--- tags: - generated_from_trainer model-index: - name: out results: [] datasets: - roneneldan/TinyStories pipeline_tag: text-generation --- # TinyStories-GPT2-3M This model is a tiny (3M trainable parameters) GPT-2 model pre-trained for 3 epochs on the [TinyStories](https://huggingface.co/datasets/roneneldan/TinyStories) V2 dataset. ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure Trained for 400k steps (~7 hours) on 2xH100 80GB PCIe with 32vCPU and 500GB RAM on Runpod. ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-05 - 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: 3.0 ### Training results ### Framework versions - Transformers 4.35.0.dev0 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.14.1