| tags: | |
| - trl | |
| - sft | |
| - generated_from_trainer | |
| datasets: | |
| - generator | |
| model-index: | |
| - name: transformers | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # transformers | |
| This model was trained from scratch on the generator dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.1834 | |
| ## 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: 0.0002 | |
| - train_batch_size: 48 | |
| - eval_batch_size: 12 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_steps: 20 | |
| - training_steps: 205 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:------:|:----:|:---------------:| | |
| | 0.3619 | 0.6119 | 41 | 0.3519 | | |
| | 0.217 | 1.2239 | 82 | 0.2386 | | |
| | 0.186 | 1.8358 | 123 | 0.2015 | | |
| | 0.1619 | 2.4478 | 164 | 0.1864 | | |
| | 0.1597 | 3.0597 | 205 | 0.1834 | | |
| ### Framework versions | |
| - Transformers 4.41.1 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.16.0 | |
| - Tokenizers 0.19.1 | |