Blip Vqa Finetuned

--- library_name: transformers license: bsd-3-clause base_model: Salesforce/blip-vqa-base tags: - generated_from_trainer model-index: - name: blip-vqa-finetuned 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. --> # blip-vqa-finetuned This model is a fine-tuned version of [Salesforce/blip-vqa-base](https://huggingface.co/Salesforce/blip-vqa-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 2.1477 ## 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: 2e-05 - train_batch_size: 4 - eval_batch_size: 4 - 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: 3 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.7798 | 1.0 | 2000 | 2.4921 | | 2.0263 | 2.0 | 4000 | 2.2244 | | 1.6854 | 3.0 | 6000 | 2.1477 | ### Framework versions - Transformers 4.47.0 - 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 VietKien/blip-vqa-finetuned

Source context: 7 downloads · 0 likes · Pipeline visual-question-answering · Library transformers · Repo VietKien/blip-vqa-finetuned