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README.md
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@@ -86,6 +86,8 @@ The following hyperparameters were used during training:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 0.365 | 1.0 | 534 | 0.3682 | 0.8396 | 0.8267 | 0.8593 | 0.8427 |
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### Training results
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As we can see, after Epoch 1.0 the Loss goes up indicating overfitting and thus the best model of Epock 1.0 (checkpoint-534) is pushed on the hub.
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 0.365 | 1.0 | 534 | 0.3682 | 0.8396 | 0.8267 | 0.8593 | 0.8427 |
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