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finetuned_paligemma_vqav2
ebrukilic/finetuned_paligemma_vqav2
finetuned_paligemma_vqav2 is a text generation model from ebrukilic. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- peft
- License
- gemma
- Access
- Public
- Created
- Dec 19, 2025
- Updated
- Dec 20, 2025
- SHA
- b2c7d38b
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. -->
finetuned_paligemma_vqav2
This model is a fine-tuned version of google/paligemma-3b-pt-448 on the VQAv2 small dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.PAGED_ADAMW 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: 2
- num_epochs: 2
Training results
Framework versions
- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1
- Task
- Text Generation
- Library
- peft
- License
- gemma
- Created
- Dec 19, 2025
- Updated
- Dec 20, 2025