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sadhaklal
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logistic-regression-iris

Tabular Classification
PyTorch
Model card Files Community
logistic-regression-iris / pytorch_model.bin

Commit History

epoch: 96, val_loss: 0.0017, accuracy: 1.0
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epoch: 90, val_loss: 0.0018, accuracy: 1.0
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epoch: 84, val_loss: 0.0019, accuracy: 1.0
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epoch: 79, val_loss: 0.002, accuracy: 1.0
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epoch: 75, val_loss: 0.0021, accuracy: 1.0
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epoch: 71, val_loss: 0.0022, accuracy: 1.0
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epoch: 67, val_loss: 0.0023, accuracy: 1.0
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epoch: 64, val_loss: 0.0024, accuracy: 1.0
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epoch: 61, val_loss: 0.0025, accuracy: 1.0
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epoch: 58, val_loss: 0.0026, accuracy: 1.0
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epoch: 55, val_loss: 0.0027, accuracy: 1.0
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epoch: 53, val_loss: 0.0028, accuracy: 1.0
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epoch: 51, val_loss: 0.0029, accuracy: 1.0
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epoch: 49, val_loss: 0.003, accuracy: 1.0
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epoch: 47, val_loss: 0.0031, accuracy: 1.0
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epoch: 45, val_loss: 0.0032, accuracy: 1.0
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epoch: 43, val_loss: 0.0033, accuracy: 1.0
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epoch: 42, val_loss: 0.0034, accuracy: 1.0
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epoch: 40, val_loss: 0.0035, accuracy: 1.0
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epoch: 39, val_loss: 0.0036, accuracy: 1.0
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epoch: 38, val_loss: 0.0037, accuracy: 1.0
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epoch: 36, val_loss: 0.0038, accuracy: 1.0
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epoch: 35, val_loss: 0.0039, accuracy: 1.0
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epoch: 34, val_loss: 0.004, accuracy: 1.0
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epoch: 33, val_loss: 0.0041, accuracy: 1.0
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epoch: 32, val_loss: 0.0042, accuracy: 1.0
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epoch: 31, val_loss: 0.0043, accuracy: 1.0
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epoch: 30, val_loss: 0.0044, accuracy: 1.0
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epoch: 29, val_loss: 0.0045, accuracy: 1.0
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epoch: 28, val_loss: 0.0046, accuracy: 1.0
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epoch: 27, val_loss: 0.0048, accuracy: 1.0
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epoch: 26, val_loss: 0.0049, accuracy: 1.0
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epoch: 25, val_loss: 0.0051, accuracy: 1.0
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epoch: 24, val_loss: 0.0052, accuracy: 1.0
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epoch: 23, val_loss: 0.0054, accuracy: 1.0
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epoch: 22, val_loss: 0.0056, accuracy: 1.0
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epoch: 21, val_loss: 0.0058, accuracy: 1.0
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epoch: 20, val_loss: 0.006, accuracy: 1.0
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epoch: 19, val_loss: 0.0062, accuracy: 1.0
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epoch: 18, val_loss: 0.0065, accuracy: 1.0
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epoch: 17, val_loss: 0.0067, accuracy: 1.0
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epoch: 16, val_loss: 0.0071, accuracy: 1.0
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epoch: 15, val_loss: 0.0074, accuracy: 1.0
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epoch: 14, val_loss: 0.0078, accuracy: 1.0
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epoch: 13, val_loss: 0.0082, accuracy: 1.0
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epoch: 12, val_loss: 0.0087, accuracy: 1.0
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epoch: 11, val_loss: 0.0092, accuracy: 1.0
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epoch: 10, val_loss: 0.0098, accuracy: 1.0
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epoch: 9, val_loss: 0.0105, accuracy: 1.0
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epoch: 8, val_loss: 0.0114, accuracy: 1.0
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