[bert_squeeze] - refactor: improve metrics calculation - #88
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…and f1 metrics - Adjusted the axis used in confusion matrix calculations to ensure correct metric computation. - Introduced a weighted average method for metrics to enhance clarity and maintainability of the code. - Added unit tests to validate the correctness of the metric calculations against scikit-learn implementations.
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Summary
Fixes swapped precision and recall calculations in the classification scorers.
Weighted metrics now return a single support-weighted value, and the same correction is applied to the FastBERT scorer. Added regression tests against scikit-learn.
Testing
pytest -q tests/utils/scorers/test_sequence_classification_scorer.py