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blip-vqa-finetuned
riteshkr/blip-vqa-finetuned
blip-vqa-finetuned is a machine learning model from riteshkr. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as bsd-3-clause.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- bsd-3-clause
- Model type
- vilt
- Access
- Public
- Created
- Aug 23, 2024
- Updated
- Aug 23, 2024
- SHA
- 7c0a6391
Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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_vqa_finetuned
This model is a fine-tuned version of Salesforce/blip-vqa-base 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- vilt
- License
- bsd-3-clause
- Created
- Aug 23, 2024
- Updated
- Aug 23, 2024