|  | --- | 
					
						
						|  | license: mit | 
					
						
						|  | base_model: EleutherAI/gpt-neo-2.7B | 
					
						
						|  | tags: | 
					
						
						|  | - generated_from_trainer | 
					
						
						|  | model-index: | 
					
						
						|  | - name: gpt-neo-2.7B_LAMA_TREx_finetuning_MAGNET_valid | 
					
						
						|  | results: [] | 
					
						
						|  | --- | 
					
						
						|  |  | 
					
						
						|  | <!-- This model card has been generated automatically according to the information the Trainer had access to. You | 
					
						
						|  | should probably proofread and complete it, then remove this comment. --> | 
					
						
						|  |  | 
					
						
						|  | # gpt-neo-2.7B_LAMA_TREx_finetuning_MAGNET_valid | 
					
						
						|  |  | 
					
						
						|  | 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 | 
					
						
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						|  |  | 
					
						
						|  | ### Framework versions | 
					
						
						|  |  | 
					
						
						|  | - Transformers 4.33.2 | 
					
						
						|  | - Pytorch 1.13.1 | 
					
						
						|  | - Datasets 2.14.5 | 
					
						
						|  | - Tokenizers 0.13.3 | 
					
						
						|  |  |