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End of training

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README.md CHANGED
@@ -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: 0.4496
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- - Matthews Correlation: 0.5334
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  ## Model description
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@@ -49,16 +49,16 @@ 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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- | 0.5194 | 1.0 | 535 | 0.4606 | 0.4292 |
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- | 0.3423 | 2.0 | 1070 | 0.4496 | 0.5334 |
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- | 0.2321 | 3.0 | 1605 | 0.6234 | 0.5127 |
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- | 0.1756 | 4.0 | 2140 | 0.7876 | 0.5195 |
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- | 0.1237 | 5.0 | 2675 | 0.8446 | 0.5328 |
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  ### Framework versions
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- - Transformers 4.38.1
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  - Pytorch 2.1.0+cu121
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- - Datasets 2.17.1
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  - Tokenizers 0.15.2
 
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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: 0.8659
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+ - Matthews Correlation: 0.5245
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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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+ | 0.5198 | 1.0 | 535 | 0.4600 | 0.4399 |
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+ | 0.3466 | 2.0 | 1070 | 0.4696 | 0.5052 |
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+ | 0.2331 | 3.0 | 1605 | 0.6709 | 0.5103 |
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+ | 0.1724 | 4.0 | 2140 | 0.8320 | 0.5155 |
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+ | 0.1287 | 5.0 | 2675 | 0.8659 | 0.5245 |
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  ### Framework versions
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+ - Transformers 4.38.2
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  - Pytorch 2.1.0+cu121
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+ - Datasets 2.18.0
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  - Tokenizers 0.15.2
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