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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: 0.2049
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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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- | 0.0979 | 1.0 | 1238 | 0.2135 |
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- | 0.0615 | 2.0 | 2476 | 0.1531 |
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- | 0.0511 | 3.0 | 3714 | 0.1724 |
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- | 0.0002 | 4.0 | 4952 | 0.2011 |
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- | 0.1339 | 5.0 | 6190 | 0.2049 |
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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: 0.2327
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.2272 | 1.0 | 1238 | 0.2106 |
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+ | 0.0014 | 2.0 | 2476 | 0.1867 |
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+ | 0.001 | 3.0 | 3714 | 0.2077 |
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+ | 0.0006 | 4.0 | 4952 | 0.2216 |
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+ | 0.136 | 5.0 | 6190 | 0.2327 |
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  ### Framework versions