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vilt-finetuned-fashion-vqa-1000 – AI Model by SergioAnaut | AlphaNeural AI
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SergioAnaut
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vilt-finetuned-fashion-vqa-1000
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transformers
safetensors
vilt
visual-question-answering
generated_from_trainer
generator
dandelin/vilt-b32-finetuned-vqa
finetune
apache-2.0
endpoints_compatible
us
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vilt-finetuned-fashion-vqa-1000
This model is a fine-tuned version of
dandelin/vilt-b32-finetuned-vqa
on the generator 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: 5e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
Framework versions
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1
