853, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1225.0416, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1626.6265, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1947.7119, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1542.8076, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(661.9966, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1968.1814, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1204.9534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1186.0443, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1184.8265, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1374.3704, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1573.8792, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(737.4689, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(704.1348, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1275.0330, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1659.4468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1716.9094, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(748.0050, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1331.2150, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(646.4456, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(978.2439, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1193.7935, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1058.4810, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1008.3857, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(583.4442, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1767.5741, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1648.7905, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(540.8069, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1297.8135, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1059.2051, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(873.4410, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(753.9724, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(663.3901, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1819.3225, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(951.6366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(832.3610, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1423.6462, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2572.4844, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1620.1064, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1412.8718, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1232.5981, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(741.8273, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2324.0312, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1168.6614, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.19607843137254902, 'recall': 0.1794871794871795, 'f1': 0.18741633199464525, 'number': 390}, 'P': {'precision': 0.264919941775837, 'recall': 0.3752577319587629, 'f1': 0.310580204778157, 'number': 485}, 'overall_precision': 0.2413793103448276, 'overall_recall': 0.288, 'overall_f1': 0.26263678999478896, 'overall_accuracy': 0.6285478547854786}
			------------EPOCH 5---------------
Loss: tensor(1745.2888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1854.8915, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1019.5045, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1345.8712, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1564.3232, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1311.4976, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(521.0211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1695.7539, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(957.4791, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(926.6593, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(962.4921, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1149.8865, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1253.2213, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(630.2291, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(559.4569, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1037.1099, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1381.6134, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1492.3501, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(500.1224, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1069.8853, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(588.3151, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(716.0488, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(716.7532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(552.4357, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(699.5902, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(522.6439, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1420.6816, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1318.3961, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(467.7040, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1084.5410, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(808.5885, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(630.9329, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(580.4952, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(487.1761, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1548.7186, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(755.3894, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(715.9384, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1126.1090, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2146.0696, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1332.4197, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1161.2172, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1043.4678, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(592.9409, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1829.6127, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1130.9917, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.16152897657213316, 'recall': 0.33589743589743587, 'f1': 0.21815154038301413, 'number': 390}, 'P': {'precision': 0.28957528957528955, 'recall': 0.15463917525773196, 'f1': 0.20161290322580644, 'number': 485}, 'overall_precision': 0.1925233644859813, 'overall_recall': 0.23542857142857143, 'overall_f1': 0.21182519280205658, 'overall_accuracy': 0.529950495049505}
			------------EPOCH 6---------------
Loss: tensor(1844.6910, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1776.8572, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(973.2615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1217.5273, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1318.3088, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1074.2141, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(400.4316, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1415.0304, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(844.8752, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(774.1161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(755.5464, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(866.7410, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1052.4082, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(657.7004, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(519.0936, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1012.6837, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1353.8425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1296.6581, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(400.1118, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(947.5284, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(413.4287, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(510.1834, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(601.0490, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(521.3832, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(376.4977, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(443.5401, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(845.1841, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(876.6639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(483.6006, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(850.3613, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(721.5320, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(565.4519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(446.2740, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(470.2911, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1260.2889, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(689.0128, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(674.5018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1043.0510, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2052.6255, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1160.9667, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1013.5219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(937.0552, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(473.2615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1517.2156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1173.3362, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.378125, 'recall': 0.31025641025641026, 'f1': 0.3408450704225352, 'number': 390}, 'P': {'precision': 0.4191374663072776, 'recall': 0.6412371134020619, 'f1': 0.5069274653626732, 'number': 485}, 'overall_precision': 0.4067796610169492, 'overall_recall': 0.4937142857142857, 'overall_f1': 0.4460505937016004, 'overall_accuracy': 0.679950495049505}
			------------EPOCH 7---------------
Loss: tensor(1742.8584, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1787.8987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1071.8149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1168.5315, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(887.3459, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(667.0580, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(263.9763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1013.3690, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(788.0052, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(728.6158, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1331.5308, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1462.2975, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1391.8728, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(669.2138, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(510.6716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(890.9213, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1001.8763, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(339.3595, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(891.5082, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(329.0494, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(400.6335, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(376.7930, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(291.6521, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(398.0491, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(840.7675, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(340.4150, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1002.1238, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1666.3130, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1004.0409, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(960.8135, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(737.4651, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(406.1136, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1287.8655, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(765.7274, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.3967479674796748, 'recall': 0.6256410256410256, 'f1': 0.48557213930348253, 'number': 390}, 'P': {'precision': 0.5295358649789029, 'recall': 0.5175257731958763, 'f1': 0.5234619395203337, 'number': 485}, 'overall_precision': 0.45454545454545453, 'overall_recall': 0.5657142857142857, 'overall_f1': 0.5040733197556008, 'overall_accuracy': 0.6942244224422442}
			------------EPOCH 8---------------
Loss: tensor(982.0848, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1055.4095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(595.0452, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(849.6810, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(844.4113, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(578.0665, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.1507, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(863.7510, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(746.6830, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(464.8025, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(605.0861, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(635.2723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(933.0583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(487.8431, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(366.2205, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(475.9209, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1215.1593, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1447.1533, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(369.2529, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(863.0061, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(387.6848, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(608.3984, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(496.1424, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(397.8629, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(228.3463, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(473.8244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(382.1197, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(560.9285, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(209.9501, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(509.9809, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(384.7352, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(276.1051, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(143.5213, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.6746, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(672.6530, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(307.7207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(350.5027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(726.6685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1261.0544, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(718.7748, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(647.3702, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(707.4708, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(310.1324, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1022.2296, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(665.8721, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.3633720930232558, 'recall': 0.6410256410256411, 'f1': 0.463821892393321, 'number': 390}, 'P': {'precision': 0.5844444444444444, 'recall': 0.5422680412371134, 'f1': 0.562566844919786, 'number': 485}, 'overall_precision': 0.4507908611599297, 'overall_recall': 0.5862857142857143, 'overall_f1': 0.5096870342771983, 'overall_accuracy': 0.654496699669967}
			------------EPOCH 9---------------
Loss: tensor(757.2159, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(921.2631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(459.3046, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(727.1901, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(747.4240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(578.4536, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(143.1270, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(711.2737, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(692.1766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(381.3726, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(445.4032, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(481.9304, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(556.7850, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(234.0914, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(222.0729, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(373.3899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(423.8040, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(600.7242, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(146.5385, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(350.4847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(213.3650, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(207.6066, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(255.9351, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(181.4660, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(172.5964, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(301.1017, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(295.9363, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(308.0105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(213.9864, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(755.3834, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(738.4009, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(493.5934, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(221.6669, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(206.8588, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(414.0199, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(401.9802, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(260.8811, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(480.3430, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(932.6584, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(478.6121, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(530.0582, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(533.9889, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(276.2390, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(981.4579, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(507.3417, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.30049261083743845, 'recall': 0.6256410256410256, 'f1': 0.40599001663893514, 'number': 390}, 'P': {'precision': 0.5689655172413793, 'recall': 0.3402061855670103, 'f1': 0.42580645161290326, 'number': 485}, 'overall_precision': 0.37114337568058076, 'overall_recall': 0.4674285714285714, 'overall_f1': 0.41375821952453207, 'overall_accuracy': 0.5910891089108911}
			------------EPOCH 10---------------
Loss: tensor(525.0067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1014.5098, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(433.0639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(536.3735, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(654.8467, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(525.4983, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(175.8540, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(581.5250, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(765.5426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(515.3913, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(569.0156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(730.1550, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(613.2612, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(191.8392, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(256.5167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(415.9820, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(565.4620, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(686.1710, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(175.3642, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(439.4039, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(237.2112, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(177.8064, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(202.2211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.5381, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(137.1935, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(194.1583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(251.3649, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(365.5861, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(129.0688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(279.8439, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(202.5484, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(149.2521, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(104.0443, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(163.1766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(259.8311, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(173.4179, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(160.9032, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(272.0087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(446.3041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(418.4135, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(502.4002, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(442.8101, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(174.0260, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(674.4083, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(536.3634, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.3888888888888889, 'recall': 0.5025641025641026, 'f1': 0.4384787472035795, 'number': 390}, 'P': {'precision': 0.5211581291759465, 'recall': 0.4824742268041237, 'f1': 0.5010706638115632, 'number': 485}, 'overall_precision': 0.45120671563483733, 'overall_recall': 0.49142857142857144, 'overall_f1': 0.47045951859956237, 'overall_accuracy': 0.6891914191419142}
			------------EPOCH 11---------------
Loss: tensor(492.9309, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(574.7754, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(478.5922, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(512.8097, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(401.7143, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(316.4545, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.5813, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(488.1660, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(434.1909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(305.2949, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(262.7939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(413.9626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(434.8181, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(107.5813, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(165.0798, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(276.6085, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(305.6917, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(411.9028, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.6911, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(246.9171, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(127.9539, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.9473, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(141.2323, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.5022, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(144.4537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(214.7642, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(162.5828, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(117.4057, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(145.0545, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(497.2750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(268.4280, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(237.0902, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(87.1190, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.7092, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(332.0164, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(193.8155, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(144.5467, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(197.9698, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(449.8452, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(427.8428, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(301.1804, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(247.5650, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(131.6040, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(321.5909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(296.3158, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.3857331571994716, 'recall': 0.7487179487179487, 'f1': 0.5091543156059286, 'number': 390}, 'P': {'precision': 0.6244725738396625, 'recall': 0.30515463917525776, 'f1': 0.40997229916897515, 'number': 485}, 'overall_precision': 0.4426559356136821, 'overall_recall': 0.5028571428571429, 'overall_f1': 0.4708400214018192, 'overall_accuracy': 0.6217409240924092}
			------------EPOCH 12---------------
Loss: tensor(285.8619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(349.3271, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(249.8875, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(313.5698, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(338.8876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(156.4184, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.8397, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(340.3210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(233.9131, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(148.0243, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(161.2866, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(177.1266, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(318.7098, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.5749, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.6815, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(124.5684, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(148.9241, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(255.4537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.2166, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(154.0099, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.7138, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.1749, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(115.7841, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.0899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.3425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.6210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.5750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.8633, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.8853, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(181.6233, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(126.8412, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(91.1538, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.6643, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.7495, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.7805, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.9278, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.5843, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(205.6463, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(201.8643, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(314.3117, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(676.8957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(522.1583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(236.4828, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(667.1364, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(547.8668, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.45916114790286977, 'recall': 0.5333333333333333, 'f1': 0.49347568208778175, 'number': 390}, 'P': {'precision': 0.5375939849624061, 'recall': 0.5896907216494846, 'f1': 0.5624385447394297, 'number': 485}, 'overall_precision': 0.5015228426395939, 'overall_recall': 0.5645714285714286, 'overall_f1': 0.5311827956989247, 'overall_accuracy': 0.7223597359735974}
			------------EPOCH 13---------------
Loss: tensor(215.4955, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(283.2231, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(224.3325, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(215.1395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(125.2553, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(99.8675, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.8621, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(262.9948, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(266.7377, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(225.4898, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(142.3425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(188.0158, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(89.6465, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(177.2578, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(260.9314, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(158.0896, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(579.9719, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(738.3226, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(567.7048, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(267.7333, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(148.7769, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(459.1384, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(377.7717, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.46859903381642515, 'recall': 0.49743589743589745, 'f1': 0.4825870646766169, 'number': 390}, 'P': {'precision': 0.5719557195571956, 'recall': 0.6391752577319587, 'f1': 0.6037000973709835, 'number': 485}, 'overall_precision': 0.5271966527196653, 'overall_recall': 0.576, 'overall_f1': 0.5505188421627526, 'overall_accuracy': 0.7313118811881189}
			------------EPOCH 14---------------
Loss: tensor(269.9195, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(317.9521, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(154.4155, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(211.9307, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(458.2747, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.44285714285714284, 'recall': 0.15897435897435896, 'f1': 0.2339622641509434, 'number': 390}, 'P': {'precision': 0.4036697247706422, 'recall': 0.8164948453608247, 'f1': 0.5402455661664393, 'number': 485}, 'overall_precision': 0.4085637823371989, 'overall_recall': 0.5234285714285715, 'overall_f1': 0.45891783567134264, 'overall_accuracy': 0.63246699669967}
			------------EPOCH 15---------------
Loss: tensor(1985.2527, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1995.3042, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1518.8784, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(611.0747, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.4197292069632495, 'recall': 0.5564102564102564, 'f1': 0.47850055126791624, 'number': 390}, 'P': {'precision': 0.5159914712153518, 'recall': 0.49896907216494846, 'f1': 0.5073375262054507, 'number': 485}, 'overall_precision': 0.46551724137931033, 'overall_recall': 0.5245714285714286, 'overall_f1': 0.4932831810854379, 'overall_accuracy': 0.7162953795379537}
			------------EPOCH 16---------------
Loss: tensor(468.5825, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(480.9588, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(306.6718, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(331.5502, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.48737373737373735, 'recall': 0.4948717948717949, 'f1': 0.4910941475826972, 'number': 390}, 'P': {'precision': 0.5380952380952381, 'recall': 0.6989690721649484, 'f1': 0.6080717488789237, 'number': 485}, 'overall_precision': 0.5185185185185185, 'overall_recall': 0.608, 'overall_f1': 0.5597054182009469, 'overall_accuracy': 0.7278052805280528}
			------------EPOCH 17---------------
Loss: tensor(205.0694, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(222.0692, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(173.5621, device='cuda:0', grad_fn=<DivBackward0>)
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Evaluating
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				 {'C': {'precision': 0.5146341463414634, 'recall': 0.541025641025641, 'f1': 0.5275, 'number': 390}, 'P': {'precision': 0.554954954954955, 'recall': 0.6350515463917525, 'f1': 0.5923076923076923, 'number': 485}, 'overall_precision': 0.5378238341968912, 'overall_recall': 0.5931428571428572, 'overall_f1': 0.5641304347826087, 'overall_accuracy': 0.7323844884488449}
			------------EPOCH 18---------------
Loss: tensor(135.6053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(132.2148, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(47.8723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.1669, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(102.3974, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(122.7252, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.2997, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.9292, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(104.8581, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.8432, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.5494186046511628, 'recall': 0.4846153846153846, 'f1': 0.5149863760217984, 'number': 390}, 'P': {'precision': 0.543035993740219, 'recall': 0.7154639175257732, 'f1': 0.6174377224199288, 'number': 485}, 'overall_precision': 0.5452695829094608, 'overall_recall': 0.6125714285714285, 'overall_f1': 0.5769644779332614, 'overall_accuracy': 0.7333333333333333}
			------------EPOCH 19---------------
Loss: tensor(80.5052, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.3336, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.5698, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.3466, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.0434, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.5904, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.1937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.4192, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.6892, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.2044, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.1880, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.8015, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(155.1044, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.3965, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.1694, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.4865, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.4101, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(92.4847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.3929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.4867, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.8467, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.2260, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.5798, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.9723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.0513, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.1390, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.3442, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.1924, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.9967, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.7509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.6378, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.6722, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.6706, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.7296, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.8945, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.3847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.4845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.0079, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.3613, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.7468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.3762, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.8015, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.1000, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(90.2162, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.2849, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.5184275184275184, 'recall': 0.541025641025641, 'f1': 0.5294855708908406, 'number': 390}, 'P': {'precision': 0.5549828178694158, 'recall': 0.6659793814432989, 'f1': 0.60543580131209, 'number': 485}, 'overall_precision': 0.5399393326592518, 'overall_recall': 0.6102857142857143, 'overall_f1': 0.572961373390558, 'overall_accuracy': 0.7305693069306931}
