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internvl3_5-4b-iconclass-sft-brillfull
davanstrien/internvl3_5-4b-iconclass-sft-brillfull
internvl3_5-4b-iconclass-sft-brillfull 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 OpenGVLab/InternVL35-4B-HF fine-tuned with ms-swift on davanstrien/iconclass-vlm-brillfull (86216 training rows, config sft).
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At a glance
- Library
- peft
- Access
- Public
- Created
- Aug 26, 2026
- Updated
- Aug 26, 2026
- SHA
- 968ac397
Base models
Model card
From the Hugging Face model README
internvl3_5-4b-iconclass-sft-brillfull
LoRA adapter for OpenGVLab/InternVL3_5-4B-HF fine-tuned with
ms-swift on
davanstrien/iconclass-vlm-brillfull
(86216 training rows, config sft).
| epochs | 1.0 |
| learning rate | 0.0001 |
| LoRA rank / alpha | 8 / 32 |
| effective batch | 16 |
| max length / pixels | 2560 / 1003520 |
| vision tower | frozen |
| final train loss | 0.48287477493286135 |
| eval loss | 0.4837830364704132 |
| training time | 1023.1 min |
Use
swift infer --model OpenGVLab/InternVL3_5-4B-HF --adapters davanstrien/internvl3_5-4b-iconclass-sft-brillfull --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/internvl3_5-4b-iconclass-sft-brillfull --model OpenGVLab/InternVL3_5-4B-HF --config sft --epochs 1 --max-tiles 6 --max-length 2560 --batch-size 2 --grad-accum 8 --eval-ratio 0.005 --save-steps 500 --work-dir /data/iconclass-internvl-full-v2
- Library
- peft
- Created
- Aug 26, 2026
- Updated
- Aug 26, 2026