taylor-swift-model-paragraphs
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3564
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: 2e-05
- 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: 25
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9316 | 1.0 | 59 | 3.8227 |
| 3.824 | 2.0 | 118 | 3.7301 |
| 3.5808 | 3.0 | 177 | 3.6658 |
| 3.625 | 4.0 | 236 | 3.6205 |
| 3.643 | 5.0 | 295 | 3.5862 |
| 3.5443 | 6.0 | 354 | 3.5545 |
| 3.4535 | 7.0 | 413 | 3.5274 |
| 3.398 | 8.0 | 472 | 3.5072 |
| 3.3253 | 9.0 | 531 | 3.4833 |
| 3.4111 | 10.0 | 590 | 3.4688 |
| 3.3461 | 11.0 | 649 | 3.4503 |
| 3.3133 | 12.0 | 708 | 3.4373 |
| 3.3921 | 13.0 | 767 | 3.4246 |
| 3.2661 | 14.0 | 826 | 3.4102 |
| 3.2257 | 15.0 | 885 | 3.4052 |
| 3.1837 | 16.0 | 944 | 3.3911 |
| 3.1935 | 17.0 | 1003 | 3.3849 |
| 2.9369 | 18.0 | 1062 | 3.3774 |
| 3.2486 | 19.0 | 1121 | 3.3721 |
| 3.1542 | 20.0 | 1180 | 3.3681 |
| 3.0771 | 21.0 | 1239 | 3.3624 |
| 3.1206 | 22.0 | 1298 | 3.3581 |
| 3.0358 | 23.0 | 1357 | 3.3585 |
| 2.9207 | 24.0 | 1416 | 3.3568 |
| 3.0496 | 25.0 | 1475 | 3.3564 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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