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# hushem_1x_deit_small_rms_001_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: 1.2235
- Accuracy: 0.4048

## 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    | 6.3906          | 0.2381   |
| 3.8063        | 2.0   | 12   | 1.7015          | 0.2619   |
| 3.8063        | 3.0   | 18   | 2.0641          | 0.2619   |
| 1.9221        | 4.0   | 24   | 1.7697          | 0.2381   |
| 1.6782        | 5.0   | 30   | 1.4022          | 0.2619   |
| 1.6782        | 6.0   | 36   | 1.7511          | 0.2381   |
| 1.5442        | 7.0   | 42   | 1.4627          | 0.2381   |
| 1.5442        | 8.0   | 48   | 1.4402          | 0.2619   |
| 1.4869        | 9.0   | 54   | 1.4717          | 0.2619   |
| 1.4572        | 10.0  | 60   | 1.4285          | 0.2381   |
| 1.4572        | 11.0  | 66   | 1.4073          | 0.2619   |
| 1.4861        | 12.0  | 72   | 1.4071          | 0.3095   |
| 1.4861        | 13.0  | 78   | 1.3676          | 0.3095   |
| 1.4283        | 14.0  | 84   | 1.4281          | 0.2381   |
| 1.4135        | 15.0  | 90   | 1.4437          | 0.2381   |
| 1.4135        | 16.0  | 96   | 1.3561          | 0.3095   |
| 1.375         | 17.0  | 102  | 1.3574          | 0.2857   |
| 1.375         | 18.0  | 108  | 1.2368          | 0.2857   |
| 1.3639        | 19.0  | 114  | 1.4601          | 0.2857   |
| 1.2891        | 20.0  | 120  | 1.7927          | 0.2381   |
| 1.2891        | 21.0  | 126  | 1.2451          | 0.4048   |
| 1.3173        | 22.0  | 132  | 1.1578          | 0.4762   |
| 1.3173        | 23.0  | 138  | 1.3222          | 0.3095   |
| 1.2505        | 24.0  | 144  | 1.3748          | 0.2381   |
| 1.263         | 25.0  | 150  | 1.3699          | 0.2857   |
| 1.263         | 26.0  | 156  | 1.2508          | 0.3810   |
| 1.2132        | 27.0  | 162  | 1.1843          | 0.4048   |
| 1.2132        | 28.0  | 168  | 1.4161          | 0.2619   |
| 1.1485        | 29.0  | 174  | 1.1305          | 0.4524   |
| 1.181         | 30.0  | 180  | 1.1818          | 0.4524   |
| 1.181         | 31.0  | 186  | 1.2906          | 0.4048   |
| 1.131         | 32.0  | 192  | 1.1623          | 0.4762   |
| 1.131         | 33.0  | 198  | 1.2826          | 0.4524   |
| 1.164         | 34.0  | 204  | 1.1932          | 0.4524   |
| 1.0879        | 35.0  | 210  | 1.1104          | 0.4286   |
| 1.0879        | 36.0  | 216  | 1.0661          | 0.5714   |
| 1.1012        | 37.0  | 222  | 1.2594          | 0.4048   |
| 1.1012        | 38.0  | 228  | 1.1459          | 0.4286   |
| 1.0505        | 39.0  | 234  | 1.1918          | 0.4524   |
| 1.0052        | 40.0  | 240  | 1.2662          | 0.4286   |
| 1.0052        | 41.0  | 246  | 1.2165          | 0.4048   |
| 0.9631        | 42.0  | 252  | 1.2235          | 0.4048   |
| 0.9631        | 43.0  | 258  | 1.2235          | 0.4048   |
| 0.9397        | 44.0  | 264  | 1.2235          | 0.4048   |
| 0.9545        | 45.0  | 270  | 1.2235          | 0.4048   |
| 0.9545        | 46.0  | 276  | 1.2235          | 0.4048   |
| 0.9591        | 47.0  | 282  | 1.2235          | 0.4048   |
| 0.9591        | 48.0  | 288  | 1.2235          | 0.4048   |
| 0.9579        | 49.0  | 294  | 1.2235          | 0.4048   |
| 0.9362        | 50.0  | 300  | 1.2235          | 0.4048   |


### 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