Finished training.
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README.md
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metrics:
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- type: accuracy
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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 [boychaboy/MNLI_roberta-base](https://huggingface.co/boychaboy/MNLI_roberta-base) 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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### Framework versions
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args: irony
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metrics:
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- type: accuracy
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value: 0.749738219895288
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name: accuracy
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---
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This model is a fine-tuned version of [boychaboy/MNLI_roberta-base](https://huggingface.co/boychaboy/MNLI_roberta-base) on the tweet_eval dataset.
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It achieves the following results on the evaluation set:
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- accuracy: 0.7497
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## Model description
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| accuracy | train_loss | epoch |
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|:--------:|:----------:|:-----:|
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| 0.5236 | None | 0 |
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| 0.6848 | 0.6722 | 0 |
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| 0.6796 | 0.6006 | 1 |
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| 0.7194 | 0.5452 | 2 |
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| 0.7319 | 0.5221 | 3 |
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| 0.7424 | 0.4951 | 4 |
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| 0.7361 | 0.4660 | 5 |
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| 0.7497 | 0.4600 | 6 |
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| 0.7497 | 0.4570 | 7 |
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### Framework versions
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adapter_model.safetensors
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