--- license: apache-2.0 base_model: distilgpt2 tags: - generated_from_trainer model-index: - name: symptom-check-april-4 results: [] --- # symptom-check-april-4 This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.7701 ## 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: 64 - eval_batch_size: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 12 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.6832 | 1.0 | 760 | 1.0709 | | 1.0634 | 2.0 | 1520 | 0.9318 | | 0.9903 | 3.0 | 2280 | 0.8711 | | 0.9194 | 4.0 | 3040 | 0.8364 | | 0.8973 | 5.0 | 3800 | 0.8148 | | 0.8668 | 6.0 | 4560 | 0.8001 | | 0.8552 | 7.0 | 5320 | 0.7892 | | 0.8389 | 8.0 | 6080 | 0.7811 | | 0.8333 | 9.0 | 6840 | 0.7770 | | 0.8251 | 10.0 | 7600 | 0.7728 | | 0.8233 | 11.0 | 8360 | 0.7711 | | 0.8177 | 12.0 | 9120 | 0.7701 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2