- Updated test_scoring.py to include subject handling in save_class and added assertions for progress tracking.
- Modified finetune.py to introduce new command-line arguments for layer training, optimizer selection, gradient checkpointing, and maximum training steps.
- Added minerva_benchmark.py for benchmarking phoneme models on Minerva lines, including false flag detection and planted mistake scoring.
- Created minerva_dataset.py to cut reviewed Minerva lines into a training set, ensuring a proper split by video and maintaining CSV compatibility for training.
