--- license: apache-2.0 tags: - generated_from_trainer base_model: distilgpt2 model-index: - name: distilgpt2-music-search results: [] --- # distilgpt2-music-search 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: 4.6516 ## 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 | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 256 | 4.6572 | | 5.0184 | 2.0 | 512 | 4.6461 | | 5.0184 | 3.0 | 768 | 4.6516 | ### Framework versions - Transformers 4.17.0 - Pytorch 1.7.1 - Datasets 2.0.0 - Tokenizers 0.11.6