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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: 0.9386842105263158
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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 [marcelcastrobr/sagemaker-distilbert-emotion](https://huggingface.co/marcelcastrobr/sagemaker-distilbert-emotion) on the ag_news dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.9387
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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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- | 0.2486 | None | 0 |
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- | 0.9236 | 0.2643 | 0 |
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- | 0.9316 | 0.2018 | 1 |
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- | 0.9371 | 0.1795 | 2 |
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- | 0.9387 | 0.1629 | 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 [marcelcastrobr/sagemaker-distilbert-emotion](https://huggingface.co/marcelcastrobr/sagemaker-distilbert-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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+ | 0.2130 | None | 0 |
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+ | 0.9246 | 0.2626 | 0 |
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+ | 0.93 | 0.2000 | 1 |
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+ | 0.9366 | 0.1770 | 2 |
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+ | 0.9397 | 0.1618 | 3 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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