--- license: apache-2.0 base_model: distilgpt2 tags: - generated_from_trainer model-index: - name: S1_InstructionGenerator results: [] --- # S1_InstructionGenerator 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: 0.0900 ## 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: 6 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 173 | 0.1076 | | No log | 2.0 | 346 | 0.0987 | | 0.1211 | 3.0 | 519 | 0.0946 | | 0.1211 | 4.0 | 692 | 0.0916 | | 0.1211 | 5.0 | 865 | 0.0905 | | 0.1044 | 6.0 | 1038 | 0.0900 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2