| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: codet5-base-Generate_Docstrings_for_Python-Condensed | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # codet5-base-Generate_Docstrings_for_Python-Condensed | |
| This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.6199 | |
| - Rouge1: 0.5017 | |
| - Rouge2: 0.374 | |
| - Rougel: 0.4866 | |
| - Rougelsum: 0.4864 | |
| - Gen Len: 13.8909 | |
| ## 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: 2 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | |
| | 0.8261 | 1.0 | 921 | 0.6435 | 0.4947 | 0.3661 | 0.4794 | 0.4791 | 13.7526 | | |
| | 0.6234 | 2.0 | 1842 | 0.6199 | 0.5017 | 0.374 | 0.4866 | 0.4864 | 13.8909 | | |
| ### Framework versions | |
| - Transformers 4.27.4 | |
| - Pytorch 2.0.0 | |
| - Datasets 2.11.0 | |
| - Tokenizers 0.13.3 | |