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vit-base-church-demo-v5
eugdemsha/vit-base-church-demo-v5
vit-base-church-demo-v5 is a image classification model from eugdemsha. 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
- Mar 1, 2024
- Updated
- Mar 1, 2024
- SHA
- 7f1143c5
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. -->
vit-base-church-demo-v5
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the сhurch_data dataset. It achieves the following results on the evaluation set:
- Loss: 0.0623
- Accuracy: 0.9863
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0649 | 0.68 | 100 | 0.0800 | 0.9795 |
| 0.0116 | 1.37 | 200 | 0.0623 | 0.9863 |
| 0.0112 | 2.05 | 300 | 0.0985 | 0.9795 |
| 0.005 | 2.74 | 400 | 0.0716 | 0.9898 |
| 0.0043 | 3.42 | 500 | 0.0715 | 0.9898 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Mar 1, 2024
- Updated
- Mar 1, 2024