--- library_name: transformers tags: - generated_from_trainer model-index: - name: 1_4_GPTNeoX-160m-minipile-2048-fa2 results: [] --- # 1_4_GPTNeoX-160m-minipile-2048-fa2 This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 3.0148 ## 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: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - training_steps: 1000 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.976 | 1.0 | 500 | 3.0129 | | 2.8634 | 2.0 | 1000 | 3.0148 | ### Framework versions - Transformers 4.57.1 - Pytorch 2.5.1+cu121 - Datasets 3.0.1 - Tokenizers 0.22.1