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--- |
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library_name: transformers |
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license: mit |
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base_model: gpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: lyric-gpt |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# lyric-gpt |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.4268 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.4133 | 1.0 | 92 | 3.1858 | |
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| 2.8751 | 2.0 | 184 | 3.2040 | |
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| 2.9241 | 3.0 | 276 | 3.2442 | |
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| 2.8796 | 4.0 | 368 | 3.2893 | |
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| 2.5508 | 5.0 | 460 | 3.3988 | |
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| 2.3505 | 6.0 | 552 | 3.4852 | |
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| 2.1709 | 7.0 | 644 | 3.5973 | |
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| 1.9833 | 8.0 | 736 | 3.7801 | |
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| 1.9428 | 9.0 | 828 | 3.8925 | |
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| 1.6357 | 10.0 | 920 | 4.0321 | |
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| 1.6304 | 11.0 | 1012 | 4.1989 | |
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| 1.5399 | 12.0 | 1104 | 4.3302 | |
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| 1.3642 | 13.0 | 1196 | 4.4324 | |
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| 1.2646 | 14.0 | 1288 | 4.5765 | |
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| 1.0898 | 15.0 | 1380 | 4.7299 | |
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| 1.0398 | 16.0 | 1472 | 4.7749 | |
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| 0.945 | 17.0 | 1564 | 4.8901 | |
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| 0.8175 | 18.0 | 1656 | 4.9615 | |
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| 0.8893 | 19.0 | 1748 | 5.0045 | |
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| 0.8573 | 20.0 | 1840 | 5.1104 | |
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| 0.7946 | 21.0 | 1932 | 5.1732 | |
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| 0.713 | 22.0 | 2024 | 5.2327 | |
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| 0.7842 | 23.0 | 2116 | 5.2922 | |
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| 0.6976 | 24.0 | 2208 | 5.2967 | |
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| 0.6625 | 25.0 | 2300 | 5.3163 | |
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| 0.6503 | 26.0 | 2392 | 5.3695 | |
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| 0.5927 | 27.0 | 2484 | 5.3891 | |
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| 0.6025 | 28.0 | 2576 | 5.4029 | |
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| 0.6163 | 29.0 | 2668 | 5.4203 | |
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| 0.5178 | 30.0 | 2760 | 5.4268 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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