Rewards written#6
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added sweep info and better logging
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| sampling_params = SamplingParams(temperature=0.7, top_p=0.95) | ||
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| llm = LLM(model=config.model, tokenizer=config.tokenizer) |
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| df = pd.DataFrame(records) | ||
| id = f"{config.model}-{datetime.now().strftime('%Y%m%d%H%M%S')}" | ||
| df.to_parquet(config.storage_bucket + "infer.parquet") |
| }) | ||
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| df = pd.DataFrame(records) | ||
| id = f"{config.model}-{datetime.now().strftime('%Y%m%d%H%M%S')}" |
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Note
Introduce bioinformatics-based reward system with evaluation/sweeps, add GRPO runner updates, and wire up CI tests.
src/rewards/bioinformatics/{scorer.py,reward_config.py,logger.py}) and simplifysrc/rewards/__init__.py.src/eval/{eval.py,eval_config.py}) and helper utilities (src/utils/training_utils.py).src/rewards/{rewards.py,plasmid_informatics.py,verl_reward.py};config/{verl_ppo.yaml,verl_grpo.yaml,verl_naive_ppo.yaml,naive_grpo.yaml}).src/runners/grpo.py) to use new scorer, W&B component logging, in-run evaluation, and S3 checkpointing.src/runners/grpo_sweep.py).sweeps/with configs (configs/*.yaml), docs (README.md,SWEEPS.md), and agent wrapper (run_sweep_agent.py)..github/workflows/tests.yml).tests/**); includepytestdependency.src/config.py(datasets, checkpoints path, GRPO hyperparams, W&B defaults).docker-compose.yaml(W&B envs, addgrpo-sweepservice, setWANDB_DIR).README.mdwith tests badge; extendAGENTS.mdwith layout and sweep usage.notebooks/ray_test.ipynb).Written by Cursor Bugbot for commit 441e498. This will update automatically on new commits. Configure here.