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arianpasquali_distilbert-base-multilingual-cased-toxicity-finetuned-lora-tweet_eval_irony

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Eval Results
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Finished training.

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  1. README.md +10 -10
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  args: irony
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  metrics:
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  - type: accuracy
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- value: 0.6356020942408377
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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 [arianpasquali/distilbert-base-multilingual-cased-toxicity](https://huggingface.co/arianpasquali/distilbert-base-multilingual-cased-toxicity) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6356
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.4775 | None | 0 |
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- | 0.5728 | 0.7461 | 0 |
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- | 0.5602 | 0.6640 | 1 |
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- | 0.6073 | 0.6319 | 2 |
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- | 0.6230 | 0.6095 | 3 |
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- | 0.6188 | 0.5916 | 4 |
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- | 0.6262 | 0.5683 | 5 |
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- | 0.6356 | 0.5519 | 6 |
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- | 0.6356 | 0.5469 | 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: 0.6345549738219896
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [arianpasquali/distilbert-base-multilingual-cased-toxicity](https://huggingface.co/arianpasquali/distilbert-base-multilingual-cased-toxicity) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6346
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.4775 | None | 0 |
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+ | 0.5738 | 0.7460 | 0 |
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+ | 0.5623 | 0.6651 | 1 |
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+ | 0.6073 | 0.6340 | 2 |
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+ | 0.6272 | 0.6111 | 3 |
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+ | 0.6272 | 0.5940 | 4 |
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+ | 0.6241 | 0.5732 | 5 |
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+ | 0.6356 | 0.5584 | 6 |
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+ | 0.6346 | 0.5519 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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