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# hushem_1x_deit_small_sgd_0001_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: 1.5323
- Accuracy: 0.3023

## 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: 0.0001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 6    | 1.5973          | 0.1860   |
| 1.5067        | 2.0   | 12   | 1.5935          | 0.1860   |
| 1.5067        | 3.0   | 18   | 1.5902          | 0.1860   |
| 1.4808        | 4.0   | 24   | 1.5868          | 0.2326   |
| 1.4805        | 5.0   | 30   | 1.5835          | 0.2326   |
| 1.4805        | 6.0   | 36   | 1.5802          | 0.2558   |
| 1.4884        | 7.0   | 42   | 1.5770          | 0.2558   |
| 1.4884        | 8.0   | 48   | 1.5745          | 0.2558   |
| 1.4701        | 9.0   | 54   | 1.5717          | 0.2558   |
| 1.4909        | 10.0  | 60   | 1.5691          | 0.2558   |
| 1.4909        | 11.0  | 66   | 1.5667          | 0.2558   |
| 1.4719        | 12.0  | 72   | 1.5643          | 0.2558   |
| 1.4719        | 13.0  | 78   | 1.5620          | 0.2558   |
| 1.4695        | 14.0  | 84   | 1.5598          | 0.3023   |
| 1.4633        | 15.0  | 90   | 1.5576          | 0.3023   |
| 1.4633        | 16.0  | 96   | 1.5555          | 0.3023   |
| 1.4805        | 17.0  | 102  | 1.5536          | 0.3023   |
| 1.4805        | 18.0  | 108  | 1.5518          | 0.3023   |
| 1.4265        | 19.0  | 114  | 1.5500          | 0.3023   |
| 1.4558        | 20.0  | 120  | 1.5483          | 0.3023   |
| 1.4558        | 21.0  | 126  | 1.5468          | 0.3023   |
| 1.4538        | 22.0  | 132  | 1.5454          | 0.3023   |
| 1.4538        | 23.0  | 138  | 1.5441          | 0.3023   |
| 1.4345        | 24.0  | 144  | 1.5427          | 0.3023   |
| 1.435         | 25.0  | 150  | 1.5416          | 0.3023   |
| 1.435         | 26.0  | 156  | 1.5405          | 0.3023   |
| 1.4381        | 27.0  | 162  | 1.5394          | 0.3023   |
| 1.4381        | 28.0  | 168  | 1.5384          | 0.3023   |
| 1.4397        | 29.0  | 174  | 1.5376          | 0.3023   |
| 1.4251        | 30.0  | 180  | 1.5368          | 0.3023   |
| 1.4251        | 31.0  | 186  | 1.5361          | 0.3023   |
| 1.4272        | 32.0  | 192  | 1.5354          | 0.3023   |
| 1.4272        | 33.0  | 198  | 1.5348          | 0.3023   |
| 1.4277        | 34.0  | 204  | 1.5343          | 0.3023   |
| 1.4249        | 35.0  | 210  | 1.5338          | 0.3023   |
| 1.4249        | 36.0  | 216  | 1.5334          | 0.3023   |
| 1.4476        | 37.0  | 222  | 1.5330          | 0.3023   |
| 1.4476        | 38.0  | 228  | 1.5328          | 0.3023   |
| 1.4487        | 39.0  | 234  | 1.5326          | 0.3023   |
| 1.4294        | 40.0  | 240  | 1.5324          | 0.3023   |
| 1.4294        | 41.0  | 246  | 1.5324          | 0.3023   |
| 1.4087        | 42.0  | 252  | 1.5323          | 0.3023   |
| 1.4087        | 43.0  | 258  | 1.5323          | 0.3023   |
| 1.4561        | 44.0  | 264  | 1.5323          | 0.3023   |
| 1.4317        | 45.0  | 270  | 1.5323          | 0.3023   |
| 1.4317        | 46.0  | 276  | 1.5323          | 0.3023   |
| 1.4154        | 47.0  | 282  | 1.5323          | 0.3023   |
| 1.4154        | 48.0  | 288  | 1.5323          | 0.3023   |
| 1.4386        | 49.0  | 294  | 1.5323          | 0.3023   |
| 1.4625        | 50.0  | 300  | 1.5323          | 0.3023   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/deit-small-patch16-224", "model-index": [{"name": "hushem_1x_deit_small_sgd_0001_fold3", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.3023255813953488, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors 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