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vilt-finetuned-fashion-vqa-100-ftun250 – AI Model by SergioAnaut | AlphaNeural AI

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SergioAnaut/
vilt-finetuned-fashion-vqa-100-ftun250

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visual-question-answering

generated_from_trainer

dandelin/vilt-b32-finetuned-vqa

endpoints_compatible

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vilt-finetuned-fashion-vqa-100-ftun250

This model is a fine-tuned version of dandelin/vilt-b32-finetuned-vqa on the None 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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0