--- license: apache-2.0 library_name: peft tags: - generated_from_trainer base_model: EleutherAI/pythia-160m-v0 model-index: - name: pythia-160m-v0-finetuned-squad results: [] --- # pythia-160m-v0-finetuned-squad This model is a fine-tuned version of [EleutherAI/pythia-160m-v0](https://huggingface.co/EleutherAI/pythia-160m-v0) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 4.7825 ## 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: 0.0002 - 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: 1 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 4.7926 | 1.0 | 5539 | 4.7825 | ### Framework versions - PEFT 0.7.2.dev0 - Transformers 4.36.2 - Pytorch 2.2.1+cu121 - Datasets 2.16.1 - Tokenizers 0.15.2