AllenAI Open Instruct Tulu 3 Post-Training with SFT, DPO, RLVR, GRPO, and Verifier-Based Evaluation

print(“\n” + “=” * 90); print(“STAGE 3 — RLVR / GRPO”); print(“=” * 90) grpo_cfg = types.SimpleNamespace(loss_fn=GRPOLossType.dapo, clip_lower=cfg.clip_lower, clip_higher=cfg.clip_higher, kl_estimator=cfg.kl_estimator) _gen_eos = getattr(getattr(model, “generation_config”, None), “eos_token_id”, None) _terms = {tok.eos_token_id, tok.pad_token_id} _terms |= set(_gen_eos) if isinstance(_gen_eos, (list, tuple)) else {_gen_eos} TERMINATORS = torch.tensor(sorted(t for t in _terms if t is not None), device=DEV) def token_logps(seq,…

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