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Model save

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  1. README.md +4 -4
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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8574
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- - Accuracy: 0.7882
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  ## Model description
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@@ -49,8 +49,8 @@ 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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- | No log | 1.0 | 22 | 0.9656 | 0.6588 |
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- | No log | 2.0 | 44 | 0.8574 | 0.7882 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9449
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+ - Accuracy: 0.6078
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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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+ | No log | 1.0 | 13 | 0.9961 | 0.6275 |
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+ | No log | 2.0 | 26 | 0.9449 | 0.6078 |
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  ### Framework versions