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Jeevesh8_bert_ft_cola-88-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: 0.6554973821989529
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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 [Jeevesh8/bert_ft_cola-88](https://huggingface.co/Jeevesh8/bert_ft_cola-88) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6555
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  ## Model description
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@@ -65,14 +65,14 @@ The following hyperparameters were used during training:
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5246 | None | 0 |
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- | 0.5518 | 0.7344 | 0 |
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- | 0.5927 | 0.6705 | 1 |
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- | 0.6094 | 0.6294 | 2 |
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- | 0.6314 | 0.5923 | 3 |
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- | 0.6230 | 0.5644 | 4 |
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- | 0.6356 | 0.5570 | 5 |
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- | 0.6440 | 0.5489 | 6 |
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- | 0.6555 | 0.5462 | 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: 0.6450261780104712
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [Jeevesh8/bert_ft_cola-88](https://huggingface.co/Jeevesh8/bert_ft_cola-88) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6450
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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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+ | 0.5560 | 0.7254 | 0 |
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+ | 0.6010 | 0.6514 | 1 |
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+ | 0.6335 | 0.6102 | 2 |
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+ | 0.6325 | 0.5766 | 3 |
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+ | 0.6366 | 0.5586 | 4 |
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+ | 0.6377 | 0.5474 | 5 |
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+ | 0.6387 | 0.5422 | 6 |
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+ | 0.6450 | 0.5296 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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