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SmolVLM2-256M-Video-Instruct-dense-caption_full-irrelevent_full
znyd/SmolVLM2-256M-Video-Instruct-dense-caption_full-irrelevent_full
SmolVLM2-256M-Video-Instruct-dense-caption_full-irrelevent_full is a image-text-to-text model from znyd. 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 apache-2.0.
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
- apache-2.0
- Model type
- smolvlm
- Access
- Public
- Created
- Jun 15, 2025
- Updated
- Jun 16, 2025
- SHA
- 98bd1292
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. -->
SmolVLM2-256M-Video-Instruct-dense-caption_full-irrelevent_full
This model is a fine-tuned version of huggingFaceOfNabil/SmolVLM2-256M-Video-Instruct-dense-caption_full on an unknown 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 1
Training results
Framework versions
- Transformers 4.52.4
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- smolvlm
- License
- apache-2.0
- Created
- Jun 15, 2025
- Updated
- Jun 16, 2025