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sadhaklal
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mlp-iris

Tabular Classification
PyTorch
Safetensors
pytorch_model_hub_mixin
model_hub_mixin
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mlp-iris

Commit History

epoch: 32, valid_loss: 0.0786, accuracy: 1.0
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epoch: 31, valid_loss: 0.0929, accuracy: 1.0
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epoch: 30, valid_loss: 0.0933, accuracy: 1.0
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epoch: 29, valid_loss: 0.0954, accuracy: 1.0
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epoch: 28, valid_loss: 0.1008, accuracy: 1.0
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epoch: 26, valid_loss: 0.1146, accuracy: 1.0
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epoch: 25, valid_loss: 0.1252, accuracy: 1.0
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epoch: 24, valid_loss: 0.1412, accuracy: 1.0
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epoch: 23, valid_loss: 0.1452, accuracy: 1.0
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epoch: 21, valid_loss: 0.1655, accuracy: 1.0
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epoch: 20, valid_loss: 0.1754, accuracy: 1.0
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epoch: 19, valid_loss: 0.2001, accuracy: 1.0
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epoch: 18, valid_loss: 0.2288, accuracy: 0.9286
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epoch: 17, valid_loss: 0.2313, accuracy: 1.0
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epoch: 16, valid_loss: 0.251, accuracy: 1.0
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epoch: 15, valid_loss: 0.2854, accuracy: 0.9286
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epoch: 14, valid_loss: 0.3133, accuracy: 0.9286
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epoch: 13, valid_loss: 0.3284, accuracy: 0.9286
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epoch: 12, valid_loss: 0.3623, accuracy: 0.9286
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epoch: 11, valid_loss: 0.3997, accuracy: 0.9286
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epoch: 10, valid_loss: 0.4292, accuracy: 1.0
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epoch: 9, valid_loss: 0.4732, accuracy: 0.7857
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epoch: 8, valid_loss: 0.5121, accuracy: 0.7857
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epoch: 7, valid_loss: 0.5626, accuracy: 0.7857
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epoch: 6, valid_loss: 0.6033, accuracy: 0.7857
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epoch: 5, valid_loss: 0.6546, accuracy: 0.7857
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epoch: 4, valid_loss: 0.7101, accuracy: 0.7143
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epoch: 3, valid_loss: 0.7758, accuracy: 0.6429
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epoch: 2, valid_loss: 0.8608, accuracy: 0.6429
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epoch: 1, valid_loss: 0.9581, accuracy: 0.6429
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epoch: 0, valid_loss: 1.0528, accuracy: 0.6429
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initial commit
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