Published January 13, 2025
| Version v0.0.16
Software
Open
michaelachmann/social-media-lab: DOI Release
Creators
Description
- Introduced a Jupyter notebook for fine-tuning BERT models on text classification tasks.
- Covers binary classification, dataset preparation, handling class imbalances, and hyperparameter tuning.
- Integrates Weights & Biases for tracking and evaluating hyperparameter sweeps.
- Includes custom trainer for class weights and LIME-based explainability.
Notes
If you use this tutorial, please cite it as below.
Files
michaelachmann/social-media-lab-v0.0.16.zip
Files
(4.5 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:2256e86e3579ab3698f25c9fbc25ae4e
|
4.5 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: https://github.com/michaelachmann/social-media-lab/tree/v0.0.16 (URL)
Software
- Repository URL
- https://github.com/michaelachmann/social-media-lab