Training in progress epoch 4
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README.md
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.
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- Train End Logits Accuracy: 0.
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- Train Start Logits Accuracy: 0.
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- Validation Loss: 1.
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- Validation End Logits Accuracy: 0.
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- Validation Start Logits Accuracy: 0.
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- Epoch:
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## Model description
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| 1.1526 | 0.6261 | 0.6397 | 1.0597 | 0.6677 | 0.7429 | 1 |
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| 0.7612 | 0.7269 | 0.7647 | 1.0245 | 0.7210 | 0.7806 | 2 |
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| 0.5528 | 0.7836 | 0.8319 | 1.2436 | 0.7116 | 0.7712 | 3 |
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### Framework versions
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.4667
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- Train End Logits Accuracy: 0.8340
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- Train Start Logits Accuracy: 0.8435
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- Validation Loss: 1.0705
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- Validation End Logits Accuracy: 0.7524
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- Validation Start Logits Accuracy: 0.7555
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- Epoch: 4
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## Model description
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| 1.1526 | 0.6261 | 0.6397 | 1.0597 | 0.6677 | 0.7429 | 1 |
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| 0.7612 | 0.7269 | 0.7647 | 1.0245 | 0.7210 | 0.7806 | 2 |
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| 0.5528 | 0.7836 | 0.8319 | 1.2436 | 0.7116 | 0.7712 | 3 |
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| 0.4667 | 0.8340 | 0.8435 | 1.0705 | 0.7524 | 0.7555 | 4 |
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### Framework versions
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logs/train/events.out.tfevents.1720282996.c0123902ebad.1520.0.v2
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tf_model.h5
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