
<!-- 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_sgd_00001_fold4

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: 1.4814
- Accuracy: 0.2619

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.9934        | 1.0   | 219   | 1.6922          | 0.2619   |
| 1.9676        | 2.0   | 438   | 1.6780          | 0.2619   |
| 1.8623        | 3.0   | 657   | 1.6644          | 0.2619   |
| 1.8471        | 4.0   | 876   | 1.6514          | 0.2619   |
| 1.8032        | 5.0   | 1095  | 1.6391          | 0.2619   |
| 1.7347        | 6.0   | 1314  | 1.6275          | 0.2619   |
| 1.7421        | 7.0   | 1533  | 1.6165          | 0.2619   |
| 1.7487        | 8.0   | 1752  | 1.6060          | 0.2857   |
| 1.7488        | 9.0   | 1971  | 1.5962          | 0.2857   |
| 1.6907        | 10.0  | 2190  | 1.5869          | 0.2857   |
| 1.7571        | 11.0  | 2409  | 1.5783          | 0.2857   |
| 1.7123        | 12.0  | 2628  | 1.5703          | 0.3095   |
| 1.6705        | 13.0  | 2847  | 1.5628          | 0.3095   |
| 1.6677        | 14.0  | 3066  | 1.5558          | 0.3095   |
| 1.7011        | 15.0  | 3285  | 1.5494          | 0.3095   |
| 1.6459        | 16.0  | 3504  | 1.5434          | 0.3095   |
| 1.6424        | 17.0  | 3723  | 1.5379          | 0.2857   |
| 1.666         | 18.0  | 3942  | 1.5328          | 0.2857   |
| 1.5793        | 19.0  | 4161  | 1.5282          | 0.2857   |
| 1.612         | 20.0  | 4380  | 1.5239          | 0.2857   |
| 1.6378        | 21.0  | 4599  | 1.5199          | 0.2857   |
| 1.603         | 22.0  | 4818  | 1.5163          | 0.2857   |
| 1.5587        | 23.0  | 5037  | 1.5130          | 0.2619   |
| 1.5451        | 24.0  | 5256  | 1.5099          | 0.2619   |
| 1.6036        | 25.0  | 5475  | 1.5071          | 0.2619   |
| 1.5234        | 26.0  | 5694  | 1.5045          | 0.2857   |
| 1.5523        | 27.0  | 5913  | 1.5021          | 0.2857   |
| 1.5056        | 28.0  | 6132  | 1.4999          | 0.2857   |
| 1.5455        | 29.0  | 6351  | 1.4979          | 0.2857   |
| 1.5427        | 30.0  | 6570  | 1.4960          | 0.2857   |
| 1.566         | 31.0  | 6789  | 1.4943          | 0.2857   |
| 1.5088        | 32.0  | 7008  | 1.4927          | 0.2857   |
| 1.524         | 33.0  | 7227  | 1.4913          | 0.2857   |
| 1.5159        | 34.0  | 7446  | 1.4900          | 0.2857   |
| 1.4946        | 35.0  | 7665  | 1.4888          | 0.2619   |
| 1.5331        | 36.0  | 7884  | 1.4877          | 0.2619   |
| 1.5143        | 37.0  | 8103  | 1.4867          | 0.2619   |
| 1.5074        | 38.0  | 8322  | 1.4858          | 0.2619   |
| 1.4853        | 39.0  | 8541  | 1.4850          | 0.2619   |
| 1.5395        | 40.0  | 8760  | 1.4843          | 0.2619   |
| 1.4854        | 41.0  | 8979  | 1.4837          | 0.2619   |
| 1.4835        | 42.0  | 9198  | 1.4832          | 0.2619   |
| 1.5069        | 43.0  | 9417  | 1.4827          | 0.2619   |
| 1.4921        | 44.0  | 9636  | 1.4823          | 0.2619   |
| 1.4639        | 45.0  | 9855  | 1.4820          | 0.2619   |
| 1.511         | 46.0  | 10074 | 1.4818          | 0.2619   |
| 1.4986        | 47.0  | 10293 | 1.4816          | 0.2619   |
| 1.4648        | 48.0  | 10512 | 1.4815          | 0.2619   |
| 1.5244        | 49.0  | 10731 | 1.4814          | 0.2619   |
| 1.5102        | 50.0  | 10950 | 1.4814          | 0.2619   |


### 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_sgd_00001_fold4", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.2619047619047619, "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