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result_nn_iris.py
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Net(
(fc1): Linear(in_features=4, out_features=15, bias=True)
(fc2): Linear(in_features=15, out_features=8, bias=True)
(fc3): Linear(in_features=8, out_features=3, bias=True)
)
Epoch [1/1000] Loss: 1.3341
Epoch [21/1000] Loss: 1.1195
Epoch [41/1000] Loss: 1.0590
Epoch [61/1000] Loss: 1.0327
Epoch [81/1000] Loss: 1.0196
Epoch [101/1000] Loss: 1.0088
Epoch [121/1000] Loss: 0.9975
Epoch [141/1000] Loss: 0.9847
Epoch [161/1000] Loss: 0.9701
Epoch [181/1000] Loss: 0.9530
Epoch [201/1000] Loss: 0.9326
Epoch [221/1000] Loss: 0.9079
Epoch [241/1000] Loss: 0.8780
Epoch [261/1000] Loss: 0.8418
Epoch [281/1000] Loss: 0.7991
Epoch [301/1000] Loss: 0.7550
Epoch [321/1000] Loss: 0.7190
Epoch [341/1000] Loss: 0.6921
Epoch [361/1000] Loss: 0.6715
Epoch [381/1000] Loss: 0.6548
Epoch [401/1000] Loss: 0.6406
Epoch [421/1000] Loss: 0.6283
Epoch [441/1000] Loss: 0.6174
Epoch [461/1000] Loss: 0.6075
Epoch [481/1000] Loss: 0.5982
Epoch [501/1000] Loss: 0.5892
Epoch [521/1000] Loss: 0.5805
Epoch [541/1000] Loss: 0.5718
Epoch [561/1000] Loss: 0.5631
Epoch [581/1000] Loss: 0.5543
Epoch [601/1000] Loss: 0.5455
Epoch [621/1000] Loss: 0.5367
Epoch [641/1000] Loss: 0.5278
Epoch [661/1000] Loss: 0.5190
Epoch [681/1000] Loss: 0.5104
Epoch [701/1000] Loss: 0.5019
Epoch [721/1000] Loss: 0.4935
Epoch [741/1000] Loss: 0.4855
Epoch [761/1000] Loss: 0.4777
Epoch [781/1000] Loss: 0.4701
Epoch [801/1000] Loss: 0.4626
Epoch [821/1000] Loss: 0.4553
Epoch [841/1000] Loss: 0.4481
Epoch [861/1000] Loss: 0.4410
Epoch [881/1000] Loss: 0.4338
Epoch [901/1000] Loss: 0.4266
Epoch [921/1000] Loss: 0.4192
Epoch [941/1000] Loss: 0.4117
Epoch [961/1000] Loss: 0.4040
Epoch [981/1000] Loss: 0.3961
Accuracy of the network 86 %
>>>