

# 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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "Salesforce/codet5-small", "model-index": [{"name": "training", "results": []}]}
transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:Salesforce/codet5-small license:apache-2.0 autotrain_compatible endpoints_compatible has_space text-generation-inference region:us