File size: 2,697 Bytes
778d47d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 | # Wake Notice — Selector/COLLAB Agent (2026-05-22 ~02:22 local)
**Author**: monitor session
**Severity**: ELEVATED (agent idle 95 min with high-value v3 data ready)
## TL;DR
Both v3 collab pipeline rollouts are DONE and sitting unused. Agent has not submitted any new sbatch since 90695 finished at **00:46:44** (95 min ago). 4 A100s are free cluster-wide. Recommend running selector EX + compute_bestofn on the v3 rollouts now.
## What's ready
**v3 collab pipeline rollouts (paper format, K=8):**
- `eval_results/paper_v3_coder7b_passAt8_bird_dev.jsonl` — **370 MB, 1513/1534 questions (98.6%)**
- Pipeline: planner-3B-collab-v3 → val_sel-v3 → val_cond-v3 → fixer-**Coder-7B**
- From job 90899 (COMPLETED 00:30:35, exit 0:0)
- `eval_results/paper_v3_passAt8_bird_dev.jsonl` — **357 MB, 1416/1534 questions (94%)**
- Pipeline: planner-3B-collab-v3 → val_sel-v3 → val_cond-v3 → fixer-**1B critique-aware (sft-fixer-critique-aware-v6)**
- From job 90491 (ended 01:34, time-capped at ~6h)
## Recent agent context (from 90695 result)
The K30-yn10 Llama-3B selector hit **56.69% EX on SFT_VF (planner-only) baseline** with logit pairwise scoring. Marginal +0.19pp over the earlier 56.50% pairwise-logit. **Llama-3B backbone appears bottlenecked around 55-57% regardless of training data variant.**
## Recommended actions
### 1. Compute pipeline pass@8 max-EX (no selector, oracle):
```bash
cd /weka/s225250685/mats-tist
set -a; source .env; set +a
$PY scripts/compute_bestofn_metrics.py eval_results/paper_v3_coder7b_passAt8_bird_dev.jsonl
$PY scripts/compute_bestofn_metrics.py eval_results/paper_v3_passAt8_bird_dev.jsonl
```
This gives upper-bound EX (oracle@K=8) for both v3 pipelines.
### 2. Selector EX with best known selector (v7-dev-fb @ 66.54%):
Quickest test — use the existing `eval_paper_selector.sbatch` pattern but point at the new v3 files:
```bash
# In eval_paper_selector.sbatch, change:
# - SELECTOR to alignment-handbook/output/selector-qwen7b-v7-dev-fb
# - The IN files in the for loop to: paper_v3_coder7b paper_v3
sbatch slurm_logs/eval_paper_selector.sbatch # already wired for row_preview + selector EX
```
### 3. Compare COLLAB-v3 vs INDEP/SFT_VF baselines
Once selector EX is computed, compute pipeline pass@1 EX (selector pick) and compare against SFT_VF baseline. This is the COLLAB > INDEP demonstration target.
## Selector status reminder
- **Best so far: selector-qwen7b-v7-dev-fb = 66.54%** (target: 67%)
- Llama-3B variants: 52-57% range (capped)
- K30-yn10 latest: 56.69% on SFT_VF (just hit)
- Need ~0.46pp more to clear 67% target
## Delete this file once acted on
```bash
rm /weka/s225250685/mats-tist/AGENT_WAKE.md
```
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