--- library_name: transformers license: apache-2.0 base_model: softhell/results tags: - generated_from_trainer datasets: - code_search_net model-index: - name: results results: [] --- # results This model is a fine-tuned version of [softhell/results](https://huggingface.co/softhell/results) 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: 5e-05 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 8 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 7 - mixed_precision_training: Native AMP ### Training results ### Framework versions - Transformers 4.46.2 - Pytorch 2.6.0+cu118 - Datasets 3.4.1 - Tokenizers 0.20.3