---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: vilt-gqa-ft
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# vilt-gqa-ft

GQA: Visual Reasoning in the Real World dataset

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.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: 20

### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0
- Datasets 3.5.0
- Tokenizers 0.21.1