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Finished training.

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  1. README.md +7 -7
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
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  args: default
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  metrics:
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  - type: accuracy
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- value: 0.9388157894736842
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  name: accuracy
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  ---
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@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [moghis/distilbert-base-uncased-finetuned-emotion](https://huggingface.co/moghis/distilbert-base-uncased-finetuned-emotion) on the ag_news dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.9388
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  ## Model description
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@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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- | 0.2530 | None | 0 |
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- | 0.9237 | 0.2668 | 0 |
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- | 0.9318 | 0.2013 | 1 |
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- | 0.9370 | 0.1790 | 2 |
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- | 0.9388 | 0.1617 | 3 |
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  ### Framework versions
 
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  args: default
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  metrics:
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  - type: accuracy
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+ value: 0.9397368421052632
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [moghis/distilbert-base-uncased-finetuned-emotion](https://huggingface.co/moghis/distilbert-base-uncased-finetuned-emotion) on the ag_news dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.9397
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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+ | 0.2412 | None | 0 |
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+ | 0.9262 | 0.2672 | 0 |
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+ | 0.9313 | 0.2022 | 1 |
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+ | 0.9372 | 0.1792 | 2 |
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+ | 0.9397 | 0.1623 | 3 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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