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README.md
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# gpt2lm
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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## Model description
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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# gpt2lm
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2929
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## Model description
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 2.5666 | 0.16 | 5000 | 1.8018 |
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| 1.6685 | 0.31 | 10000 | 1.5932 |
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| 1.4956 | 0.47 | 15000 | 1.4797 |
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| 1.3802 | 0.62 | 20000 | 1.3924 |
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| 1.2885 | 0.78 | 25000 | 1.3243 |
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| 1.2355 | 0.93 | 30000 | 1.2929 |
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### Framework versions
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