--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: my_trans results: [] --- # my_trans This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.6935 ## 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: 3.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 0.6991 | 1.0 | 13178 | 0.6953 | | 0.6981 | 2.0 | 26356 | 0.6932 | | 0.6947 | 3.0 | 39534 | 0.6935 | ### Framework versions - Transformers 4.26.1 - Pytorch 1.12.1 - Datasets 2.10.0 - Tokenizers 0.13.2