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| Folder | Config | Train epochs | train_loss | Notes |
|---|---|---|---|---|
SFT-baseline-bs128-seed42/checkpoint-4251 | effective batch 128 (matches paper) | 3 | 0.274 | main result |
SFT-baseline-bs64-DEPRECATED-seed42/checkpoint-8499 | effective batch 64 (half-paper, setup error) | 3 | 0.206 | partially eval'd |
SFT-baseline-bs64-partial-seed42/checkpoint-1500 | bs64 — partial | 0.5 | n/a | killed mid-training |
SFT-no123-bs64-partial-seed42/checkpoint-2000 | bs64 — partial — no123 ablation | 0.7 | n/a | killed mid-training |
Qwen/Qwen2.5-VL-7B-Instruct. Load with:1from transformers import AutoModelForCausalLM, AutoProcessor
2mp = "Icey444/ttthyme-ckpts/SFT-baseline-bs128-seed42/checkpoint-4251"
3model = AutoModelForCausalLM.from_pretrained(mp, trust_remote_code=True)
4processor = AutoProcessor.from_pretrained(mp)