--- license: mit base_model: EleutherAI/gpt-neo-125m tags: - trl - sft - generated_from_trainer model-index: - name: neox_125m_storytelling results: [] --- # neox_125m_storytelling This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) on the None dataset. ## 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: 4e-05 - train_batch_size: 1 - eval_batch_size: 8 - seed: 8675309 - distributed_type: multi-GPU - num_devices: 7 - gradient_accumulation_steps: 4 - total_train_batch_size: 28 - total_eval_batch_size: 56 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 5 - num_epochs: 1 ### Training results ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.1+cu121 - Datasets 2.19.2 - Tokenizers 0.19.1