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
