Standardize all huggingface uploads and wandb results logging
kind: infra
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Summary
Audit and fix HuggingFace uploads and WandB results logging in the main training/eval code to ensure everything is consistently uploaded and logged.
Motivation: Recent experiments had problems with uploads/logging not happening consistently.
Scope: Check that the main code paths (orchestrate/hub.py, orchestrate/runner.py, train_stage_sft.py, train_stage_dpo.py, scripts/train.py, scripts/eval.py) consistently:
- Upload models to HF Hub (
superkaiba1/explore-persona-space) with consistent naming - Upload eval results to WandB Artifacts
- Log metrics to WandB consistently
- Make upload/logging automatic so you don't have to think about it when writing new experiment scripts
Out of scope: Periodic eval callbacks during training (moved to #51).
Activity