--- license: mit base_model: EleutherAI/gpt-neo-2.7B tags: - generated_from_trainer model-index: - name: gpt-neo-2.7B_LAMA_TREx_finetuning_MAGNET results: [] --- # gpt-neo-2.7B_LAMA_TREx_finetuning_MAGNET This model is a fine-tuned version of [EleutherAI/gpt-neo-2.7B](https://huggingface.co/EleutherAI/gpt-neo-2.7B) on an unknown 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: 2e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 0 - distributed_type: multi-GPU - num_devices: 4 - total_train_batch_size: 128 - total_eval_batch_size: 128 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3.0 ### Training results ### Framework versions - Transformers 4.33.2 - Pytorch 1.13.1 - Datasets 2.14.5 - Tokenizers 0.13.3