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Dataset · Hugging Face

hanyuy/prior-shift-diagnostic

Prior-shift diagnostic When a derived language model (instruction-tuned, preference-tuned, or continued-pretrained) gets worse on text its base model was trained on, how much of the loss increase can a context-free correction of its logits, a token bias and/or a temperature, take back? This deposit holds the diagnostic (code/prior_shift.py), per-document results for 14 released base/derived pairs, and a CPU script (reproduce.sh) that re-runs the synthetic tests and recomputes… See the full description on the dataset page: https://huggingface.co/datasets/hanyuy/prior-shift-diagnostic.

Author / organizationhanyuy
License (as declared)cc-by-4.0
Downloads341 (as reported by Hugging Face)
Likes0
Created12 October 2026
Last updated at source12 October 2026
forgettingcalibrationpost-trainingcontinual-pretraininglanguage-models
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