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qwen3vl-4b-h800-use200data
lewei123/qwen3vl-4b-h800-use200data
qwen3vl-4b-h800-use200data is a image-text-to-text model from lewei123. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- other
- Model type
- qwen3_vl
- Access
- Public
- Created
- Jan 5, 2026
- Updated
- Jan 5, 2026
- SHA
- 5521d218
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
stage2_instruct_res_1024_load_midtrain_zero2_h200data_nostreaming
This model is a fine-tuned version of lewei123/Qwen3-VL-4B-LLaVAOV-Stage1.5-mbs1 on the llava_ov_1_5_instruct_h200 dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 28
- total_train_batch_size: 224
- total_eval_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.99) and epsilon=1e-05 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_min_lr
- lr_scheduler_warmup_ratio: 0.002
- training_steps: 3500
Training results
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- qwen3_vl
- License
- other
- Created
- Jan 5, 2026
- Updated
- Jan 5, 2026