--- license: mit base_model: gpt2 tags: - generated_from_trainer datasets: - code_search_net model-index: - name: codeparrot-ds results: [] --- # codeparrot-ds This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the code_search_net 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: 0.0005 - train_batch_size: 64 - eval_batch_size: 64 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 512 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 50 - num_epochs: 1 - mixed_precision_training: Native AMP ### Framework versions - Transformers 4.36.2 - Pytorch 2.1.2+cu118 - Datasets 2.16.1 - Tokenizers 0.15.0