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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](https://huggingface.co/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

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/git-base-vqav2", "model-index": [{"name": "git-vqa-finetuned-on-ok-vqa", "results": []}]}
transformers tensorboard safetensors vilt visual-question-answering generated_from_trainer base_model:microsoft/git-base-vqav2 license:mit endpoints_compatible has_space region:us