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 [zenkri/autotrain-Arabic_Poetry_by_Subject-920730230](https://huggingface.co/zenkri/autotrain-Arabic_Poetry_by_Subject-920730230) 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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### Framework versions
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args: irony
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metrics:
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- type: accuracy
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value: 0.6628272251308901
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name: accuracy
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---
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This model is a fine-tuned version of [zenkri/autotrain-Arabic_Poetry_by_Subject-920730230](https://huggingface.co/zenkri/autotrain-Arabic_Poetry_by_Subject-920730230) on the tweet_eval dataset.
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It achieves the following results on the evaluation set:
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- accuracy: 0.6628
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## Model description
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| accuracy | train_loss | epoch |
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|:--------:|:----------:|:-----:|
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| 0.4743 | None | 0 |
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| 0.5791 | 0.6966 | 0 |
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| 0.6157 | 0.6493 | 1 |
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| 0.6272 | 0.6133 | 2 |
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| 0.6230 | 0.5932 | 3 |
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| 0.6524 | 0.5752 | 4 |
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| 0.6503 | 0.5519 | 5 |
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| 0.6576 | 0.5458 | 6 |
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| 0.6628 | 0.5285 | 7 |
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### Framework versions
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adapter_model.safetensors
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