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AGENTS.md — Florence–Bridge OPTR
Mission
Reproduce or extend Florence–Bridge continuations without changing the experimental contract. Treat EXPERIMENT_CONTRACT.md and the downloaded 20K state as authoritative.
Non-negotiable rules
- Do not use Git operations for this handoff.
- Never overwrite the 20K common start, frozen proposal, or published 20.5K snapshots.
- New runs use new output directories.
- Resume new branches from the complete 20K Accelerate state, never from a 20.5K model-only file.
- Do not add code, path, manifest, or self-referential checksum launch gates.
- Keep dataset, episode, valid-anchor and proposal-support identity checks.
- Checkpoint readiness is established by required-file presence, byte size, loadability and semantic contract checks.
- Do not silently change world size, global batch, continuation seed, proposal, correction, budget or evaluation panel.
Required local assets
Set these variables before launch:
export OPTR_PROJECT_ROOT=/path/to/this/repository
export OPTR_RUN_ROOT=/path/to/new/runs
export OPTR_PYTHON=/path/to/python
export FLORENCE_MODEL_PATH=/path/to/Florence-2-large
export BRIDGE_DATA_ROOT=/path/to/OXE_LEROBOT_DATASET
export BRIDGE_STATISTICS_PATH=/path/to/dataset_statistics.json
export BRIDGE_PROVENANCE_PATH=$OPTR_PROJECT_ROOT/manifests/data_provenance.json
export BRIDGE_FINGERPRINT_PATH=$OPTR_PROJECT_ROOT/manifests/content_fingerprints.json
export BRIDGE_MANIFEST_PATH=$OPTR_PROJECT_ROOT/manifests/valid_anchor_manifest_florence_scratch_v1.json
export COMMON_START_20K=$OPTR_PROJECT_ROOT/common_start_20k/checkpoints/steps_20000_accelerate
Locked training contract
- Base: Florence-2-large; action head: DiT-B; horizon 16; state/action dim 7.
- Two GPUs, BF16, DeepSpeed ZeRO-2.
- Micro-batch 4/GPU × world size 2 × accumulation 8 = global batch 64.
- Parent seed 42; continuation/sampler seed 117465; model RNG 588643; transform RNG 298226.
- Resume step 20,000; stop and save at step 20,500.
- AdamW
(0.9, 0.95), eps1e-8, weight decay1e-8; clipping 1.0. - Cosine scheduler, 5K warmup, min LR
5e-7; preserve restored scheduler state. - Residual: K=8, alpha=0.2, epsilon=0.1, linear within-episode interpolation, ordinary p/q correction.
Commands
bash scripts/run_florence_bridge_arm.sh uniform <new-run-id>
bash scripts/run_florence_bridge_arm.sh residual <new-run-id> \
proposals/residual_temporal_proposal_k8_alpha0.2.json
After start, verify exact resume at 20K, global batch 64, and the first update above 20K. A valid finish has exit code 0 and a complete step-20500 model snapshot.
Evaluation
Use scripts/evaluate_bridge_384_no_video.sh. The locked panel has policy seeds 518957/765353/686765/516408; tasks Stack/Carrot/Spoon/Eggplant; 24 episodes per seed-task; BF16; no video; 384 rollouts per checkpoint. Preserve raw episode outcomes.
Where to look first
- Bridge training and evaluation seeds for Rebuttal:
BRIDGE_SEED_PROTOCOL.md - Contract and factual provenance:
EXPERIMENT_CONTRACT.md - File roles and sizes:
ASSET_MANIFEST.json - Source authority and known corrections:
SOURCE_INVENTORY.md - Training config:
configs/florence_bridge_20k_plus500.yaml - Sampling implementation:
starVLA/dataloader/temporal_proposal.py,infoflow_sampler.py - Training integration:
starVLA/training/infoflow.py,train_starvla.py