--- license: afl-3.0 tags: - generated_from_trainer datasets: - code_search_net model-index: - name: pycodegpt_trainer results: [] --- # pycodegpt_trainer This model is a fine-tuned version of [Daoguang/PyCodeGPT](https://huggingface.co/Daoguang/PyCodeGPT) 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: 32 - eval_batch_size: 32 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 256 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 1000 - num_epochs: 50 ### Framework versions - Transformers 4.30.2 - Pytorch 2.0.1+cu118 - Datasets 2.13.1 - Tokenizers 0.13.3