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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@@ -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 [vesteinn/XLMR-ENIS-finetuned-cola](https://huggingface.co/vesteinn/XLMR-ENIS-finetuned-cola) 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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| 0.5424 | 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: 0.6356020942408377
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name: accuracy
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---
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This model is a fine-tuned version of [vesteinn/XLMR-ENIS-finetuned-cola](https://huggingface.co/vesteinn/XLMR-ENIS-finetuned-cola) on the tweet_eval dataset.
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It achieves the following results on the evaluation set:
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- accuracy: 0.6356
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## Model description
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| accuracy | train_loss | epoch |
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|:--------:|:----------:|:-----:|
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| 0.5424 | None | 0 |
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| 0.5937 | 0.7188 | 0 |
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| 0.6094 | 0.6681 | 1 |
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| 0.6188 | 0.6478 | 2 |
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| 0.6241 | 0.6245 | 3 |
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| 0.6325 | 0.6100 | 4 |
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| 0.6105 | 0.5948 | 5 |
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| 0.6366 | 0.5749 | 6 |
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| 0.6356 | 0.5747 | 7 |
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### Framework versions
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adapter_model.safetensors
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