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ci: add minimal GitHub Actions workflow (test only)
CI
#1:
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8dd09a9
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fix: cache old_log_probs for real PPO signal + tune hyperparams
Tests
#34:
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d84c7f1
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fix: GPU memory leak — model.cpu() before del to free VRAM
Tests
#33:
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6b84996
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feat: GRPO v2 — 7-module LoRA (43M params), re-mining, lower LR
Tests
#32:
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3117b32
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fix: per-sample backward + deferred model load for OOM-free GRPO
Tests
#31:
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c15c8c7
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config: eval_every=50, save_every=100, mine full 7000 questions
Tests
#30:
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c158631
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main
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feat: GRPO hard example mining + OOM fixes + single model
Tests
#29:
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48897b2
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main
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fix: use Schulman's unbiased KL estimator (always >= 0)
Tests
#28:
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3dcb115
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fix: sft_train.py eval + cleanup
Tests
#27:
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ac246e0
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fix: GRPO robustness — device_map, vLLM validation, monitoring metrics
Tests
#26:
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68e5617
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feat: add vLLM batch generation for GRPO (Option B)
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#25:
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9fdc195
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GRPO: subsample eval to 200 questions for faster training
Tests
#24:
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GRPO: batch log_probs for ~5x speedup, reduce to 500 steps
Tests
#23:
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6f99133
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Align GRPO LoRA defaults with STaR/SFT config
Tests
#22:
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ec6b9b7
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Fix fallback values and misleading comment
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#21:
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fcd225e
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Tune STaR hyperparameters: canonical SQL selection, LoRA 16, 2 epochs
Tests
#20:
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8083ac0
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GRPO: batched generation, binary reward, full dev eval
Tests
#19:
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e43c65f
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Add eval_steps and switch to non-cumulative SFT data
Tests
#18:
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4d5327c
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main
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Update LoRA rank to 32 for STaR and GRPO
Tests
#17:
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d74815a
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main
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Fix eval to only count exact match (reward >= 1.0)
Tests
#16:
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e5ca4f2
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Fix CLI default --kl_coef to match config (0.01 → 0.001)
Tests
#15:
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34667b8
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Tune GRPO hyperparameters for H200 run
Tests
#14:
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d7a3abb
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15s
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Upgrade GRPO to v3 + tune hyperparameters for H200 run
Tests
#13:
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db7bca8
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Fix bugs from code reviews #3 and #4
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#12:
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b5386ec
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Improve robustness and code quality
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#11:
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90719c7
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