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vit-base-patch16-224-finetuned-wildcats
rsadaphule/vit-base-patch16-224-finetuned-wildcats
vit-base-patch16-224-finetuned-wildcats is a image classification model from rsadaphule. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Dec 30, 2023
- Updated
- Jan 15, 2024
- SHA
- 150c277c
Datasets
Spaces
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. -->
vit-base-patch16-224-finetuned-wildcats
This model is a fine-tuned version of google/vit-base-patch16-224 on the wildcat image dataset.
Model description
Demo is hosted at https://huggingface.co/spaces/rsadaphule/wildcats
Intended uses & limitations
Classify wildcats
Training and evaluation data
Model has been trained on wildcat images
Training procedure
Fine tune Vision Transformer on wildcat images
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
accuracy : 97%
Framework versions
- Transformers 4.24.0
- Pytorch 2.1.0+cu121
- Datasets 2.7.1
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Dec 30, 2023
- Updated
- Jan 15, 2024