			------------EPOCH 20---------------
Loss: tensor(66.9957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.7090, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.2200, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.5447, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.1368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.2629, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.9724, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.8429, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.7982, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.5347, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.2899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.2466, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(135.6774, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.4143, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.3492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.7545, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.2098, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.6489, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2449, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.6918, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.4644, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.8180, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.0803, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.5334, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.3620, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.2742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.7090, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.2452, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.2720, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.3105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.9247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.8208, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.8069, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8316, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.0893, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4320, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.8833, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.4744, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.2982, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.7976, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.5063, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.6243, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.9149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.9880, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.5196078431372549, 'recall': 0.5435897435897435, 'f1': 0.531328320802005, 'number': 390}, 'P': {'precision': 0.5594405594405595, 'recall': 0.6597938144329897, 'f1': 0.6054872280037843, 'number': 485}, 'overall_precision': 0.5428571428571428, 'overall_recall': 0.608, 'overall_f1': 0.5735849056603773, 'overall_accuracy': 0.7283415841584159}
			------------EPOCH 21---------------
Loss: tensor(55.5855, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.3906, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.7073, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.5509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.5376, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.2532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.0276, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.0677, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.9636, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.5003, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.1728, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.0852, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(120.1913, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.8049, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.2360, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.3997, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.0747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.6815, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3022, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.5741, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.2437, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.5288, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1837, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.7333, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.8506, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.7063, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.4201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4818, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.0080, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.5595, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.0553, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.3875, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.4991, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.0394, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.5413, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.1176, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5172, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.0619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.0520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.3069, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.5777, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.6590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.9598, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.7699, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.5710, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.5123152709359606, 'recall': 0.5333333333333333, 'f1': 0.5226130653266332, 'number': 390}, 'P': {'precision': 0.5636998254799301, 'recall': 0.6659793814432989, 'f1': 0.610586011342155, 'number': 485}, 'overall_precision': 0.5423901940755873, 'overall_recall': 0.6068571428571429, 'overall_f1': 0.5728155339805825, 'overall_accuracy': 0.7287541254125413}
			------------EPOCH 22---------------
Loss: tensor(37.9196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.9996, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.8346, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.0680, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.8352, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.6807, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.8978, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.0930, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.4435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.5422, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1176, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.7700, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(107.1091, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.8473, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.5838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.2916, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.1550, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.1712, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(13.0747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.8300, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.1741, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.0848, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(10.3414, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.1874, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(10.4281, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.1330, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.0303, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.4810, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.7697, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.6627, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5720, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.3564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.4531, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.4526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.0446, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.6873, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.7186, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.4628, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.5864, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(81.5426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.7346, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.5075757575757576, 'recall': 0.5153846153846153, 'f1': 0.5114503816793893, 'number': 390}, 'P': {'precision': 0.5489864864864865, 'recall': 0.6701030927835051, 'f1': 0.6035283194057568, 'number': 485}, 'overall_precision': 0.5323886639676113, 'overall_recall': 0.6011428571428571, 'overall_f1': 0.5646806226516371, 'overall_accuracy': 0.7268564356435644}
			------------EPOCH 23---------------
Loss: tensor(38.8074, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.6584, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.4647, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.0678, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.5977, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6618, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(11.6405, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(14.3630, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(10.4665, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(14.1034, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(25.5711, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(23.7223, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(39.9442, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.4785, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.9748, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.1398, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.5028, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.1295, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.5098522167487685, 'recall': 0.5307692307692308, 'f1': 0.5201005025125627, 'number': 390}, 'P': {'precision': 0.5460750853242321, 'recall': 0.6597938144329897, 'f1': 0.5975723622782446, 'number': 485}, 'overall_precision': 0.53125, 'overall_recall': 0.6022857142857143, 'overall_f1': 0.564542046063203, 'overall_accuracy': 0.7263201320132013}
			------------EPOCH 24---------------
Loss: tensor(30.4820, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.7025, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.8289, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.1215, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.9253, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.7585, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.7248, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(20.4902, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5101, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.1691, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.3902, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.3660, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5625, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.0514, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.7226, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.7756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3699, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.9310, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.6194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5717, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.3014, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.2146, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.2959, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.0845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.8641, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.2170, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.8909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3824, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.0883, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.8962, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.9423, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.5804, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.1896, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.7378, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.7920, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.6445, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.2963, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.4649, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.1208, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.1611, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.0252, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.7891, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.8947, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.6407, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.5220588235294118, 'recall': 0.5461538461538461, 'f1': 0.5338345864661654, 'number': 390}, 'P': {'precision': 0.5621716287215411, 'recall': 0.6618556701030928, 'f1': 0.6079545454545454, 'number': 485}, 'overall_precision': 0.5454545454545454, 'overall_recall': 0.6102857142857143, 'overall_f1': 0.5760517799352751, 'overall_accuracy': 0.7263613861386139}
			------------EPOCH 25---------------
Loss: tensor(26.6738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.6240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.2338, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.0121, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.3678, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.1780, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.5198, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.9679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.5282, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.7424, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.3247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.5272, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.6216, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.3157, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.7983, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.5352, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.8810, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.6941, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.5125, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5820, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.3197, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6546, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.5020, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.7274, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3.0366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8703, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.2851, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9237, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.2380, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.7312, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.4034, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.3455, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.0714, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.0148, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.9985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.0147, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5436, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.5641, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.9960, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.7440, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.1097, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.5141, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.2514, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.5253012048192771, 'recall': 0.558974358974359, 'f1': 0.5416149068322982, 'number': 390}, 'P': {'precision': 0.5571177504393673, 'recall': 0.6536082474226804, 'f1': 0.6015180265654648, 'number': 485}, 'overall_precision': 0.5436991869918699, 'overall_recall': 0.6114285714285714, 'overall_f1': 0.5755782678859601, 'overall_accuracy': 0.7265676567656766}


		-------------RUN 5-----------
			------------EPOCH 1---------------
Loss: tensor(3077.3965, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4742.5630, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3795.6575, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3128.5183, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2292.0698, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3574.8113, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2257.4102, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6245.2075, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2862.5146, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2489.3364, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1506.3623, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3427.1553, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3773.4573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1838.9778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7318.9492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4246.2510, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3536.9272, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3281.4790, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2895.5667, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2516.1814, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2915.6670, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4496.0439, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2554.3433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3707.2500, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2279.9626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3249.0117, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4857.1772, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3603.5083, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2882.7544, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1894.7394, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2366.3430, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3150.6460, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3067.3687, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1877.0101, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1777.9037, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2784.9143, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2778.9270, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1845.9048, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2136.7271, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2841.4092, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1857.1711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1882.1981, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2256.3013, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2104.8047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1391.9952, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1612.3391, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.0938375350140056, 'recall': 0.29385964912280704, 'f1': 0.14225053078556263, 'number': 228}, 'P': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 271}, 'overall_precision': 0.09331476323119778, 'overall_recall': 0.1342685370741483, 'overall_f1': 0.11010682004930156, 'overall_accuracy': 0.40358314004638884}
			------------EPOCH 2---------------
Loss: tensor(2154.9304, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3174.4243, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2491.2629, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2143.8960, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1664.4150, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2516.9312, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1554.4374, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4422.1318, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2151.4155, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1874.0515, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1132.3286, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2555.8948, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2982.4326, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1337.4116, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5536.0605, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3198.2224, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2660.5146, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2378.1040, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1988.3293, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1849.2836, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2414.3286, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3977.5764, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2121.4360, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2671.4697, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1773.6665, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2970.1455, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4200.4019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3083.3691, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2463.0977, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1670.0095, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2048.6963, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2711.8215, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2608.6226, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1557.5172, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1507.8984, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2209.9465, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2342.3508, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1646.2607, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1908.9083, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2545.6328, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1756.3887, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1737.8928, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2081.1426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1959.9744, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1275.4441, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1319.0757, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
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Evaluating
				 {'C': {'precision': 0.07779171894604768, 'recall': 0.2719298245614035, 'f1': 0.12097560975609756, 'number': 228}, 'P': {'precision': 0.2191780821917808, 'recall': 0.11808118081180811, 'f1': 0.15347721822541965, 'number': 271}, 'overall_precision': 0.09968186638388123, 'overall_recall': 0.18837675350701402, 'overall_f1': 0.130374479889043, 'overall_accuracy': 0.5027593377589379}
			------------EPOCH 3---------------
Loss: tensor(1939.8129, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2718.9644, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2055.9431, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1715.8463, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1455.6459, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2279.7947, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1306.9277, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3736.4377, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1680.4880, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1524.8578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1021.4802, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2189.6321, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2622.7197, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1129.4971, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5022.5898, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2584.5591, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2227.8582, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2100.3386, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1757.7015, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1578.3582, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1967.7275, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3314.7212, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1770.3331, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2274.1089, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1592.5214, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2557.4504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3458.4114, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2661.3259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2205.9619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1504.4666, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1884.4862, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2461.3311, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2372.3623, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1311.3486, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1355.9907, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1915.8676, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2002.7144, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1505.4067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1797.2148, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2307.4756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1489.2169, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1474.9766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1749.7158, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1741.6218, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1053.3020, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1057.8344, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
Evaluating
				 {'C': {'precision': 0.18778625954198475, 'recall': 0.5394736842105263, 'f1': 0.2785956964892412, 'number': 228}, 'P': {'precision': 0.4810126582278481, 'recall': 0.14022140221402213, 'f1': 0.2171428571428571, 'number': 271}, 'overall_precision': 0.21934604904632152, 'overall_recall': 0.3226452905811623, 'overall_f1': 0.2611516626115166, 'overall_accuracy': 0.5156362473006478}
			------------EPOCH 4---------------
Loss: tensor(1803.5405, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2321.1187, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1715.7229, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1363.2129, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1248.9061, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2090.4253, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1068.2103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3315.8594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1427.2881, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1364.2665, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(965.5547, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1939.0157, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2292.9463, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(999.5977, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4525.6045, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2074.4656, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1878.7933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1713.7446, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1374.4246, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1339.0215, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1591.3247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2738.4839, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1486.7828, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1724.7733, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1334.3826, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2199.6606, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2890.5195, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2275.8174, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1854.4739, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1284.6908, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1630.3423, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2105.7788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2080.5669, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1167.6555, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1063.3337, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1605.7456, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1631.5515, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1333.8148, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1631.4357, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1993.0940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(955.6200, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(946.5121, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1114.5720, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1360.8193, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(889.6567, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(827.1373, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
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				 {'C': {'precision': 0.14795008912655971, 'recall': 0.36403508771929827, 'f1': 0.21039290240811154, 'number': 228}, 'P': {'precision': 0.3930635838150289, 'recall': 0.25092250922509224, 'f1': 0.30630630630630634, 'number': 271}, 'overall_precision': 0.20572207084468666, 'overall_recall': 0.3026052104208417, 'overall_f1': 0.24493106244931065, 'overall_accuracy': 0.5785011597216668}
			------------EPOCH 5---------------
Loss: tensor(1452.3011, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1852.6868, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1400.8439, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1128.2903, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(922.5535, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1782.7445, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(793.8105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2424.5830, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1200.7898, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1261.2838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(763.9020, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1342.7854, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1779.4167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(791.9965, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3833.6663, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1528.6194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1411.3878, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1364.0061, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1028.4761, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1059.6260, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1086.5181, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2018.8445, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1126.5601, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1327.2377, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1018.8982, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1574.5364, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2031.7146, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1757.4531, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1423.3256, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1009.0525, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1360.7686, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1452.5933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1602.4114, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(942.9016, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(756.8885, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1304.8760, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1220.1348, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1119.2107, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1257.1486, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1480.3557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(512.1632, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(599.9172, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(574.3251, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(969.4106, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(680.0806, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(529.8355, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
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				 {'C': {'precision': 0.2849740932642487, 'recall': 0.4824561403508772, 'f1': 0.3583061889250814, 'number': 228}, 'P': {'precision': 0.46551724137931033, 'recall': 0.4981549815498155, 'f1': 0.48128342245989303, 'number': 271}, 'overall_precision': 0.3624260355029586, 'overall_recall': 0.4909819639278557, 'overall_f1': 0.41702127659574467, 'overall_accuracy': 0.6603215228345197}
			------------EPOCH 6---------------
Loss: tensor(1101.7029, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1366.2759, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1093.5265, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(861.7099, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(627.2607, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1316.0129, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(528.2247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1763.7542, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(981.6083, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(958.7548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(521.5745, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1069.6018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1524.1766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(762.3319, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3532.4033, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1378.5258, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(996.5643, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1042.1844, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(779.0460, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(744.6521, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1058.9214, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2189.8457, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1105.2640, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1168.4603, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(917.5927, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1576.9069, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1915.5715, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1577.0579, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1036.7102, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(655.2260, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(887.9983, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1004.2123, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1314.0862, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(692.4419, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(581.2388, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1076.4512, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(853.8040, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(925.4664, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(901.3957, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1098.7383, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(434.4634, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(497.8765, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(461.2147, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(996.9401, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(502.0125, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(411.5617, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
