model-v3
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.0643
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: 0.0001372
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1268669541
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7294 | 1.0 | 39 | 3.5148 |
| 2.6148 | 2.0 | 78 | 3.5284 |
| 2.157 | 3.0 | 117 | 3.6368 |
| 2.1294 | 4.0 | 156 | 3.6644 |
| 1.9443 | 5.0 | 195 | 3.7962 |
| 1.8812 | 6.0 | 234 | 3.8349 |
| 1.6243 | 7.0 | 273 | 4.0135 |
| 1.5363 | 8.0 | 312 | 4.1426 |
| 1.3983 | 9.0 | 351 | 4.1834 |
| 1.3106 | 10.0 | 390 | 4.1304 |
| 0.9305 | 11.0 | 429 | 4.3527 |
| 1.0721 | 12.0 | 468 | 4.4012 |
| 0.8783 | 13.0 | 507 | 4.5971 |
| 0.8152 | 14.0 | 546 | 4.6419 |
| 0.6485 | 15.0 | 585 | 4.7665 |
| 0.6553 | 16.0 | 624 | 4.9744 |
| 0.5309 | 17.0 | 663 | 4.8834 |
| 0.5271 | 18.0 | 702 | 4.9749 |
| 0.4727 | 19.0 | 741 | 5.0540 |
| 0.4828 | 20.0 | 780 | 5.0643 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.2
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