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End of training

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  1. README.md +7 -7
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1157
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- - Accuracy: 0.9550
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  ## Model description
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@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.3975 | 0.99 | 52 | 0.3617 | 0.8437 |
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- | 0.2538 | 2.0 | 105 | 0.4916 | 0.8365 |
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- | 0.2066 | 2.99 | 157 | 0.2139 | 0.9177 |
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- | 0.1819 | 4.0 | 210 | 0.1342 | 0.9523 |
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- | 0.1135 | 4.95 | 260 | 0.1198 | 0.9547 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1262
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+ - Accuracy: 0.9522
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.4174 | 0.99 | 52 | 0.3565 | 0.8496 |
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+ | 0.2598 | 2.0 | 105 | 0.2537 | 0.8986 |
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+ | 0.1915 | 2.99 | 157 | 0.2482 | 0.9021 |
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+ | 0.1696 | 4.0 | 210 | 0.1265 | 0.9558 |
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+ | 0.1244 | 4.95 | 260 | 0.1234 | 0.9547 |
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  ### Framework versions
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