beyondacc-chapter1-9b-adapters

Chapter 1 - 9B beyond-accuracy evaluator, LoRA adapters

LoRA adapters for Qwen3.5-9B (bf16). Each grpo_vNN was produced by SFT followed by GRPO; each sft_vNN is the SFT stage alone, i.e. the starting point of the corresponding GRPO run.

Only the final adapter of each run is uploaded. The intermediate checkpoint-150/175/200 saves stay on the training machine -- they are training trajectory, not results.

grpo_v22 and grpo_v23 differ only in SFT data (chapters 1-5, 4195 rows vs chapters 1-7, 6955 rows); same hyperparameters, reward, and GRPO step budget.

Training code: private repo pigeonai-org/BeyondAccuracyEvaluation, branch chapter1-9b-grpo-v22-v23. Evaluation results and datasets: private dataset seleixi/beyondacc-chapter1-backup.

Prompt contract differs across versions

v17-v21 were trained to emit seven aspect scores plus mean; v22 onward emit only overall, nominal_label, rationale. Feeding a v22+ adapter a v21 prompt asks it for fields it was never trained to produce. Use rewrite_eval_prompt.py from the training branch to convert an eval file.