metadata
base_model: huggingface/CodeBERTa-small-v1
tags:
- generated_from_trainer
model-index:
- name: training
results: []
training
This model is a fine-tuned version of huggingface/CodeBERTa-small-v1 on an my own techdebt dataset.
Model description
Classifies cleaned diffs of code.
- 1: exhibits possible technical debt
- 0: is probably clean
Intended uses & limitations
Limited by many things probably, use with caution. Improvements in progress.
Training and evaluation data
~95% accurate on the test split of dataset above ~.94 F1 score on test split of dataset above.
Training procedure
One epoch of training done on the dataset above.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 30
- eval_batch_size: 30
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1