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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: 0.0001
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  ## Model description
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@@ -45,14 +45,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 5.3574 | 1.0 | 1 | 2.0493 |
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- | 1.1306 | 2.0 | 2 | 0.0032 |
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- | 2.4487 | 3.0 | 3 | 0.3463 |
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- | 1.3105 | 4.0 | 4 | 0.1352 |
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- | 2.0474 | 5.0 | 5 | nan |
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- | 1.1318 | 6.0 | 6 | 0.0024 |
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- | 0.74 | 7.0 | 7 | 0.0170 |
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- | 2.1852 | 8.0 | 8 | 0.0031 |
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  ### Framework versions
 
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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: 0.0178
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.763 | 1.0 | 1 | 0.9977 |
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+ | 3.0541 | 2.0 | 2 | 1.9084 |
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+ | 2.3172 | 3.0 | 3 | 0.7321 |
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+ | 1.186 | 4.0 | 4 | 0.0251 |
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+ | 1.1306 | 5.0 | 5 | 7.8174 |
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+ | 1.176 | 6.0 | 6 | 1.2156 |
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+ | 1.1765 | 7.0 | 7 | 0.1448 |
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+ | 0.9389 | 8.0 | 8 | 1.0339 |
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  ### Framework versions