| --- |
| license: mit |
| base_model: gpt2 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: lyric-gpt |
| results: [] |
| datasets: |
| - brunokreiner/genius-lyrics |
| pipeline_tag: text-generation |
| --- |
| |
| # lyric-gpt |
|
|
| This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 5.4526 |
|
|
| ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 30 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 3.5327 | 1.0 | 92 | 3.1885 | |
| | 2.8988 | 2.0 | 184 | 3.1986 | |
| | 3.0192 | 3.0 | 276 | 3.2477 | |
| | 2.5232 | 4.0 | 368 | 3.3318 | |
| | 2.3098 | 5.0 | 460 | 3.3899 | |
| | 2.1412 | 6.0 | 552 | 3.5328 | |
| | 2.3526 | 7.0 | 644 | 3.6322 | |
| | 2.06 | 8.0 | 736 | 3.7834 | |
| | 1.9477 | 9.0 | 828 | 3.8887 | |
| | 1.6156 | 10.0 | 920 | 4.0527 | |
| | 1.5496 | 11.0 | 1012 | 4.2364 | |
| | 1.5933 | 12.0 | 1104 | 4.3163 | |
| | 1.3698 | 13.0 | 1196 | 4.4754 | |
| | 1.308 | 14.0 | 1288 | 4.5911 | |
| | 1.1803 | 15.0 | 1380 | 4.6902 | |
| | 1.0212 | 16.0 | 1472 | 4.7977 | |
| | 0.9838 | 17.0 | 1564 | 4.9419 | |
| | 1.0065 | 18.0 | 1656 | 4.9470 | |
| | 0.8158 | 19.0 | 1748 | 5.0347 | |
| | 0.8352 | 20.0 | 1840 | 5.1256 | |
| | 0.8759 | 21.0 | 1932 | 5.1902 | |
| | 0.7176 | 22.0 | 2024 | 5.2542 | |
| | 0.7457 | 23.0 | 2116 | 5.2947 | |
| | 0.6683 | 24.0 | 2208 | 5.3511 | |
| | 0.6095 | 25.0 | 2300 | 5.3680 | |
| | 0.6247 | 26.0 | 2392 | 5.3916 | |
| | 0.5827 | 27.0 | 2484 | 5.4273 | |
| | 0.5742 | 28.0 | 2576 | 5.4394 | |
| | 0.5334 | 29.0 | 2668 | 5.4477 | |
| | 0.6028 | 30.0 | 2760 | 5.4526 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.34.1 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.14.6 |
| - Tokenizers 0.14.1 |
