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JB173_distilbert-base-uncased-finetuned-emotion-finetuned-lora-tweet_eval_irony

Text Classification
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Safetensors
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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
@@ -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: 0.6816753926701571
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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 [JB173/distilbert-base-uncased-finetuned-emotion](https://huggingface.co/JB173/distilbert-base-uncased-finetuned-emotion) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6817
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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- | 0.5330 | None | 0 |
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- | 0.6094 | 0.6971 | 0 |
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- | 0.6178 | 0.6431 | 1 |
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- | 0.6366 | 0.6124 | 2 |
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- | 0.6607 | 0.5787 | 3 |
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- | 0.6534 | 0.5575 | 4 |
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- | 0.6586 | 0.5362 | 5 |
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- | 0.6806 | 0.5225 | 6 |
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- | 0.6817 | 0.5053 | 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: 0.6764397905759162
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [JB173/distilbert-base-uncased-finetuned-emotion](https://huggingface.co/JB173/distilbert-base-uncased-finetuned-emotion) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6764
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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+ | 0.5319 | None | 0 |
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+ | 0.6126 | 0.6937 | 0 |
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+ | 0.6168 | 0.6423 | 1 |
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+ | 0.6293 | 0.6084 | 2 |
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+ | 0.6576 | 0.5796 | 3 |
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+ | 0.6492 | 0.5541 | 4 |
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+ | 0.6471 | 0.5396 | 5 |
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+ | 0.6754 | 0.5144 | 6 |
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+ | 0.6764 | 0.5086 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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