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alzheimer_model_aug_deit5
sruthis/alzheimer_model_aug_deit5
alzheimer_model_aug_deit5 is a image classification model from sruthis. 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
- Jan 15, 2024
- Updated
- Feb 7, 2024
- SHA
- 30cfbe0d
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. -->
alzheimer_model_aug_deit5
This model is a fine-tuned version of facebook/deit-base-distilled-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0472
- Accuracy: 0.9939
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: 16
- eval_batch_size: 8
- seed: 1234
- gradient_accumulation_steps: 10
- total_train_batch_size: 160
- 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 |
|---|---|---|---|---|
| No log | 0.97 | 12 | 0.5252 | 0.8947 |
| No log | 1.94 | 24 | 0.1506 | 0.9636 |
| No log | 2.98 | 37 | 0.0787 | 0.9858 |
| No log | 3.95 | 49 | 0.0587 | 0.9919 |
| No log | 4.84 | 60 | 0.0472 | 0.9939 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Image Classification
- Library
- transformers
- Type
- deit
- License
- apache-2.0
- Created
- Jan 15, 2024
- Updated
- Feb 7, 2024