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				 {'C': {'precision': 0.3320610687022901, 'recall': 0.3815789473684211, 'f1': 0.3551020408163265, 'number': 228}, 'P': {'precision': 0.4699140401146132, 'recall': 0.6051660516605166, 'f1': 0.5290322580645161, 'number': 271}, 'overall_precision': 0.41080196399345337, 'overall_recall': 0.503006012024048, 'overall_f1': 0.45225225225225224, 'overall_accuracy': 0.7311845157162281}
			------------EPOCH 7---------------
Loss: tensor(741.0247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1088.0625, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(909.6871, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(818.4119, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(484.0677, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1135.5872, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(433.3730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1431.2759, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(948.1575, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(952.0356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(421.7148, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(714.9728, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1281.2380, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(610.2938, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2379.0347, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(690.9839, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(891.1672, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1226.2327, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(876.4043, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(713.8338, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(733.9674, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1493.1931, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(611.3615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1033.2399, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(756.9904, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(910.4381, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1243.5859, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1010.9973, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(921.7463, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(588.2003, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(864.7157, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(962.0590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1502.7607, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(755.2471, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(774.7242, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1212.6636, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1007.2343, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(882.4653, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1034.2976, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1102.9458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(341.7591, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(455.4934, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(383.4315, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(728.2616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(565.9901, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(456.7174, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
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Evaluating
				 {'C': {'precision': 0.16666666666666666, 'recall': 0.2850877192982456, 'f1': 0.21035598705501618, 'number': 228}, 'P': {'precision': 0.3390804597701149, 'recall': 0.2177121771217712, 'f1': 0.2651685393258427, 'number': 271}, 'overall_precision': 0.2198581560283688, 'overall_recall': 0.24849699398797595, 'overall_f1': 0.2333019755409219, 'overall_accuracy': 0.5947372630568664}
			------------EPOCH 8---------------
Loss: tensor(1548.7832, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2240.3081, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1829.9211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1981.5409, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(467.6354, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(864.1619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(510.8867, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1417.6843, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(767.6577, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(758.2936, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(367.7866, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(607.4386, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1467.5565, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(529.1307, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2333.4058, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(895.3558, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(857.9061, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(946.4158, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(649.0596, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(535.8018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(705.7773, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1505.3447, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(810.1388, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(828.2795, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(961.5714, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1245.7976, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1618.1255, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1400.5594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(938.2266, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(831.1796, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(729.6541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1271.4283, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(977.8477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(543.3044, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(358.1860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(872.2299, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(873.2810, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(670.5498, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(578.0338, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(882.4909, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(296.1896, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(387.4283, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(388.8602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(598.0939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(511.7858, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(379.2845, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
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				 {'C': {'precision': 0.16233766233766234, 'recall': 0.10964912280701754, 'f1': 0.13089005235602091, 'number': 228}, 'P': {'precision': 0.4478021978021978, 'recall': 0.6014760147601476, 'f1': 0.5133858267716535, 'number': 271}, 'overall_precision': 0.36293436293436293, 'overall_recall': 0.37675350701402804, 'overall_f1': 0.3697148475909538, 'overall_accuracy': 0.6584019835239543}
			------------EPOCH 9---------------
Loss: tensor(1138.5685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1225.3218, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1029.5247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(818.3805, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(496.9483, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1988.7477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(924.8750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2358.7346, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1199.4292, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1130.8374, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(422.7881, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(891.3942, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(888.4472, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(605.3444, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2279.3379, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(579.9672, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(624.6945, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(696.9371, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(327.9906, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(369.3741, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(431.7955, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(868.3475, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(462.4402, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(484.5297, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(819.2979, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(930.6960, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1326.8390, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1127.3785, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1047.5963, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(792.3245, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(748.5656, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1111.1641, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1152.2385, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(705.1895, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(560.9427, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1191.9395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1008.3240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(650.2690, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(580.2231, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(936.3474, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(465.4782, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(725.3737, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(693.4869, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(797.4236, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(576.0156, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.2992125984251969, 'recall': 0.3333333333333333, 'f1': 0.3153526970954357, 'number': 228}, 'P': {'precision': 0.4884910485933504, 'recall': 0.7047970479704797, 'f1': 0.5770392749244713, 'number': 271}, 'overall_precision': 0.413953488372093, 'overall_recall': 0.5350701402805611, 'overall_f1': 0.46678321678321677, 'overall_accuracy': 0.7023114452531393}
			------------EPOCH 10---------------
Loss: tensor(956.9093, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1010.9557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(810.5433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(508.4267, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(404.8559, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(961.0436, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(523.2169, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1129.6492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(711.1368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(661.9899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(293.4436, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(463.1388, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(606.5941, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(503.4539, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1740.7932, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(543.1653, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(654.5237, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(697.4801, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(430.6210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(588.9783, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(457.6509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(808.6277, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(535.5714, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(526.8755, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(448.1406, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(770.5739, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1147.0938, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(945.6794, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(618.1715, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(497.4485, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(520.4667, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(673.8058, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(588.1177, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(357.1714, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(263.8568, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(681.5436, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(560.0523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(529.7293, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(378.2630, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(552.9749, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(231.4140, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(206.8537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(230.9706, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(468.5579, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(339.4397, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(382.3445, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.3402985074626866, 'recall': 0.5, 'f1': 0.4049733570159858, 'number': 228}, 'P': {'precision': 0.541795665634675, 'recall': 0.6457564575645757, 'f1': 0.5892255892255893, 'number': 271}, 'overall_precision': 0.439209726443769, 'overall_recall': 0.5791583166332666, 'overall_f1': 0.4995678478824547, 'overall_accuracy': 0.7196672798528353}
			------------EPOCH 11---------------
Loss: tensor(349.9320, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(612.0080, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(539.1736, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(363.4225, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(363.9768, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(592.2788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(572.1005, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(978.7318, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(535.2753, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(468.8105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(198.7318, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(314.0093, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(574.2162, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(260.2762, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(956.3770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(247.8708, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(407.6496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(462.8031, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(243.5738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(216.9591, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(196.3465, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(452.7856, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(267.9388, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(261.7296, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(225.2639, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(443.8229, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(803.4598, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(537.9729, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(375.4489, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(320.3806, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(274.2968, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(411.4282, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(532.7800, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(350.1783, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(205.5636, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(700.1747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(616.3358, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(643.9309, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(532.5267, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(757.9061, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(210.1917, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(185.4539, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(180.2537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(435.8877, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(195.4303, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(216.0452, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.4339622641509434, 'recall': 0.5043859649122807, 'f1': 0.4665314401622718, 'number': 228}, 'P': {'precision': 0.5348837209302325, 'recall': 0.5940959409594095, 'f1': 0.562937062937063, 'number': 271}, 'overall_precision': 0.4876325088339223, 'overall_recall': 0.5531062124248497, 'overall_f1': 0.5183098591549296, 'overall_accuracy': 0.7328641126129729}
			------------EPOCH 12---------------
Loss: tensor(158.8646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(409.1608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(320.1625, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(168.8619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(116.9754, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(380.2602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(217.3249, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(380.4380, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(371.0114, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(369.6931, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(165.8230, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(188.8489, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(271.7166, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(257.6956, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(897.9642, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(201.8648, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(429.5617, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(492.7648, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(235.8311, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(232.3298, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(177.9622, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(392.2324, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(412.3641, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(276.1885, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(242.1118, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(546.7670, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(576.6338, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(447.9893, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(288.1159, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(295.7246, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(361.2704, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(313.9814, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(274.4941, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(171.3847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.0876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(408.4412, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(261.8396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(291.9757, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(175.7194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(313.6843, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(206.0003, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(222.4610, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(175.3380, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(606.3336, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(643.8994, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(576.2283, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.35555555555555557, 'recall': 0.7719298245614035, 'f1': 0.48686030428769017, 'number': 228}, 'P': {'precision': 0.5189873417721519, 'recall': 0.15129151291512916, 'f1': 0.2342857142857143, 'number': 271}, 'overall_precision': 0.3780487804878049, 'overall_recall': 0.4348697394789579, 'overall_f1': 0.4044734389561976, 'overall_accuracy': 0.608653923058466}
			------------EPOCH 13---------------
Loss: tensor(820.8329, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1791.4922, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1339.9900, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(551.5975, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(304.1943, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(497.2301, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(373.8079, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1153.0735, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(377.3487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(340.3097, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(143.1344, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(196.4742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(195.9867, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(124.4963, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(470.5442, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(122.2546, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(356.9476, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(351.8168, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(163.2102, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(125.7362, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(246.6761, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(533.9393, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(444.5148, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(353.0329, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(640.4325, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1005.7794, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1775.9928, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1661.9800, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1224.7295, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(799.8230, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1025.4392, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1269.4934, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(691.6819, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(332.4202, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(343.8579, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(756.8922, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(303.2562, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(277.9897, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(215.2640, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(304.9676, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(156.9913, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(154.3779, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(111.6940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(254.9722, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.7881, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(129.4606, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.33404255319148934, 'recall': 0.6885964912280702, 'f1': 0.44985673352435535, 'number': 228}, 'P': {'precision': 0.625, 'recall': 0.16605166051660517, 'f1': 0.26239067055393583, 'number': 271}, 'overall_precision': 0.3726937269372694, 'overall_recall': 0.40480961923847697, 'overall_f1': 0.3880883765609991, 'overall_accuracy': 0.5932976085739422}
			------------EPOCH 14---------------
Loss: tensor(499.2503, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(710.2563, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(592.5574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(263.5344, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(398.6617, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(781.3557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(419.8540, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1767.7136, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(866.6073, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(914.6879, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(441.6341, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1210.4329, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(925.7515, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(716.1798, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2409.1587, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(450.6131, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(434.5317, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(862.6090, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(666.4362, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(342.2047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(268.1789, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(576.9972, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(291.3839, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(611.8455, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(399.5212, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(439.1523, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(871.9729, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(494.6749, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(390.8009, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(268.0717, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(306.3298, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(454.3799, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(687.1484, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(284.4565, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(217.8490, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(514.2093, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(854.7096, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(569.2031, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(668.2175, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(680.1691, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(385.7775, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(481.3438, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(452.5725, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(601.7853, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(366.6903, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(324.4919, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.4594594594594595, 'recall': 0.37280701754385964, 'f1': 0.41162227602905566, 'number': 228}, 'P': {'precision': 0.4229934924078091, 'recall': 0.7195571955719557, 'f1': 0.5327868852459016, 'number': 271}, 'overall_precision': 0.43343653250773995, 'overall_recall': 0.561122244488978, 'overall_f1': 0.48908296943231444, 'overall_accuracy': 0.6983124050227946}
			------------EPOCH 15---------------
Loss: tensor(388.3105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1266.3702, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(808.3329, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(556.5248, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(344.4543, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(771.6448, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(351.6980, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(734.4891, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(575.8698, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(497.2368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(186.1055, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(336.0792, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(339.4850, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(203.6974, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(752.1138, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(168.2270, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(263.7691, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(308.1532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(152.2308, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(96.1732, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(104.9399, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(253.5450, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(188.2399, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(250.9953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(361.1282, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(280.4138, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(672.1574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(361.3946, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(242.1003, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(212.3496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(203.9976, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(383.1860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(253.4874, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.2156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(158.4966, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(405.4665, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(207.4933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(232.9573, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(129.9160, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(180.6293, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(111.0898, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.8755, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(107.2396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(167.7400, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.5964, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.4156, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.49032258064516127, 'recall': 0.6666666666666666, 'f1': 0.5650557620817843, 'number': 228}, 'P': {'precision': 0.5844748858447488, 'recall': 0.47232472324723246, 'f1': 0.5224489795918367, 'number': 271}, 'overall_precision': 0.5293005671077504, 'overall_recall': 0.561122244488978, 'overall_f1': 0.5447470817120623, 'overall_accuracy': 0.7295848996240902}
			------------EPOCH 16---------------
Loss: tensor(86.9762, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(192.4310, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(248.4012, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.9305, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.3431, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(185.0118, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(149.5715, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(282.6542, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(218.9852, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(212.9417, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.3417, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(116.1030, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(159.6846, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(151.0298, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(401.5852, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(111.1708, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(191.7219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(237.9221, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.7452, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.5929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.1516, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(161.6236, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(204.3561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.4673, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(97.2147, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(141.7215, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(208.8881, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(228.6201, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(155.8863, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(110.6151, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(102.1840, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.7337, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(127.3337, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.5226, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.0592, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(244.1116, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(120.3202, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(172.1760, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(99.1499, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(132.4476, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(91.2682, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.7290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.0348, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(138.7385, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.8850, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.3734, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.5018315018315018, 'recall': 0.6008771929824561, 'f1': 0.5469061876247504, 'number': 228}, 'P': {'precision': 0.5562913907284768, 'recall': 0.6199261992619927, 'f1': 0.5863874345549738, 'number': 271}, 'overall_precision': 0.5304347826086957, 'overall_recall': 0.6112224448897795, 'overall_f1': 0.5679702048417132, 'overall_accuracy': 0.7542989682476205}
			------------EPOCH 17---------------
Loss: tensor(43.5417, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(120.5449, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(188.0504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(106.9648, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.4790, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(140.6249, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(99.4333, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(203.1276, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(175.5145, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(156.4564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.2989, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(72.4599, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(91.7131, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.6927, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(239.4033, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.8047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(131.7258, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(179.1386, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.9961, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.9368, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.6184, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(106.8139, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(150.1421, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.2802, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.6579, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(101.9584, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(121.5775, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(120.0773, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(108.9637, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.9405, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.8576, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.9091, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.4475, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.0458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.9942, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(177.0933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.7961, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(130.7220, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.5669, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.7444, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.2357, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.6989, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.4074, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.5561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.1203, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.3339, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.5201465201465202, 'recall': 0.6228070175438597, 'f1': 0.56686626746507, 'number': 228}, 'P': {'precision': 0.5755395683453237, 'recall': 0.5904059040590406, 'f1': 0.5828779599271403, 'number': 271}, 'overall_precision': 0.5480943738656987, 'overall_recall': 0.6052104208416834, 'overall_f1': 0.5752380952380953, 'overall_accuracy': 0.7593377589378549}
