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vqa_finetuned_ok-vqa – AI Model by yoon6173 | AlphaNeural AI

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yoon6173/
vqa_finetuned_ok-vqa

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0

visual-question-answering

generated_from_trainer

microsoft/git-base

endpoints_compatible

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vqa_finetuned_ok-vqa

This model is a fine-tuned version of microsoft/git-base on an unknown 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: 20
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1