| license: mit | |
| base_model: gpt2 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: gpt2_model_card_distily_test | |
| 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. --> | |
| # gpt2_model_card_distily_test | |
| 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: 2480.0 | |
| ## 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: 0.0001 | |
| - train_batch_size: 1 | |
| - eval_batch_size: 2 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - num_epochs: 1.0 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:------:|:----:|:---------------:| | |
| | No log | 0 | 0 | 6944.0 | | |
| | 2707.0 | 0.2513 | 50 | 2672.0 | | |
| | 2531.5 | 0.5025 | 100 | 2528.0 | | |
| | 2324.5 | 0.7538 | 150 | 2480.0 | | |
| ### Framework versions | |
| - Transformers 4.43.3 | |
| - Pytorch 2.3.0 | |
| - Datasets 2.20.0 | |
| - Tokenizers 0.19.1 | |