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# hushem_1x_deit_small_rms_0001_fold1

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: 2.9945
- Accuracy: 0.5111

## 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    | 1.6080          | 0.2444   |
| 2.1035        | 2.0   | 12   | 1.4698          | 0.2444   |
| 2.1035        | 3.0   | 18   | 1.4524          | 0.2444   |
| 1.4518        | 4.0   | 24   | 1.3705          | 0.4444   |
| 1.3954        | 5.0   | 30   | 1.3051          | 0.3333   |
| 1.3954        | 6.0   | 36   | 1.7248          | 0.2444   |
| 1.3016        | 7.0   | 42   | 1.2877          | 0.4444   |
| 1.3016        | 8.0   | 48   | 1.2531          | 0.3111   |
| 1.1687        | 9.0   | 54   | 2.0909          | 0.3333   |
| 1.0636        | 10.0  | 60   | 1.6618          | 0.4      |
| 1.0636        | 11.0  | 66   | 1.5040          | 0.3778   |
| 0.852         | 12.0  | 72   | 1.6151          | 0.3556   |
| 0.852         | 13.0  | 78   | 1.3188          | 0.4667   |
| 0.6455        | 14.0  | 84   | 1.7023          | 0.4      |
| 0.4371        | 15.0  | 90   | 1.6246          | 0.4889   |
| 0.4371        | 16.0  | 96   | 1.5721          | 0.5111   |
| 0.2911        | 17.0  | 102  | 1.7046          | 0.4889   |
| 0.2911        | 18.0  | 108  | 2.5082          | 0.4889   |
| 0.0854        | 19.0  | 114  | 2.6259          | 0.4444   |
| 0.0965        | 20.0  | 120  | 2.0620          | 0.6      |
| 0.0965        | 21.0  | 126  | 2.2433          | 0.4889   |
| 0.0234        | 22.0  | 132  | 1.7971          | 0.5333   |
| 0.0234        | 23.0  | 138  | 2.3712          | 0.4667   |
| 0.039         | 24.0  | 144  | 1.6644          | 0.6      |
| 0.016         | 25.0  | 150  | 2.8343          | 0.4222   |
| 0.016         | 26.0  | 156  | 2.1232          | 0.5111   |
| 0.0027        | 27.0  | 162  | 2.6607          | 0.4889   |
| 0.0027        | 28.0  | 168  | 2.7233          | 0.4889   |
| 0.0006        | 29.0  | 174  | 2.7692          | 0.4889   |
| 0.0004        | 30.0  | 180  | 2.8123          | 0.5111   |
| 0.0004        | 31.0  | 186  | 2.8470          | 0.5111   |
| 0.0004        | 32.0  | 192  | 2.8799          | 0.5111   |
| 0.0004        | 33.0  | 198  | 2.9035          | 0.5111   |
| 0.0003        | 34.0  | 204  | 2.9241          | 0.5111   |
| 0.0003        | 35.0  | 210  | 2.9413          | 0.5111   |
| 0.0003        | 36.0  | 216  | 2.9570          | 0.5111   |
| 0.0003        | 37.0  | 222  | 2.9705          | 0.5111   |
| 0.0003        | 38.0  | 228  | 2.9803          | 0.5111   |
| 0.0003        | 39.0  | 234  | 2.9868          | 0.5111   |
| 0.0003        | 40.0  | 240  | 2.9915          | 0.5111   |
| 0.0003        | 41.0  | 246  | 2.9938          | 0.5111   |
| 0.0003        | 42.0  | 252  | 2.9945          | 0.5111   |
| 0.0003        | 43.0  | 258  | 2.9945          | 0.5111   |
| 0.0002        | 44.0  | 264  | 2.9945          | 0.5111   |
| 0.0003        | 45.0  | 270  | 2.9945          | 0.5111   |
| 0.0003        | 46.0  | 276  | 2.9945          | 0.5111   |
| 0.0002        | 47.0  | 282  | 2.9945          | 0.5111   |
| 0.0002        | 48.0  | 288  | 2.9945          | 0.5111   |
| 0.0003        | 49.0  | 294  | 2.9945          | 0.5111   |
| 0.0002        | 50.0  | 300  | 2.9945          | 0.5111   |


### 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