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Jeevesh8_bert_ft_qqp-39-finetuned-lora-tweet_eval_irony

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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
@@ -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: 0.6387434554973822
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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_qqp-39](https://huggingface.co/Jeevesh8/bert_ft_qqp-39) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6387
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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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  | 0.5225 | None | 0 |
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- | 0.5686 | 0.8711 | 0 |
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- | 0.5832 | 0.6858 | 1 |
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- | 0.5759 | 0.6550 | 2 |
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- | 0.6052 | 0.6229 | 3 |
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- | 0.6147 | 0.6036 | 4 |
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- | 0.6042 | 0.5830 | 5 |
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- | 0.6335 | 0.5760 | 6 |
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- | 0.6387 | 0.5681 | 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: 0.6282722513089005
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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_qqp-39](https://huggingface.co/Jeevesh8/bert_ft_qqp-39) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6283
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5225 | None | 0 |
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+ | 0.5707 | 0.8689 | 0 |
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+ | 0.5518 | 0.6801 | 1 |
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+ | 0.5696 | 0.6507 | 2 |
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+ | 0.5937 | 0.6308 | 3 |
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+ | 0.6073 | 0.6114 | 4 |
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+ | 0.5958 | 0.5907 | 5 |
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+ | 0.6230 | 0.5773 | 6 |
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+ | 0.6283 | 0.5678 | 7 |
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  ### Framework versions
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