| license: mit | |
| tags: | |
| - generated_from_trainer | |
| base_model: gpt2 | |
| model-index: | |
| - name: ms-8maps_alpha-ds | |
| 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. --> | |
| # ms-8maps_alpha-ds | |
| This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 5.0094 | |
| ## 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: 0.0005 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 32 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_steps: 10 | |
| - num_epochs: 1 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 5.1662 | 0.22 | 100 | 5.1086 | | |
| | 5.0824 | 0.43 | 200 | 5.0433 | | |
| | 5.0363 | 0.65 | 300 | 5.0208 | | |
| | 5.0245 | 0.87 | 400 | 5.0094 | | |
| ### Framework versions | |
| - Transformers 4.30.2 | |
| - Pytorch 2.0.1+cu117 | |
| - Datasets 2.13.1 | |
| - Tokenizers 0.13.3 | |