Vilt Finetuned 200

--- library_name: transformers license: apache-2.0 base_model: dandelin/vilt-b32-mlm tags: - generated_from_trainer datasets: - vqa model-index: - name: vilt_finetuned_200 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_finetuned_200 This model is a fine-tuned version of [dandelin/vilt-b32-mlm](https://huggingface.co/dandelin/vilt-b32-mlm) on the vqa 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: 12 - eval_batch_size: 24 - seed: 42 - 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 ### Training results ### Framework versions - Transformers 4.47.1 - Pytorch 2.5.1 - Datasets 3.2.0 - Tokenizers 0.21.0

Source context: 20 downloads · 0 likes · Pipeline visual-question-answering · Library transformers · Repo Salman32140/vilt_finetuned_200

Source context: 11 downloads · 0 likes · Pipeline visual-question-answering · Library transformers · Repo Salman32140/vilt_finetuned_200