			------------EPOCH 18---------------
Loss: tensor(30.8219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.8030, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.0324, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.1316, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.9608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(106.6598, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.8226, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(119.9371, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.9450, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(97.0834, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.0448, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.1043, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.3476, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.6982, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(162.8457, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.4951, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(101.8837, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(155.1203, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.6373, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.6884, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.9512, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.9419, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(125.2300, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.6833, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.4065, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.2556, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.4755, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.2398, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(76.5348, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.7757, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.5053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.3231, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.2742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.0925, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.9374, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(142.1920, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.1890, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(114.7009, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.9132, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.5457, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.3608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.4616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.1029, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(100.1060, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.9080, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.7063, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.5035460992907801, 'recall': 0.6228070175438597, 'f1': 0.5568627450980392, 'number': 228}, 'P': {'precision': 0.5892857142857143, 'recall': 0.6088560885608856, 'f1': 0.5989110707803992, 'number': 271}, 'overall_precision': 0.5462633451957295, 'overall_recall': 0.6152304609218436, 'overall_f1': 0.5786993402450518, 'overall_accuracy': 0.7558985843397584}
			------------EPOCH 19---------------
Loss: tensor(20.8996, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.6297, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.3889, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.2524, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.4759, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.7473, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.2516, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(102.4462, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.4424, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.0183, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.4856, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.1312, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.5873, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.9641, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(145.4657, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.8269, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.4594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(120.5151, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.2910, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.4692, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.1327, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.4502, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.4918, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.2008, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.8390, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.3318, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.0760, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.3217, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.5390, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.7866, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.1818, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.0631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.6574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.1067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.2954, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.8065, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.0505, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(91.6657, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.2678, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.3561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.4456, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.8756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.9318, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.2610, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6478, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.6064, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
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				 {'C': {'precision': 0.5035714285714286, 'recall': 0.618421052631579, 'f1': 0.5551181102362205, 'number': 228}, 'P': {'precision': 0.5601374570446735, 'recall': 0.6014760147601476, 'f1': 0.5800711743772243, 'number': 271}, 'overall_precision': 0.532399299474606, 'overall_recall': 0.6092184368737475, 'overall_f1': 0.5682242990654205, 'overall_accuracy': 0.7582180276733584}
			------------EPOCH 20---------------
Loss: tensor(18.3154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.2406, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.2389, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.3624, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.0619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.6305, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.2499, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.6403, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.1067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.6331, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.6588, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.6977, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.2558, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(136.7119, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.7059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.9416, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(127.3266, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(15.3003, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.1996, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.8519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(87.4328, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.1257, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.1053, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(25.4202, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(24.8567, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(40.1034, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.2634, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.3906, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.0129, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.6097, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.7367, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.8973, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.8965, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.1172, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.6110, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.2582, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.2529, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2609, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.4964788732394366, 'recall': 0.618421052631579, 'f1': 0.55078125, 'number': 228}, 'P': {'precision': 0.5644599303135889, 'recall': 0.5977859778597786, 'f1': 0.5806451612903225, 'number': 271}, 'overall_precision': 0.5306479859894921, 'overall_recall': 0.6072144288577155, 'overall_f1': 0.5663551401869159, 'overall_accuracy': 0.7561385267535792}
			------------EPOCH 21---------------
Loss: tensor(16.5865, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.4241, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.1261, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.0695, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.7356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.2339, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.7413, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.6251, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.3097, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.4088, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.4929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.0487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.9065, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.7275, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.7205, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.1031, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.0757, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.2399, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.4302, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.7846, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.6634, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.4993, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.3592, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.3537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.6048, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.5370, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.5991, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.8432, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.0503, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.9148, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.0173, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.7397, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.2622, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.5247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.0317, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.2314, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.0643, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.0706, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.8089, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.1830, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.7925, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2684, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.4342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.7438, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.8698, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.7076, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.5, 'recall': 0.6096491228070176, 'f1': 0.549407114624506, 'number': 228}, 'P': {'precision': 0.563573883161512, 'recall': 0.6051660516605166, 'f1': 0.5836298932384342, 'number': 271}, 'overall_precision': 0.5325131810193322, 'overall_recall': 0.6072144288577155, 'overall_f1': 0.5674157303370787, 'overall_accuracy': 0.7505398704310965}
			------------EPOCH 22---------------
Loss: tensor(15.1238, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.4792, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.7356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.5058, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.1075, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.8238, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.7999, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(61.3244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.1587, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.6468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.5819, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1400, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.8954, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8605, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(79.6768, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.7302, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.6371, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(91.9123, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.6096, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.8414, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.2464, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.6473, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(65.7247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6579, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.6480, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.0021, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.6036, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.5423, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.1862, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.9997, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8784, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.1320, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.7872, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.1798, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.7790, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.7702, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.1411, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.7431, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.6855, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.9483, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.8949, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.9117, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.8480, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.3780, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.5860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.3687, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
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				 {'C': {'precision': 0.5036496350364964, 'recall': 0.6052631578947368, 'f1': 0.5498007968127491, 'number': 228}, 'P': {'precision': 0.5714285714285714, 'recall': 0.6199261992619927, 'f1': 0.5946902654867258, 'number': 271}, 'overall_precision': 0.5387323943661971, 'overall_recall': 0.6132264529058116, 'overall_f1': 0.5735707591377694, 'overall_accuracy': 0.7548588338798689}
			------------EPOCH 23---------------
Loss: tensor(14.3379, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.6067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.7508, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.3305, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.7158, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.9499, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.9459, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.2221, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.5410, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.1516, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.8240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4272, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.7967, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.9823, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.8754, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.9333, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.5359, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.3847, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.2080, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.2974, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.7963, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(56.6760, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.3059, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.7247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.3442, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.6891, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.0522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.2803, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5089, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.1466, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.1057, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.6840, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.6621, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5644, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.8696, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.8779, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.2991, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.4447, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.9012, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8084, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.9102, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.3545, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.8439, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.5519, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.0934, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
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				 {'C': {'precision': 0.5054545454545455, 'recall': 0.6096491228070176, 'f1': 0.5526838966202784, 'number': 228}, 'P': {'precision': 0.5656565656565656, 'recall': 0.6199261992619927, 'f1': 0.5915492957746478, 'number': 271}, 'overall_precision': 0.5367132867132867, 'overall_recall': 0.6152304609218436, 'overall_f1': 0.5732959850606909, 'overall_accuracy': 0.755498680316724}
			------------EPOCH 24---------------
Loss: tensor(13.7884, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1442, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.1040, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.6212, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.9632, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.8549, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.5712, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.7700, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.1446, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.2892, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.9174, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.3520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.9206, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5295, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.0902, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.4045, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.1838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(76.8038, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.0849, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2863, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.2994, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.1497, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.2690, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.4361, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8948, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.8365, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.2798, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.4647, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6812, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.7589, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6142, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.0552, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.6904, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.0054, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.6380, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1972, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.6737, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.5159, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.2837, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.5386, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.4867, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.0145, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.6585, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.6770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.1068, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
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Evaluating
				 {'C': {'precision': 0.5054545454545455, 'recall': 0.6096491228070176, 'f1': 0.5526838966202784, 'number': 228}, 'P': {'precision': 0.5581395348837209, 'recall': 0.6199261992619927, 'f1': 0.5874125874125874, 'number': 271}, 'overall_precision': 0.5329861111111112, 'overall_recall': 0.6152304609218436, 'overall_f1': 0.5711627906976744, 'overall_accuracy': 0.7584579700871791}
			------------EPOCH 25---------------
Loss: tensor(13.2876, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.3871, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.0410, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.2714, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.3650, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.7080, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.7504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.1187, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.2218, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.9667, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.7814, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.5630, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.3770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.1285, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.5309, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.1043, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.5657, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.2605, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.2510, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.2810, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.6150, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.1395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.9560, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.4568, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.5603, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.6115, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.6359, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.9849, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.6934, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.2479, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6625, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.3783, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9159, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.6735, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.7536, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.5000, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.8744, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.7220, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.5596, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.7880, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9380, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.5063, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4.2944, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.3306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.9325, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.1674, device='cuda:0', grad_fn=<DivBackward0>)
Evaluating
Evaluating
Evaluating
Evaluating
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				 {'C': {'precision': 0.5018315018315018, 'recall': 0.6008771929824561, 'f1': 0.5469061876247504, 'number': 228}, 'P': {'precision': 0.5614617940199336, 'recall': 0.6236162361623616, 'f1': 0.5909090909090908, 'number': 271}, 'overall_precision': 0.5331010452961672, 'overall_recall': 0.6132264529058116, 'overall_f1': 0.570363466915191, 'overall_accuracy': 0.7602175477885308}
	Train size: 50 Test size: 50


		-------------RUN 1-----------
			------------EPOCH 1---------------
Loss: tensor(4189.8066, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3373.1260, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11578.2109, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5390.5005, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3576.4937, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(2508.0005, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2175.9983, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3220.9697, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(2136.8718, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2449.2969, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2529.9343, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2143.3625, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1332.3167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2149.9668, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2192.6921, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3942.3792, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2477.3828, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2480.0012, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1634.2635, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2076.8228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2059.6655, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.0017331022530329288, 'recall': 0.0012315270935960591, 'f1': 0.0014398848092152627, 'number': 812}, 'P': {'precision': 0.005263157894736842, 'recall': 0.0011933174224343676, 'f1': 0.0019455252918287938, 'number': 838}, 'overall_precision': 0.002607561929595828, 'overall_recall': 0.0012121212121212121, 'overall_f1': 0.0016549441456350847, 'overall_accuracy': 0.3671839829404099}
			------------EPOCH 2---------------
Loss: tensor(3175.5171, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2199.1638, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8321.2061, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3614.6824, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2625.3621, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2511.0898, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2666.3044, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2598.0322, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2061.7192, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1717.5020, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2590.1150, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2661.3408, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(3252.7549, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1935.8274, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1722.8376, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2102.5259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1998.7621, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1025.7312, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(3388.1887, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2010.9998, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1854.1481, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1797.2737, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.013848396501457727, 'recall': 0.023399014778325122, 'f1': 0.0173992673992674, 'number': 812}, 'P': {'precision': 0.25036390101892286, 'recall': 0.4105011933174224, 'f1': 0.3110307414104883, 'number': 838}, 'overall_precision': 0.13219227967953387, 'overall_recall': 0.22, 'overall_f1': 0.1651501364877161, 'overall_accuracy': 0.47572562492595666}
			------------EPOCH 3---------------
Loss: tensor(2595.8567, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1841.4683, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7059.0967, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2964.4336, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2122.8550, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2105.1873, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2241.7480, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2036.0203, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1726.1394, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1401.5985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2062.9282, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2314.7900, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4530.0215, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1706.4551, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1634.9546, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1900.0122, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1747.1761, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1505.7161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(846.4788, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1771.0781, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1726.6346, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1647.3616, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.021491782553729456, 'recall': 0.04187192118226601, 'f1': 0.028404344193817876, 'number': 812}, 'P': {'precision': 0.2702498107494323, 'recall': 0.42601431980906923, 'f1': 0.33070866141732286, 'number': 838}, 'overall_precision': 0.13468825353083017, 'overall_recall': 0.23696969696969697, 'overall_f1': 0.17175488688776633, 'overall_accuracy': 0.5091813766141452}
			------------EPOCH 4---------------
Loss: tensor(2222.9929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1502.4976, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6229.0347, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2389.2129, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1763.8099, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1612.2556, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1507.1910, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1225.3643, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1765.0173, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2018.1169, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1503.9187, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1699.0502, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1339.7799, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(675.0355, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1162.1416, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1196.4026, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2579.9507, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1344.9929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1456.9999, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(915.6672, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1195.9707, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1096.3206, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.04321608040201005, 'recall': 0.05295566502463054, 'f1': 0.047592695074709465, 'number': 812}, 'P': {'precision': 0.31908155186064924, 'recall': 0.4809069212410501, 'f1': 0.3836268443598287, 'number': 838}, 'overall_precision': 0.1975199291408326, 'overall_recall': 0.2703030303030303, 'overall_f1': 0.22824974411463667, 'overall_accuracy': 0.5565691268807014}
			------------EPOCH 5---------------
Loss: tensor(1919.2520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1242.1589, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5604.3896, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1944.4170, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1388.2400, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1696.1926, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1200.2742, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1330.5393, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(943.7469, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1388.1580, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1834.1758, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1347.0039, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1368.2747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1619.2585, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1299.0356, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(587.5388, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1040.9712, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1335.6871, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2714.1646, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1245.7488, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(648.1450, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(758.1915, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(712.5858, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.05430932703659976, 'recall': 0.05665024630541872, 'f1': 0.055455093429776975, 'number': 812}, 'P': {'precision': 0.29314720812182743, 'recall': 0.5513126491646778, 'f1': 0.3827671913835957, 'number': 838}, 'overall_precision': 0.20965744944283946, 'overall_recall': 0.30787878787878786, 'overall_f1': 0.24944758163515837, 'overall_accuracy': 0.5246771709513091}
			------------EPOCH 6---------------
Loss: tensor(1804.3174, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1372.2825, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5368.4312, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1159.0948, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(896.0898, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1357.2725, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1210.8391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1138.1918, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1299.1382, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1114.5538, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(520.6859, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(893.3081, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1182.7776, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(718.8156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(684.0968, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.12649736463823671, 'recall': 0.3251231527093596, 'f1': 0.18213176957571578, 'number': 812}, 'P': {'precision': 0.45494505494505494, 'recall': 0.24701670644391407, 'f1': 0.3201856148491879, 'number': 838}, 'overall_precision': 0.18528717545239967, 'overall_recall': 0.28545454545454546, 'overall_f1': 0.22471374045801526, 'overall_accuracy': 0.5730837578485961}
			------------EPOCH 7---------------
Loss: tensor(1901.7532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1352.0417, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5643.0962, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1007.7615, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1078.6000, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(593.1101, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(565.1139, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.16953528399311532, 'recall': 0.24261083743842365, 'f1': 0.19959473150962515, 'number': 812}, 'P': {'precision': 0.37783171521035597, 'recall': 0.5572792362768496, 'f1': 0.4503375120540019, 'number': 838}, 'overall_precision': 0.27689741451209343, 'overall_recall': 0.4024242424242424, 'overall_f1': 0.3280632411067194, 'overall_accuracy': 0.5977727757374719}
