training

This model is a fine-tuned version of Salesforce/codet5-small on a dataset created from The Technical Debt Dataset.

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
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