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Hate-speech-CNERG_bert-base-uncased-hatexplain-rationale-two-finetuned-lora-tweet_eval_irony

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Finished training.

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  1. README.md +11 -11
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
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  args: irony
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  metrics:
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  - type: accuracy
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- value: 0.6732984293193718
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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 [Hate-speech-CNERG/bert-base-uncased-hatexplain-rationale-two](https://huggingface.co/Hate-speech-CNERG/bert-base-uncased-hatexplain-rationale-two) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6733
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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- | 0.5340 | None | 0 |
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- | 0.6136 | 0.6883 | 0 |
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- | 0.5990 | 0.6590 | 1 |
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- | 0.6178 | 0.6216 | 2 |
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- | 0.6251 | 0.5930 | 3 |
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- | 0.6408 | 0.5689 | 4 |
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- | 0.6356 | 0.5543 | 5 |
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- | 0.6691 | 0.5422 | 6 |
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- | 0.6733 | 0.5387 | 7 |
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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: 0.6513089005235602
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [Hate-speech-CNERG/bert-base-uncased-hatexplain-rationale-two](https://huggingface.co/Hate-speech-CNERG/bert-base-uncased-hatexplain-rationale-two) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6513
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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+ | 0.4932 | None | 0 |
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+ | 0.6105 | 0.6865 | 0 |
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+ | 0.5979 | 0.6589 | 1 |
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+ | 0.6136 | 0.6218 | 2 |
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+ | 0.6115 | 0.5979 | 3 |
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+ | 0.6272 | 0.5751 | 4 |
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+ | 0.6283 | 0.5581 | 5 |
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+ | 0.6366 | 0.5483 | 6 |
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+ | 0.6513 | 0.5348 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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