End of training
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README.md
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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### Framework versions
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0444
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- Accuracy: 0.4533
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.4822 | 0.1 | 5 | 1.2775 | 0.395 |
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| 1.1604 | 0.2 | 10 | 1.2589 | 0.395 |
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| 1.1784 | 0.3 | 15 | 1.1539 | 0.395 |
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| 1.1704 | 0.4 | 20 | 1.1236 | 0.3917 |
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| 1.1161 | 0.5 | 25 | 1.1705 | 0.3367 |
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| 1.1447 | 0.6 | 30 | 1.0990 | 0.395 |
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| 1.1044 | 0.7 | 35 | 1.1322 | 0.395 |
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| 1.1298 | 0.8 | 40 | 1.1031 | 0.3967 |
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| 1.0771 | 0.9 | 45 | 1.1116 | 0.44 |
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| 1.081 | 1.0 | 50 | 1.1141 | 0.38 |
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| 1.0722 | 1.1 | 55 | 1.0696 | 0.4367 |
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| 1.0786 | 1.2 | 60 | 1.0916 | 0.395 |
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| 1.0669 | 1.3 | 65 | 1.0678 | 0.4333 |
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| 1.0051 | 1.4 | 70 | 1.0759 | 0.4233 |
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| 0.9618 | 1.5 | 75 | 1.0802 | 0.4383 |
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| 1.087 | 1.6 | 80 | 1.0594 | 0.435 |
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| 0.9462 | 1.7 | 85 | 1.0558 | 0.4817 |
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| 1.052 | 1.8 | 90 | 1.0451 | 0.4717 |
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| 1.0135 | 1.9 | 95 | 1.0442 | 0.455 |
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| 1.0523 | 2.0 | 100 | 1.0444 | 0.4533 |
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### Framework versions
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