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README.md
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# bert-base-uncased-finetuned-semeval2020-task4a-e2-b32-l5e5
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on
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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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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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# bert-base-uncased-finetuned-semeval2020-task4a-e2-b32-l5e5
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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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