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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.
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- Pytorch 2.0.0+
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- Datasets 2.
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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: 3.6617
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| 4.8219 | 1.0 | 1 | 0.0871 |
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| 3.5734 | 2.0 | 2 | 0.0168 |
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| 3.2278 | 3.0 | 3 | 3.1798 |
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| 1.1492 | 4.0 | 4 | 0.4016 |
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| 0.7247 | 5.0 | 5 | 1.3638 |
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| 1.484 | 6.0 | 6 | 0.0656 |
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| 1.412 | 7.0 | 7 | 1.2833 |
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| 0.7053 | 8.0 | 8 | 2.5228 |
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### Framework versions
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- Transformers 4.29.1
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- Pytorch 2.0.0+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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