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 [Giyaseddin/distilroberta-base-finetuned-short-answer-assessment](https://huggingface.co/Giyaseddin/distilroberta-base-finetuned-short-answer-assessment) 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: 0.7015706806282722
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name: accuracy
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---
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This model is a fine-tuned version of [Giyaseddin/distilroberta-base-finetuned-short-answer-assessment](https://huggingface.co/Giyaseddin/distilroberta-base-finetuned-short-answer-assessment) on the tweet_eval dataset.
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It achieves the following results on the evaluation set:
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- accuracy: 0.7016
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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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| 0.6188 | 0.7149 | 0 |
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| 0.6262 | 0.6574 | 1 |
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| 0.6660 | 0.6179 | 2 |
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| 0.6932 | 0.5705 | 3 |
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| 0.6859 | 0.5397 | 4 |
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| 0.6796 | 0.5244 | 5 |
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| 0.6953 | 0.5155 | 6 |
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| 0.7016 | 0.4939 | 7 |
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### Framework versions
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adapter_model.safetensors
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