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# hushem_40x_deit_tiny_rms_001_fold2

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: 8.4415
- Accuracy: 0.4

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2259        | 1.0   | 215   | 1.1893          | 0.3778   |
| 0.7887        | 2.0   | 430   | 1.7800          | 0.3778   |
| 0.6967        | 3.0   | 645   | 1.8757          | 0.4667   |
| 0.6862        | 4.0   | 860   | 1.9414          | 0.4444   |
| 0.4924        | 5.0   | 1075  | 1.8919          | 0.4444   |
| 0.5712        | 6.0   | 1290  | 1.8316          | 0.5111   |
| 0.4554        | 7.0   | 1505  | 2.6959          | 0.5111   |
| 0.3791        | 8.0   | 1720  | 3.2703          | 0.4889   |
| 0.2815        | 9.0   | 1935  | 2.8206          | 0.4222   |
| 0.3229        | 10.0  | 2150  | 2.1796          | 0.3778   |
| 0.2732        | 11.0  | 2365  | 2.6937          | 0.4222   |
| 0.2161        | 12.0  | 2580  | 2.7085          | 0.4      |
| 0.2247        | 13.0  | 2795  | 2.7907          | 0.5556   |
| 0.1656        | 14.0  | 3010  | 3.5588          | 0.5111   |
| 0.2252        | 15.0  | 3225  | 3.4710          | 0.4667   |
| 0.1912        | 16.0  | 3440  | 4.0799          | 0.4667   |
| 0.2296        | 17.0  | 3655  | 3.3917          | 0.5778   |
| 0.0717        | 18.0  | 3870  | 5.2253          | 0.4222   |
| 0.0776        | 19.0  | 4085  | 4.4474          | 0.4667   |
| 0.0565        | 20.0  | 4300  | 5.1424          | 0.4222   |
| 0.0848        | 21.0  | 4515  | 4.9397          | 0.4667   |
| 0.0607        | 22.0  | 4730  | 4.6748          | 0.4667   |
| 0.0626        | 23.0  | 4945  | 5.0805          | 0.4889   |
| 0.0796        | 24.0  | 5160  | 5.0210          | 0.4444   |
| 0.0786        | 25.0  | 5375  | 5.7741          | 0.4667   |
| 0.011         | 26.0  | 5590  | 4.7102          | 0.5333   |
| 0.0247        | 27.0  | 5805  | 5.9220          | 0.4444   |
| 0.0051        | 28.0  | 6020  | 6.4658          | 0.4222   |
| 0.0246        | 29.0  | 6235  | 5.3041          | 0.5111   |
| 0.025         | 30.0  | 6450  | 5.4166          | 0.5333   |
| 0.0321        | 31.0  | 6665  | 5.7245          | 0.4444   |
| 0.0467        | 32.0  | 6880  | 5.9082          | 0.5111   |
| 0.0354        | 33.0  | 7095  | 5.7199          | 0.4667   |
| 0.0267        | 34.0  | 7310  | 6.9737          | 0.4444   |
| 0.0012        | 35.0  | 7525  | 6.7506          | 0.4222   |
| 0.0014        | 36.0  | 7740  | 7.0113          | 0.4222   |
| 0.0151        | 37.0  | 7955  | 6.8314          | 0.4444   |
| 0.0325        | 38.0  | 8170  | 6.8690          | 0.4444   |
| 0.0           | 39.0  | 8385  | 6.9350          | 0.4667   |
| 0.0006        | 40.0  | 8600  | 7.6894          | 0.4444   |
| 0.0001        | 41.0  | 8815  | 7.8369          | 0.4222   |
| 0.0001        | 42.0  | 9030  | 7.3604          | 0.4      |
| 0.0           | 43.0  | 9245  | 7.8724          | 0.3778   |
| 0.0           | 44.0  | 9460  | 7.8044          | 0.3333   |
| 0.0           | 45.0  | 9675  | 8.3094          | 0.4      |
| 0.001         | 46.0  | 9890  | 8.3688          | 0.4      |
| 0.0018        | 47.0  | 10105 | 8.4135          | 0.4      |
| 0.0           | 48.0  | 10320 | 8.3955          | 0.4      |
| 0.0           | 49.0  | 10535 | 8.4293          | 0.4      |
| 0.0           | 50.0  | 10750 | 8.4415          | 0.4      |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.1+cu121
- Datasets 2.12.0
- Tokenizers 0.13.2

01_normal 02_tapered 03_pyriform 04_amorphous