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vit-base-patch16-224-in21k_brain_tumor_diagnosis
saketsarin/vit-base-patch16-224-in21k_brain_tumor_diagnosis
vit-base-patch16-224-in21k_brain_tumor_diagnosis is a image classification model from saketsarin. 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
- Nov 4, 2023
- Updated
- Nov 5, 2023
- SHA
- bdba8c84
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-patch16-224-in21k_brain_tumor_diagnosis
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0630
- Accuracy: 0.9858
- F1: 0.9858
- Recall: 0.9858
- Precision: 0.9858
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
|---|---|---|---|---|---|---|---|
| 1.379 | 1.0 | 352 | 0.2159 | 0.9310 | 0.9310 | 0.9310 | 0.9390 |
| 0.239 | 2.0 | 704 | 0.0814 | 0.9765 | 0.9766 | 0.9765 | 0.9767 |
| 0.0748 | 3.0 | 1056 | 0.0822 | 0.9808 | 0.9808 | 0.9808 | 0.9812 |
| 0.0748 | 4.0 | 1408 | 0.0651 | 0.9858 | 0.9858 | 0.9858 | 0.9858 |
| 0.0125 | 5.0 | 1760 | 0.0630 | 0.9858 | 0.9858 | 0.9858 | 0.9858 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Nov 4, 2023
- Updated
- Nov 5, 2023