Basic Visual Question Answering model
The model can be trained by using the train.ipynb notebook and using the dataset mentioned in the notebook.
To inference the pretrained model and ask questions with an image, use the ask_questions.ipynb notebook.
Evals:
'eval_loss': 3.4556491374969482,
'eval_wups': 0.3071833106722724,
'eval_acc': 0.2610264635124298,
'eval_f1': 0.03549650549105638,
'eval_runtime': 39.9818,
'eval_samples_per_second': 62.378,
'eval_steps_per_second': 0.975,
'epoch': 10.0
Inference Providers
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Model tree for sudiphalder/vqa_base
Base model
google-bert/bert-base-uncased