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usami_distilbert-base-uncased-finetuned-cola-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 +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: 0.6774869109947644
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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 [usami/distilbert-base-uncased-finetuned-cola](https://huggingface.co/usami/distilbert-base-uncased-finetuned-cola) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6775
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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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  | 0.4953 | None | 0 |
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- | 0.6021 | 0.7027 | 0 |
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- | 0.6168 | 0.6434 | 1 |
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- | 0.6555 | 0.5984 | 2 |
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- | 0.6932 | 0.5685 | 3 |
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- | 0.6597 | 0.5423 | 4 |
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- | 0.6555 | 0.5127 | 5 |
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- | 0.6733 | 0.5021 | 6 |
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- | 0.6775 | 0.4903 | 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: 0.6617801047120419
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [usami/distilbert-base-uncased-finetuned-cola](https://huggingface.co/usami/distilbert-base-uncased-finetuned-cola) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6618
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.4953 | None | 0 |
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+ | 0.6084 | 0.7034 | 0 |
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+ | 0.6063 | 0.6371 | 1 |
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+ | 0.6482 | 0.5942 | 2 |
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+ | 0.6754 | 0.5656 | 3 |
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+ | 0.6565 | 0.5347 | 4 |
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+ | 0.6366 | 0.5220 | 5 |
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+ | 0.6565 | 0.5003 | 6 |
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+ | 0.6618 | 0.4951 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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