			------------EPOCH 8---------------
Loss: tensor(1275.7799, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(913.9804, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4026.4458, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(850.6470, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(974.5461, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(861.1294, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(899.8958, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(379.5443, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(605.4879, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(592.8546, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1488.4133, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(794.1948, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(867.2651, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(331.1219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(386.3512, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(353.5405, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.21595836947094535, 'recall': 0.3066502463054187, 'f1': 0.2534351145038168, 'number': 812}, 'P': {'precision': 0.45699481865284974, 'recall': 0.5262529832935561, 'f1': 0.4891846921797005, 'number': 838}, 'overall_precision': 0.32577903682719545, 'overall_recall': 0.41818181818181815, 'overall_f1': 0.3662420382165605, 'overall_accuracy': 0.6436441179954981}
			------------EPOCH 9---------------
Loss: tensor(1103.6429, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(789.9642, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3168.8042, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(840.6875, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(682.6425, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1046.8401, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(597.3932, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(523.9146, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(746.5487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(501.0462, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(880.5541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1213.3619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1767.1609, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1278.7083, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(674.7828, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(667.2156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(761.3029, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(672.7929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(733.6722, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(360.3158, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(403.3473, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(405.5820, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1224.4598, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(686.0021, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(794.3502, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(239.0799, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(315.2574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(329.5499, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.21628498727735368, 'recall': 0.20935960591133004, 'f1': 0.2127659574468085, 'number': 812}, 'P': {'precision': 0.4386401326699834, 'recall': 0.6312649164677804, 'f1': 0.5176125244618395, 'number': 838}, 'overall_precision': 0.3509036144578313, 'overall_recall': 0.42363636363636364, 'overall_f1': 0.3838550247116969, 'overall_accuracy': 0.648311811396754}
			------------EPOCH 10---------------
Loss: tensor(943.9154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(662.2645, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2927.7266, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(688.2172, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(510.3127, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(847.0652, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(439.1980, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(387.1318, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(540.8805, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(386.3939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(802.5511, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(994.1553, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1557.0978, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1046.4767, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(557.7971, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(709.8410, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(739.4434, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(570.5987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(685.2707, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(375.1297, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(352.2487, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1029.6509, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(463.5738, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(235.7015, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(226.1302, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3008849557522124, 'recall': 0.20935960591133004, 'f1': 0.2469135802469136, 'number': 812}, 'P': {'precision': 0.4204946996466431, 'recall': 0.7100238663484487, 'f1': 0.5281846426986241, 'number': 838}, 'overall_precision': 0.38636363636363635, 'overall_recall': 0.4636363636363636, 'overall_f1': 0.42148760330578516, 'overall_accuracy': 0.6286695889112665}
			------------EPOCH 11---------------
Loss: tensor(836.1152, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(472.1266, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2657.9678, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(526.5555, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(448.2373, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(397.8502, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(346.5228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(435.3353, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(283.2733, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(732.3401, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1006.8785, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(388.0323, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(450.0189, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(329.1925, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(442.0959, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(530.6230, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(269.3202, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(195.4143, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.2890625, 'recall': 0.5012315270935961, 'f1': 0.36666666666666664, 'number': 812}, 'P': {'precision': 0.5474934036939314, 'recall': 0.49522673031026254, 'f1': 0.5200501253132832, 'number': 838}, 'overall_precision': 0.37950138504155123, 'overall_recall': 0.49818181818181817, 'overall_f1': 0.43081761006289304, 'overall_accuracy': 0.6731429925364293}
			------------EPOCH 12---------------
Loss: tensor(715.6371, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(408.8112, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2211.8767, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(418.0652, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(409.3156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(291.5930, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(715.8396, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(615.5199, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(206.1951, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(761.6703, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(374.4276, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(177.1298, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(146.0434, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3015780245470485, 'recall': 0.6354679802955665, 'f1': 0.4090368608799049, 'number': 812}, 'P': {'precision': 0.5660377358490566, 'recall': 0.3221957040572792, 'f1': 0.4106463878326996, 'number': 838}, 'overall_precision': 0.3592321755027422, 'overall_recall': 0.4763636363636364, 'overall_f1': 0.409588327253778, 'overall_accuracy': 0.6211112427437507}
			------------EPOCH 13---------------
Loss: tensor(880.6102, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(545.6270, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2497.6226, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(239.4410, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(232.6404, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3492822966507177, 'recall': 0.2697044334975369, 'f1': 0.30437804030576787, 'number': 812}, 'P': {'precision': 0.44885945548197204, 'recall': 0.7279236276849642, 'f1': 0.5553026854802002, 'number': 838}, 'overall_precision': 0.4174219536757301, 'overall_recall': 0.5024242424242424, 'overall_f1': 0.455995599559956, 'overall_accuracy': 0.6454922402558938}
			------------EPOCH 14---------------
Loss: tensor(448.0404, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(259.5544, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1622.4268, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(124.0037, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.7506, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3154459753444525, 'recall': 0.5357142857142857, 'f1': 0.3970789593792789, 'number': 812}, 'P': {'precision': 0.5555555555555556, 'recall': 0.4594272076372315, 'f1': 0.5029392553886349, 'number': 838}, 'overall_precision': 0.39575289575289574, 'overall_recall': 0.49696969696969695, 'overall_f1': 0.44062332079527133, 'overall_accuracy': 0.6783082573154839}
			------------EPOCH 15---------------
Loss: tensor(377.0395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(190.0164, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(967.6531, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.39730134932533734, 'recall': 0.3263546798029557, 'f1': 0.3583502366463827, 'number': 812}, 'P': {'precision': 0.4719551282051282, 'recall': 0.7028639618138425, 'f1': 0.5647171620325983, 'number': 838}, 'overall_precision': 0.44595300261096604, 'overall_recall': 0.5175757575757576, 'overall_f1': 0.4791023842917251, 'overall_accuracy': 0.6612249733443905}
			------------EPOCH 16---------------
Loss: tensor(273.7129, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(144.7953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(677.3259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(76.2118, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(130.7367, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(221.0713, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(82.7550, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.6501, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.34210526315789475, 'recall': 0.5123152709359606, 'f1': 0.4102564102564103, 'number': 812}, 'P': {'precision': 0.5544430538172715, 'recall': 0.5286396181384249, 'f1': 0.541233964569334, 'number': 838}, 'overall_precision': 0.426302729528536, 'overall_recall': 0.5206060606060606, 'overall_f1': 0.4687585266030014, 'overall_accuracy': 0.6866248074872645}
			------------EPOCH 17---------------
Loss: tensor(255.1266, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(98.7388, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(387.2040, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.0322, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(37.7454, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.4050464807436919, 'recall': 0.37561576354679804, 'f1': 0.38977635782747605, 'number': 812}, 'P': {'precision': 0.4881956155143339, 'recall': 0.6909307875894988, 'f1': 0.5721343873517786, 'number': 838}, 'overall_precision': 0.4559051057246003, 'overall_recall': 0.5357575757575758, 'overall_f1': 0.49261632766787405, 'overall_accuracy': 0.6784741144414169}
			------------EPOCH 18---------------
Loss: tensor(224.0912, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(78.1564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(263.3859, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.3706, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(59.1917, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.7267, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3950892857142857, 'recall': 0.43596059113300495, 'f1': 0.41451990632318503, 'number': 812}, 'P': {'precision': 0.4981238273921201, 'recall': 0.6336515513126492, 'f1': 0.5577731092436975, 'number': 838}, 'overall_precision': 0.4510703363914373, 'overall_recall': 0.5363636363636364, 'overall_f1': 0.49003322259136217, 'overall_accuracy': 0.6826205425897406}
			------------EPOCH 19---------------
Loss: tensor(199.5023, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.9783, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(176.1249, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(48.4162, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3587710604558969, 'recall': 0.4458128078817734, 'f1': 0.3975837451949479, 'number': 812}, 'P': {'precision': 0.4964824120603015, 'recall': 0.5894988066825776, 'f1': 0.5390070921985816, 'number': 838}, 'overall_precision': 0.42714570858283435, 'overall_recall': 0.5187878787878788, 'overall_f1': 0.46852764094143406, 'overall_accuracy': 0.6801089918256131}
			------------EPOCH 20---------------
Loss: tensor(206.1530, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.4571, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(203.5661, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(62.2014, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.379746835443038, 'recall': 0.4064039408866995, 'f1': 0.39262343842950626, 'number': 812}, 'P': {'precision': 0.47026532479414457, 'recall': 0.6133651551312649, 'f1': 0.5323666494044537, 'number': 838}, 'overall_precision': 0.43017329255861364, 'overall_recall': 0.5115151515151515, 'overall_f1': 0.4673311184939092, 'overall_accuracy': 0.6778106859376851}
			------------EPOCH 21---------------
Loss: tensor(192.8194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.4694, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(252.2723, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3837084673097535, 'recall': 0.4408866995073892, 'f1': 0.41031518624641833, 'number': 812}, 'P': {'precision': 0.4873294346978557, 'recall': 0.5966587112171837, 'f1': 0.5364806866952789, 'number': 838}, 'overall_precision': 0.43797856049004597, 'overall_recall': 0.52, 'overall_f1': 0.47547797173732337, 'overall_accuracy': 0.6824309915886744}
			------------EPOCH 22---------------
Loss: tensor(155.1022, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(70.8743, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(200.5486, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3930510314875136, 'recall': 0.4458128078817734, 'f1': 0.4177726485862666, 'number': 812}, 'P': {'precision': 0.4853801169590643, 'recall': 0.594272076372315, 'f1': 0.5343347639484978, 'number': 838}, 'overall_precision': 0.44170518746789933, 'overall_recall': 0.5212121212121212, 'overall_f1': 0.47817625799277175, 'overall_accuracy': 0.6831891955929392}
			------------EPOCH 23---------------
Loss: tensor(137.8919, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.4888, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(182.3189, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(41.8298, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.0490, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.5238, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.6008, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.9351, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.0637, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.5940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.0234, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.5825, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.3530, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.8601, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.0272, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.6825, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.40420819490586934, 'recall': 0.44950738916256155, 'f1': 0.4256559766763848, 'number': 812}, 'P': {'precision': 0.4894837476099426, 'recall': 0.6109785202863962, 'f1': 0.5435244161358811, 'number': 838}, 'overall_precision': 0.44997434581836837, 'overall_recall': 0.5315151515151515, 'overall_f1': 0.48735759933314804, 'overall_accuracy': 0.6843265015993366}
			------------EPOCH 24---------------
Loss: tensor(127.0049, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.5081, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(157.6484, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.0650, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.4358, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.0687, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.5683, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.8513, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.5455, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.8398, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.3347, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.2198, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(93.2920, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.3521, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.3626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.8150, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.2424, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.2121, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.5711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.4826, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.0908, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.9652, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.2117, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5684, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.1571, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.1302, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.3947, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.5613, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.4066666666666667, 'recall': 0.45073891625615764, 'f1': 0.42757009345794394, 'number': 812}, 'P': {'precision': 0.48956356736242884, 'recall': 0.6157517899761337, 'f1': 0.5454545454545454, 'number': 838}, 'overall_precision': 0.45138178096212894, 'overall_recall': 0.5345454545454545, 'overall_f1': 0.4894561598224196, 'overall_accuracy': 0.6846582158512025}
			------------EPOCH 25---------------
Loss: tensor(114.0941, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.3513, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(124.7330, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(47.8441, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.9533, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(31.0971, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.2557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.5551, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(58.7115, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.3594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(83.4251, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.1222, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.2211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.3020, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.8683, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.1911, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.4626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.1801, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.7123, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.7923, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.3922, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.3062, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(40.5537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.6779, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.40561797752808987, 'recall': 0.4445812807881773, 'f1': 0.4242068155111633, 'number': 812}, 'P': {'precision': 0.49107981220657276, 'recall': 0.6241050119331742, 'f1': 0.5496584340514976, 'number': 838}, 'overall_precision': 0.45217391304347826, 'overall_recall': 0.5357575757575758, 'overall_f1': 0.49042995839112347, 'overall_accuracy': 0.6834735220945386}


		-------------RUN 2-----------
			------------EPOCH 1---------------
Loss: tensor(2203.0249, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2352.7480, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2800.6428, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1883.9376, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2726.0457, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8591.4766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5347.1577, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2903.9268, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2704.7017, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3650.5549, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3494.1362, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2539.1228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2807.0725, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5151.6738, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3247.5220, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4082.8210, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3596.2048, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5223.3560, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2064.3608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3617.1533, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2556.0857, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3769.5093, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2419.6167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2053.9609, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2469.8264, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3802.8367, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1921.6617, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2408.8967, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3181.8999, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.022717343818261248, 'recall': 0.07669616519174041, 'f1': 0.03505224132119986, 'number': 678}, 'P': {'precision': 0.0075394105551747775, 'recall': 0.035869565217391305, 'f1': 0.012459882952614689, 'number': 920}, 'overall_precision': 0.012751275127512752, 'overall_recall': 0.05319148936170213, 'overall_f1': 0.020571151984511135, 'overall_accuracy': 0.42003065917220234}
			------------EPOCH 2---------------
Loss: tensor(1628.3740, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1721.7197, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2041.9192, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1434.4205, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(4077.3594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2315.3633, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2180.8679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2870.2056, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2795.1128, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2161.9126, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2293.8889, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4331.5664, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2758.5010, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3457.5945, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3036.9282, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4443.4263, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1776.8459, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3041.6606, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2098.8083, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3378.3091, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2126.1008, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1740.0751, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2113.0117, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3347.1150, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1714.0283, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2148.5828, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2825.2148, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.035303776683087026, 'recall': 0.06342182890855458, 'f1': 0.04535864978902954, 'number': 678}, 'P': {'precision': 0.04496340188218892, 'recall': 0.14021739130434782, 'f1': 0.06809184481393508, 'number': 920}, 'overall_precision': 0.042084658673843894, 'overall_recall': 0.10763454317897372, 'overall_f1': 0.06051011433597185, 'overall_accuracy': 0.5412803854295934}
			------------EPOCH 3---------------
Loss: tensor(1525.0771, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1578.1779, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1866.1776, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1323.1167, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(2194.4697, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1900.6184, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2405.6855, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2224.0737, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(3662.8042, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(3080.9741, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(3937.5259, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1656.9224, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2966.6436, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1869.9098, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1457.2526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1698.9119, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2782.8672, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1884.2136, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2444.7988, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.10368823938761308, 'recall': 0.21976401179941002, 'f1': 0.1408983451536643, 'number': 678}, 'P': {'precision': 0.18791946308724833, 'recall': 0.3347826086956522, 'f1': 0.24071903087143418, 'number': 920}, 'overall_precision': 0.14856957087126138, 'overall_recall': 0.285982478097622, 'overall_f1': 0.19554985023534444, 'overall_accuracy': 0.6006521157262087}
			------------EPOCH 4---------------
Loss: tensor(1219.9087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1213.7014, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1477.4664, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(2815.1450, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1932.7137, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1657.7668, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2155.5776, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1784.0767, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1911.4799, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1937.3171, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1261.4561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2548.4116, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1702.1289, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1223.5629, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1406.8872, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2431.7026, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1580.7390, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2012.1492, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.17218095881161377, 'recall': 0.37610619469026546, 'f1': 0.23622047244094488, 'number': 678}, 'P': {'precision': 0.22554744525547446, 'recall': 0.3358695652173913, 'f1': 0.26986899563318784, 'number': 920}, 'overall_precision': 0.19782532444756226, 'overall_recall': 0.35294117647058826, 'overall_f1': 0.25354012137559, 'overall_accuracy': 0.6170766722631822}
			------------EPOCH 5---------------
Loss: tensor(793.7170, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(789.1735, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(947.0753, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1017.1426, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(4307.4131, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2181.5806, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1702.6144, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1478.7666, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1935.5066, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1462.0676, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1463.7921, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1452.6855, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1668.6039, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.168983174835406, 'recall': 0.3407079646017699, 'f1': 0.2259168704156479, 'number': 678}, 'P': {'precision': 0.1565749235474006, 'recall': 0.2782608695652174, 'f1': 0.20039138943248533, 'number': 920}, 'overall_precision': 0.16222518321119253, 'overall_recall': 0.304755944931164, 'overall_f1': 0.21173913043478262, 'overall_accuracy': 0.6198505973672044}
			------------EPOCH 6---------------
Loss: tensor(614.3445, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(661.6848, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(734.9518, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1382.1101, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1259.3108, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1479.1654, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1144.2908, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1181.1274, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1132.7793, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2189.2585, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1527.0236, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(884.5975, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(661.9944, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(840.3641, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1288.0220, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1275.1519, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.13581129378127232, 'recall': 0.28023598820059, 'f1': 0.182956186807896, 'number': 678}, 'P': {'precision': 0.07973856209150326, 'recall': 0.06630434782608696, 'f1': 0.07240356083086054, 'number': 920}, 'overall_precision': 0.11598890942698706, 'overall_recall': 0.15707133917396746, 'overall_f1': 0.13343965975544925, 'overall_accuracy': 0.518796992481203}
			------------EPOCH 7---------------
Loss: tensor(589.0643, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(604.3568, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(666.7247, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1662.7036, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1908.0793, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1059.7295, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(982.0427, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(964.8541, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1017.2557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(815.3779, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1654.8580, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1195.3408, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1561.8445, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1165.0627, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2005.4685, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(558.9016, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1048.3193, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(670.7874, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1363.7019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1669.3516, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.28752886836027713, 'recall': 0.3672566371681416, 'f1': 0.322538860103627, 'number': 678}, 'P': {'precision': 0.3921146953405018, 'recall': 0.5945652173913043, 'f1': 0.47257019438444925, 'number': 920}, 'overall_precision': 0.3520566121185316, 'overall_recall': 0.4981226533166458, 'overall_f1': 0.4125421093547551, 'overall_accuracy': 0.6449619193615106}
			------------EPOCH 8---------------
Loss: tensor(567.3561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(488.3108, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(744.3588, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(769.4973, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1130.1033, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1020.2942, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(846.2211, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(720.5812, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(918.3596, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1940.0806, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1649.1929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(908.2647, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(645.6169, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(549.0201, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(796.2612, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(755.5049, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1054.0160, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1212.9001, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1603.3219, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.21714285714285714, 'recall': 0.11209439528023599, 'f1': 0.14785992217898833, 'number': 678}, 'P': {'precision': 0.2897245762711864, 'recall': 0.5945652173913043, 'f1': 0.3896011396011396, 'number': 920}, 'overall_precision': 0.27837354781054513, 'overall_recall': 0.38986232790988734, 'overall_f1': 0.3248175182481752, 'overall_accuracy': 0.6341095457089325}
			------------EPOCH 9---------------
Loss: tensor(432.1229, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(575.1574, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(599.8875, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(934.9244, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(735.1191, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(657.1721, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1287.5432, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(891.8784, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1018.3685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1051.3889, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.22909698996655517, 'recall': 0.20206489675516223, 'f1': 0.2147335423197492, 'number': 678}, 'P': {'precision': 0.31073752711496744, 'recall': 0.6228260869565218, 'f1': 0.414616497829233, 'number': 920}, 'overall_precision': 0.29074529074529076, 'overall_recall': 0.44430538172715894, 'overall_f1': 0.35148514851485146, 'overall_accuracy': 0.6635277514173784}
			------------EPOCH 10---------------
Loss: tensor(389.7051, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(424.3018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(461.1005, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1039.2781, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1128.1937, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(851.8519, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1066.9890, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(785.0786, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1005.6934, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1113.7754, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.2947052947052947, 'recall': 0.4351032448377581, 'f1': 0.35139964264443124, 'number': 678}, 'P': {'precision': 0.34308131241084167, 'recall': 0.5228260869565218, 'f1': 0.41429801894918183, 'number': 920}, 'overall_precision': 0.32292967124427796, 'overall_recall': 0.4856070087609512, 'overall_f1': 0.38790302424393897, 'overall_accuracy': 0.681363603182714}
