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PROGRESS.md

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+# MATS-SQL Bundle — Progress Snapshot
+
+**Bundle**: `thanhdath/mats-sql-bundle` (HuggingFace)
+**Snapshot date**: 2026-05-13
+
+---
+
+## Original Task
+
+Multi-agent Text2SQL pipeline reaching **pass@8 ≥ 67%** (BIRD-dev, EX). Hard constraints from project owner:
+
+- Planner ≤ 3B params
+- Selection ≤ 3B params
+- Validator(s) and Fixer ≤ 1B params each (prefer 0.5B)
+- Max ORPO iter-2 (no iter-3+)
+- **No commercial APIs (no GPT teacher)** — collaborative training must be structurally necessary
+- V+F (validators + fixer) must **not hurt** final accuracy and **should contribute** to acc increase
+- Results tables must include per-agent parameter counts
+- Two specialized validators per paper §Combined Validator: **v_s (selection)** and **v_c (condition)**
+
+---
+
+## Current Progress (latest)
+
+### Best result so far (BIRD-dev, K=8)
+
+| Config | N | pass@8 (recall, oracle) | Selector pick | Notes |
+|---|---|---|---|---|
+| 1-stage iter-2 uniform-temp | 1524 | 64.96% | 64.96%* | * selector currently leaks gold label — overstates |
+| 1-stage iter-2 mixed-temp (0.5/0.7/0.9/1.1) | 1525 | **65.38%** | 65.38%* | best vanilla planner-only |
+| 3-stage iter-2 + 0.6B v_s/v_c + ORPO fixer iter-1 | 1525 | 65.05% | 65.05%* | V+F neutral, 0 rescues |
+| 3-stage iter-2 + 0.5B v_s/v_c + replanner-fixer iter-2 | 1534 (in flight) | pending | pending | current eval, ETA 30 min |
+
+(*) The selector apply path had a gold-label leak (`is_planner_correct` used in prompt); patched in `compute_bestofn_with_selector.py` — re-run pending.
+
+### Per-model status
+
+| Agent | Model | Params | Status |
+|---|---|---|---|
+| Planner | Qwen2.5-Coder-3B-Instruct + ORPO iter-2 (collab) | 3B | trained ✓ |
+| Selector | Qwen2.5-Coder-3B-Instruct + SFT (YES/NO binary) | 3B | trained ✓ |
+| Validator-Selection (v_s) | Qwen2.5-Coder-0.5B-Instruct + SFT v3 | 0.5B | trained ✓ |
+| Validator-Condition (v_c) | Qwen3-0.6B-Instruct + SFT v3 | 0.6B | trained ✓ (0.5B variant truncated, retrain pending) |
+| Fixer (re-planner) | Qwen2.5-Coder-0.5B + ORPO iter-2 (replanner data) | 0.5B | trained ✓ |
+
+### V+F contribution diagnostic (mixed-temp iter-2 K=8, 1525 q)
+
+- Validators critique 91.6% of trajectories; old fixer ignored 98.6% → 0 rescues at pass@8
+- Replanner fixer (iter-2) currently flipping ~40% of trajectories (winloss=605 at 1360/1534) — net effect being measured
+
+### Key findings
+
+- ORPO planner: SFT 64.11% → iter-1 64.26% → iter-2 64.96% (+0.70pp, diminishing returns)
+- Mixed-temp sampling adds +0.42pp over uniform-temp at K=8
+- v3 validator data rebalanced from 8% all-OK (over-critique) to 34.5%/61% all-OK
+- Fixer dataset re-built as "re-planner" objective (1833 pairs): given a failed planner trajectory, produce a correct alternative from same question's K=4 trajectories
+- pass@8 (true recall) is the *upper bound* for trained-selector accuracy; need recall ≥70% to land headline ≥67% after selector picks
+
+---
+
+## What's Next (in priority order)
+
+1. **Phase4 K=8 3-stage eval finishes** (currently 89% done, ETA 30 min) → get pass@8 with replanner-fixer.
+2. **Apply patched (leak-free) selector** to all K=8 JSONLs → get true selector accuracy (not oracle).
+3. **If pass@8 selector ≥67%: DONE.** Write results table with per-agent sizes.
+4. **If pass@8 selector <67%:**
+   - Re-mine fixer ORPO data on **iter-2 planner** BIRD-train rollouts (current data was from iter-1 planner → distribution shift).
+   - Re-train fixer ORPO iter-2 on fresh data.
+   - Consider planner sampling tricks: wider mixed-temp (0.3-1.3), nucleus variation.
+5. **Make V+F contribute (currently neutral):** the 0.5B replanner fixer's `winloss` is now high (~40%) — need to check if those flips are net+ or net-. If net-, gate fixer to only run on `planner_exec_ok=False` cases.
+
+---
+
+## Repo contents
+
+```
+mats-sql-bundle/
+├── PROGRESS.md                                                  # this file
+├── models/
+│   ├── planner-iter2-collab-3B/                                 # 3B ORPO iter-2 planner
+│   ├── selector-3B-sft/                                         # 3B trained selector
+│   ├── validator-selection-0.5B-v3/                             # v_s SFT
+│   ├── validator-condition-0.6B-v3/                             # v_c SFT
+│   └── fixer-replanner-0.5B-iter2-orpo/                         # ORPO iter-2 re-planner fixer
+├── data/
+│   ├── sft-validator-selection-v3/                              # SFT data for v_s
+│   ├── sft-validator-condition-v3/                              # SFT data for v_c
+│   ├── hf_fixer_replanner/                                      # ORPO data for fixer iter-2
+│   └── hf_planner_collaborative_iter2/                          # ORPO data for planner iter-2
+├── recipes/
+│   ├── orpo-planner-collab-iter2.yaml
+│   ├── orpo-fixer-replanner-0.5b-iter2.yaml
+│   ├── validator-selection-fft-0.5b-v3.yaml
+│   └── validator-condition-fft-0.5b-v3.yaml
+└── scripts/
+    ├── run_pipeline_rollouts.py                                 # rollout / 3-stage runner
+    ├── compute_bestofn_with_selector.py                         # selector apply (patched)
+    ├── compute_bestofn_metrics.py                               # oracle/greedy metrics
+    ├── build_validator_2agents_v3.py                            # v_s/v_c data builder
+    └── build_fixer_replanner_iter2.py                           # fixer re-planner data builder
+```
+
+## How to continue from this bundle
+
+```bash
+# 1. Clone the bundle (~16 GB)
+git clone https://huggingface.co/datasets/thanhdath/mats-sql-bundle
+cd mats-sql-bundle
+
+# 2. Symlink to alignment-handbook layout
+ln -s $(pwd)/models /path/to/alignment-handbook/output
+ln -s $(pwd)/data /path/to/mats-sql-tist/data/llm_alignment_imported
+
+# 3. Continue from where we left off: BIRD-dev K=8 3-stage with iter-2 planner + 0.5B agents
+bash scripts/run_pipeline_rollouts.py --K 8 --mixed_temp "0.5,0.7,0.9,1.1" ...
+
+# 4. To do iter-3 (if needed), re-mine fixer data on iter-2 planner BIRD-train rollouts first.
+```
+
+---
+
+**Maintainer**: thanhdath@gmail.com / thanhdath97@gmail.com
+**Source repo**: /home/datht/mats-sql-tist (private dev machine)