shotpilot-e5-subject-v2-qwen3vl8b-lora

ShotPilot Full-Five-Evidence Subject-v2 LoRA

This archive contains all three epoch checkpoints and reproducibility artifacts for the strict subject-v2 ablation.

Controlled Difference

The run uses the same 2,483 image pairs, prompt, full-five-evidence serialization, ordering, evaluation set, and optimization configuration as the preceding full-five-evidence run. Only the subject dimension was replaced on 1,742 covered rows. Train JSONL SHA256: 9a1d57c5210c4596d4ebce78a159105c85632d6ff0f91eeb81f1c7e5a2c4d586.

Training

• Qwen3-VL-8B-Instruct
• LoRA rank 64, alpha 32, dropout 0.05
• 3 epochs; checkpoints 156/312/468
• learning rate 5e-6, weight decay 0.1, warmup ratio 0.03, cosine schedule
• global batch size 16, BF16, max sequence length 4096, image size 672, seed 42

Evaluation

Each checkpoint was evaluated on fixed Eval100_new with the fixed free-review prompt, deterministic decoding, and max_new_tokens=768. Ground-truth fallback and pair judging were disabled.

Primary outputs remain untouched. Repaired outputs replace only rows with loop_8gram_max >= 4 using deterministic no-repeat decoding and retain provenance.

Every primary and repaired output contains exactly 100 unique evaluation IDs. Repaired outputs are decoding interventions and must not be reported as untouched model output.

Archive

• checkpoints/: adapter weights, adapter configs, trainer states, and checkpoint READMEs
• nonweights.tar: train/eval JSONL, scripts, summaries, token audit, and logs
• manifest.json: byte sizes and SHA256 checksums

Optimizer state, base-model weights, and images are excluded.