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deit-base-mri
raedinkhaled/deit-base-mri
deit-base-mri is a image classification model from raedinkhaled. 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
- deit
- Access
- Public
- Created
- Jul 1, 2022
- Updated
- Jul 2, 2022
- SHA
- 2c21709e
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. -->
deit-base-mri
This model is a fine-tuned version of facebook/deit-base-distilled-patch16-224 on the mriDataSet dataset. It achieves the following results on the evaluation set:
- Loss: 0.0657
- Accuracy: 0.9901
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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0107 | 0.8 | 500 | 0.0782 | 0.9887 |
| 0.0065 | 1.6 | 1000 | 0.0657 | 0.9901 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Image Classification
- Library
- transformers
- Type
- deit
- License
- apache-2.0
- Created
- Jul 1, 2022
- Updated
- Jul 2, 2022