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End of training

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  1. README.md +6 -6
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@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1231
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  ## Model description
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@@ -47,11 +47,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.2106 | 1.0 | 1038 | 0.1037 |
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- | 0.0526 | 2.0 | 2076 | 0.0688 |
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- | 0.0691 | 3.0 | 3114 | 0.0716 |
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- | 0.0811 | 4.0 | 4152 | 0.0931 |
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- | 0.0001 | 5.0 | 5190 | 0.1231 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2034
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.2269 | 1.0 | 1038 | 0.2000 |
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+ | 0.0161 | 2.0 | 2076 | 0.1583 |
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+ | 0.0812 | 3.0 | 3114 | 0.1502 |
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+ | 0.2102 | 4.0 | 4152 | 0.1920 |
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+ | 0.0003 | 5.0 | 5190 | 0.2034 |
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  ### Framework versions