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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: 0.6848167539267016
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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/feather_berts_96](https://huggingface.co/Jeevesh8/feather_berts_96) 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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@@ -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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- | 0.4806 | None | 0 |
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- | 0.5623 | 0.6941 | 0 |
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- | 0.6 | 0.6540 | 1 |
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- | 0.6419 | 0.6145 | 2 |
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- | 0.6565 | 0.5774 | 3 |
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- | 0.6681 | 0.5558 | 4 |
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- | 0.6660 | 0.5440 | 5 |
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- | 0.6869 | 0.5292 | 6 |
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- | 0.6848 | 0.5254 | 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: 0.6743455497382199
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [Jeevesh8/feather_berts_96](https://huggingface.co/Jeevesh8/feather_berts_96) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6743
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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+ | 0.5162 | None | 0 |
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+ | 0.5707 | 0.6876 | 0 |
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+ | 0.6178 | 0.6541 | 1 |
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+ | 0.6408 | 0.6166 | 2 |
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+ | 0.6681 | 0.5880 | 3 |
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+ | 0.6670 | 0.5604 | 4 |
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+ | 0.6660 | 0.5459 | 5 |
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+ | 0.6691 | 0.5308 | 6 |
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+ | 0.6743 | 0.5190 | 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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