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# alzheimer_model_aug_deit5

This model is a fine-tuned version of [facebook/deit-base-distilled-patch16-224](https://huggingface.co/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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/deit-base-distilled-patch16-224", "model-index": [{"name": "alzheimer_model_aug_deit5", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "train", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.9939271255060729, "name": "Accuracy"}]}]}]}
transformers safetensors deit image-classification generated_from_trainer dataset:imagefolder base_model:facebook/deit-base-distilled-patch16-224 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us