Milestone 2
🚀 Fine-tuning BERT for Toxic Comment Classification - Milestone v0.2
🔄 What's New in v0.2
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BERT Fine-Tuning Implementation:
- Fine-tuning BERT for Toxic Comment Classification has been implemented and optimized.
- Code resides in
replibert/replibert/finetuning.
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Experiment Results:
- Results from baseline methods and BERT fine-tuning experiments, including hyperparameter search and confidence score calculations, are documented.
- Find detailed results in
replibert/experiments.
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Baseline Adjustment:
- Random Forest baseline was dropped due to excessive computational demand, optimizing resource efficiency.
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Hyperparameter Configuration:
- The final chosen hyperparameter configuration is available in
replibert/replibert/configuration/app.yaml.
- The final chosen hyperparameter configuration is available in
📚 Documentation and Reporting
- A comprehensive milestone report is attached to this release.
- This version extends beyond the submitted version and includes an erratum addressing previous report issues.
🛠️ Improvements and Optimizations
- Enhanced code efficiency and clarity in fine-tuning workflows.
- Streamlined experiment tracking and reporting.
Thank you for following our progress on fine-tuning BERT for Toxic Comment Classification! 🎯
For detailed insights, please refer to the attached milestone report.