
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# hushem_5x_deit_base_rms_001_fold4

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: 1.5631
- Accuracy: 0.5714

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.0608        | 1.0   | 28   | 1.9020          | 0.2381   |
| 1.4315        | 2.0   | 56   | 1.5135          | 0.2619   |
| 1.432         | 3.0   | 84   | 1.3985          | 0.2143   |
| 1.6812        | 4.0   | 112  | 1.3928          | 0.2381   |
| 1.4086        | 5.0   | 140  | 1.5942          | 0.2619   |
| 1.4209        | 6.0   | 168  | 1.4007          | 0.2619   |
| 1.3906        | 7.0   | 196  | 1.3455          | 0.2857   |
| 1.3856        | 8.0   | 224  | 1.3904          | 0.3571   |
| 1.3883        | 9.0   | 252  | 1.5074          | 0.2619   |
| 1.3911        | 10.0  | 280  | 1.3463          | 0.3095   |
| 1.321         | 11.0  | 308  | 1.3274          | 0.4048   |
| 1.376         | 12.0  | 336  | 1.3115          | 0.5      |
| 1.321         | 13.0  | 364  | 1.3257          | 0.3333   |
| 1.2442        | 14.0  | 392  | 1.1218          | 0.5476   |
| 1.0941        | 15.0  | 420  | 1.2997          | 0.4286   |
| 1.1363        | 16.0  | 448  | 1.5465          | 0.4524   |
| 1.0638        | 17.0  | 476  | 0.9343          | 0.5952   |
| 1.0907        | 18.0  | 504  | 0.9902          | 0.5476   |
| 0.9963        | 19.0  | 532  | 0.8437          | 0.6190   |
| 1.0331        | 20.0  | 560  | 0.8320          | 0.6905   |
| 0.9883        | 21.0  | 588  | 1.0947          | 0.5714   |
| 0.9803        | 22.0  | 616  | 0.9089          | 0.5238   |
| 1.0008        | 23.0  | 644  | 0.8555          | 0.5952   |
| 0.9928        | 24.0  | 672  | 0.9537          | 0.5952   |
| 0.8708        | 25.0  | 700  | 0.9389          | 0.5476   |
| 0.8901        | 26.0  | 728  | 0.9330          | 0.5476   |
| 0.9805        | 27.0  | 756  | 1.0992          | 0.5476   |
| 0.9571        | 28.0  | 784  | 0.8585          | 0.5714   |
| 0.9235        | 29.0  | 812  | 0.9983          | 0.5476   |
| 0.906         | 30.0  | 840  | 0.8224          | 0.6667   |
| 0.9028        | 31.0  | 868  | 0.8413          | 0.5952   |
| 0.8341        | 32.0  | 896  | 0.8590          | 0.5714   |
| 0.8295        | 33.0  | 924  | 0.8367          | 0.6190   |
| 0.8624        | 34.0  | 952  | 0.8792          | 0.6429   |
| 0.813         | 35.0  | 980  | 0.8895          | 0.6190   |
| 0.7546        | 36.0  | 1008 | 0.9894          | 0.6190   |
| 0.7656        | 37.0  | 1036 | 0.9036          | 0.6429   |
| 0.7105        | 38.0  | 1064 | 0.9485          | 0.6190   |
| 0.6814        | 39.0  | 1092 | 1.0142          | 0.6667   |
| 0.6664        | 40.0  | 1120 | 0.9173          | 0.5238   |
| 0.6217        | 41.0  | 1148 | 1.2127          | 0.5476   |
| 0.6416        | 42.0  | 1176 | 0.9635          | 0.7143   |
| 0.5292        | 43.0  | 1204 | 0.9897          | 0.5952   |
| 0.4807        | 44.0  | 1232 | 1.1192          | 0.5714   |
| 0.3893        | 45.0  | 1260 | 1.3046          | 0.6190   |
| 0.4239        | 46.0  | 1288 | 1.5151          | 0.5952   |
| 0.3386        | 47.0  | 1316 | 1.5298          | 0.5714   |
| 0.3111        | 48.0  | 1344 | 1.5630          | 0.5714   |
| 0.2905        | 49.0  | 1372 | 1.5631          | 0.5714   |
| 0.3033        | 50.0  | 1400 | 1.5631          | 0.5714   |


### 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