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# hushem_5x_deit_base_rms_001_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: 4.1290
- Accuracy: 0.5349

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.2595        | 1.0   | 28   | 2.7858          | 0.2558   |
| 1.4501        | 2.0   | 56   | 1.7856          | 0.2558   |
| 1.3782        | 3.0   | 84   | 1.3873          | 0.3721   |
| 1.2094        | 4.0   | 112  | 1.1943          | 0.3953   |
| 1.0231        | 5.0   | 140  | 1.6338          | 0.3023   |
| 1.0191        | 6.0   | 168  | 1.7056          | 0.2558   |
| 1.0547        | 7.0   | 196  | 1.1755          | 0.4884   |
| 1.0296        | 8.0   | 224  | 1.0491          | 0.5349   |
| 1.0202        | 9.0   | 252  | 2.3436          | 0.2791   |
| 1.0203        | 10.0  | 280  | 1.0971          | 0.4419   |
| 0.9795        | 11.0  | 308  | 1.0790          | 0.5581   |
| 0.955         | 12.0  | 336  | 1.4547          | 0.6047   |
| 0.9606        | 13.0  | 364  | 0.9445          | 0.6512   |
| 0.9236        | 14.0  | 392  | 1.2878          | 0.3721   |
| 0.9401        | 15.0  | 420  | 0.9664          | 0.4651   |
| 0.8825        | 16.0  | 448  | 0.9455          | 0.6512   |
| 0.8605        | 17.0  | 476  | 0.9844          | 0.6977   |
| 0.8738        | 18.0  | 504  | 1.1677          | 0.4651   |
| 0.8294        | 19.0  | 532  | 1.0462          | 0.6744   |
| 0.689         | 20.0  | 560  | 1.1927          | 0.6047   |
| 0.7976        | 21.0  | 588  | 1.0142          | 0.7209   |
| 0.741         | 22.0  | 616  | 0.7957          | 0.7907   |
| 0.7475        | 23.0  | 644  | 0.7104          | 0.7209   |
| 0.6791        | 24.0  | 672  | 1.7534          | 0.5349   |
| 0.6457        | 25.0  | 700  | 0.9601          | 0.6512   |
| 0.7254        | 26.0  | 728  | 1.1256          | 0.6279   |
| 0.6589        | 27.0  | 756  | 1.4604          | 0.5349   |
| 0.6888        | 28.0  | 784  | 0.8802          | 0.7209   |
| 0.6341        | 29.0  | 812  | 0.9513          | 0.7442   |
| 0.5815        | 30.0  | 840  | 1.2459          | 0.6047   |
| 0.5918        | 31.0  | 868  | 1.5991          | 0.5116   |
| 0.5623        | 32.0  | 896  | 1.5099          | 0.6279   |
| 0.5389        | 33.0  | 924  | 1.3552          | 0.6744   |
| 0.5523        | 34.0  | 952  | 1.5820          | 0.6279   |
| 0.5205        | 35.0  | 980  | 2.2601          | 0.4651   |
| 0.4888        | 36.0  | 1008 | 1.7684          | 0.5349   |
| 0.4363        | 37.0  | 1036 | 2.2769          | 0.5581   |
| 0.3724        | 38.0  | 1064 | 2.5879          | 0.5581   |
| 0.3349        | 39.0  | 1092 | 2.2241          | 0.5581   |
| 0.5052        | 40.0  | 1120 | 2.8178          | 0.4651   |
| 0.3018        | 41.0  | 1148 | 2.5305          | 0.5814   |
| 0.2857        | 42.0  | 1176 | 2.9348          | 0.5581   |
| 0.1485        | 43.0  | 1204 | 3.1875          | 0.5581   |
| 0.1386        | 44.0  | 1232 | 3.2594          | 0.6279   |
| 0.1242        | 45.0  | 1260 | 3.4524          | 0.5814   |
| 0.0734        | 46.0  | 1288 | 3.6284          | 0.5814   |
| 0.0218        | 47.0  | 1316 | 4.0538          | 0.5349   |
| 0.0226        | 48.0  | 1344 | 4.1281          | 0.5349   |
| 0.01          | 49.0  | 1372 | 4.1290          | 0.5349   |
| 0.0091        | 50.0  | 1400 | 4.1290          | 0.5349   |


### 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