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paligemma_VQAv2_ko_v0 – AI Model by namyi | AlphaNeural AI

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namyi/
paligemma_VQAv2_ko_v0

like

0

generated_from_trainer

visual-question-answering

HuggingFaceM4/VQAv2

google/paligemma-3b-pt-224

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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(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