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connectivity_bert_ft_qqp-7-finetuned-lora-tweet_eval_irony

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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: 0.669109947643979
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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-7](https://huggingface.co/connectivity/bert_ft_qqp-7) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6691
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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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  | 0.5194 | None | 0 |
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- | 0.5225 | 0.9849 | 0 |
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- | 0.5267 | 0.7032 | 1 |
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- | 0.5780 | 0.6860 | 2 |
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- | 0.6304 | 0.6603 | 3 |
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- | 0.6524 | 0.6239 | 4 |
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- | 0.6356 | 0.6038 | 5 |
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- | 0.6691 | 0.5900 | 6 |
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- | 0.6691 | 0.5812 | 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: 0.6471204188481675
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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-7](https://huggingface.co/connectivity/bert_ft_qqp-7) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6471
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5194 | None | 0 |
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+ | 0.5225 | 0.9807 | 0 |
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+ | 0.5288 | 0.7045 | 1 |
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+ | 0.5183 | 0.6919 | 2 |
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+ | 0.6031 | 0.6812 | 3 |
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+ | 0.6283 | 0.6556 | 4 |
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+ | 0.5990 | 0.6307 | 5 |
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+ | 0.6325 | 0.6121 | 6 |
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+ | 0.6471 | 0.6077 | 7 |
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  ### Framework versions
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