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README.md
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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- Transformers 4.
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- Pytorch
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- Datasets 2.
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- Tokenizers 0.13.3
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.6423
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.7597 | 1.0 | 2334 | 3.6662 |
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| 3.6525 | 2.0 | 4668 | 3.6466 |
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| 3.6004 | 3.0 | 7002 | 3.6423 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 1.13.1+cu117
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- Datasets 2.13.0
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- Tokenizers 0.13.3
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