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Qwen/Qwen3-VL-2B-Instruct fine-tuned with
ms-swift on
davanstrien/iconclass-vlm-brillfull
(200 training rows, config sft).| epochs | 1.0 |
| learning rate | 0.0001 |
| LoRA rank / alpha | 8 / 32 |
| effective batch | 16 |
| max length / pixels | 2048 / 1003520 |
| vision tower | frozen |
| final train loss | 1.847952651977539 |
| eval loss | 1.8682091236114502 |
| training time | 1.6 min |
swift infer --model Qwen/Qwen3-VL-2B-Instruct --adapters davanstrien/qwen3-vl-2b-iconclass-swift-test --use_hf true --stream truegpu) with the swift-vlm-sft.py recipe from uv-scripts. Run it yourself:hf jobs uv run --flavor a10g-large --timeout 1h --secrets HF_TOKEN https://huggingface.co/datasets/uv-scripts/finetune/raw/main/swift-vlm-sft.py davanstrien/iconclass-vlm-brillfull davanstrien/qwen3-vl-2b-iconclass-swift-test --config sft --max-samples 200 --epochs 1