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paligemma_VQAv2_ko – AI Model by namyi | AlphaNeural AI
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namyi
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paligemma_VQAv2_ko
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peft
tensorboard
safetensors
generated_from_trainer
visual-question-answering
ko
en
HuggingFaceM4/VQAv2
google/paligemma-3b-pt-224
adapter
gemma
us
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paligemma_VQAv2_ko
This model is a fine-tuned version of
google/paligemma-3b-pt-224
on an korean VQAv2 dataset.(HuggingFaceM4/VQAv2)
ds = load_dataset('HuggingFaceM4/VQAv2', split="train[:100%]",cache_dir=root_path+'dataset/')
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: 2
Framework versions
PEFT 0.8.2
Transformers 4.45.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.21.0
Tokenizers 0.19.1