			------------EPOCH 11---------------
Loss: tensor(326.5423, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(334.4357, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(380.8806, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(789.4391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(819.3434, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.34120734908136485, 'recall': 0.3834808259587021, 'f1': 0.36111111111111116, 'number': 678}, 'P': {'precision': 0.4351496546431312, 'recall': 0.616304347826087, 'f1': 0.5101214574898785, 'number': 920}, 'overall_precision': 0.40048426150121064, 'overall_recall': 0.5175219023779725, 'overall_f1': 0.45154245154245154, 'overall_accuracy': 0.7002700927074968}
			------------EPOCH 12---------------
Loss: tensor(213.3219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(197.4607, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(222.9153, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(614.1033, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(713.3429, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.29453125, 'recall': 0.556047197640118, 'f1': 0.3850868232890705, 'number': 678}, 'P': {'precision': 0.4, 'recall': 0.3695652173913043, 'f1': 0.384180790960452, 'number': 920}, 'overall_precision': 0.33661971830985915, 'overall_recall': 0.44868585732165206, 'overall_f1': 0.38465665236051494, 'overall_accuracy': 0.6540866729931625}
			------------EPOCH 13---------------
Loss: tensor(199.6945, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(144.2009, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(202.2289, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(464.3589, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3751651254953765, 'recall': 0.41887905604719766, 'f1': 0.39581881533101043, 'number': 678}, 'P': {'precision': 0.4447900466562986, 'recall': 0.6217391304347826, 'f1': 0.5185856754306437, 'number': 920}, 'overall_precision': 0.4189916789035732, 'overall_recall': 0.5356695869837297, 'overall_f1': 0.4702004943696787, 'overall_accuracy': 0.7073752342020099}
			------------EPOCH 14---------------
Loss: tensor(146.1071, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.9960, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.36896197327852004, 'recall': 0.5294985250737463, 'f1': 0.4348879466989703, 'number': 678}, 'P': {'precision': 0.46222664015904574, 'recall': 0.5054347826086957, 'f1': 0.48286604361370716, 'number': 920}, 'overall_precision': 0.4163719050025265, 'overall_recall': 0.5156445556946183, 'overall_f1': 0.4607212748112944, 'overall_accuracy': 0.7022897048446358}
			------------EPOCH 15---------------
Loss: tensor(99.2236, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.3391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(115.5687, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(78.3998, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(84.6686, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(147.7216, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(147.9758, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.38404907975460123, 'recall': 0.4616519174041298, 'f1': 0.4192900200937709, 'number': 678}, 'P': {'precision': 0.4636441402908469, 'recall': 0.5891304347826087, 'f1': 0.5189085686931547, 'number': 920}, 'overall_precision': 0.4309475806451613, 'overall_recall': 0.5350438047559449, 'overall_f1': 0.47738693467336685, 'overall_accuracy': 0.7110981336837239}
			------------EPOCH 16---------------
Loss: tensor(71.1334, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.4425, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(99.6542, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3819599109131403, 'recall': 0.5058997050147492, 'f1': 0.43527918781725883, 'number': 678}, 'P': {'precision': 0.47412199630314233, 'recall': 0.5576086956521739, 'f1': 0.5124875124875125, 'number': 920}, 'overall_precision': 0.43232323232323233, 'overall_recall': 0.5356695869837297, 'overall_f1': 0.47847959754052544, 'overall_accuracy': 0.7113657931235856}
			------------EPOCH 17---------------
Loss: tensor(48.7225, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.3437, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.5782, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(73.8446, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.38498212157330153, 'recall': 0.47640117994100295, 'f1': 0.4258404746209624, 'number': 678}, 'P': {'precision': 0.48111510791366907, 'recall': 0.5815217391304348, 'f1': 0.5265748031496063, 'number': 920}, 'overall_precision': 0.4397744746283957, 'overall_recall': 0.5369211514392991, 'overall_f1': 0.4835164835164835, 'overall_accuracy': 0.7130934131445118}
			------------EPOCH 18---------------
Loss: tensor(36.8386, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.3007, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.9110, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.38799076212471134, 'recall': 0.49557522123893805, 'f1': 0.43523316062176165, 'number': 678}, 'P': {'precision': 0.4957587181903864, 'recall': 0.5717391304347826, 'f1': 0.5310449268046441, 'number': 920}, 'overall_precision': 0.44732745199792423, 'overall_recall': 0.5394242803504381, 'overall_f1': 0.48907801418439717, 'overall_accuracy': 0.7115847872107454}
			------------EPOCH 19---------------
Loss: tensor(31.1071, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.0078, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3886966551326413, 'recall': 0.4970501474926254, 'f1': 0.43624595469255667, 'number': 678}, 'P': {'precision': 0.4976392823418319, 'recall': 0.5728260869565217, 'f1': 0.5325922182920666, 'number': 920}, 'overall_precision': 0.4485981308411215, 'overall_recall': 0.5406758448060075, 'overall_f1': 0.49035187287173665, 'overall_accuracy': 0.710806141567511}
			------------EPOCH 20---------------
Loss: tensor(26.4577, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.1034, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(51.1580, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(101.7172, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.5929, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.0508, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.7835, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.1530, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.4354, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.0488, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.7598, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.2312, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.6656, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.39501779359430605, 'recall': 0.4911504424778761, 'f1': 0.4378698224852071, 'number': 678}, 'P': {'precision': 0.49107981220657276, 'recall': 0.5684782608695652, 'f1': 0.5269521410579344, 'number': 920}, 'overall_precision': 0.44863731656184486, 'overall_recall': 0.5356695869837297, 'overall_f1': 0.4883057615516258, 'overall_accuracy': 0.7113414604472346}
			------------EPOCH 21---------------
Loss: tensor(23.5553, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.2361, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.2915, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.8689, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.6911, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(73.2472, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.9482, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.7743, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.4461, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.9756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.7470, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.1235, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.9225, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.5526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.6051, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.9932, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.0478, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.7844, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(84.6302, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.5846, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.7503, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.2299, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.3488, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.9879, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(46.5525, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.0205, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.8507, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.6984, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.38869257950530034, 'recall': 0.48672566371681414, 'f1': 0.43222003929273084, 'number': 678}, 'P': {'precision': 0.4958139534883721, 'recall': 0.5793478260869566, 'f1': 0.5343358395989974, 'number': 920}, 'overall_precision': 0.44854469854469853, 'overall_recall': 0.5400500625782227, 'overall_f1': 0.49006246450880175, 'overall_accuracy': 0.7087135314013189}
			------------EPOCH 22---------------
Loss: tensor(21.4791, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.1680, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.2575, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.8992, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(51.2763, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.4284, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.8815, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.9062, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.3032, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.6047, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.0313, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.9441, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.3381, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.5804, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.8162, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(62.8351, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.2346, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.2293, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(74.7204, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(41.1995, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.8613, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.3545, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.5476, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.2714, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(23.9404, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.2748, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3820093457943925, 'recall': 0.4823008849557522, 'f1': 0.42633637548891784, 'number': 678}, 'P': {'precision': 0.49229287090558765, 'recall': 0.5554347826086956, 'f1': 0.5219611848825332, 'number': 920}, 'overall_precision': 0.4424498416050686, 'overall_recall': 0.5244055068836045, 'overall_f1': 0.47995418098510884, 'overall_accuracy': 0.7084702046378081}
			------------EPOCH 23---------------
Loss: tensor(20.3638, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.3036, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.4617, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.5457, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.2708, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(42.2310, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1718, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.3899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.5287, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.6138, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.7703, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.7196, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(68.1622, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.6405, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.8945, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(32.5844, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(16.6676, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.4773, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.3895, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.1040, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.7139, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3838973162193699, 'recall': 0.48525073746312686, 'f1': 0.42866449511400656, 'number': 678}, 'P': {'precision': 0.4995383194829178, 'recall': 0.5880434782608696, 'f1': 0.5401897154268598, 'number': 920}, 'overall_precision': 0.4484536082474227, 'overall_recall': 0.5444305381727159, 'overall_f1': 0.49180327868852464, 'overall_accuracy': 0.7080078837871377}
			------------EPOCH 24---------------
Loss: tensor(19.1729, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.1985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.7286, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(33.5380, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(20.6224, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.5952, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3867141162514828, 'recall': 0.4808259587020649, 'f1': 0.4286653517422748, 'number': 678}, 'P': {'precision': 0.5023430178069354, 'recall': 0.5826086956521739, 'f1': 0.5395067941620533, 'number': 920}, 'overall_precision': 0.4513089005235602, 'overall_recall': 0.5394242803504381, 'overall_f1': 0.491448118586089, 'overall_accuracy': 0.7072292381439035}
			------------EPOCH 25---------------
Loss: tensor(18.0311, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5.4010, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.2677, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(29.2011, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(27.3241, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3815028901734104, 'recall': 0.48672566371681414, 'f1': 0.4277381723914452, 'number': 678}, 'P': {'precision': 0.4900095147478592, 'recall': 0.5597826086956522, 'f1': 0.5225773718924404, 'number': 920}, 'overall_precision': 0.4410229645093946, 'overall_recall': 0.5287859824780976, 'overall_f1': 0.48093340922026184, 'overall_accuracy': 0.706377594471616}


		-------------RUN 3-----------
			------------EPOCH 1---------------
Loss: tensor(2080.2756, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1998.2119, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1688.5219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1853.6531, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1530.1194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1108.2302, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.05186170212765957, 'recall': 0.05547652916073969, 'f1': 0.05360824742268042, 'number': 703}, 'P': {'precision': 0.3333333333333333, 'recall': 0.002136752136752137, 'f1': 0.004246284501061572, 'number': 936}, 'overall_precision': 0.05408970976253298, 'overall_recall': 0.025015253203172667, 'overall_f1': 0.03420942845223195, 'overall_accuracy': 0.3124437497039458}
			------------EPOCH 2---------------
Loss: tensor(1595.2992, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1520.6414, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1272.5663, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1325.5264, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(962.1652, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.1595221363316936, 'recall': 0.3229018492176387, 'f1': 0.21354656632173094, 'number': 703}, 'P': {'precision': 0.5180722891566265, 'recall': 0.045940170940170943, 'f1': 0.08439646712463199, 'number': 936}, 'overall_precision': 0.17928286852589642, 'overall_recall': 0.16473459426479561, 'overall_f1': 0.1717011128775835, 'overall_accuracy': 0.39900999478944627}
			------------EPOCH 3---------------
Loss: tensor(1368.3035, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1299.8696, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1079.2578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(957.0640, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2500.7561, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1696.1112, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1867.3978, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1275.2920, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2270.3286, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1899.5159, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1660.7522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2179.0803, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1612.7958, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2101.8320, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2655.8564, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1832.9004, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1619.7695, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2357.1865, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4832.4189, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2435.9194, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2179.7468, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(720.8522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1257.2039, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1964.8223, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3471.8447, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2596.4387, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2042.5753, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1819.7646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1192.2983, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(883.4832, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.1711111111111111, 'recall': 0.3285917496443812, 'f1': 0.22503653190452994, 'number': 703}, 'P': {'precision': 0.43258426966292135, 'recall': 0.08226495726495726, 'f1': 0.13824057450628366, 'number': 936}, 'overall_precision': 0.20157068062827224, 'overall_recall': 0.18791946308724833, 'overall_f1': 0.19450584149036942, 'overall_accuracy': 0.4597603145279712}
			------------EPOCH 4---------------
Loss: tensor(1252.0228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1185.8704, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(997.7324, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(861.4018, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2252.2622, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1387.4606, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1550.4680, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1228.6007, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1984.3342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1613.1060, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1489.5438, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1841.5652, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1360.9835, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1698.3715, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2106.8701, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1594.3865, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1377.5005, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2223.7932, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4361.2583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2067.8347, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1966.8296, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(611.6151, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1046.0760, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1850.7104, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3326.0012, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2271.7969, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1635.3867, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1672.4309, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(987.4048, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(760.7643, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.20450033090668432, 'recall': 0.4395448079658606, 'f1': 0.2791327913279133, 'number': 703}, 'P': {'precision': 0.5397489539748954, 'recall': 0.13782051282051283, 'f1': 0.21957446808510644, 'number': 936}, 'overall_precision': 0.2502857142857143, 'overall_recall': 0.2672361195851129, 'overall_f1': 0.2584833284154618, 'overall_accuracy': 0.48034200180000947}
			------------EPOCH 5---------------
Loss: tensor(990.9557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(962.7588, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(799.3215, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(580.4008, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1245.0033, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1054.4750, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1861.2263, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1473.5344, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1411.0106, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1644.7209, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1229.9375, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1405.8290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1611.4974, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1723.9761, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1186.0945, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1764.6567, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3872.4614, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1616.3650, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1669.5314, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(494.6264, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(829.8640, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1453.0889, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2981.1533, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2131.0046, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1465.2833, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1693.4084, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(886.0450, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(703.6042, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.22122448979591836, 'recall': 0.38549075391180654, 'f1': 0.28112033195020747, 'number': 703}, 'P': {'precision': 0.4051355206847361, 'recall': 0.3034188034188034, 'f1': 0.34697617593158214, 'number': 936}, 'overall_precision': 0.2881619937694704, 'overall_recall': 0.338621110433191, 'overall_f1': 0.31136044880785413, 'overall_accuracy': 0.5741793377859884}
			------------EPOCH 6---------------
Loss: tensor(1013.5360, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(958.8161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(744.8861, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1304.6128, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1186.1240, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1437.8650, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1362.6196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1335.7615, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(398.4482, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(677.9548, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1121.4452, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2046.4161, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1538.2007, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1369.2288, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(665.6346, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(594.3867, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3465553235908142, 'recall': 0.2361308677098151, 'f1': 0.28087986463620984, 'number': 703}, 'P': {'precision': 0.4689807976366322, 'recall': 0.6784188034188035, 'f1': 0.5545851528384279, 'number': 936}, 'overall_precision': 0.4369885433715221, 'overall_recall': 0.48871262965222695, 'overall_f1': 0.4614055299539171, 'overall_accuracy': 0.6629719103784757}
			------------EPOCH 7---------------
Loss: tensor(762.6708, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(780.1031, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(766.1348, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(509.5688, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(889.0896, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(913.6304, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1277.6056, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1399.9165, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1158.5259, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1023.2145, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(3091.6995, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(989.1531, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1038.5935, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(345.2265, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(640.9419, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1091.8451, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1832.4019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1351.2552, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1143.6721, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1214.5067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(483.9376, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(404.5060, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.31386861313868614, 'recall': 0.42816500711237554, 'f1': 0.3622141997593261, 'number': 703}, 'P': {'precision': 0.5076297049847406, 'recall': 0.5331196581196581, 'f1': 0.5200625325690464, 'number': 936}, 'overall_precision': 0.411946446961895, 'overall_recall': 0.4881025015253203, 'overall_f1': 0.44680256911477245, 'overall_accuracy': 0.646037610724267}
			------------EPOCH 8---------------
Loss: tensor(577.4230, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(634.0999, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(508.8402, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(691.4791, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1150.5381, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(956.9242, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(683.8311, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(907.5704, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(336.9541, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(762.6804, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1164.0400, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(886.4280, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(309.1947, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(269.6118, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3570110701107011, 'recall': 0.55049786628734, 'f1': 0.4331281477336318, 'number': 703}, 'P': {'precision': 0.606516290726817, 'recall': 0.5170940170940171, 'f1': 0.5582468281430218, 'number': 936}, 'overall_precision': 0.4628055260361318, 'overall_recall': 0.5314215985356925, 'overall_f1': 0.4947458108491906, 'overall_accuracy': 0.6651271848799204}
			------------EPOCH 9---------------
Loss: tensor(378.1102, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(453.6793, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(304.6325, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(756.6700, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(293.1367, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(245.9148, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3492063492063492, 'recall': 0.5320056899004267, 'f1': 0.42164599774520856, 'number': 703}, 'P': {'precision': 0.6254980079681275, 'recall': 0.33547008547008544, 'f1': 0.4367176634214186, 'number': 936}, 'overall_precision': 0.43738080101716464, 'overall_recall': 0.4197681513117755, 'overall_f1': 0.42839352428393523, 'overall_accuracy': 0.631258585571503}
			------------EPOCH 10---------------
Loss: tensor(681.3278, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(554.2195, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(293.3940, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(252.4056, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(494.9741, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(557.2183, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(571.4731, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(562.2140, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(330.7946, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(401.1617, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(395.4754, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(360.4072, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(566.7578, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1883.9991, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(385.1830, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(662.7108, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(186.4477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(301.6644, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1081.7393, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(223.2349, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(193.3400, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3438527284681131, 'recall': 0.7439544807965861, 'f1': 0.4703237410071943, 'number': 703}, 'P': {'precision': 0.6504065040650406, 'recall': 0.2564102564102564, 'f1': 0.36781609195402293, 'number': 936}, 'overall_precision': 0.40370370370370373, 'overall_recall': 0.46552776082977426, 'overall_f1': 0.4324171153301219, 'overall_accuracy': 0.5582397802093695}
			------------EPOCH 11---------------
Loss: tensor(281.7461, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(466.7838, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(284.0771, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(161.5928, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(433.2854, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(539.7191, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(473.0882, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(531.2887, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(250.8608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(334.5795, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(366.2822, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(339.2462, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(334.6284, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(378.6422, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(207.1705, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(959.8915, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(247.3182, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(168.1306, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.4196319018404908, 'recall': 0.4864864864864865, 'f1': 0.45059288537549413, 'number': 703}, 'P': {'precision': 0.5503421309872922, 'recall': 0.6014957264957265, 'f1': 0.5747830525778458, 'number': 936}, 'overall_precision': 0.4923830250272035, 'overall_recall': 0.5521659548505186, 'overall_f1': 0.5205637043428243, 'overall_accuracy': 0.6927904883709914}
			------------EPOCH 12---------------
Loss: tensor(285.8283, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(265.0667, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(187.8856, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(212.0520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(302.2385, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(394.3219, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(342.4071, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(382.0923, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(410.8072, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(389.7003, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(537.9478, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(467.4341, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(692.3807, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(734.4048, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1661.2429, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(346.2381, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(257.4841, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(113.5271, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(175.5627, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(316.1260, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(411.1340, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(320.1055, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(346.3098, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(427.2685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(119.1251, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.6853, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.4766666666666667, 'recall': 0.406827880512091, 'f1': 0.4389869531849578, 'number': 703}, 'P': {'precision': 0.4992401215805471, 'recall': 0.7019230769230769, 'f1': 0.58348134991119, 'number': 936}, 'overall_precision': 0.4921711899791232, 'overall_recall': 0.5753508236729713, 'overall_f1': 0.530520393811533, 'overall_accuracy': 0.6894273127753304}
			------------EPOCH 13---------------
Loss: tensor(322.5199, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(333.9011, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(195.1209, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(154.1965, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(409.3882, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(703.1226, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(812.4463, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(298.1419, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(181.5597, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(218.5038, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(172.3236, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(184.1317, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(92.7411, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(185.2422, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(556.1476, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(370.7038, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(412.7690, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(383.0826, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(133.9928, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.5305, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.39026402640264024, 'recall': 0.6728307254623044, 'f1': 0.4939947780678851, 'number': 703}, 'P': {'precision': 0.5689655172413793, 'recall': 0.3525641025641026, 'f1': 0.4353562005277046, 'number': 936}, 'overall_precision': 0.44810267857142855, 'overall_recall': 0.4899328859060403, 'overall_f1': 0.46808510638297873, 'overall_accuracy': 0.6457533987020985}
			------------EPOCH 14---------------
Loss: tensor(161.1156, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(129.7485, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(117.2276, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(273.3570, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(139.1546, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(234.8861, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(268.4613, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(222.2881, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(190.7021, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(132.5251, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(58.4764, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(110.8856, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(165.6115, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(84.0006, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.5067, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.44787644787644787, 'recall': 0.4950213371266003, 'f1': 0.47027027027027024, 'number': 703}, 'P': {'precision': 0.5265610438024231, 'recall': 0.6036324786324786, 'f1': 0.5624688899950223, 'number': 936}, 'overall_precision': 0.4935135135135135, 'overall_recall': 0.5570469798657718, 'overall_f1': 0.5233591286901691, 'overall_accuracy': 0.7032589645208659}
			------------EPOCH 15---------------
