Improved training and alignment validation#114
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- Calculate theta_k for train only, and reuse for val and test. - Catch edge cases max = min leading to zero div - Printing optional, off by default - Elbow method removes nans and skips leading zeros for tighter distribution. - Update default concept caption v
…ith lin or mlp pred-head
…n/prediction # Conflicts: # configs/experiment/s2bms_experiment_1.yaml # src/data/base_dataset.py
# Conflicts: # src/data/base_dataset.py
- Save mode - Save average index
Fix dynamic top-k index scores
Prediction model training changes
Load unlabelled data for alignment training
gabrieletijunaityte
approved these changes
Jun 1, 2026
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What does this PR do?
I think in short:
Before submitting
pytestcommand?