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connectivity_bert_ft_qqp-25-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: 0.643979057591623
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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 [connectivity/bert_ft_qqp-25](https://huggingface.co/connectivity/bert_ft_qqp-25) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6440
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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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  | 0.5204 | None | 0 |
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- | 0.5602 | 0.8688 | 0 |
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- | 0.5644 | 0.6749 | 1 |
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- | 0.5749 | 0.6521 | 2 |
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- | 0.5853 | 0.6348 | 3 |
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- | 0.6084 | 0.6234 | 4 |
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- | 0.6304 | 0.6085 | 5 |
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- | 0.6377 | 0.5955 | 6 |
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- | 0.6440 | 0.5918 | 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: 0.6376963350785341
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [connectivity/bert_ft_qqp-25](https://huggingface.co/connectivity/bert_ft_qqp-25) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6377
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5204 | None | 0 |
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+ | 0.5487 | 0.8728 | 0 |
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+ | 0.5581 | 0.6761 | 1 |
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+ | 0.5675 | 0.6498 | 2 |
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+ | 0.5927 | 0.6382 | 3 |
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+ | 0.5916 | 0.6238 | 4 |
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+ | 0.6126 | 0.6048 | 5 |
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+ | 0.6241 | 0.6043 | 6 |
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+ | 0.6377 | 0.5962 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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