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# hushem_1x_deit_tiny_sgd_001_fold3

This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2767
- Accuracy: 0.3488

## 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: 0.001
- 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    | 1.6231          | 0.2791   |
| 1.6502        | 2.0   | 12   | 1.5615          | 0.2791   |
| 1.6502        | 3.0   | 18   | 1.5208          | 0.2558   |
| 1.5138        | 4.0   | 24   | 1.4935          | 0.2093   |
| 1.441         | 5.0   | 30   | 1.4720          | 0.2093   |
| 1.441         | 6.0   | 36   | 1.4541          | 0.2326   |
| 1.3942        | 7.0   | 42   | 1.4402          | 0.3023   |
| 1.3942        | 8.0   | 48   | 1.4271          | 0.3023   |
| 1.3895        | 9.0   | 54   | 1.4159          | 0.2791   |
| 1.3382        | 10.0  | 60   | 1.4069          | 0.2791   |
| 1.3382        | 11.0  | 66   | 1.3983          | 0.2558   |
| 1.3326        | 12.0  | 72   | 1.3893          | 0.2558   |
| 1.3326        | 13.0  | 78   | 1.3800          | 0.2558   |
| 1.3102        | 14.0  | 84   | 1.3707          | 0.2558   |
| 1.3163        | 15.0  | 90   | 1.3619          | 0.2791   |
| 1.3163        | 16.0  | 96   | 1.3528          | 0.2791   |
| 1.295         | 17.0  | 102  | 1.3463          | 0.2791   |
| 1.295         | 18.0  | 108  | 1.3391          | 0.2791   |
| 1.2552        | 19.0  | 114  | 1.3325          | 0.3023   |
| 1.2682        | 20.0  | 120  | 1.3269          | 0.3023   |
| 1.2682        | 21.0  | 126  | 1.3221          | 0.3256   |
| 1.2578        | 22.0  | 132  | 1.3173          | 0.3488   |
| 1.2578        | 23.0  | 138  | 1.3126          | 0.3488   |
| 1.2124        | 24.0  | 144  | 1.3087          | 0.3488   |
| 1.2284        | 25.0  | 150  | 1.3049          | 0.3488   |
| 1.2284        | 26.0  | 156  | 1.3017          | 0.3488   |
| 1.2178        | 27.0  | 162  | 1.2982          | 0.3488   |
| 1.2178        | 28.0  | 168  | 1.2955          | 0.3488   |
| 1.2019        | 29.0  | 174  | 1.2931          | 0.3488   |
| 1.2029        | 30.0  | 180  | 1.2906          | 0.3488   |
| 1.2029        | 31.0  | 186  | 1.2886          | 0.3488   |
| 1.1935        | 32.0  | 192  | 1.2863          | 0.3488   |
| 1.1935        | 33.0  | 198  | 1.2843          | 0.3488   |
| 1.164         | 34.0  | 204  | 1.2826          | 0.3488   |
| 1.1999        | 35.0  | 210  | 1.2814          | 0.3488   |
| 1.1999        | 36.0  | 216  | 1.2801          | 0.3488   |
| 1.1813        | 37.0  | 222  | 1.2790          | 0.3488   |
| 1.1813        | 38.0  | 228  | 1.2781          | 0.3488   |
| 1.1753        | 39.0  | 234  | 1.2775          | 0.3488   |
| 1.1877        | 40.0  | 240  | 1.2770          | 0.3488   |
| 1.1877        | 41.0  | 246  | 1.2768          | 0.3488   |
| 1.1774        | 42.0  | 252  | 1.2767          | 0.3488   |
| 1.1774        | 43.0  | 258  | 1.2767          | 0.3488   |
| 1.1704        | 44.0  | 264  | 1.2767          | 0.3488   |
| 1.1843        | 45.0  | 270  | 1.2767          | 0.3488   |
| 1.1843        | 46.0  | 276  | 1.2767          | 0.3488   |
| 1.1726        | 47.0  | 282  | 1.2767          | 0.3488   |
| 1.1726        | 48.0  | 288  | 1.2767          | 0.3488   |
| 1.1541        | 49.0  | 294  | 1.2767          | 0.3488   |
| 1.1928        | 50.0  | 300  | 1.2767          | 0.3488   |


### 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-tiny-patch16-224", "model-index": [{"name": "hushem_1x_deit_tiny_sgd_001_fold3", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.3488372093023256, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors vit image-classification generated_from_trainer dataset:imagefolder base_model:facebook/deit-tiny-patch16-224 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us