Downloads · 30 days
27
10% of all-time downloads
git-base-vqa2_finetuning_ok-vqa_epoch-30_batch-8
yoon6173/git-base-vqa2_finetuning_ok-vqa_epoch-30_batch-8
git-base-vqa2_finetuning_ok-vqa_epoch-30_batch-8 is a visual question answering model from yoon6173. Use it for the visual question answering task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
283
Public
Parameters
72.4M
1.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors289 MB · 100%
At a glance
- Task
- Visual Question Answering
- Library
- transformers
- License
- mit
- Model type
- vilt
- Access
- Public
- Created
- Nov 8, 2023
- Updated
- Nov 8, 2023
- SHA
- bf40d7f0
Base models
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. -->
git-base-vqa2_finetuning_ok-vqa_epoch-30_batch-8
This model is a fine-tuned version of microsoft/git-base-vqav2 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Visual Question Answering
- Library
- transformers
- Type
- vilt
- License
- mit
- Created
- Nov 8, 2023
- Updated
- Nov 8, 2023