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sadhaklal
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mlp-iris

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PyTorch
Safetensors
pytorch_model_hub_mixin
model_hub_mixin
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mlp-iris / model.safetensors

Commit History

epoch: 98, valid_loss: 0.0128, accuracy: 1.0
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epoch: 97, valid_loss: 0.013, accuracy: 1.0
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epoch: 96, valid_loss: 0.0132, accuracy: 1.0
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epoch: 94, valid_loss: 0.0137, accuracy: 1.0
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epoch: 93, valid_loss: 0.0141, accuracy: 1.0
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epoch: 90, valid_loss: 0.0145, accuracy: 1.0
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epoch: 89, valid_loss: 0.015, accuracy: 1.0
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epoch: 88, valid_loss: 0.0153, accuracy: 1.0
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epoch: 87, valid_loss: 0.0155, accuracy: 1.0
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epoch: 86, valid_loss: 0.0157, accuracy: 1.0
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epoch: 85, valid_loss: 0.016, accuracy: 1.0
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epoch: 84, valid_loss: 0.0161, accuracy: 1.0
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epoch: 83, valid_loss: 0.0166, accuracy: 1.0
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epoch: 81, valid_loss: 0.017, accuracy: 1.0
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epoch: 80, valid_loss: 0.0173, accuracy: 1.0
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epoch: 79, valid_loss: 0.0178, accuracy: 1.0
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epoch: 76, valid_loss: 0.0185, accuracy: 1.0
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epoch: 75, valid_loss: 0.019, accuracy: 1.0
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epoch: 74, valid_loss: 0.0195, accuracy: 1.0
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epoch: 73, valid_loss: 0.0197, accuracy: 1.0
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epoch: 72, valid_loss: 0.0207, accuracy: 1.0
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epoch: 71, valid_loss: 0.021, accuracy: 1.0
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epoch: 70, valid_loss: 0.0218, accuracy: 1.0
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epoch: 69, valid_loss: 0.0221, accuracy: 1.0
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epoch: 67, valid_loss: 0.0233, accuracy: 1.0
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epoch: 65, valid_loss: 0.0242, accuracy: 1.0
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epoch: 63, valid_loss: 0.0251, accuracy: 1.0
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epoch: 61, valid_loss: 0.0264, accuracy: 1.0
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epoch: 60, valid_loss: 0.0274, accuracy: 1.0
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epoch: 59, valid_loss: 0.0282, accuracy: 1.0
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epoch: 58, valid_loss: 0.0287, accuracy: 1.0
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epoch: 56, valid_loss: 0.0305, accuracy: 1.0
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epoch: 55, valid_loss: 0.0312, accuracy: 1.0
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epoch: 54, valid_loss: 0.0317, accuracy: 1.0
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epoch: 53, valid_loss: 0.033, accuracy: 1.0
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epoch: 51, valid_loss: 0.0357, accuracy: 1.0
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epoch: 49, valid_loss: 0.0378, accuracy: 1.0
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epoch: 48, valid_loss: 0.0395, accuracy: 1.0
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epoch: 47, valid_loss: 0.0406, accuracy: 1.0
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epoch: 45, valid_loss: 0.0444, accuracy: 1.0
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epoch: 44, valid_loss: 0.0445, accuracy: 1.0
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epoch: 43, valid_loss: 0.0485, accuracy: 1.0
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epoch: 42, valid_loss: 0.0511, accuracy: 1.0
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epoch: 41, valid_loss: 0.0523, accuracy: 1.0
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epoch: 40, valid_loss: 0.0556, accuracy: 1.0
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epoch: 38, valid_loss: 0.0572, accuracy: 1.0
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epoch: 36, valid_loss: 0.0623, accuracy: 1.0
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epoch: 35, valid_loss: 0.066, accuracy: 1.0
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epoch: 34, valid_loss: 0.0704, accuracy: 1.0
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epoch: 33, valid_loss: 0.0738, accuracy: 1.0
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