--- license: apache-2.0 library_name: peft tags: - generated_from_trainer base_model: wvangils/DistilGPT2-Beatles-Lyrics-finetuned model-index: - name: my_awesome_eli5_clm-model results: [] --- # my_awesome_eli5_clm-model This model is a fine-tuned version of [wvangils/DistilGPT2-Beatles-Lyrics-finetuned](https://huggingface.co/wvangils/DistilGPT2-Beatles-Lyrics-finetuned) on the None dataset. It achieves the following results on the evaluation set: - Loss: 2.5386 ## 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: 5e-05 - train_batch_size: 1 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 4 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 1 - training_steps: 75 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.8313 | 0.0 | 25 | 2.6909 | | 2.7343 | 0.0 | 50 | 2.5695 | | 2.6399 | 0.0 | 75 | 2.5386 | ### Framework versions - PEFT 0.8.2 - Transformers 4.38.1 - Pytorch 2.2.1+cu121 - Datasets 2.17.0 - Tokenizers 0.15.2