Training in progress epoch 21
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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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| 0.4424 | 0.8459 | 0.8696 | 0.9951 | 0.7712 | 0.8025 | 18 |
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| 0.3928 | 0.8599 | 0.8966 | 1.0173 | 0.7618 | 0.7931 | 19 |
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| 0.3874 | 0.8578 | 0.8922 | 1.0307 | 0.7649 | 0.7931 | 20 |
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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: 0.3822
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- Train End Logits Accuracy: 0.8588
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- Train Start Logits Accuracy: 0.8901
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- Validation Loss: 1.0272
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- Validation End Logits Accuracy: 0.7680
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- Validation Start Logits Accuracy: 0.7900
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- Epoch: 21
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## Model description
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| 0.4424 | 0.8459 | 0.8696 | 0.9951 | 0.7712 | 0.8025 | 18 |
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| 0.3928 | 0.8599 | 0.8966 | 1.0173 | 0.7618 | 0.7931 | 19 |
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| 0.3874 | 0.8578 | 0.8922 | 1.0307 | 0.7649 | 0.7931 | 20 |
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| 0.3822 | 0.8588 | 0.8901 | 1.0272 | 0.7680 | 0.7900 | 21 |
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### Framework versions
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logs/train/events.out.tfevents.1720241628.168f4cd3ffa1.187.0.v2
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logs/validation/events.out.tfevents.1720241713.168f4cd3ffa1.187.1.v2
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tf_model.h5
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