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IMSyPP_hate_speech_it-finetuned-lora-tweet_eval_irony

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Eval Results
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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: 0.6492146596858639
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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 [IMSyPP/hate_speech_it](https://huggingface.co/IMSyPP/hate_speech_it) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6492
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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- | 0.4848 | None | 0 |
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- | 0.5738 | 0.6968 | 0 |
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- | 0.5979 | 0.6673 | 1 |
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- | 0.6126 | 0.6428 | 2 |
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- | 0.6241 | 0.6268 | 3 |
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- | 0.6356 | 0.6084 | 4 |
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- | 0.6199 | 0.5922 | 5 |
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- | 0.6471 | 0.5818 | 6 |
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- | 0.6492 | 0.5738 | 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: 0.6471204188481675
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [IMSyPP/hate_speech_it](https://huggingface.co/IMSyPP/hate_speech_it) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6471
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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+ | 0.5246 | None | 0 |
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+ | 0.5906 | 0.6972 | 0 |
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+ | 0.5958 | 0.6696 | 1 |
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+ | 0.6126 | 0.6442 | 2 |
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+ | 0.6209 | 0.6274 | 3 |
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+ | 0.6408 | 0.6179 | 4 |
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+ | 0.6199 | 0.6010 | 5 |
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+ | 0.6408 | 0.5890 | 6 |
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+ | 0.6471 | 0.5884 | 7 |
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  ### Framework versions
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