Finished training.
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README.md
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args: irony
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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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@@ -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 [bert-base-cased](https://huggingface.co/bert-base-cased) 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: 0.6617801047120419
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name: accuracy
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---
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the tweet_eval dataset.
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It achieves the following results on the evaluation set:
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- accuracy: 0.6618
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## Model description
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| accuracy | train_loss | epoch |
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| 0.5225 | None | 0 |
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| 0.5812 | 0.7052 | 0 |
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| 0.5717 | 0.6681 | 1 |
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| 0.5885 | 0.6414 | 2 |
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| 0.6304 | 0.6215 | 3 |
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| 0.6471 | 0.5924 | 4 |
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| 0.6031 | 0.5768 | 5 |
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| 0.6565 | 0.5663 | 6 |
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| 0.6618 | 0.5523 | 7 |
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### Framework versions
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adapter_model.safetensors
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