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# hushem_1x_deit_base_rms_0001_fold2

This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8638
- Accuracy: 0.6889

## 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    | 1.6610          | 0.2444   |
| 1.7541        | 2.0   | 12   | 1.4002          | 0.2444   |
| 1.7541        | 3.0   | 18   | 1.4436          | 0.2444   |
| 1.433         | 4.0   | 24   | 1.3622          | 0.2667   |
| 1.5527        | 5.0   | 30   | 1.5226          | 0.2444   |
| 1.5527        | 6.0   | 36   | 2.8318          | 0.2444   |
| 1.3416        | 7.0   | 42   | 1.1724          | 0.4444   |
| 1.3416        | 8.0   | 48   | 1.1656          | 0.5556   |
| 1.0916        | 9.0   | 54   | 1.1372          | 0.5111   |
| 0.9299        | 10.0  | 60   | 0.9556          | 0.6222   |
| 0.9299        | 11.0  | 66   | 1.2879          | 0.6      |
| 0.4732        | 12.0  | 72   | 1.7343          | 0.5333   |
| 0.4732        | 13.0  | 78   | 1.6688          | 0.6      |
| 0.2619        | 14.0  | 84   | 1.4145          | 0.7333   |
| 0.0705        | 15.0  | 90   | 1.6863          | 0.6889   |
| 0.0705        | 16.0  | 96   | 1.7254          | 0.6889   |
| 0.0008        | 17.0  | 102  | 1.7545          | 0.6889   |
| 0.0008        | 18.0  | 108  | 1.7751          | 0.6889   |
| 0.0006        | 19.0  | 114  | 1.7893          | 0.6889   |
| 0.0004        | 20.0  | 120  | 1.7996          | 0.6889   |
| 0.0004        | 21.0  | 126  | 1.8083          | 0.6889   |
| 0.0003        | 22.0  | 132  | 1.8154          | 0.6889   |
| 0.0003        | 23.0  | 138  | 1.8216          | 0.6889   |
| 0.0003        | 24.0  | 144  | 1.8277          | 0.6889   |
| 0.0002        | 25.0  | 150  | 1.8323          | 0.6889   |
| 0.0002        | 26.0  | 156  | 1.8364          | 0.6889   |
| 0.0002        | 27.0  | 162  | 1.8404          | 0.6889   |
| 0.0002        | 28.0  | 168  | 1.8425          | 0.6889   |
| 0.0002        | 29.0  | 174  | 1.8460          | 0.6889   |
| 0.0002        | 30.0  | 180  | 1.8485          | 0.6889   |
| 0.0002        | 31.0  | 186  | 1.8508          | 0.6889   |
| 0.0002        | 32.0  | 192  | 1.8533          | 0.6889   |
| 0.0002        | 33.0  | 198  | 1.8549          | 0.6889   |
| 0.0002        | 34.0  | 204  | 1.8571          | 0.6889   |
| 0.0002        | 35.0  | 210  | 1.8584          | 0.6889   |
| 0.0002        | 36.0  | 216  | 1.8598          | 0.6889   |
| 0.0001        | 37.0  | 222  | 1.8611          | 0.6889   |
| 0.0001        | 38.0  | 228  | 1.8619          | 0.6889   |
| 0.0001        | 39.0  | 234  | 1.8627          | 0.6889   |
| 0.0001        | 40.0  | 240  | 1.8634          | 0.6889   |
| 0.0001        | 41.0  | 246  | 1.8637          | 0.6889   |
| 0.0001        | 42.0  | 252  | 1.8638          | 0.6889   |
| 0.0001        | 43.0  | 258  | 1.8638          | 0.6889   |
| 0.0001        | 44.0  | 264  | 1.8638          | 0.6889   |
| 0.0001        | 45.0  | 270  | 1.8638          | 0.6889   |
| 0.0001        | 46.0  | 276  | 1.8638          | 0.6889   |
| 0.0001        | 47.0  | 282  | 1.8638          | 0.6889   |
| 0.0001        | 48.0  | 288  | 1.8638          | 0.6889   |
| 0.0001        | 49.0  | 294  | 1.8638          | 0.6889   |
| 0.0001        | 50.0  | 300  | 1.8638          | 0.6889   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

01_normal 02_tapered 03_pyriform 04_amorphous