--- library_name: transformers license: apache-2.0 base_model: distilbert/distilgpt2 tags: - generated_from_trainer datasets: - recipe_nlg model-index: - name: distilgpt2-finetuned-recipe-nlg-generator results: [] --- # distilgpt2-finetuned-recipe-nlg-generator This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on the recipe_nlg dataset. It achieves the following results on the evaluation set: - Loss: 1.9213 ## 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: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.1178 | 1.0 | 1 | 2.0584 | | 1.9828 | 2.0 | 2 | 1.9213 | ### Framework versions - Transformers 4.44.2 - Pytorch 2.4.1+cu121 - Datasets 3.2.0 - Tokenizers 0.19.1