Loss: tensor(134.7152, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(92.9355, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(71.8392, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(84.1046, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.2845, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.40233236151603496, 'recall': 0.5889046941678521, 'f1': 0.4780600461893764, 'number': 703}, 'P': {'precision': 0.5772946859903382, 'recall': 0.5106837606837606, 'f1': 0.5419501133786848, 'number': 936}, 'overall_precision': 0.48034464189553044, 'overall_recall': 0.5442342892007321, 'overall_f1': 0.5102974828375286, 'overall_accuracy': 0.6887404670550897}
			------------EPOCH 16---------------
Loss: tensor(99.1457, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(60.0823, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.4282848545636911, 'recall': 0.6073968705547653, 'f1': 0.5023529411764706, 'number': 703}, 'P': {'precision': 0.5945303210463734, 'recall': 0.5341880341880342, 'f1': 0.5627462014631401, 'number': 936}, 'overall_precision': 0.5043525571273123, 'overall_recall': 0.565588773642465, 'overall_f1': 0.5332182916307161, 'overall_accuracy': 0.6876983563071385}
			------------EPOCH 17---------------
Loss: tensor(68.1016, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.9371, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.0396, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(40.2394, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(68.7484, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.3711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.4685, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.0350, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.8015, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.8381, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(42.4768, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.2955, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.5184, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(181.5555, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.1391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(69.1781, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.2582, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.3087, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.4985, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.7353, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(102.7532, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(117.7713, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.1764, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.1124, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.0016, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.445823927765237, 'recall': 0.561877667140825, 'f1': 0.49716803020767775, 'number': 703}, 'P': {'precision': 0.5676229508196722, 'recall': 0.5918803418803419, 'f1': 0.5794979079497908, 'number': 936}, 'overall_precision': 0.5096670247046187, 'overall_recall': 0.5790115924344112, 'overall_f1': 0.5421308197657811, 'overall_accuracy': 0.7051773956705035}
			------------EPOCH 18---------------
Loss: tensor(59.8990, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.3377, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.8258, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.3058, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(67.2973, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(28.1003, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.0365, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(47.4391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.8709, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.6339, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.7000, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.4539, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.7282, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.1323, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.7311, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.2162, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(146.1478, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.0462, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.8342, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.2752, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.4515, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.7922, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.9534, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.4667, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(77.6075, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.5995, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.6783, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.43613707165109034, 'recall': 0.5974395448079659, 'f1': 0.5042016806722689, 'number': 703}, 'P': {'precision': 0.5911664779161948, 'recall': 0.5576923076923077, 'f1': 0.5739417262231996, 'number': 936}, 'overall_precision': 0.5102925243770314, 'overall_recall': 0.5747406955460647, 'overall_f1': 0.5406025824964132, 'overall_accuracy': 0.6962957699777367}
			------------EPOCH 19---------------
Loss: tensor(42.0504, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.7159, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.6816, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.4835, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(22.8122, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.1632, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.7557, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.4041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.1766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.7522, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.1537, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.5995, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.0666, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.4798, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.7373, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(118.5895, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.2231, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(20.3332, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.8644, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.3126, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.0255, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(77.7845, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(59.9594, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.2713, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6007, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.4267068273092369, 'recall': 0.604551920341394, 'f1': 0.5002942907592701, 'number': 703}, 'P': {'precision': 0.5870069605568445, 'recall': 0.5405982905982906, 'f1': 0.5628476084538376, 'number': 936}, 'overall_precision': 0.5010764262648009, 'overall_recall': 0.5680292861500915, 'overall_f1': 0.5324563911924507, 'overall_accuracy': 0.6896878404623182}
			------------EPOCH 20---------------
Loss: tensor(33.0526, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9953, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.2128, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9927, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.6800, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(18.4870, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.8041, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.6168, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.1351, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.1261, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.2524, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(21.8268, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.9992, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.0374, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(99.2060, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.0172, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.5129, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.2245, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.3435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.7171, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.8256, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(74.6604, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(64.5144, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.3633, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.0797, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.1382, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.43143459915611815, 'recall': 0.5817923186344239, 'f1': 0.4954572986069048, 'number': 703}, 'P': {'precision': 0.575, 'recall': 0.5651709401709402, 'f1': 0.5700431034482758, 'number': 936}, 'overall_precision': 0.5021413276231264, 'overall_recall': 0.5723001830384381, 'overall_f1': 0.534930139720559, 'overall_accuracy': 0.6944483918336413}
			------------EPOCH 21---------------
Loss: tensor(28.6762, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.7987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.6818, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.1118, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(16.0806, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(23.5100, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.1458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.2046, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(18.4406, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.1899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.9944, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.0473, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.4234, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.4604, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.0845, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.4284, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.8690, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(70.5045, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(15.0067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.3551, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.4368932038834951, 'recall': 0.5761024182076814, 'f1': 0.4969325153374234, 'number': 703}, 'P': {'precision': 0.5654450261780105, 'recall': 0.5769230769230769, 'f1': 0.5711263881544155, 'number': 936}, 'overall_precision': 0.502125398512221, 'overall_recall': 0.5765710799267846, 'overall_f1': 0.536779324055666, 'overall_accuracy': 0.6952536592297854}
			------------EPOCH 22---------------
Loss: tensor(24.9483, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.4910, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.5587, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(20.1140, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(14.7436, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(11.9247, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(66.2498, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(13.1344, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(6.8404, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.4387646432374867, 'recall': 0.5860597439544808, 'f1': 0.5018270401948842, 'number': 703}, 'P': {'precision': 0.5764331210191083, 'recall': 0.5801282051282052, 'f1': 0.5782747603833865, 'number': 936}, 'overall_precision': 0.5077086656034024, 'overall_recall': 0.5826723611958511, 'overall_f1': 0.5426136363636364, 'overall_accuracy': 0.6977168300885794}
			------------EPOCH 23---------------
Loss: tensor(20.1701, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.5065, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.8761, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(19.5631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.8253, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.43803418803418803, 'recall': 0.5832147937411095, 'f1': 0.5003050640634533, 'number': 703}, 'P': {'precision': 0.5815899581589958, 'recall': 0.594017094017094, 'f1': 0.5877378435517969, 'number': 936}, 'overall_precision': 0.5105708245243129, 'overall_recall': 0.5893837705918242, 'overall_f1': 0.5471537807986406, 'overall_accuracy': 0.7009142153379755}
			------------EPOCH 24---------------
Loss: tensor(25.5164, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.3451, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.0221, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(25.5136, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.1679, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(41.8060, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.5593, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.6026, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.5395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(88.2667, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.1589, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(37.0426, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.4827, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.9300, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.0231, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.6259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(77.3616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(124.7331, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(48.8105, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.2170, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.1264, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.44805194805194803, 'recall': 0.5889046941678521, 'f1': 0.5089121081745545, 'number': 703}, 'P': {'precision': 0.5690376569037657, 'recall': 0.5811965811965812, 'f1': 0.5750528541226215, 'number': 936}, 'overall_precision': 0.5095744680851064, 'overall_recall': 0.5845027455765711, 'overall_f1': 0.5444728616084115, 'overall_accuracy': 0.7016484297285775}
			------------EPOCH 25---------------
Loss: tensor(25.3323, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.7638, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.5660, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.7656, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.9374, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(20.6538, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.9545, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.5854, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.1988, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.3988, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.4724, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.4153, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.9828, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.6005, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.7363, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(23.3503, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(75.7517, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.6626, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.8666, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.2890, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.8144, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.4168, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.2946, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.4448, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(28.1617, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(19.9833, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.4391304347826087, 'recall': 0.5746799431009957, 'f1': 0.49784349969192865, 'number': 703}, 'P': {'precision': 0.5741127348643006, 'recall': 0.5876068376068376, 'f1': 0.5807814149947201, 'number': 936}, 'overall_precision': 0.5079872204472844, 'overall_recall': 0.5820622330689444, 'overall_f1': 0.5425078191640603, 'overall_accuracy': 0.6998957889252049}


		-------------RUN 4-----------
			------------EPOCH 1---------------
Loss: tensor(2229.1890, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(5864.7021, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3264.3159, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2463.1899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1193.0199, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2087.7493, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2574.2539, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3050.1943, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3063.3188, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2163.3586, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1517.0791, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3609.3152, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2795.3804, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2252.5361, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2192.9531, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2113.1023, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1416.8583, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1622.2860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1353.0297, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1238.4338, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2361.3879, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1925.0319, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2540.1724, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2661.9404, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4314.5010, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2058.2102, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3005.9980, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1391.1399, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1205.1476, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.04918032786885246, 'recall': 0.0069605568445475635, 'f1': 0.012195121951219511, 'number': 862}, 'P': {'precision': 0.008733624454148471, 'recall': 0.0021953896816684962, 'f1': 0.003508771929824561, 'number': 911}, 'overall_precision': 0.022792022792022793, 'overall_recall': 0.0045121263395375075, 'overall_f1': 0.007532956685499059, 'overall_accuracy': 0.3953298357271867}
			------------EPOCH 2---------------
Loss: tensor(1966.7158, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4913.1841, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2477.7952, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2031.5139, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(967.4571, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1872.1382, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2322.6416, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2610.7593, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1858.7649, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1153.5581, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2878.7207, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2325.1921, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1872.9792, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1839.8391, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1708.9794, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1141.1968, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1348.3702, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1136.4480, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1041.9866, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2034.5790, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1696.1680, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2262.6221, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2275.0137, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3574.7166, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1627.8816, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2611.1416, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1225.2225, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1063.3855, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.1111111111111111, 'recall': 0.009280742459396751, 'f1': 0.017130620985010704, 'number': 862}, 'P': {'precision': 0.2731893265565438, 'recall': 0.47200878155872666, 'f1': 0.3460764587525151, 'number': 911}, 'overall_precision': 0.2660996354799514, 'overall_recall': 0.2470389170896785, 'overall_f1': 0.2562152676221117, 'overall_accuracy': 0.4854003612281758}
			------------EPOCH 3---------------
Loss: tensor(1552.9067, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4305.3428, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2024.5872, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1533.6196, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(847.3390, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1554.3428, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1999.1661, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2221.9578, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1714.5281, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(923.2766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2374.2500, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1875.9069, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1520.3629, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1454.1655, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1489.2915, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(936.4296, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1164.7581, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(963.3154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(871.1304, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1730.3129, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1551.5535, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1990.5287, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1867.7473, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2999.2546, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1346.5347, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2268.8252, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1107.5151, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(880.2844, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.24848484848484848, 'recall': 0.14269141531322505, 'f1': 0.18128224023581427, 'number': 862}, 'P': {'precision': 0.24513888888888888, 'recall': 0.38748627881448955, 'f1': 0.30029774564015316, 'number': 911}, 'overall_precision': 0.24599483204134368, 'overall_recall': 0.2684715172024817, 'overall_f1': 0.25674217907227614, 'overall_accuracy': 0.5380579685215446}
			------------EPOCH 4---------------
Loss: tensor(1272.4725, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(4223.6543, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1828.6084, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1226.6824, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(698.9958, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1273.4915, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1653.1262, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1939.2787, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1571.4960, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(695.6311, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1936.4103, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1578.9331, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1251.3291, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1181.7778, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1254.7344, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(811.4696, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1059.8828, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(842.7708, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(815.8276, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1578.8322, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1450.7053, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1786.8125, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1625.2877, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2500.1848, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1029.2449, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1877.0286, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(979.9175, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(772.3815, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.23174603174603176, 'recall': 0.08468677494199536, 'f1': 0.12404418011894648, 'number': 862}, 'P': {'precision': 0.23311802701115678, 'recall': 0.43578485181119647, 'f1': 0.30374904361132365, 'number': 911}, 'overall_precision': 0.23290386521308226, 'overall_recall': 0.2650874224478285, 'overall_f1': 0.24795568451595884, 'overall_accuracy': 0.5220177173819558}
			------------EPOCH 5---------------
Loss: tensor(1059.6165, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3652.8901, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1698.3801, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(974.9528, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(662.1500, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(797.2999, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1110.0631, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1562.9236, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1787.8402, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1441.9678, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(557.0781, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1711.0701, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1469.6208, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1004.7675, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(686.3090, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(954.7648, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(742.6245, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(714.6435, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1315.7004, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1259.2014, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1383.7355, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1494.7228, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2599.3098, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1121.4688, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2097.0474, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(872.2709, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(669.8456, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3133208255159475, 'recall': 0.1937354988399072, 'f1': 0.23942652329749106, 'number': 862}, 'P': {'precision': 0.3818924438393465, 'recall': 0.6158068057080132, 'f1': 0.4714285714285714, 'number': 911}, 'overall_precision': 0.36363636363636365, 'overall_recall': 0.41060349689791314, 'overall_f1': 0.38569536423841055, 'overall_accuracy': 0.610432613743872}
			------------EPOCH 6---------------
Loss: tensor(816.2167, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2641.3472, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1260.8096, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1313.3118, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1414.6122, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(538.4423, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(558.6068, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1236.9011, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1117.0735, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1367.9897, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1088.8247, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1874.2482, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(759.0496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(585.0162, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.31904161412358134, 'recall': 0.5870069605568445, 'f1': 0.41339869281045755, 'number': 862}, 'P': {'precision': 0.5885885885885885, 'recall': 0.21514818880351264, 'f1': 0.31511254019292606, 'number': 911}, 'overall_precision': 0.3658155289213132, 'overall_recall': 0.39593908629441626, 'overall_f1': 0.38028169014084506, 'overall_accuracy': 0.5695149221639287}
			------------EPOCH 7---------------
Loss: tensor(1043.7673, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2527.9922, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1395.6923, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(614.8937, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(978.0887, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1179.7341, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(409.8019, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1432.9496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1082.9949, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(537.4274, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.39420289855072466, 'recall': 0.15777262180974477, 'f1': 0.22535211267605632, 'number': 862}, 'P': {'precision': 0.38128249566724437, 'recall': 0.7244785949506037, 'f1': 0.4996214988644966, 'number': 911}, 'overall_precision': 0.3834296724470135, 'overall_recall': 0.44895657078398193, 'overall_f1': 0.41361392569498573, 'overall_accuracy': 0.599789283564118}
			------------EPOCH 8---------------
Loss: tensor(551.7374, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1944.1814, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(919.2138, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(989.4175, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(327.4394, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1024.2061, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(341.3809, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.41286307053941906, 'recall': 0.4617169373549884, 'f1': 0.4359255202628696, 'number': 862}, 'P': {'precision': 0.4450402144772118, 'recall': 0.5466520307354555, 'f1': 0.49064039408867, 'number': 911}, 'overall_precision': 0.4301488238118099, 'overall_recall': 0.5053581500282008, 'overall_f1': 0.46473029045643155, 'overall_accuracy': 0.6447922937989163}
			------------EPOCH 9---------------
Loss: tensor(470.5489, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1616.5527, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(628.9666, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(206.7352, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.4126506024096386, 'recall': 0.4767981438515081, 'f1': 0.4424111948331539, 'number': 862}, 'P': {'precision': 0.4681034482758621, 'recall': 0.5960482985729967, 'f1': 0.5243843553838724, 'number': 911}, 'overall_precision': 0.4424860853432282, 'overall_recall': 0.5380710659898477, 'overall_f1': 0.48561975057266477, 'overall_accuracy': 0.6490496258708179}
			------------EPOCH 10---------------
Loss: tensor(335.7177, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1075.7124, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(453.0054, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(165.1009, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.36563436563436563, 'recall': 0.4245939675174014, 'f1': 0.392914653784219, 'number': 862}, 'P': {'precision': 0.5279138099902057, 'recall': 0.5916575192096597, 'f1': 0.5579710144927537, 'number': 911}, 'overall_precision': 0.4475766567754698, 'overall_recall': 0.5104342921601804, 'overall_f1': 0.47694334650856385, 'overall_accuracy': 0.6801840543562397}
			------------EPOCH 11---------------
Loss: tensor(249.1819, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(977.2808, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(251.5484, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(223.4205, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.4247, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.4449760765550239, 'recall': 0.5394431554524362, 'f1': 0.4876769795490299, 'number': 862}, 'P': {'precision': 0.518, 'recall': 0.5686059275521405, 'f1': 0.5421245421245421, 'number': 911}, 'overall_precision': 0.4806845965770171, 'overall_recall': 0.5544275239706712, 'overall_f1': 0.5149292823467784, 'overall_accuracy': 0.6787434419884751}
			------------EPOCH 12---------------
Loss: tensor(148.4619, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(465.2310, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(132.4054, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(109.1778, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.5068181818181818, 'recall': 0.25870069605568446, 'f1': 0.34254992319508454, 'number': 862}, 'P': {'precision': 0.44155844155844154, 'recall': 0.7464324917672887, 'f1': 0.5548755609955119, 'number': 911}, 'overall_precision': 0.45606060606060606, 'overall_recall': 0.5093062605752962, 'overall_f1': 0.4812150279776179, 'overall_accuracy': 0.6568977380235659}
			------------EPOCH 13---------------
Loss: tensor(197.9154, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(475.5903, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(216.8325, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.49264705882352944, 'recall': 0.3109048723897912, 'f1': 0.3812233285917497, 'number': 862}, 'P': {'precision': 0.4599326599326599, 'recall': 0.7497255762897914, 'f1': 0.5701168614357262, 'number': 911}, 'overall_precision': 0.46870379497289305, 'overall_recall': 0.5363790186125211, 'overall_f1': 0.5002630194634403, 'overall_accuracy': 0.6660359508041628}
			------------EPOCH 14---------------
Loss: tensor(70.6221, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(227.5358, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(103.2645, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.3260, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(231.1945, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(231.3795, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(315.5275, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(657.0446, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(330.0976, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(173.3064, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(161.0464, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(126.1611, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.4101646385110952, 'recall': 0.6647331786542924, 'f1': 0.5073041168658698, 'number': 862}, 'P': {'precision': 0.5776119402985075, 'recall': 0.424807903402854, 'f1': 0.48956356736242895, 'number': 911}, 'overall_precision': 0.4644412191582003, 'overall_recall': 0.5414551607445008, 'overall_f1': 0.5, 'overall_accuracy': 0.658166336974284}
			------------EPOCH 15---------------
Loss: tensor(292.6616, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(634.1088, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(219.1886, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(283.1481, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(161.6749, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(431.1644, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(417.7864, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(326.1720, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(86.9231, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(590.5608, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(265.2154, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(50.1784, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.496551724137931, 'recall': 0.33410672853828305, 'f1': 0.39944521497919555, 'number': 862}, 'P': {'precision': 0.4681620839363242, 'recall': 0.7102085620197585, 'f1': 0.5643262102049718, 'number': 911}, 'overall_precision': 0.4765545361875637, 'overall_recall': 0.5273547659334461, 'overall_f1': 0.5006693440428381, 'overall_accuracy': 0.6813881482755655}
			------------EPOCH 16---------------
Loss: tensor(51.0766, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(144.9740, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(66.9030, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(38.7878, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(126.4860, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(108.1984, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(55.1851, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(175.0191, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(123.0564, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(70.8683, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.0777, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.45985401459854014, 'recall': 0.4385150812064965, 'f1': 0.4489311163895487, 'number': 862}, 'P': {'precision': 0.5041390728476821, 'recall': 0.6684961580680571, 'f1': 0.5747994336951393, 'number': 911}, 'overall_precision': 0.4862068965517241, 'overall_recall': 0.55668358714044, 'overall_f1': 0.5190638969234814, 'overall_accuracy': 0.690225337576331}
