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qwen3-vl-2b-iconclass-swift-test
davanstrien/qwen3-vl-2b-iconclass-swift-test
qwen3-vl-2b-iconclass-swift-test is a machine learning model from davanstrien. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
LoRA adapter for Qwen/Qwen3-VL-2B-Instruct fine-tuned with ms-swift on davanstrien/iconclass-vlm-brillfull (200 training rows, config sft).
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At a glance
- Library
- peft
- Access
- Public
- Created
- Aug 25, 2026
- Updated
- Aug 25, 2026
- SHA
- 3dee9f86
Base models
Model card
From the Hugging Face model README
qwen3-vl-2b-iconclass-swift-test
LoRA adapter for 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 |
Use
swift infer --model Qwen/Qwen3-VL-2B-Instruct --adapters davanstrien/qwen3-vl-2b-iconclass-swift-test --use_hf true --stream true
Reproduction
Produced on Hugging Face Jobs (gpu) 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
- Library
- peft
- Created
- Aug 25, 2026
- Updated
- Aug 25, 2026