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README.md
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bert-base-uncased-finetuned-semeval2020-task4a
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the ComVE dataset which was part of SemEval 2020 Task 4.
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It achieves the following results on the evaluation set:
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- Loss: 0.2782
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- Accuracy: 0.9040
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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| No log | 1.0 | 344 | 0.2700 | 0.8940 |
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| 0.349 | 2.0 | 688 | 0.2782 | 0.9040 |
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### Framework versions
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- Transformers 4.12.3
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bert-base-uncased-finetuned-semeval2020-task4a
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the ComVE dataset which was part of SemEval 2020 Task 4.
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It achieves the following results on the evaluation set:
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- Loss: 0.2782
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- Accuracy: 0.9040
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### Training hyperparameters
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The following hyperparameters were used during training:
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| No log | 1.0 | 344 | 0.2700 | 0.8940 |
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| 0.349 | 2.0 | 688 | 0.2782 | 0.9040 |
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### Framework versions
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- Transformers 4.12.3
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