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End of training

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  1. README.md +7 -7
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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: 0.8093
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- - Matthews Correlation: 0.5305
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  ## Model description
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@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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- | 0.5224 | 1.0 | 535 | 0.4703 | 0.4327 |
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- | 0.3477 | 2.0 | 1070 | 0.4851 | 0.5078 |
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- | 0.2383 | 3.0 | 1605 | 0.6163 | 0.5107 |
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- | 0.1777 | 4.0 | 2140 | 0.7644 | 0.5150 |
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- | 0.1265 | 5.0 | 2675 | 0.8093 | 0.5305 |
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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: 0.8056
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+ - Matthews Correlation: 0.5350
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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+ | 0.5252 | 1.0 | 535 | 0.4806 | 0.4183 |
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+ | 0.3541 | 2.0 | 1070 | 0.4871 | 0.5176 |
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+ | 0.2457 | 3.0 | 1605 | 0.6244 | 0.4898 |
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+ | 0.1862 | 4.0 | 2140 | 0.7652 | 0.5035 |
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+ | 0.1267 | 5.0 | 2675 | 0.8056 | 0.5350 |
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  ### Framework versions