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Finished training.

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  1. README.md +7 -7
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  args: default
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  metrics:
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  - type: accuracy
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- value: 0.8893421052631579
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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 [moshew/bert-mini-sst2-distilled](https://huggingface.co/moshew/bert-mini-sst2-distilled) on the ag_news dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.8893
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  ## Model description
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@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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- | 0.2189 | None | 0 |
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- | 0.8813 | 0.4558 | 0 |
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- | 0.8863 | 0.3451 | 1 |
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- | 0.8891 | 0.3356 | 2 |
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- | 0.8893 | 0.3280 | 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: 0.8921052631578947
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [moshew/bert-mini-sst2-distilled](https://huggingface.co/moshew/bert-mini-sst2-distilled) on the ag_news dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.8921
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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+ | 0.2483 | None | 0 |
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+ | 0.8812 | 0.4528 | 0 |
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+ | 0.8854 | 0.3449 | 1 |
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+ | 0.8901 | 0.3341 | 2 |
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+ | 0.8921 | 0.3252 | 3 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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