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# hushem_1x_deit_small_rms_0001_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: 2.4160
- Accuracy: 0.5952

## 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    | 2.4234          | 0.2619   |
| 2.1235        | 2.0   | 12   | 1.6901          | 0.2381   |
| 2.1235        | 3.0   | 18   | 1.6241          | 0.2619   |
| 1.5609        | 4.0   | 24   | 1.4045          | 0.2381   |
| 1.4894        | 5.0   | 30   | 1.3850          | 0.2619   |
| 1.4894        | 6.0   | 36   | 1.4265          | 0.2619   |
| 1.443         | 7.0   | 42   | 1.3761          | 0.4286   |
| 1.443         | 8.0   | 48   | 1.3894          | 0.2857   |
| 1.4117        | 9.0   | 54   | 1.3579          | 0.2619   |
| 1.4179        | 10.0  | 60   | 1.3731          | 0.2381   |
| 1.4179        | 11.0  | 66   | 1.2327          | 0.3571   |
| 1.3285        | 12.0  | 72   | 1.3528          | 0.3095   |
| 1.3285        | 13.0  | 78   | 1.0099          | 0.6429   |
| 1.188         | 14.0  | 84   | 1.0249          | 0.5476   |
| 1.013         | 15.0  | 90   | 1.0156          | 0.4762   |
| 1.013         | 16.0  | 96   | 1.1277          | 0.5476   |
| 0.7705        | 17.0  | 102  | 1.0504          | 0.5238   |
| 0.7705        | 18.0  | 108  | 1.2933          | 0.5238   |
| 0.8013        | 19.0  | 114  | 1.2536          | 0.5238   |
| 0.4428        | 20.0  | 120  | 1.7547          | 0.5476   |
| 0.4428        | 21.0  | 126  | 1.4286          | 0.5      |
| 0.3007        | 22.0  | 132  | 1.5184          | 0.5714   |
| 0.3007        | 23.0  | 138  | 1.6958          | 0.5714   |
| 0.209         | 24.0  | 144  | 2.1697          | 0.5238   |
| 0.0896        | 25.0  | 150  | 2.0909          | 0.6190   |
| 0.0896        | 26.0  | 156  | 2.2304          | 0.5952   |
| 0.0492        | 27.0  | 162  | 2.2787          | 0.5952   |
| 0.0492        | 28.0  | 168  | 2.0038          | 0.6667   |
| 0.0152        | 29.0  | 174  | 2.0666          | 0.6667   |
| 0.0011        | 30.0  | 180  | 2.1829          | 0.6190   |
| 0.0011        | 31.0  | 186  | 2.2393          | 0.6429   |
| 0.0006        | 32.0  | 192  | 2.2827          | 0.6190   |
| 0.0006        | 33.0  | 198  | 2.3132          | 0.6190   |
| 0.0005        | 34.0  | 204  | 2.3363          | 0.6190   |
| 0.0004        | 35.0  | 210  | 2.3564          | 0.6190   |
| 0.0004        | 36.0  | 216  | 2.3732          | 0.6190   |
| 0.0004        | 37.0  | 222  | 2.3884          | 0.6190   |
| 0.0004        | 38.0  | 228  | 2.3988          | 0.6190   |
| 0.0004        | 39.0  | 234  | 2.4073          | 0.5952   |
| 0.0003        | 40.0  | 240  | 2.4126          | 0.5952   |
| 0.0003        | 41.0  | 246  | 2.4153          | 0.5952   |
| 0.0003        | 42.0  | 252  | 2.4160          | 0.5952   |
| 0.0003        | 43.0  | 258  | 2.4160          | 0.5952   |
| 0.0003        | 44.0  | 264  | 2.4160          | 0.5952   |
| 0.0003        | 45.0  | 270  | 2.4160          | 0.5952   |
| 0.0003        | 46.0  | 276  | 2.4160          | 0.5952   |
| 0.0003        | 47.0  | 282  | 2.4160          | 0.5952   |
| 0.0003        | 48.0  | 288  | 2.4160          | 0.5952   |
| 0.0003        | 49.0  | 294  | 2.4160          | 0.5952   |
| 0.0003        | 50.0  | 300  | 2.4160          | 0.5952   |


### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1

01_normal 02_tapered 03_pyriform 04_amorphous