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vit-pneumonia
trpakov/vit-pneumonia
vit-pneumonia is a image classification model from trpakov. 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 13, 2023
- Updated
- Mar 13, 2023
- SHA
- 5fad4126
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-pneumonia
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the chest-xray-classification dataset. It achieves the following results on the evaluation set:
- Loss: 0.1086
- Accuracy: 0.9768
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.25
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0357 | 1.0 | 192 | 0.0955 | 0.9691 |
| 0.0404 | 2.0 | 384 | 0.0720 | 0.9751 |
| 0.0546 | 3.0 | 576 | 0.2275 | 0.9468 |
| 0.0113 | 4.0 | 768 | 0.1386 | 0.9648 |
| 0.0101 | 5.0 | 960 | 0.1212 | 0.9708 |
| 0.0003 | 6.0 | 1152 | 0.0929 | 0.9777 |
| 0.0002 | 7.0 | 1344 | 0.1051 | 0.9777 |
| 0.0002 | 8.0 | 1536 | 0.1075 | 0.9777 |
| 0.0002 | 9.0 | 1728 | 0.1084 | 0.9768 |
| 0.0002 | 10.0 | 1920 | 0.1086 | 0.9768 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Mar 13, 2023
- Updated
- Mar 13, 2023