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# hushem_5x_deit_tiny_sgd_001_fold3

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: 1.0019
- Accuracy: 0.5581

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5059        | 1.0   | 28   | 1.5596          | 0.3023   |
| 1.3905        | 2.0   | 56   | 1.4722          | 0.3023   |
| 1.3398        | 3.0   | 84   | 1.4240          | 0.3023   |
| 1.3159        | 4.0   | 112  | 1.3834          | 0.3488   |
| 1.2162        | 5.0   | 140  | 1.3509          | 0.3721   |
| 1.2552        | 6.0   | 168  | 1.3214          | 0.3721   |
| 1.2492        | 7.0   | 196  | 1.3011          | 0.3721   |
| 1.2051        | 8.0   | 224  | 1.2801          | 0.3953   |
| 1.1592        | 9.0   | 252  | 1.2612          | 0.3953   |
| 1.1549        | 10.0  | 280  | 1.2440          | 0.3953   |
| 1.1103        | 11.0  | 308  | 1.2292          | 0.3953   |
| 1.1084        | 12.0  | 336  | 1.2159          | 0.3953   |
| 1.0301        | 13.0  | 364  | 1.2021          | 0.3953   |
| 1.0455        | 14.0  | 392  | 1.1867          | 0.4419   |
| 1.0462        | 15.0  | 420  | 1.1750          | 0.4419   |
| 1.0114        | 16.0  | 448  | 1.1653          | 0.4419   |
| 0.9862        | 17.0  | 476  | 1.1504          | 0.4651   |
| 0.9557        | 18.0  | 504  | 1.1422          | 0.4651   |
| 0.9635        | 19.0  | 532  | 1.1339          | 0.4651   |
| 0.9341        | 20.0  | 560  | 1.1250          | 0.4419   |
| 0.9142        | 21.0  | 588  | 1.1124          | 0.4651   |
| 0.9058        | 22.0  | 616  | 1.1036          | 0.4651   |
| 0.9242        | 23.0  | 644  | 1.0941          | 0.4884   |
| 0.8383        | 24.0  | 672  | 1.0875          | 0.5349   |
| 0.9017        | 25.0  | 700  | 1.0842          | 0.5116   |
| 0.8456        | 26.0  | 728  | 1.0767          | 0.5349   |
| 0.8584        | 27.0  | 756  | 1.0674          | 0.5349   |
| 0.8615        | 28.0  | 784  | 1.0594          | 0.5349   |
| 0.8302        | 29.0  | 812  | 1.0523          | 0.5581   |
| 0.8218        | 30.0  | 840  | 1.0467          | 0.5581   |
| 0.7666        | 31.0  | 868  | 1.0425          | 0.5581   |
| 0.8374        | 32.0  | 896  | 1.0358          | 0.5581   |
| 0.8102        | 33.0  | 924  | 1.0386          | 0.5581   |
| 0.803         | 34.0  | 952  | 1.0300          | 0.5581   |
| 0.8593        | 35.0  | 980  | 1.0290          | 0.5349   |
| 0.781         | 36.0  | 1008 | 1.0257          | 0.5349   |
| 0.769         | 37.0  | 1036 | 1.0205          | 0.5349   |
| 0.7568        | 38.0  | 1064 | 1.0221          | 0.5349   |
| 0.7521        | 39.0  | 1092 | 1.0159          | 0.5349   |
| 0.7774        | 40.0  | 1120 | 1.0130          | 0.5349   |
| 0.7906        | 41.0  | 1148 | 1.0102          | 0.5349   |
| 0.7478        | 42.0  | 1176 | 1.0092          | 0.5349   |
| 0.7422        | 43.0  | 1204 | 1.0064          | 0.5349   |
| 0.7561        | 44.0  | 1232 | 1.0041          | 0.5349   |
| 0.7139        | 45.0  | 1260 | 1.0022          | 0.5349   |
| 0.7352        | 46.0  | 1288 | 1.0021          | 0.5581   |
| 0.7448        | 47.0  | 1316 | 1.0021          | 0.5581   |
| 0.7592        | 48.0  | 1344 | 1.0020          | 0.5581   |
| 0.7313        | 49.0  | 1372 | 1.0019          | 0.5581   |
| 0.6642        | 50.0  | 1400 | 1.0019          | 0.5581   |


### 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