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update model card README.md

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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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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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  |:-------------:|:-----:|:----:|:---------------:|
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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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  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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  |:-------------:|:-----:|:----:|:---------------:|
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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