| --- |
| license: apache-2.0 |
| base_model: Salesforce/codet5-small |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: training |
| results: [] |
| --- |
| |
|
|
| # training |
|
|
| This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on [a dataset created from The Technical Debt Dataset](https://huggingface.co/datasets/davidgaofc/techdebt_label). |
|
|
| # dataset citation |
| Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi. The Technical Debt Dataset. Proceedings for the 15th Conference on Predictive Models and Data Analytics in Software Engineering. Brazil. 2019. |
|
|
| ## Model description |
|
|
| Generates descriptions of git commits which have code smells which possibly signify technical debt. |
|
|
| ## Intended uses & limitations |
|
|
| Use with caution. Limited by small training set and limited variety of training set labels. Improvements in progress. |
|
|
| ## Training procedure |
| one epoch of training on the dataset referred to above |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - gradient_accumulation_steps: 100 |
| - total_train_batch_size: 100 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 1 |
| - mixed_precision_training: Native AMP |
| |
| ### Framework versions |
| |
| - Transformers 4.35.0 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.14.6 |
| - Tokenizers 0.14.1 |
| |
