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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| 1.1406 | 10.0 | 2910 | 1.
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| 1.0738 | 14.0 | 4074 | 1.
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### Framework versions
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- Transformers 4.
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- Pytorch 1.
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- Datasets 2.
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- Tokenizers 0.13.
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2456
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| 2.0986 | 1.0 | 291 | 1.6929 |
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| 1.6401 | 2.0 | 582 | 1.4304 |
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| 1.4881 | 3.0 | 873 | 1.3916 |
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| 1.4 | 4.0 | 1164 | 1.3796 |
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| 1.3416 | 5.0 | 1455 | 1.2012 |
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| 1.2807 | 6.0 | 1746 | 1.2733 |
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| 1.2396 | 7.0 | 2037 | 1.2646 |
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| 1.1993 | 8.0 | 2328 | 1.2098 |
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| 1.1661 | 9.0 | 2619 | 1.1862 |
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| 1.1406 | 10.0 | 2910 | 1.2223 |
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| 1.1294 | 11.0 | 3201 | 1.2056 |
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| 1.1042 | 12.0 | 3492 | 1.1655 |
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| 1.0827 | 13.0 | 3783 | 1.2525 |
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| 1.0738 | 14.0 | 4074 | 1.1685 |
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| 1.0626 | 15.0 | 4365 | 1.1182 |
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| 1.0629 | 16.0 | 4656 | 1.2456 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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