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# hushem_5x_deit_base_sgd_00001_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: 1.4123
- Accuracy: 0.1667

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4346        | 1.0   | 28   | 1.4153          | 0.1667   |
| 1.4109        | 2.0   | 56   | 1.4151          | 0.1429   |
| 1.4175        | 3.0   | 84   | 1.4150          | 0.1429   |
| 1.4323        | 4.0   | 112  | 1.4149          | 0.1429   |
| 1.4583        | 5.0   | 140  | 1.4148          | 0.1429   |
| 1.4358        | 6.0   | 168  | 1.4146          | 0.1429   |
| 1.4494        | 7.0   | 196  | 1.4145          | 0.1429   |
| 1.4285        | 8.0   | 224  | 1.4144          | 0.1429   |
| 1.4244        | 9.0   | 252  | 1.4143          | 0.1429   |
| 1.4228        | 10.0  | 280  | 1.4142          | 0.1429   |
| 1.4286        | 11.0  | 308  | 1.4141          | 0.1429   |
| 1.4283        | 12.0  | 336  | 1.4140          | 0.1429   |
| 1.4138        | 13.0  | 364  | 1.4139          | 0.1429   |
| 1.4095        | 14.0  | 392  | 1.4138          | 0.1429   |
| 1.4337        | 15.0  | 420  | 1.4137          | 0.1429   |
| 1.4551        | 16.0  | 448  | 1.4136          | 0.1429   |
| 1.447         | 17.0  | 476  | 1.4135          | 0.1429   |
| 1.4176        | 18.0  | 504  | 1.4134          | 0.1667   |
| 1.4339        | 19.0  | 532  | 1.4134          | 0.1667   |
| 1.4259        | 20.0  | 560  | 1.4133          | 0.1667   |
| 1.4112        | 21.0  | 588  | 1.4132          | 0.1667   |
| 1.4108        | 22.0  | 616  | 1.4131          | 0.1667   |
| 1.4336        | 23.0  | 644  | 1.4131          | 0.1667   |
| 1.4239        | 24.0  | 672  | 1.4130          | 0.1667   |
| 1.4464        | 25.0  | 700  | 1.4130          | 0.1667   |
| 1.4393        | 26.0  | 728  | 1.4129          | 0.1667   |
| 1.4057        | 27.0  | 756  | 1.4129          | 0.1667   |
| 1.433         | 28.0  | 784  | 1.4128          | 0.1667   |
| 1.4342        | 29.0  | 812  | 1.4128          | 0.1667   |
| 1.4798        | 30.0  | 840  | 1.4127          | 0.1667   |
| 1.4269        | 31.0  | 868  | 1.4127          | 0.1667   |
| 1.432         | 32.0  | 896  | 1.4126          | 0.1667   |
| 1.4028        | 33.0  | 924  | 1.4126          | 0.1667   |
| 1.4121        | 34.0  | 952  | 1.4125          | 0.1667   |
| 1.4327        | 35.0  | 980  | 1.4125          | 0.1667   |
| 1.4094        | 36.0  | 1008 | 1.4125          | 0.1667   |
| 1.4345        | 37.0  | 1036 | 1.4125          | 0.1667   |
| 1.431         | 38.0  | 1064 | 1.4124          | 0.1667   |
| 1.4318        | 39.0  | 1092 | 1.4124          | 0.1667   |
| 1.4429        | 40.0  | 1120 | 1.4124          | 0.1667   |
| 1.4245        | 41.0  | 1148 | 1.4124          | 0.1667   |
| 1.4194        | 42.0  | 1176 | 1.4124          | 0.1667   |
| 1.4301        | 43.0  | 1204 | 1.4123          | 0.1667   |
| 1.4429        | 44.0  | 1232 | 1.4123          | 0.1667   |
| 1.4185        | 45.0  | 1260 | 1.4123          | 0.1667   |
| 1.4323        | 46.0  | 1288 | 1.4123          | 0.1667   |
| 1.4214        | 47.0  | 1316 | 1.4123          | 0.1667   |
| 1.3979        | 48.0  | 1344 | 1.4123          | 0.1667   |
| 1.4318        | 49.0  | 1372 | 1.4123          | 0.1667   |
| 1.4427        | 50.0  | 1400 | 1.4123          | 0.1667   |


### 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