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Finished training.

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  1. README.md +11 -11
  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: 0.6963350785340314
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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/lecun_feather_berts-7](https://huggingface.co/Jeevesh8/lecun_feather_berts-7) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6963
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  ## Model description
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@@ -64,15 +64,15 @@ The following hyperparameters were used during training:
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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- | 0.4775 | None | 0 |
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- | 0.6 | 0.6891 | 0 |
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- | 0.6251 | 0.6491 | 1 |
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- | 0.6482 | 0.6111 | 2 |
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- | 0.6806 | 0.5864 | 3 |
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- | 0.6848 | 0.5660 | 4 |
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- | 0.6691 | 0.5543 | 5 |
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- | 0.6921 | 0.5350 | 6 |
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- | 0.6963 | 0.5332 | 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: 0.6848167539267016
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [Jeevesh8/lecun_feather_berts-7](https://huggingface.co/Jeevesh8/lecun_feather_berts-7) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6848
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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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+ | 0.5853 | 0.6936 | 0 |
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+ | 0.6283 | 0.6582 | 1 |
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+ | 0.6377 | 0.6303 | 2 |
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+ | 0.6670 | 0.5978 | 3 |
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+ | 0.6702 | 0.5760 | 4 |
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+ | 0.6555 | 0.5576 | 5 |
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+ | 0.6733 | 0.5497 | 6 |
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+ | 0.6848 | 0.5315 | 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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