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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: 0.625130890052356
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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/init_bert_ft_qqp-24](https://huggingface.co/Jeevesh8/init_bert_ft_qqp-24) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6251
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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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  | 0.5183 | None | 0 |
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- | 0.4942 | 0.7904 | 0 |
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- | 0.5414 | 0.6875 | 1 |
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- | 0.5812 | 0.6643 | 2 |
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- | 0.5874 | 0.6493 | 3 |
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- | 0.6042 | 0.6377 | 4 |
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- | 0.6168 | 0.6315 | 5 |
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- | 0.6188 | 0.6216 | 6 |
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- | 0.6251 | 0.6119 | 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: 0.6198952879581152
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [Jeevesh8/init_bert_ft_qqp-24](https://huggingface.co/Jeevesh8/init_bert_ft_qqp-24) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6199
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5183 | None | 0 |
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+ | 0.4984 | 0.7964 | 0 |
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+ | 0.5288 | 0.6933 | 1 |
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+ | 0.5466 | 0.6770 | 2 |
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+ | 0.5801 | 0.6594 | 3 |
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+ | 0.5916 | 0.6458 | 4 |
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+ | 0.5906 | 0.6318 | 5 |
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+ | 0.6073 | 0.6234 | 6 |
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+ | 0.6199 | 0.6201 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 160400
 
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