--- license: apache-2.0 base_model: Salesforce/codet5-small tags: - generated_from_trainer metrics: - rouge model-index: - name: codet5-small-ft-v8-cpatd results: [] --- # codet5-small-ft-v8-cpatd This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.4831 - Rouge1: 63.6456 - Rouge2: 52.7919 - Rougel: 63.1978 - Rougelsum: 63.2113 - Gen Len: 17.0514 ## 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: 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: 4 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | 0.6958 | 1.0 | 3063 | 0.5815 | 61.3112 | 50.8406 | 60.8334 | 60.8509 | 17.2215 | | 0.6116 | 2.0 | 6126 | 0.5190 | 62.7088 | 51.7838 | 62.2533 | 62.2661 | 17.0108 | | 0.5564 | 3.0 | 9189 | 0.4942 | 63.4158 | 52.592 | 62.9418 | 62.9443 | 17.1236 | | 0.5447 | 4.0 | 12252 | 0.4831 | 63.6456 | 52.7919 | 63.1978 | 63.2113 | 17.0514 | ### Framework versions - Transformers 4.38.0.dev0 - Pytorch 2.1.0+cu121 - Datasets 2.16.1 - Tokenizers 0.15.0