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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: 0.
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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 4.29.2
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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: 0.3032
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| 5.4901 | 1.0 | 1 | 0.7457 |
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| 1.7667 | 2.0 | 2 | 0.6596 |
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| 1.5764 | 3.0 | 3 | 1.2484 |
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| 0.9003 | 4.0 | 4 | 0.5758 |
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| 1.32 | 5.0 | 5 | 0.0032 |
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| 0.5771 | 6.0 | 6 | 0.2338 |
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| 2.0704 | 7.0 | 7 | 0.0155 |
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| 1.0185 | 8.0 | 8 | 0.0773 |
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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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