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README.md
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This model is a fine-tuned version of [jojoUla/bert-large-cased-sigir-support-refute-no-label-40](https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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- Transformers 4.29.
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- Pytorch 2.0.
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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This model is a fine-tuned version of [jojoUla/bert-large-cased-sigir-support-refute-no-label-40](https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0928
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| 5.5109 | 1.0 | 1 | 1.1289 |
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| 3.4678 | 2.0 | 2 | 2.0430 |
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| 1.4882 | 3.0 | 3 | 5.3938 |
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| 0.8734 | 4.0 | 4 | 0.0236 |
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| 1.2013 | 5.0 | 5 | 1.8041 |
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| 0.9168 | 6.0 | 6 | 0.5986 |
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| 0.9852 | 7.0 | 7 | 0.0386 |
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| 1.6308 | 8.0 | 8 | 4.7117 |
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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