logistic-regression-iris / pytorch_model.bin

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epoch: 7, val_loss: 0.0124, accuracy: 1.0
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epoch: 6, val_loss: 0.0136, accuracy: 0.9777777777777777
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epoch: 5, val_loss: 0.0152, accuracy: 0.9777777777777777
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epoch: 4, val_loss: 0.0173, accuracy: 0.9777777777777777
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epoch: 3, val_loss: 0.02, accuracy: 0.9777777777777777
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epoch: 2, val_loss: 0.0241, accuracy: 0.9555555555555556
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epoch: 1, val_loss: 0.0302, accuracy: 0.8888888888888888
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epoch: 0, val_loss: 0.0404, accuracy: 0.4888888888888889
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