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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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- 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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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 1.0 | 73 | 3.
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| No log | 2.0 | 146 | 3.
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| No log | 3.0 | 219 | 3.
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### Framework versions
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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: 3.3901
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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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- num_epochs: 15
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 73 | 3.6392 |
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| No log | 2.0 | 146 | 3.5466 |
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| No log | 3.0 | 219 | 3.5038 |
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| No log | 4.0 | 292 | 3.4761 |
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| No log | 5.0 | 365 | 3.4546 |
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| No log | 6.0 | 438 | 3.4379 |
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| 3.6024 | 7.0 | 511 | 3.4265 |
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| 3.6024 | 8.0 | 584 | 3.4160 |
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| 3.6024 | 9.0 | 657 | 3.4096 |
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| 3.6024 | 10.0 | 730 | 3.4025 |
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| 3.6024 | 11.0 | 803 | 3.3969 |
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| 3.6024 | 12.0 | 876 | 3.3933 |
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| 3.6024 | 13.0 | 949 | 3.3916 |
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| 3.4101 | 14.0 | 1022 | 3.3910 |
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| 3.4101 | 15.0 | 1095 | 3.3901 |
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### Framework versions
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