Finished training.
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README.md
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args: irony
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metrics:
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- type: accuracy
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value: 0.
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name: accuracy
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---
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@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [elozano/tweet_offensive_eval](https://huggingface.co/elozano/tweet_offensive_eval) on the tweet_eval dataset.
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It achieves the following results on the evaluation set:
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## Model description
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| accuracy | train_loss | epoch |
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| 0.5351 | 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: 0.5581151832460733
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name: accuracy
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---
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This model is a fine-tuned version of [elozano/tweet_offensive_eval](https://huggingface.co/elozano/tweet_offensive_eval) on the tweet_eval dataset.
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It achieves the following results on the evaluation set:
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- accuracy: 0.5581
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## Model description
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| accuracy | train_loss | epoch |
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|:--------:|:----------:|:-----:|
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| 0.5351 | None | 0 |
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| 0.5225 | 0.7180 | 0 |
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| 0.4901 | 0.7075 | 1 |
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| 0.5016 | 0.6973 | 2 |
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| 0.4806 | 0.6974 | 3 |
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| 0.5026 | 0.6944 | 4 |
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| 0.5382 | 0.6899 | 5 |
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| 0.5529 | 0.6818 | 6 |
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| 0.5581 | 0.6774 | 7 |
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### Framework versions
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adapter_model.safetensors
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