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# hushem_1x_deit_tiny_rms_0001_fold5

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: 1.7903
- Accuracy: 0.6098

## 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    | 1.6663          | 0.2683   |
| 2.1037        | 2.0   | 12   | 1.5022          | 0.2439   |
| 2.1037        | 3.0   | 18   | 1.3886          | 0.2439   |
| 1.5578        | 4.0   | 24   | 1.5306          | 0.2683   |
| 1.3692        | 5.0   | 30   | 1.1860          | 0.4390   |
| 1.3692        | 6.0   | 36   | 1.1738          | 0.4634   |
| 1.2281        | 7.0   | 42   | 1.1634          | 0.4146   |
| 1.2281        | 8.0   | 48   | 1.0062          | 0.4878   |
| 1.0442        | 9.0   | 54   | 1.0814          | 0.5366   |
| 0.7932        | 10.0  | 60   | 1.0549          | 0.5366   |
| 0.7932        | 11.0  | 66   | 1.1757          | 0.5610   |
| 0.3677        | 12.0  | 72   | 1.3513          | 0.6829   |
| 0.3677        | 13.0  | 78   | 1.1722          | 0.6098   |
| 0.2156        | 14.0  | 84   | 1.5096          | 0.5854   |
| 0.0882        | 15.0  | 90   | 1.2491          | 0.6341   |
| 0.0882        | 16.0  | 96   | 1.4974          | 0.6098   |
| 0.0242        | 17.0  | 102  | 1.6715          | 0.6341   |
| 0.0242        | 18.0  | 108  | 1.6860          | 0.5854   |
| 0.0023        | 19.0  | 114  | 1.6856          | 0.5854   |
| 0.0006        | 20.0  | 120  | 1.6918          | 0.5854   |
| 0.0006        | 21.0  | 126  | 1.7001          | 0.5854   |
| 0.0004        | 22.0  | 132  | 1.7120          | 0.5854   |
| 0.0004        | 23.0  | 138  | 1.7178          | 0.5854   |
| 0.0003        | 24.0  | 144  | 1.7236          | 0.6098   |
| 0.0003        | 25.0  | 150  | 1.7313          | 0.6098   |
| 0.0003        | 26.0  | 156  | 1.7370          | 0.6098   |
| 0.0002        | 27.0  | 162  | 1.7449          | 0.6098   |
| 0.0002        | 28.0  | 168  | 1.7492          | 0.6098   |
| 0.0002        | 29.0  | 174  | 1.7547          | 0.6098   |
| 0.0002        | 30.0  | 180  | 1.7601          | 0.6098   |
| 0.0002        | 31.0  | 186  | 1.7659          | 0.6098   |
| 0.0002        | 32.0  | 192  | 1.7694          | 0.6098   |
| 0.0002        | 33.0  | 198  | 1.7734          | 0.6098   |
| 0.0002        | 34.0  | 204  | 1.7771          | 0.6098   |
| 0.0002        | 35.0  | 210  | 1.7802          | 0.6098   |
| 0.0002        | 36.0  | 216  | 1.7829          | 0.6098   |
| 0.0002        | 37.0  | 222  | 1.7850          | 0.6098   |
| 0.0002        | 38.0  | 228  | 1.7868          | 0.6098   |
| 0.0002        | 39.0  | 234  | 1.7883          | 0.6098   |
| 0.0001        | 40.0  | 240  | 1.7895          | 0.6098   |
| 0.0001        | 41.0  | 246  | 1.7900          | 0.6098   |
| 0.0002        | 42.0  | 252  | 1.7903          | 0.6098   |
| 0.0002        | 43.0  | 258  | 1.7903          | 0.6098   |
| 0.0002        | 44.0  | 264  | 1.7903          | 0.6098   |
| 0.0002        | 45.0  | 270  | 1.7903          | 0.6098   |
| 0.0002        | 46.0  | 276  | 1.7903          | 0.6098   |
| 0.0002        | 47.0  | 282  | 1.7903          | 0.6098   |
| 0.0002        | 48.0  | 288  | 1.7903          | 0.6098   |
| 0.0002        | 49.0  | 294  | 1.7903          | 0.6098   |
| 0.0001        | 50.0  | 300  | 1.7903          | 0.6098   |


### 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