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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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- Transformers 4.
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- Pytorch 2.
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8609
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- Accuracy: 0.5706
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 2.013 | 1.0 | 2190 | 1.9610 | 0.5562 |
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| 1.7891 | 2.0 | 4380 | 1.8609 | 0.5706 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 2.1.0.dev20230319
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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