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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 [DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-4](https://huggingface.co/DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-4) 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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- | 0.5267 | 0.7602 | 0 |
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- | 0.5895 | 0.6814 | 1 |
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- | 0.5969 | 0.6561 | 2 |
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- | 0.6052 | 0.6435 | 3 |
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- | 0.6188 | 0.6212 | 4 |
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- | 0.6230 | 0.6071 | 5 |
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- | 0.6209 | 0.5986 | 6 |
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- | 0.6387 | 0.5889 | 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: 0.6596858638743456
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-4](https://huggingface.co/DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-4) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6597
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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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+ | 0.5257 | 0.7630 | 0 |
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+ | 0.5874 | 0.6791 | 1 |
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+ | 0.6168 | 0.6517 | 2 |
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+ | 0.6325 | 0.6338 | 3 |
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+ | 0.6314 | 0.6022 | 4 |
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+ | 0.6325 | 0.5884 | 5 |
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+ | 0.6513 | 0.5749 | 6 |
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+ | 0.6597 | 0.5636 | 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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