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 [Anthos23/FS-distilroberta-fine-tuned](https://huggingface.co/Anthos23/FS-distilroberta-fine-tuned) 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: 0.7036649214659686
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name: accuracy
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---
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This model is a fine-tuned version of [Anthos23/FS-distilroberta-fine-tuned](https://huggingface.co/Anthos23/FS-distilroberta-fine-tuned) on the tweet_eval dataset.
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It achieves the following results on the evaluation set:
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- accuracy: 0.7037
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## Model description
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| accuracy | train_loss | epoch |
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|:--------:|:----------:|:-----:|
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| 0.4995 | None | 0 |
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| 0.6283 | 0.7070 | 0 |
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| 0.5874 | 0.6448 | 1 |
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| 0.6618 | 0.6031 | 2 |
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| 0.7068 | 0.5548 | 3 |
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| 0.7120 | 0.5368 | 4 |
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| 0.6733 | 0.5065 | 5 |
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| 0.7005 | 0.4997 | 6 |
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| 0.7037 | 0.4886 | 7 |
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### Framework versions
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adapter_model.safetensors
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