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