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qwen3-vl-checkpoints-badnets
copydata/qwen3-vl-checkpoints-badnets
qwen3-vl-checkpoints-badnets is a image-text-to-text model from copydata. 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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Base models
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. -->
2k_BadNets-T_targeted_refusal
This model is a fine-tuned version of Qwen/Qwen3-VL-8B-Instruct on the sft_2k_BadNets-T_targeted_refusal 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 5.0
Training results
Framework versions
- Transformers 5.2.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- qwen3_vl
- License
- other
- Created
- Sep 23, 2026
- Updated
- Sep 23, 2026