
<!-- 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. -->

# hushem_40x_deit_small_adamax_00001_fold3

This model is a fine-tuned version of [facebook/deit-small-patch16-224](https://huggingface.co/facebook/deit-small-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4888
- Accuracy: 0.9302

## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.3152        | 1.0   | 217   | 0.4303          | 0.8140   |
| 0.0395        | 2.0   | 434   | 0.3110          | 0.8605   |
| 0.0052        | 3.0   | 651   | 0.1960          | 0.8837   |
| 0.0014        | 4.0   | 868   | 0.1973          | 0.9070   |
| 0.0007        | 5.0   | 1085  | 0.1799          | 0.9070   |
| 0.0004        | 6.0   | 1302  | 0.1913          | 0.9070   |
| 0.0003        | 7.0   | 1519  | 0.2030          | 0.9070   |
| 0.0002        | 8.0   | 1736  | 0.1949          | 0.9302   |
| 0.0002        | 9.0   | 1953  | 0.2095          | 0.9302   |
| 0.0001        | 10.0  | 2170  | 0.2248          | 0.9302   |
| 0.0001        | 11.0  | 2387  | 0.1957          | 0.9070   |
| 0.0001        | 12.0  | 2604  | 0.2287          | 0.9302   |
| 0.0001        | 13.0  | 2821  | 0.2292          | 0.9302   |
| 0.0           | 14.0  | 3038  | 0.2168          | 0.9302   |
| 0.0           | 15.0  | 3255  | 0.2321          | 0.9302   |
| 0.0           | 16.0  | 3472  | 0.2331          | 0.9302   |
| 0.0           | 17.0  | 3689  | 0.2639          | 0.9302   |
| 0.0           | 18.0  | 3906  | 0.2552          | 0.9302   |
| 0.0           | 19.0  | 4123  | 0.2773          | 0.9302   |
| 0.0           | 20.0  | 4340  | 0.2788          | 0.9302   |
| 0.0           | 21.0  | 4557  | 0.3072          | 0.9302   |
| 0.0           | 22.0  | 4774  | 0.2995          | 0.9302   |
| 0.0           | 23.0  | 4991  | 0.3235          | 0.9302   |
| 0.0           | 24.0  | 5208  | 0.3152          | 0.9302   |
| 0.0           | 25.0  | 5425  | 0.3196          | 0.9302   |
| 0.0           | 26.0  | 5642  | 0.3244          | 0.9302   |
| 0.0           | 27.0  | 5859  | 0.3243          | 0.9302   |
| 0.0           | 28.0  | 6076  | 0.3343          | 0.9302   |
| 0.0           | 29.0  | 6293  | 0.3666          | 0.9302   |
| 0.0           | 30.0  | 6510  | 0.3811          | 0.9302   |
| 0.0           | 31.0  | 6727  | 0.3978          | 0.9302   |
| 0.0           | 32.0  | 6944  | 0.3769          | 0.9302   |
| 0.0           | 33.0  | 7161  | 0.4052          | 0.9302   |
| 0.0           | 34.0  | 7378  | 0.4150          | 0.9302   |
| 0.0           | 35.0  | 7595  | 0.4227          | 0.9302   |
| 0.0           | 36.0  | 7812  | 0.4100          | 0.9302   |
| 0.0           | 37.0  | 8029  | 0.3974          | 0.9302   |
| 0.0           | 38.0  | 8246  | 0.4427          | 0.9302   |
| 0.0           | 39.0  | 8463  | 0.4150          | 0.9302   |
| 0.0           | 40.0  | 8680  | 0.4448          | 0.9302   |
| 0.0           | 41.0  | 8897  | 0.4616          | 0.9302   |
| 0.0           | 42.0  | 9114  | 0.4839          | 0.9302   |
| 0.0           | 43.0  | 9331  | 0.4831          | 0.9302   |
| 0.0           | 44.0  | 9548  | 0.4641          | 0.9302   |
| 0.0           | 45.0  | 9765  | 0.4680          | 0.9302   |
| 0.0           | 46.0  | 9982  | 0.4903          | 0.9302   |
| 0.0           | 47.0  | 10199 | 0.4721          | 0.9302   |
| 0.0           | 48.0  | 10416 | 0.4832          | 0.9302   |
| 0.0           | 49.0  | 10633 | 0.4900          | 0.9302   |
| 0.0           | 50.0  | 10850 | 0.4888          | 0.9302   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/deit-small-patch16-224", "model-index": [{"name": "hushem_40x_deit_small_adamax_00001_fold3", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.9302325581395349, "name": "Accuracy"}]}]}]}
transformers pytorch vit image-classification generated_from_trainer dataset:imagefolder base_model:facebook/deit-small-patch16-224 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us