[Feature] Support model-bound prediction postprocessor, use it in Claude #268
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Motivation
Different models have different output styles, sometimes it's hard to share a universal postprocessor across all the models, which may underestimate some outlier's performance.
Modification
This PR adds a
pred_postprocessor
parameter tomodel
's config, where users can customize postprocessors with respect to each datasets via a dataset_abbreviation -> postprocessor construction dict. The configuration from model side has the higher priority over the dataset-side.BC-breaking (Optional)
None