--- base_model: microsoft/codebert-base tags: - Text Generation - generated_from_trainer metrics: - rouge - bleu model-index: - name: codeBert-finetuned-cXg-nl-to-code results: [] --- # codeBert-finetuned-cXg-nl-to-code This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co./microsoft/codebert-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 2.3339 - Rouge1: 0.0977 - Rouge2: 0.0077 - Rougel: 0.0739 - Bleu: 0.9948 - Meteor: 0.0958 - Codebleu: 0.1786 ## 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: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 - mixed_precision_training: Native AMP ### Training results ### Framework versions - Transformers 4.42.4 - Pytorch 2.3.1+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1