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# hushem_5x_deit_base_adamax_00001_fold3

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: 0.4419
- Accuracy: 0.8372

## 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: 1e-05
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3275        | 1.0   | 28   | 1.2372          | 0.5814   |
| 1.0641        | 2.0   | 56   | 1.0484          | 0.6977   |
| 0.7591        | 3.0   | 84   | 0.8760          | 0.7442   |
| 0.5652        | 4.0   | 112  | 0.7360          | 0.8140   |
| 0.3906        | 5.0   | 140  | 0.6489          | 0.8372   |
| 0.3059        | 6.0   | 168  | 0.5954          | 0.8605   |
| 0.1994        | 7.0   | 196  | 0.5269          | 0.8372   |
| 0.134         | 8.0   | 224  | 0.5174          | 0.8605   |
| 0.0783        | 9.0   | 252  | 0.4602          | 0.8605   |
| 0.0454        | 10.0  | 280  | 0.4569          | 0.8372   |
| 0.0318        | 11.0  | 308  | 0.4393          | 0.8837   |
| 0.018         | 12.0  | 336  | 0.4222          | 0.8605   |
| 0.0132        | 13.0  | 364  | 0.4453          | 0.8837   |
| 0.0088        | 14.0  | 392  | 0.4098          | 0.8837   |
| 0.0068        | 15.0  | 420  | 0.4226          | 0.8605   |
| 0.0058        | 16.0  | 448  | 0.4268          | 0.8605   |
| 0.0055        | 17.0  | 476  | 0.4132          | 0.8605   |
| 0.0045        | 18.0  | 504  | 0.4342          | 0.8605   |
| 0.004         | 19.0  | 532  | 0.4228          | 0.8605   |
| 0.0033        | 20.0  | 560  | 0.4271          | 0.8372   |
| 0.0033        | 21.0  | 588  | 0.4254          | 0.8372   |
| 0.0029        | 22.0  | 616  | 0.4205          | 0.8372   |
| 0.0027        | 23.0  | 644  | 0.4207          | 0.8372   |
| 0.0024        | 24.0  | 672  | 0.4248          | 0.8605   |
| 0.0022        | 25.0  | 700  | 0.4229          | 0.8372   |
| 0.0021        | 26.0  | 728  | 0.4293          | 0.8372   |
| 0.002         | 27.0  | 756  | 0.4267          | 0.8372   |
| 0.002         | 28.0  | 784  | 0.4239          | 0.8605   |
| 0.0018        | 29.0  | 812  | 0.4273          | 0.8372   |
| 0.0018        | 30.0  | 840  | 0.4313          | 0.8372   |
| 0.0016        | 31.0  | 868  | 0.4289          | 0.8372   |
| 0.0016        | 32.0  | 896  | 0.4329          | 0.8372   |
| 0.0016        | 33.0  | 924  | 0.4313          | 0.8372   |
| 0.0014        | 34.0  | 952  | 0.4362          | 0.8372   |
| 0.0016        | 35.0  | 980  | 0.4336          | 0.8372   |
| 0.0014        | 36.0  | 1008 | 0.4353          | 0.8372   |
| 0.0014        | 37.0  | 1036 | 0.4446          | 0.8372   |
| 0.0013        | 38.0  | 1064 | 0.4482          | 0.8372   |
| 0.0013        | 39.0  | 1092 | 0.4496          | 0.8372   |
| 0.0012        | 40.0  | 1120 | 0.4442          | 0.8372   |
| 0.0013        | 41.0  | 1148 | 0.4456          | 0.8372   |
| 0.0013        | 42.0  | 1176 | 0.4450          | 0.8372   |
| 0.0012        | 43.0  | 1204 | 0.4433          | 0.8372   |
| 0.0012        | 44.0  | 1232 | 0.4424          | 0.8372   |
| 0.0011        | 45.0  | 1260 | 0.4418          | 0.8372   |
| 0.0011        | 46.0  | 1288 | 0.4417          | 0.8372   |
| 0.0011        | 47.0  | 1316 | 0.4421          | 0.8372   |
| 0.0011        | 48.0  | 1344 | 0.4419          | 0.8372   |
| 0.0011        | 49.0  | 1372 | 0.4419          | 0.8372   |
| 0.0011        | 50.0  | 1400 | 0.4419          | 0.8372   |


### 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