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# hushem_1x_deit_base_rms_001_fold1

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: 2.0515
- Accuracy: 0.4444

## 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    | 5.7295          | 0.2444   |
| 3.8216        | 2.0   | 12   | 3.3899          | 0.2444   |
| 3.8216        | 3.0   | 18   | 1.9221          | 0.2444   |
| 2.0397        | 4.0   | 24   | 1.5517          | 0.2667   |
| 1.7061        | 5.0   | 30   | 1.6113          | 0.2444   |
| 1.7061        | 6.0   | 36   | 1.5745          | 0.2667   |
| 1.5185        | 7.0   | 42   | 1.5819          | 0.2444   |
| 1.5185        | 8.0   | 48   | 1.5544          | 0.2667   |
| 1.5399        | 9.0   | 54   | 1.4265          | 0.2667   |
| 1.4704        | 10.0  | 60   | 1.4555          | 0.2444   |
| 1.4704        | 11.0  | 66   | 1.5190          | 0.2667   |
| 1.4477        | 12.0  | 72   | 1.4505          | 0.2444   |
| 1.4477        | 13.0  | 78   | 1.4958          | 0.2667   |
| 1.4478        | 14.0  | 84   | 1.3383          | 0.2667   |
| 1.4577        | 15.0  | 90   | 1.2186          | 0.4444   |
| 1.4577        | 16.0  | 96   | 1.3020          | 0.4      |
| 1.4812        | 17.0  | 102  | 1.3485          | 0.3333   |
| 1.4812        | 18.0  | 108  | 1.2420          | 0.4889   |
| 1.357         | 19.0  | 114  | 1.5123          | 0.2889   |
| 1.2669        | 20.0  | 120  | 1.0806          | 0.5111   |
| 1.2669        | 21.0  | 126  | 1.2866          | 0.3778   |
| 1.1674        | 22.0  | 132  | 1.2669          | 0.4      |
| 1.1674        | 23.0  | 138  | 1.2024          | 0.4222   |
| 1.0892        | 24.0  | 144  | 1.1560          | 0.5111   |
| 1.1158        | 25.0  | 150  | 1.3838          | 0.4      |
| 1.1158        | 26.0  | 156  | 1.3008          | 0.4667   |
| 0.9418        | 27.0  | 162  | 1.2353          | 0.4667   |
| 0.9418        | 28.0  | 168  | 1.1679          | 0.4667   |
| 0.9251        | 29.0  | 174  | 1.5982          | 0.4      |
| 0.8116        | 30.0  | 180  | 1.4467          | 0.4222   |
| 0.8116        | 31.0  | 186  | 1.4759          | 0.4222   |
| 0.7877        | 32.0  | 192  | 1.7036          | 0.4222   |
| 0.7877        | 33.0  | 198  | 1.5198          | 0.4667   |
| 0.8255        | 34.0  | 204  | 1.6264          | 0.4444   |
| 0.6324        | 35.0  | 210  | 1.5460          | 0.4444   |
| 0.6324        | 36.0  | 216  | 1.7519          | 0.4444   |
| 0.6569        | 37.0  | 222  | 2.1790          | 0.4222   |
| 0.6569        | 38.0  | 228  | 2.1337          | 0.4667   |
| 0.4724        | 39.0  | 234  | 1.5947          | 0.4889   |
| 0.4698        | 40.0  | 240  | 2.2448          | 0.4444   |
| 0.4698        | 41.0  | 246  | 2.0575          | 0.4444   |
| 0.3953        | 42.0  | 252  | 2.0515          | 0.4444   |
| 0.3953        | 43.0  | 258  | 2.0515          | 0.4444   |
| 0.4352        | 44.0  | 264  | 2.0515          | 0.4444   |
| 0.3453        | 45.0  | 270  | 2.0515          | 0.4444   |
| 0.3453        | 46.0  | 276  | 2.0515          | 0.4444   |
| 0.3689        | 47.0  | 282  | 2.0515          | 0.4444   |
| 0.3689        | 48.0  | 288  | 2.0515          | 0.4444   |
| 0.3565        | 49.0  | 294  | 2.0515          | 0.4444   |
| 0.3737        | 50.0  | 300  | 2.0515          | 0.4444   |


### 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