Finished training.
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README.md
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args: irony
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metrics:
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name: accuracy
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---
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@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [Jeevesh8/512seq_len_6ep_bert_ft_cola-91](https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-91) on the tweet_eval dataset.
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It achieves the following results on the evaluation set:
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- accuracy: 0.
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## Model description
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| accuracy | train_loss | epoch |
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| 0.4984 | None | 0 |
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### Framework versions
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args: irony
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metrics:
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- type: accuracy
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value: 0.6198952879581152
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name: accuracy
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---
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This model is a fine-tuned version of [Jeevesh8/512seq_len_6ep_bert_ft_cola-91](https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-91) on the tweet_eval dataset.
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It achieves the following results on the evaluation set:
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- accuracy: 0.6199
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## Model description
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| accuracy | train_loss | epoch |
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|:--------:|:----------:|:-----:|
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| 0.4984 | None | 0 |
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| 0.5403 | 0.7835 | 0 |
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| 0.5665 | 0.6797 | 1 |
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| 0.5812 | 0.6599 | 2 |
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| 0.5958 | 0.6366 | 3 |
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| 0.6147 | 0.6075 | 4 |
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| 0.6199 | 0.5904 | 5 |
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| 0.6168 | 0.5783 | 6 |
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| 0.6199 | 0.5722 | 7 |
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### Framework versions
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adapter_model.safetensors
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