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connectivity_bert_ft_qqp-94-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: 0.6534031413612565
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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-94](https://huggingface.co/connectivity/bert_ft_qqp-94) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6534
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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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- | 0.5152 | 0.9558 | 0 |
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- | 0.5141 | 0.6964 | 1 |
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- | 0.5466 | 0.6845 | 2 |
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- | 0.5948 | 0.6674 | 3 |
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- | 0.6188 | 0.6321 | 4 |
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- | 0.6220 | 0.6155 | 5 |
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- | 0.6440 | 0.6004 | 6 |
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- | 0.6534 | 0.5874 | 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: 0.6303664921465969
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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-94](https://huggingface.co/connectivity/bert_ft_qqp-94) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6304
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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 | 0.9509 | 0 |
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+ | 0.5267 | 0.7006 | 1 |
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+ | 0.5539 | 0.6894 | 2 |
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+ | 0.5686 | 0.6797 | 3 |
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+ | 0.5958 | 0.6546 | 4 |
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+ | 0.6021 | 0.6307 | 5 |
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+ | 0.6157 | 0.6177 | 6 |
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+ | 0.6304 | 0.6106 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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