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EVAL_GRPO20

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fixed26
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metadata 
pretty_name: EVAL_GRPO20
language:
  - en
tags:
  - evaluation
  - aider
  - cpp
  - fixed26

EVAL_GRPO20

This dataset contains the evaluation evidence for the Sept. 1 GRPO20 iter_0000019 checkpoint. It intentionally excludes training artifacts, checkpoint weights, training data, W&B metadata, and comparison runs.

Results

Result Pass@1 Multi turn with feedback (turn=2) Trials Samples
Sept. 1 GRPO20, iter 19 10/26 mean 14/26 mean 4 104
Pass@1 SD, range, 95% CI (out of 26) Turn-2 SD, range, 95% CI (out of 26) Conditional turn-2 recovery
1.83; 8-12; 6.25-13.75 1.15; 13-15; 9.75-18.25 16/64 (25.0%; CI 13.2-40.4%)

Trials

Trial Evaluation run ID Pass@1 Turn 2 Status
1 generalized-cpp-sept1-iter19-fixed26-20260902T103608Z-t04 11/26 15/26 complete
2 generalized-cpp-sept1-iter19-fixed26-20260902T103608Z-t01 12/26 13/26 complete
3 generalized-cpp-sept1-iter19-fixed26-20260902T103608Z-t02 8/26 15/26 complete
4 generalized-cpp-sept1-iter19-fixed26-20260902T103608Z-t03 9/26 13/26 complete

All four evaluations ran sequentially on one GCP Spot a3-highgpu-8g host with 8×H100 80 GB GPUs. Each job completed and synced its evidence before the next trial began. The host was terminated after the fourth sync.

Evaluation identity and integrity

  • Contract: fixed26-contract-v2
  • Evaluated checkpoint: iter_0000019
  • Adapter SHA-256: 0c0da7a1c3553dfda66af622c8eb5002f3d7418321cfda261414ef020353240c
  • Serving adapter SHA-256: 6a7b3247245ab652fca0dbf4e628de05e5e636c17770fcb34f5f3ffb9961d4d5
  • Evaluation-driver SHA-256: 39044988bb9a73ff62aee78fbfa1051c8c5a3b165dcb02c0b2d4c162d9f015c4
  • Aider commit: 5dc9490bb35f9729ef2c95d00a19ccd30c26339c
  • Polyglot commit: 7e0611e77b54e2dea774cdc0aa00cf9f7ed6144f
  • Runtime image: us-central1-docker.pkg.dev/lifeandhalf-24122025/w8-biayn/glm47-full-v5-unadmitted-grpo@sha256:5df1c41efb6062a292ac68a49d68ad955d9f8209c182d3fc2f7e8c634ca076a2

Every selected receipt has status=complete, terminal_tasks=26, unique_testcases=26, well_formed_tasks=26, tries=2, and verified LoRA activation on both serving shards.

Confidence intervals use 100,000 deterministic task-clustered percentile bootstrap replicates with seed 20260805. Each replicate resamples the 26 task IDs and retains all four outcomes for each sampled task. The 104 task-trial records are not treated as independent Bernoulli observations.

These are assisted regression evaluations, not a pristine held-out benchmark claim.

Contents

  • evaluations/<run-id>/run_receipt.json: aggregate receipt and per-task outcomes
  • evaluations/<run-id>/receipts/: shard and task-level evidence
  • evaluations/<run-id>/shards/: exact evaluated Fixed26 task trees
  • evaluations/<run-id>/*.log: benchmark and serving logs
  • evaluations/<run-id>/audit.md and audit.json: receipt audit
  • statistics.json and statistics.md: cohort statistics
  • per_task_success.csv: per-task frequencies across the four trials
  • compute_statistics.py: deterministic recomputation
  • EVAL_MANIFEST.json and SHA256SUMS: release inventory and checksums

No API keys, tokens, W&B data, training artifacts, model weights, or generated virtual environments are included.