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README.md
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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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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| No log | 1.0 | 2 | 0.
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| No log | 2.0 | 4 | 0.
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| No log | 3.0 | 6 | 0.
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| No log | 4.0 | 8 | 0.
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### Framework versions
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5572
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- Accuracy: 0.75
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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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| No log | 1.0 | 2 | 0.6997 | 0.4375 |
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| No log | 2.0 | 4 | 0.6973 | 0.4375 |
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| No log | 3.0 | 6 | 0.6912 | 0.5781 |
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| No log | 4.0 | 8 | 0.6876 | 0.5 |
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| 0.6783 | 5.0 | 10 | 0.6843 | 0.5312 |
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| 0.6783 | 6.0 | 12 | 0.6800 | 0.5781 |
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| 0.6783 | 7.0 | 14 | 0.6738 | 0.5938 |
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| 0.6783 | 8.0 | 16 | 0.6662 | 0.6562 |
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| 0.6783 | 9.0 | 18 | 0.6573 | 0.6562 |
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| 0.5945 | 10.0 | 20 | 0.6496 | 0.7031 |
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| 0.5945 | 11.0 | 22 | 0.6427 | 0.7188 |
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| 0.5945 | 12.0 | 24 | 0.6343 | 0.7188 |
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| 0.5945 | 13.0 | 26 | 0.6270 | 0.7031 |
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| 0.5945 | 14.0 | 28 | 0.6218 | 0.6875 |
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| 0.4805 | 15.0 | 30 | 0.6166 | 0.6875 |
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| 0.4805 | 16.0 | 32 | 0.6110 | 0.7188 |
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| 0.4805 | 17.0 | 34 | 0.6046 | 0.7344 |
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| 0.4805 | 18.0 | 36 | 0.5972 | 0.7344 |
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| 0.4805 | 19.0 | 38 | 0.5895 | 0.7344 |
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| 0.3522 | 20.0 | 40 | 0.5823 | 0.75 |
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| 0.3522 | 21.0 | 42 | 0.5767 | 0.7344 |
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| 0.3522 | 22.0 | 44 | 0.5708 | 0.7344 |
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| 0.3522 | 23.0 | 46 | 0.5667 | 0.7344 |
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| 0.3522 | 24.0 | 48 | 0.5637 | 0.7344 |
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| 0.2697 | 25.0 | 50 | 0.5616 | 0.7344 |
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| 0.2697 | 26.0 | 52 | 0.5603 | 0.7344 |
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| 0.2697 | 27.0 | 54 | 0.5592 | 0.7344 |
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| 0.2697 | 28.0 | 56 | 0.5582 | 0.75 |
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| 0.2697 | 29.0 | 58 | 0.5574 | 0.75 |
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| 0.2363 | 30.0 | 60 | 0.5572 | 0.75 |
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### Framework versions
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