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elozano_tweet_offensive_eval-finetuned-lora-tweet_eval_irony

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Finished training.

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  1. README.md +10 -10
  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: 0.5696335078534032
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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 [elozano/tweet_offensive_eval](https://huggingface.co/elozano/tweet_offensive_eval) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.5696
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  ## Model description
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@@ -66,14 +66,14 @@ The following hyperparameters were used during training:
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5351 | None | 0 |
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- | 0.5225 | 0.7159 | 0 |
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- | 0.4963 | 0.7093 | 1 |
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- | 0.4775 | 0.6958 | 2 |
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- | 0.4796 | 0.6965 | 3 |
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- | 0.5445 | 0.6914 | 4 |
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- | 0.5497 | 0.6834 | 5 |
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- | 0.5623 | 0.6688 | 6 |
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- | 0.5696 | 0.6643 | 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: 0.5581151832460733
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [elozano/tweet_offensive_eval](https://huggingface.co/elozano/tweet_offensive_eval) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.5581
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5351 | None | 0 |
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+ | 0.5225 | 0.7180 | 0 |
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+ | 0.4901 | 0.7075 | 1 |
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+ | 0.5016 | 0.6973 | 2 |
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+ | 0.4806 | 0.6974 | 3 |
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+ | 0.5026 | 0.6944 | 4 |
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+ | 0.5382 | 0.6899 | 5 |
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+ | 0.5529 | 0.6818 | 6 |
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+ | 0.5581 | 0.6774 | 7 |
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  ### Framework versions
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