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qwen2_5vl_3b_sft_unified_idm_data_all_equal_actions_2_frames
mlfoundations-cua-dev/qwen2_5vl_3b_sft_unified_idm_data_all_equal_actions_2_frames
qwen2_5vl_3b_sft_unified_idm_data_all_equal_actions_2_frames is a image-text-to-text model from mlfoundations-cua-dev. 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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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. -->
qwen2_5vl_3b_sft_unified_idm_data_all_equal_actions_2_frames
This model is a fine-tuned version of Qwen/Qwen2.5-VL-3B-Instruct on the unified_idm_data_all_equal_actions_2_frames 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
- total_train_batch_size: 8
- total_eval_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.52.4
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- qwen2_5_vl
- License
- other
- Created
- Jul 14, 2025
- Updated
- Jul 14, 2025