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End of training

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  1. README.md +6 -6
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.7777
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- - Accuracy: 0.5463
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  ## Model description
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@@ -50,10 +50,10 @@ 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 | 370 | 2.3187 | 0.4185 |
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- | 2.6932 | 2.0 | 740 | 1.9919 | 0.4902 |
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- | 1.99 | 3.0 | 1110 | 1.8346 | 0.5332 |
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- | 1.99 | 4.0 | 1480 | 1.7777 | 0.5463 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.7291
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+ - Accuracy: 0.5702
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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 | 375 | 2.2771 | 0.4146 |
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+ | 2.6525 | 2.0 | 750 | 1.9316 | 0.5441 |
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+ | 1.9453 | 3.0 | 1125 | 1.7770 | 0.5565 |
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+ | 1.6729 | 4.0 | 1500 | 1.7291 | 0.5702 |
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  ### Framework versions