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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-task4b-append
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- This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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  - Loss: 0.6760
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  - Accuracy: 0.8760
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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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  The following hyperparameters were used during training:
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  | 0.0598 | 3.0 | 2064 | 0.6720 | 0.8700 |
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  | 0.0197 | 4.0 | 2752 | 0.6760 | 0.8760 |
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-
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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-task4b
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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 test set:
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  - Loss: 0.6760
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  - Accuracy: 0.8760
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  | 0.0598 | 3.0 | 2064 | 0.6720 | 0.8700 |
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  | 0.0197 | 4.0 | 2752 | 0.6760 | 0.8760 |
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  ### Framework versions
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  - Transformers 4.12.3