hyo37009
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git-vqa-finetuned-on-ok-vqa

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It's my university project. The accuracy is low.

I Don't recommend use this for your new project.

git-vqa-finetuned-on-ok-vqa

This model is a fine-tuned version of microsoft/git-base-vqav2 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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 100
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

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Safetensors

Model size

72.4M params

Tensor type

F32

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Finetuned from

Space using hyo37009/git-vqa-finetuned-on-ok-vqa 1

Evaluation results

Metadata error: specify a dataset to view leaderboard