--- license: apache-2.0 base_model: distilgpt2 tags: - generated_from_trainer model-index: - name: my_finetuned_gpt2_model results: [] --- # my_finetuned_gpt2_model This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the r/askscience dataset. It achieves the following results on the evaluation set: - Loss: 3.7705 ## 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: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 3.8282 | 1.0 | 1126 | 3.7705 | ### Framework versions - Transformers 4.32.1 - Pytorch 2.0.1+cu118 - Datasets 2.14.4 - Tokenizers 0.13.3