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IAD-X1-SFT-thinking
minsu0567/IAD-X1-SFT-thinking
IAD-X1-SFT-thinking is a image-text-to-text model from minsu0567. 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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42.9 GB on disk
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- other
- Model type
- qwen3_5
- Access
- Public
- Created
- Jun 10, 2026
- Updated
- Aug 17, 2026
- SHA
- 9f96598d
Try a prompt
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. -->
Qwen3_5_4B
This model is a fine-tuned version of Qwen/Qwen3.5-4B on the PA_SFT_merged_2_only 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- 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: 100.0
- num_epochs: 1.0
Training results
Framework versions
- Transformers 5.10.2
- Pytorch 2.11.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- qwen3_5
- License
- other
- Created
- Jun 10, 2026
- Updated
- Aug 17, 2026