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README.md
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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: 3.
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps:
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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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: 3.3921
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 30414
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 4.4985 | 1.0 | 3802 | 4.3106 |
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| 4.1063 | 2.0 | 7604 | 3.9798 |
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| 3.8797 | 3.0 | 11406 | 3.7886 |
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| 3.7554 | 4.0 | 15208 | 3.6645 |
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| 3.616 | 5.0 | 19010 | 3.5792 |
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| 3.534 | 6.0 | 22812 | 3.5152 |
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| 3.4631 | 7.0 | 26614 | 3.4632 |
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| 3.3867 | 8.0 | 30416 | 3.4330 |
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| 3.2781 | 9.0 | 34218 | 3.3975 |
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| 3.2074 | 10.0 | 38020 | 3.3921 |
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### Framework versions
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