Iter #10: tensor([[9.9971e-01, 2.9412e-04]], grad_fn=<SoftmaxBackward>)
Iter #20: tensor([[0.0672, 0.9328]], grad_fn=<SoftmaxBackward>)
Iter #30: tensor([[0.9682, 0.0318]], grad_fn=<SoftmaxBackward>)
Iter #40: tensor([[9.9971e-01, 2.9169e-04]], grad_fn=<SoftmaxBackward>)
Iter #50: tensor([[0.9449, 0.0551]], grad_fn=<SoftmaxBackward>)
Iter #60: tensor([[0.9955, 0.0045]], grad_fn=<SoftmaxBackward>)
Iter #70: tensor([[0.9789, 0.0211]], grad_fn=<SoftmaxBackward>)
Iter #80: tensor([[0.0083, 0.9917]], grad_fn=<SoftmaxBackward>)
Iter #90: tensor([[0.0722, 0.9278]], grad_fn=<SoftmaxBackward>)
Iter #100: tensor([[0.0075, 0.9925]], grad_fn=<SoftmaxBackward>)
Iter #110: tensor([[0.9969, 0.0031]], grad_fn=<SoftmaxBackward>)
Iter #120: tensor([[0.9495, 0.0505]], grad_fn=<SoftmaxBackward>)
Iter #130: tensor([[0.9806, 0.0194]], grad_fn=<SoftmaxBackward>)
Iter #140: tensor([[9.9969e-01, 3.0744e-04]], grad_fn=<SoftmaxBackward>)
Iter #150: tensor([[0.0576, 0.9424]], grad_fn=<SoftmaxBackward>)
Iter #160: tensor([[9.9950e-01, 5.0429e-04]], grad_fn=<SoftmaxBackward>)
Iter #170: tensor([[0.9265, 0.0735]], grad_fn=<SoftmaxBackward>)
Iter #180: tensor([[0.9899, 0.0101]], grad_fn=<SoftmaxBackward>)
Iter #190: tensor([[0.9982, 0.0018]], grad_fn=<SoftmaxBackward>)
Iter #200: tensor([[0.9744, 0.0256]], grad_fn=<SoftmaxBackward>)
Iter #210: tensor([[0.9831, 0.0169]], grad_fn=<SoftmaxBackward>)
Iter #220: tensor([[9.9931e-01, 6.9095e-04]], grad_fn=<SoftmaxBackward>)
Iter #230: tensor([[0.0245, 0.9755]], grad_fn=<SoftmaxBackward>)
Iter #240: tensor([[0.0147, 0.9853]], grad_fn=<SoftmaxBackward>)
Iter #250: tensor([[0.0156, 0.9844]], grad_fn=<SoftmaxBackward>)
Iter #260: tensor([[0.0329, 0.9671]], grad_fn=<SoftmaxBackward>)
Iter #270: tensor([[9.9980e-01, 2.0088e-04]], grad_fn=<SoftmaxBackward>)
Iter #280: tensor([[0.9929, 0.0071]], grad_fn=<SoftmaxBackward>)
Iter #290: tensor([[0.9890, 0.0110]], grad_fn=<SoftmaxBackward>)
Iter #300: tensor([[0.0659, 0.9341]], grad_fn=<SoftmaxBackward>)
Iter #310: tensor([[0.9976, 0.0024]], grad_fn=<SoftmaxBackward>)
Iter #320: tensor([[0.0048, 0.9952]], grad_fn=<SoftmaxBackward>)
Iter #330: tensor([[0.9973, 0.0027]], grad_fn=<SoftmaxBackward>)
Iter #340: tensor([[0.4751, 0.5249]], grad_fn=<SoftmaxBackward>)
Iter #350: tensor([[0.9972, 0.0028]], grad_fn=<SoftmaxBackward>)
Iter #360: tensor([[0.9988, 0.0012]], grad_fn=<SoftmaxBackward>)
Iter #370: tensor([[0.9973, 0.0027]], grad_fn=<SoftmaxBackward>)
Iter #380: tensor([[0.1157, 0.8843]], grad_fn=<SoftmaxBackward>)
Iter #390: tensor([[0.0197, 0.9803]], grad_fn=<SoftmaxBackward>)
Iter #400: tensor([[0.0083, 0.9917]], grad_fn=<SoftmaxBackward>)
Iter #410: tensor([[0.9728, 0.0272]], grad_fn=<SoftmaxBackward>)
