Vilt B32 Finetuned Vqa Hse v0.0.0

--- library_name: transformers license: apache-2.0 base_model: dandelin/vilt-b32-finetuned-vqa tags: - generated_from_trainer model-index: - name: vilt-b32-finetuned-vqa-hse-v0.0.0 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # vilt-b32-finetuned-vqa-hse-v0.0.0 This model is a fine-tuned version of [dandelin/vilt-b32-finetuned-vqa](https://huggingface.co/dandelin/vilt-b32-finetuned-vqa) 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: 8 - eval_batch_size: 16 - seed: 42 - optimizer: Use 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: 2 ### Training results ### Framework versions - Transformers 4.48.1 - Pytorch 2.5.1+cu121 - Datasets 3.2.0 - Tokenizers 0.21.0

Source context: 21 downloads · 0 likes · Pipeline visual-question-answering · Library transformers · Repo muhammadfhadli/vilt-b32-finetuned-vqa-hse-v0.0.0

Source context: 13 downloads · 0 likes · Pipeline visual-question-answering · Library transformers · Repo muhammadfhadli/vilt-b32-finetuned-vqa-hse-v0.0.0