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Paligemma VQAv2 Ko v0

This model is a fine-tuned version of google/paligemma-3b-pt-224 on Korean VQA dataset(

TypeLoRAModèle de basegoogle/paligemma-3b-pt-224Versionadapter_modelCClasse

Source du modèle

Type
LoRA
Taille du fichier
43,2 MB
Modèle de base
google/paligemma-3b-pt-224
Version
vadapter_model
Mis à jour
23 oct. 2026
Téléchargements
9
Source
Hugging Face

Description de la source

paligemma_VQAv2_ko_v0

This model is a fine-tuned version of google/paligemma-3b-pt-224 on Korean VQA dataset(https://huggingface.co/datasets/namyi/VQAv2_ko).

Model description

This model was finetuned using VQAv2 datasets translated into KOREAN.

Intended uses & limitations

Nothing

Training and evaluation data

Nothing

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: 4
  • total_train_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 2
  • num_epochs: 1

Training results

Framework versions

  • PEFT 0.8.2
  • Transformers 4.45.0.dev0
  • Pytorch 2.1.2+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1

Sources

1 source
Hugging FacePrincipalVersion 5f96f6c6d2618abcd3040216de3bc53f6439caa9
huggingface.co/namyi/paligemma_VQAv2_ko_v0/tree/5f96f6c6d2618abcd3040216de3bc53f6439caa9

Vérifié 23 oct.

Artefacts du modèle

1 artefact

adapter_model.safetensors

safetensors · 43,2 MB · SHA-256 1ce773a24eb5…a145 · Hugging Face

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Extraits de sources

3 extraits

--- base_model: google/paligemma-3b-pt-224 library_name: peft license: gemma tags: - generated_from_trainer model-index: - name: paligemma_VQAv2_ko_v0 results: [] pipeline_tag: visual-question-answering datasets: - HuggingFaceM4/VQAv2 language: - ko - en --- <!-- 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. --> # paligemma_VQAv2_ko_v0 This model is a fine-tuned version of [google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224) on Korean VQA dataset(https://huggingface.co/datasets/namyi/VQAv2_ko). ## Model description This model was finetuned using VQAv2 datasets translated into KOREAN. ## Intended uses & limitations Nothing ## Training and evaluation data Nothing ## 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: 4 - total_train_batch_size: 4 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 2 - num_epochs: 1 ### Training results ### Framework versions - PEFT 0.8.2 - Transformers 4.45.0.dev0 - Pytorch 2.1.2+cu121 - Datasets 2.21.0 - Tokenizers 0.19.1

Source context: 9 downloads · 0 likes · Pipeline visual-question-answering · Library peft · Repo namyi/paligemma_VQAv2_ko_v0

Source context: 6 downloads · 0 likes · Pipeline visual-question-answering · Library peft · Repo namyi/paligemma_VQAv2_ko_v0