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alzheimer_model_aug_deit5
andrewromitti/alzheimer_model_aug_deit5
alzheimer_model_aug_deit5 is a image classification model from andrewromitti. 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
- Jun 25, 2023
- Updated
- Jun 25, 2023
- SHA
- bbf1af7d
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: 0.0012
- Accuracy: 0.9997
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 |
|---|---|---|---|---|
| 0.5045 | 1.0 | 212 | 0.1414 | 0.9522 |
| 0.0779 | 2.0 | 424 | 0.0222 | 0.9961 |
| 0.0156 | 3.0 | 637 | 0.0164 | 0.9941 |
| 0.0032 | 4.0 | 849 | 0.0044 | 0.9983 |
| 0.0004 | 4.99 | 1060 | 0.0012 | 0.9997 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- deit
- License
- apache-2.0
- Created
- Jun 25, 2023
- Updated
- Jun 25, 2023