End of training
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README.md
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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.
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- Matthews Correlation: 0.
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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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### Framework versions
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- Transformers 4.38.
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- Pytorch 2.1.0+cu121
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- Datasets 2.
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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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model.safetensors
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