Buckets:
rejection_sampling_v2
Rerun of the v1 baselines/rejection_sampling/ protocol at per-model optimal temperature (from this session's temperature sweep). Same two prompts (ATG + cfg.default_query GFP cassette), same 10K samples, same in-process scorer for the reward column, plus strict QC mirroring analysis2 thresholds (ORI ≥99% identity, AMR ≥100% identity, no ≥50bp direct repeats).
Generated: 2026-04-30T19:08:34.790388Z
Per-cell results
| Cell | Model | T | n | strict-QC pass rate | sha256(outputs.csv) |
|---|---|---|---|---|---|
| Base_t1 | UCL-CSSB/PlasmidGPT | 1.0 | 10000 | 5.82% | 1a326eef8578e653… |
| GRPO_t1.15 | UCL-CSSB/PlasmidGPT-GRPO | 1.15 | 10000 | 19.55% | 8a8738b1485a2043… |
| SFT_t1 | UCL-CSSB/PlasmidGPT-SFT | 1.0 | 10000 | 5.75% | fa586c04962e4552… |
v1 cross-check
All v2 outputs.csv SHAs were verified to differ from the v1
baselines/rejection_sampling/{Base,SFT,GRPO}/outputs.csv SHAs:
- Base:
363e89d716c87e8a… - SFT:
0921fb93c60b2fac… - GRPO:
404d3cb55215ad70…
Generated by scripts/launch_rejection_v2.sh.
Xet Storage Details
- Size:
- 1.09 kB
- Xet hash:
- b232552ab19b49e49a33938deaf59bf8a5c042ef174977e6f565aed389706992
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.