Adjacent-window gradient-norm reduction

Read the equation

The expression computes one minus the ratio of the later window mean to the earlier window mean, then converts to percent. With the supplied means it gives about 46.52465%. This is a reduction in the selected average gradient norm, not a percentage gain in capability or a replicated effect across training runs.

Terms & definitions

How it works

Read the definition from its right-hand expression to the quantity on the left. Its surrounding source records the intended input, state, or parameter context. Where the source leaves an operation unspecified, this page preserves that gap.

Assumptions & limits

Source recovery establishes that the expression appears in this record. Its mathematical validity, implementation behavior, and interpretation must be assessed separately. See the linked source and research notes for the checks available for this version.

Original context

Evaluation loss, step 300

Appendix B. Reproduction commands and file map

With the package extracted and its listed Python dependencies available:

python code/analyze_logs.pypython -m unittest discover -s code -p 'test_*.py' -v

100\left(1-15.343834018707275/28.693284511566162\right)=46.5246510%

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