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# hushem_1x_deit_tiny_rms_lr001_fold4

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: 1.1726
- Accuracy: 0.4524

## 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    | 5.8408          | 0.2619   |
| 4.7138        | 2.0   | 12   | 1.8632          | 0.2381   |
| 4.7138        | 3.0   | 18   | 1.9369          | 0.2619   |
| 1.8439        | 4.0   | 24   | 1.7584          | 0.2381   |
| 1.6449        | 5.0   | 30   | 1.4723          | 0.2619   |
| 1.6449        | 6.0   | 36   | 1.7187          | 0.2381   |
| 1.5171        | 7.0   | 42   | 1.4960          | 0.2381   |
| 1.5171        | 8.0   | 48   | 1.3962          | 0.2619   |
| 1.4701        | 9.0   | 54   | 1.4942          | 0.2619   |
| 1.4652        | 10.0  | 60   | 1.3642          | 0.2381   |
| 1.4652        | 11.0  | 66   | 1.4490          | 0.2619   |
| 1.4547        | 12.0  | 72   | 1.1912          | 0.4524   |
| 1.4547        | 13.0  | 78   | 1.4737          | 0.2857   |
| 1.3944        | 14.0  | 84   | 1.2170          | 0.4286   |
| 1.3536        | 15.0  | 90   | 1.3540          | 0.2381   |
| 1.3536        | 16.0  | 96   | 1.0819          | 0.6190   |
| 1.2835        | 17.0  | 102  | 1.1640          | 0.4286   |
| 1.2835        | 18.0  | 108  | 1.2309          | 0.3333   |
| 1.306         | 19.0  | 114  | 1.3288          | 0.2857   |
| 1.2522        | 20.0  | 120  | 1.4561          | 0.2857   |
| 1.2522        | 21.0  | 126  | 1.0774          | 0.4762   |
| 1.2491        | 22.0  | 132  | 1.1807          | 0.4286   |
| 1.2491        | 23.0  | 138  | 1.1668          | 0.3810   |
| 1.1882        | 24.0  | 144  | 1.2075          | 0.4286   |
| 1.2028        | 25.0  | 150  | 1.2635          | 0.3333   |
| 1.2028        | 26.0  | 156  | 1.1653          | 0.3810   |
| 1.1822        | 27.0  | 162  | 1.1741          | 0.4048   |
| 1.1822        | 28.0  | 168  | 1.4014          | 0.2619   |
| 1.1086        | 29.0  | 174  | 1.0259          | 0.5476   |
| 1.1111        | 30.0  | 180  | 1.1225          | 0.5238   |
| 1.1111        | 31.0  | 186  | 1.1813          | 0.5      |
| 1.0458        | 32.0  | 192  | 1.1678          | 0.4286   |
| 1.0458        | 33.0  | 198  | 1.1915          | 0.4048   |
| 1.1348        | 34.0  | 204  | 1.3148          | 0.5      |
| 0.9776        | 35.0  | 210  | 1.0082          | 0.5238   |
| 0.9776        | 36.0  | 216  | 0.9144          | 0.6190   |
| 0.9456        | 37.0  | 222  | 1.0677          | 0.4762   |
| 0.9456        | 38.0  | 228  | 1.0695          | 0.5238   |
| 0.8714        | 39.0  | 234  | 1.1982          | 0.4762   |
| 0.8643        | 40.0  | 240  | 1.1143          | 0.4048   |
| 0.8643        | 41.0  | 246  | 1.1270          | 0.4524   |
| 0.7971        | 42.0  | 252  | 1.1726          | 0.4524   |
| 0.7971        | 43.0  | 258  | 1.1726          | 0.4524   |
| 0.7662        | 44.0  | 264  | 1.1726          | 0.4524   |
| 0.7801        | 45.0  | 270  | 1.1726          | 0.4524   |
| 0.7801        | 46.0  | 276  | 1.1726          | 0.4524   |
| 0.7773        | 47.0  | 282  | 1.1726          | 0.4524   |
| 0.7773        | 48.0  | 288  | 1.1726          | 0.4524   |
| 0.7728        | 49.0  | 294  | 1.1726          | 0.4524   |
| 0.7828        | 50.0  | 300  | 1.1726          | 0.4524   |


### Framework versions

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

01_normal 02_tapered 03_pyriform 04_amorphous