			------------EPOCH 17---------------
Loss: tensor(34.0149, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(102.2878, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.1196, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(34.1923, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(73.1406, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(65.2933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.9891, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.42515500442869797, 'recall': 0.5568445475638051, 'f1': 0.4821697639377197, 'number': 862}, 'P': {'precision': 0.5437302423603794, 'recall': 0.566410537870472, 'f1': 0.5548387096774193, 'number': 911}, 'overall_precision': 0.4793070259865255, 'overall_recall': 0.5617597292724196, 'overall_f1': 0.517268242015061, 'overall_accuracy': 0.6940096327513546}
			------------EPOCH 18---------------
Loss: tensor(37.2775, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(94.2209, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.2047, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(15.5553, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.45847554038680316, 'recall': 0.46751740139211134, 'f1': 0.46295232624928195, 'number': 862}, 'P': {'precision': 0.5232660228270413, 'recall': 0.6542261251372119, 'f1': 0.5814634146341463, 'number': 911}, 'overall_precision': 0.4950445986124876, 'overall_recall': 0.5634517766497462, 'overall_f1': 0.5270377209179636, 'overall_accuracy': 0.6906123677646856}
			------------EPOCH 19---------------
Loss: tensor(19.1661, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.2215, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.3787, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(10.2993, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.46115906288532676, 'recall': 0.43387470997679817, 'f1': 0.44710101613867304, 'number': 862}, 'P': {'precision': 0.5073649754500819, 'recall': 0.6805708013172338, 'f1': 0.5813408345053914, 'number': 911}, 'overall_precision': 0.4889326119035908, 'overall_recall': 0.5606316976875353, 'overall_f1': 0.5223331581713084, 'overall_accuracy': 0.6859035004730369}
			------------EPOCH 20---------------
Loss: tensor(12.7235, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(49.1221, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.7942, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.44823529411764707, 'recall': 0.4419953596287703, 'f1': 0.44509345794392524, 'number': 862}, 'P': {'precision': 0.5144270403957131, 'recall': 0.6849615806805708, 'f1': 0.5875706214689266, 'number': 911}, 'overall_precision': 0.48715462918080465, 'overall_recall': 0.5668358714043993, 'overall_f1': 0.5239833159541188, 'overall_accuracy': 0.6854734669304205}
			------------EPOCH 21---------------
Loss: tensor(8.1744, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.6757, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.4116, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(15.4535, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.8229, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.8795, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.9138, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.1290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.9226, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5794, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.7611, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.9956, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.1822, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.2409, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.0153, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.2061, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.1373, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(77.1358, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.3645, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.4099, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.5290, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.7665, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.4375, 'recall': 0.4547563805104408, 'f1': 0.4459613196814562, 'number': 862}, 'P': {'precision': 0.4953742640874685, 'recall': 0.6465422612513722, 'f1': 0.5609523809523811, 'number': 911}, 'overall_precision': 0.47050359712230216, 'overall_recall': 0.5532994923857868, 'overall_f1': 0.5085536547433903, 'overall_accuracy': 0.6882901866345575}
			------------EPOCH 22---------------
Loss: tensor(25.2896, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(53.3593, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.1950, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.9004, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.8570, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.4559, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.6457, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(22.9054, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.4539, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.3969, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.5835, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(40.5159, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.4431, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(27.3848, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.3944, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.4387, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.9073, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.7443, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(18.2232, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.0226, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.4744, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.0501, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(35.3671, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(63.0227, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.6240, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(29.6301, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.5487, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.4244762954796031, 'recall': 0.4466357308584687, 'f1': 0.4352741661955907, 'number': 862}, 'P': {'precision': 0.4829642248722317, 'recall': 0.6223929747530187, 'f1': 0.5438848920863311, 'number': 911}, 'overall_precision': 0.45747236905333977, 'overall_recall': 0.5369430344049634, 'overall_f1': 0.49403217436429686, 'overall_accuracy': 0.6893007654597059}
			------------EPOCH 23---------------
Loss: tensor(19.7423, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(59.2945, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.2920, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(23.2395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.9588, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.5818, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.7091, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.6191, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.9781, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(36.5093, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(31.6694, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.4674, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.4821, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.8530, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(28.0431, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(22.0269, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.1471, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.43261608154020387, 'recall': 0.4431554524361949, 'f1': 0.4378223495702006, 'number': 862}, 'P': {'precision': 0.4814502529510961, 'recall': 0.6267837541163557, 'f1': 0.5445875059608964, 'number': 911}, 'overall_precision': 0.4606089898501692, 'overall_recall': 0.5375070501974055, 'overall_f1': 0.4960957834461218, 'overall_accuracy': 0.6898598090651071}
			------------EPOCH 24---------------
Loss: tensor(17.2916, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(50.8511, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(26.4616, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(22.7710, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(46.3138, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(19.1813, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.3572, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.4236343366778149, 'recall': 0.4408352668213457, 'f1': 0.4320636725412166, 'number': 862}, 'P': {'precision': 0.48794679966749793, 'recall': 0.6443468715697036, 'f1': 0.5553453169347209, 'number': 911}, 'overall_precision': 0.4604761904761905, 'overall_recall': 0.5454032712915962, 'overall_f1': 0.4993545055512522, 'overall_accuracy': 0.6894942805538832}
			------------EPOCH 25---------------
Loss: tensor(9.6492, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(44.2209, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(12.4177, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(6.9269, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.42527472527472526, 'recall': 0.44895591647331784, 'f1': 0.4367945823927765, 'number': 862}, 'P': {'precision': 0.4908485856905158, 'recall': 0.6476399560922064, 'f1': 0.5584477046852816, 'number': 911}, 'overall_precision': 0.46259469696969696, 'overall_recall': 0.551043429216018, 'overall_f1': 0.502960102960103, 'overall_accuracy': 0.690569364410424}


		-------------RUN 5-----------
			------------EPOCH 1---------------
Loss: tensor(3774.3672, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3814.2163, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1746.5599, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(5343.9678, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3203.2681, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.07244785949506037, 'recall': 0.09401709401709402, 'f1': 0.08183508989460632, 'number': 702}, 'P': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 936}, 'overall_precision': 0.07244785949506037, 'overall_recall': 0.040293040293040296, 'overall_f1': 0.05178501373087485, 'overall_accuracy': 0.3169509947545012}
			------------EPOCH 2---------------
Loss: tensor(2505.2490, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2412.2134, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1275.0748, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(4493.2607, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2515.9871, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.10607168983174835, 'recall': 0.20655270655270655, 'f1': 0.14016433059449007, 'number': 702}, 'P': {'precision': 0.26737967914438504, 'recall': 0.053418803418803416, 'f1': 0.08904719501335707, 'number': 936}, 'overall_precision': 0.12548262548262548, 'overall_recall': 0.11904761904761904, 'overall_f1': 0.12218045112781954, 'overall_accuracy': 0.4366050753745097}
			------------EPOCH 3---------------
Loss: tensor(2042.1296, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1787.8181, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1105.3362, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(878.5880, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1371.7043, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1250.5249, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3897.3220, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2046.4055, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.18554551772063932, 'recall': 0.3803418803418803, 'f1': 0.2494161606725829, 'number': 702}, 'P': {'precision': 0.4547945205479452, 'recall': 0.17735042735042736, 'f1': 0.25518831667947733, 'number': 936}, 'overall_precision': 0.24002217294900222, 'overall_recall': 0.26434676434676435, 'overall_f1': 0.25159790819291106, 'overall_accuracy': 0.4905250224469543}
			------------EPOCH 4---------------
Loss: tensor(1680.7054, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1434.9080, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(939.5592, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(862.9720, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(703.1696, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1689.2637, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(662.0593, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1036.4491, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1686.8662, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1334.3730, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1325.2056, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1917.8091, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1890.1433, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1487.8643, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1612.5352, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1351.4147, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1675.0754, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1091.3057, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1381.4480, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1772.3376, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1851.1045, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2716.4805, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1916.3987, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(747.0938, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1105.8107, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1031.2820, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(3278.3027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1529.4003, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.19238476953907815, 'recall': 0.41025641025641024, 'f1': 0.26193724420190995, 'number': 702}, 'P': {'precision': 0.5266106442577031, 'recall': 0.20085470085470086, 'f1': 0.29079659706109817, 'number': 936}, 'overall_precision': 0.25674217907227614, 'overall_recall': 0.2905982905982906, 'overall_f1': 0.27262313860252, 'overall_accuracy': 0.4980388450451302}
			------------EPOCH 5---------------
Loss: tensor(1403.7568, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1133.3737, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(716.4695, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(708.2913, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(461.2164, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1533.7408, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(553.2933, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(746.7793, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1309.0477, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1237.7664, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1183.4816, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1590.3145, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1630.8259, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1189.1602, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1425.8788, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1223.9453, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1427.7629, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(761.0112, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1122.5215, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1730.7555, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1753.8735, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2133.5444, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1475.9080, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(610.7162, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(913.8939, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(861.7683, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2565.1006, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1169.3274, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.18231611893583724, 'recall': 0.3319088319088319, 'f1': 0.23535353535353537, 'number': 702}, 'P': {'precision': 0.4, 'recall': 0.2606837606837607, 'f1': 0.31565329883570503, 'number': 936}, 'overall_precision': 0.2526483050847458, 'overall_recall': 0.29120879120879123, 'overall_f1': 0.2705615428247306, 'overall_accuracy': 0.5259675818723123}
			------------EPOCH 6---------------
Loss: tensor(1215.9589, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(784.6343, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(605.9963, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(735.4698, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(826.2542, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1568.0422, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1113.0381, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1177.8429, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(907.6562, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1309.2444, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1089.0049, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(726.9286, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1665.5081, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2049.7451, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1485.9905, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(754.3963, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(3925.8901, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(921.8185, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.24570446735395188, 'recall': 0.4074074074074074, 'f1': 0.3065380493033226, 'number': 702}, 'P': {'precision': 0.48120300751879697, 'recall': 0.41025641025641024, 'f1': 0.4429065743944637, 'number': 936}, 'overall_precision': 0.3414882772680938, 'overall_recall': 0.409035409035409, 'overall_f1': 0.37222222222222223, 'overall_accuracy': 0.5955767685837153}
			------------EPOCH 7---------------
Loss: tensor(817.2491, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(516.5298, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(459.8472, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(398.6923, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(711.4938, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1034.2268, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1158.4392, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1375.0276, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1169.5298, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1806.4027, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1956.0198, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2898.4229, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1702.6521, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(564.7237, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(886.1026, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(2842.4424, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1103.5986, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.2849638870650033, 'recall': 0.6182336182336182, 'f1': 0.39011235955056184, 'number': 702}, 'P': {'precision': 0.49789915966386555, 'recall': 0.2532051282051282, 'f1': 0.3356940509915014, 'number': 936}, 'overall_precision': 0.3356678339169585, 'overall_recall': 0.40964590964590963, 'overall_f1': 0.36898542755017877, 'overall_accuracy': 0.5453901044374084}
			------------EPOCH 8---------------
Loss: tensor(775.4593, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(603.9894, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(458.7439, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(450.4298, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(794.4082, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1220.3165, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1084.2795, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1225.5920, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1030.4077, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1183.6543, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(922.4622, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(885.0288, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1497.3972, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1004.0434, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(2347.9473, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(775.6345, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3361144219308701, 'recall': 0.4017094017094017, 'f1': 0.3659961064243998, 'number': 702}, 'P': {'precision': 0.49304174950298213, 'recall': 0.5299145299145299, 'f1': 0.5108135942327497, 'number': 936}, 'overall_precision': 0.421680216802168, 'overall_recall': 0.47496947496947495, 'overall_f1': 0.4467413149583693, 'overall_accuracy': 0.6334530504229479}
			------------EPOCH 9---------------
Loss: tensor(571.8403, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(343.4916, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(352.8364, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(633.8963, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1448.1458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(561.6213, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.417910447761194, 'recall': 0.23931623931623933, 'f1': 0.30434782608695654, 'number': 702}, 'P': {'precision': 0.3942189421894219, 'recall': 0.6848290598290598, 'f1': 0.5003903200624512, 'number': 936}, 'overall_precision': 0.3989151873767258, 'overall_recall': 0.4938949938949939, 'overall_f1': 0.4413529732678669, 'overall_accuracy': 0.6387930627097018}
			------------EPOCH 10---------------
Loss: tensor(897.8734, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(449.5491, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(491.1992, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(2226.6172, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(516.8964, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.39226519337016574, 'recall': 0.5056980056980057, 'f1': 0.44181705040448044, 'number': 702}, 'P': {'precision': 0.5301556420233463, 'recall': 0.5822649572649573, 'f1': 0.554989816700611, 'number': 936}, 'overall_precision': 0.4655975168132437, 'overall_recall': 0.5494505494505495, 'overall_f1': 0.504060487258471, 'overall_accuracy': 0.6529228297339446}
			------------EPOCH 11---------------
Loss: tensor(288.7235, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(230.7770, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(210.6026, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(248.8056, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(217.3038, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(424.0488, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(758.0556, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(703.1404, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1402.0614, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(967.8316, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(715.2848, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1036.6824, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(497.8201, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.2879353233830846, 'recall': 0.6595441595441596, 'f1': 0.40086580086580087, 'number': 702}, 'P': {'precision': 0.5414847161572053, 'recall': 0.13247863247863248, 'f1': 0.2128755364806867, 'number': 936}, 'overall_precision': 0.3195427327163854, 'overall_recall': 0.35836385836385837, 'overall_f1': 0.33784172661870504, 'overall_accuracy': 0.5175795094749776}
			------------EPOCH 12---------------
Loss: tensor(961.5040, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(910.4520, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(414.2438, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(514.7858, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(316.3607, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(1366.7878, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(358.8646, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(515.7673, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(815.4232, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1112.7249, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(1025.2458, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(697.3035, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(655.2509, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(251.0221, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.4437869822485207, 'recall': 0.42735042735042733, 'f1': 0.43541364296081275, 'number': 702}, 'P': {'precision': 0.49842767295597484, 'recall': 0.6773504273504274, 'f1': 0.5742753623188406, 'number': 936}, 'overall_precision': 0.4794661190965092, 'overall_recall': 0.5702075702075702, 'overall_f1': 0.520914668153932, 'overall_accuracy': 0.6692736638155097}
			------------EPOCH 13---------------
Loss: tensor(224.4366, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(150.8954, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(168.1187, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(169.5534, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(191.6189, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(210.0711, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(441.1306, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(580.7395, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(530.4215, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(519.2446, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(413.8747, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(380.3646, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(392.2007, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(392.3080, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(186.4718, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(661.3331, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(153.2984, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.37104072398190047, 'recall': 0.584045584045584, 'f1': 0.45379081350304373, 'number': 702}, 'P': {'precision': 0.5620022753128555, 'recall': 0.5277777777777778, 'f1': 0.5443526170798897, 'number': 936}, 'overall_precision': 0.45564516129032256, 'overall_recall': 0.5518925518925519, 'overall_f1': 0.4991717283268912, 'overall_accuracy': 0.6452908652710174}
			------------EPOCH 14---------------
Loss: tensor(122.6459, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(129.1215, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(119.8025, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(115.0280, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(367.4185, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(163.4867, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(497.0445, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(121.7317, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.3981762917933131, 'recall': 0.5598290598290598, 'f1': 0.46536412078152756, 'number': 702}, 'P': {'precision': 0.5754824063564131, 'recall': 0.5416666666666666, 'f1': 0.558062740781508, 'number': 936}, 'overall_precision': 0.4817987152034261, 'overall_recall': 0.5494505494505495, 'overall_f1': 0.5134055904164291, 'overall_accuracy': 0.6670525967581872}
			------------EPOCH 15---------------
Loss: tensor(76.1590, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(95.6026, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.2024, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(169.1050, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(247.1519, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(419.5277, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(76.2770, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.42427745664739885, 'recall': 0.5227920227920227, 'f1': 0.4684109763880025, 'number': 702}, 'P': {'precision': 0.5589041095890411, 'recall': 0.6538461538461539, 'f1': 0.602658788774003, 'number': 936}, 'overall_precision': 0.49948979591836734, 'overall_recall': 0.5976800976800977, 'overall_f1': 0.5441912173429683, 'overall_accuracy': 0.6707149945654742}
			------------EPOCH 16---------------
Loss: tensor(58.5543, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.6542, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(54.3547, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(59.2053, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.42231491136600624, 'recall': 0.5769230769230769, 'f1': 0.48765803732691143, 'number': 702}, 'P': {'precision': 0.5700636942675159, 'recall': 0.5737179487179487, 'f1': 0.5718849840255591, 'number': 936}, 'overall_precision': 0.495528669121515, 'overall_recall': 0.575091575091575, 'overall_f1': 0.5323537722520486, 'overall_accuracy': 0.6692500354425595}
			------------EPOCH 17---------------
Loss: tensor(37.4938, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(45.8644, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(43.3740, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.42088934850051707, 'recall': 0.5797720797720798, 'f1': 0.487717195925704, 'number': 702}, 'P': {'precision': 0.5694736842105264, 'recall': 0.5779914529914529, 'f1': 0.5737009544008483, 'number': 936}, 'overall_precision': 0.4945226917057903, 'overall_recall': 0.5787545787545788, 'overall_f1': 0.5333333333333333, 'overall_accuracy': 0.6630830301025471}
			------------EPOCH 18---------------
Loss: tensor(27.0375, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(32.5376, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.8175, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(24.2245, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(104.7173, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(133.7317, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(80.1269, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(80.2555, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(84.9494, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(30.7281, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(62.8431, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(85.9515, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(34.5485, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.2501, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(114.2355, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(33.8076, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.4229934924078091, 'recall': 0.5555555555555556, 'f1': 0.480295566502463, 'number': 702}, 'P': {'precision': 0.5571847507331378, 'recall': 0.6089743589743589, 'f1': 0.5819295558958651, 'number': 936}, 'overall_precision': 0.493573264781491, 'overall_recall': 0.5860805860805861, 'overall_f1': 0.5358638012838404, 'overall_accuracy': 0.6671707386229384}
			------------EPOCH 19---------------
Loss: tensor(21.4496, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(24.3728, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(29.1201, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(18.4716, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(52.4733, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(18.1949, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(39.5984, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(82.4535, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(109.2145, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(65.4599, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(28.7017, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.430752453653217, 'recall': 0.5626780626780626, 'f1': 0.48795552810376774, 'number': 702}, 'P': {'precision': 0.5656063618290258, 'recall': 0.6079059829059829, 'f1': 0.5859938208032955, 'number': 936}, 'overall_precision': 0.50130005200208, 'overall_recall': 0.5885225885225885, 'overall_f1': 0.541420949171581, 'overall_accuracy': 0.6701242852417183}
			------------EPOCH 20---------------
Loss: tensor(16.4462, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(20.0248, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(25.1204, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(19.5831, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(31.8011, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(57.7069, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(89.8355, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(24.4875, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.42571127502634354, 'recall': 0.5754985754985755, 'f1': 0.48940036341611143, 'number': 702}, 'P': {'precision': 0.5740932642487047, 'recall': 0.5918803418803419, 'f1': 0.5828511309836928, 'number': 936}, 'overall_precision': 0.5005224660397074, 'overall_recall': 0.5848595848595849, 'overall_f1': 0.5394144144144143, 'overall_accuracy': 0.6652332120410188}
			------------EPOCH 21---------------
Loss: tensor(13.7535, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.9364, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.6320, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(53.7849, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(21.6519, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.4267515923566879, 'recall': 0.5726495726495726, 'f1': 0.48905109489051096, 'number': 702}, 'P': {'precision': 0.5699588477366255, 'recall': 0.5918803418803419, 'f1': 0.5807127882599581, 'number': 936}, 'overall_precision': 0.4994775339602926, 'overall_recall': 0.5836385836385837, 'overall_f1': 0.5382882882882882, 'overall_accuracy': 0.6673597656065403}
			------------EPOCH 22---------------
Loss: tensor(11.4129, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(13.9505, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(18.9257, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(19.4044, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.4288770053475936, 'recall': 0.5712250712250713, 'f1': 0.4899205864386072, 'number': 702}, 'P': {'precision': 0.5730223123732252, 'recall': 0.6036324786324786, 'f1': 0.5879292403746098, 'number': 936}, 'overall_precision': 0.5028630921395106, 'overall_recall': 0.5897435897435898, 'overall_f1': 0.5428491149199213, 'overall_accuracy': 0.6675015358442418}
			------------EPOCH 23---------------
Loss: tensor(9.7723, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(11.6296, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(16.9966, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(27.3171, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(37.1088, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(17.7015, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.42430703624733473, 'recall': 0.5669515669515669, 'f1': 0.4853658536585365, 'number': 702}, 'P': {'precision': 0.5698492462311557, 'recall': 0.6057692307692307, 'f1': 0.587260486794407, 'number': 936}, 'overall_precision': 0.4992240041386446, 'overall_recall': 0.5891330891330891, 'overall_f1': 0.540464855782694, 'overall_accuracy': 0.665540380889372}
			------------EPOCH 24---------------
Loss: tensor(8.4899, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(9.7880, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.5203, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.42245989304812837, 'recall': 0.5626780626780626, 'f1': 0.48259010384850337, 'number': 702}, 'P': {'precision': 0.5682730923694779, 'recall': 0.6047008547008547, 'f1': 0.5859213250517598, 'number': 936}, 'overall_precision': 0.49766960124287934, 'overall_recall': 0.5866910866910867, 'overall_f1': 0.5385261978145139, 'overall_accuracy': 0.6639809082746562}
			------------EPOCH 25---------------
Loss: tensor(7.4658, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(8.4335, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(14.3121, device='cuda:0', grad_fn=<DivBackward0>)
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Loss: tensor(6.7176, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(10.1836, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(7.9993, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(28.0540, device='cuda:0', grad_fn=<DivBackward0>)
Loss: tensor(15.4595, device='cuda:0', grad_fn=<DivBackward0>)
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				 {'C': {'precision': 0.42217484008528783, 'recall': 0.5641025641025641, 'f1': 0.48292682926829267, 'number': 702}, 'P': {'precision': 0.567703109327984, 'recall': 0.6047008547008547, 'f1': 0.5856182100362131, 'number': 936}, 'overall_precision': 0.4971576227390181, 'overall_recall': 0.5873015873015873, 'overall_f1': 0.5384830674503218, 'overall_accuracy': 0.6632484287131988}
