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# hushem_1x_deit_base_adamax_001_fold2

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: 2.6061
- Accuracy: 0.6

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 6    | 1.4006          | 0.4667   |
| 2.0073        | 2.0   | 12   | 1.4185          | 0.2444   |
| 2.0073        | 3.0   | 18   | 1.8021          | 0.2444   |
| 1.3793        | 4.0   | 24   | 1.3019          | 0.2889   |
| 1.3619        | 5.0   | 30   | 1.2559          | 0.4222   |
| 1.3619        | 6.0   | 36   | 1.3762          | 0.3556   |
| 1.2354        | 7.0   | 42   | 1.1026          | 0.5333   |
| 1.2354        | 8.0   | 48   | 1.3770          | 0.3556   |
| 1.116         | 9.0   | 54   | 1.3199          | 0.3333   |
| 1.2825        | 10.0  | 60   | 1.2535          | 0.4444   |
| 1.2825        | 11.0  | 66   | 0.9621          | 0.5333   |
| 1.0651        | 12.0  | 72   | 1.0556          | 0.5778   |
| 1.0651        | 13.0  | 78   | 1.1244          | 0.4889   |
| 0.8879        | 14.0  | 84   | 1.1678          | 0.4889   |
| 0.7249        | 15.0  | 90   | 1.1215          | 0.5778   |
| 0.7249        | 16.0  | 96   | 1.2306          | 0.5333   |
| 0.5807        | 17.0  | 102  | 1.9201          | 0.5333   |
| 0.5807        | 18.0  | 108  | 2.0291          | 0.4667   |
| 0.5755        | 19.0  | 114  | 2.7334          | 0.5333   |
| 0.7966        | 20.0  | 120  | 1.6804          | 0.5111   |
| 0.7966        | 21.0  | 126  | 2.2911          | 0.4444   |
| 0.7407        | 22.0  | 132  | 1.3830          | 0.5333   |
| 0.7407        | 23.0  | 138  | 1.5155          | 0.5556   |
| 0.3047        | 24.0  | 144  | 1.6845          | 0.4889   |
| 0.2535        | 25.0  | 150  | 1.8110          | 0.4889   |
| 0.2535        | 26.0  | 156  | 1.9764          | 0.5111   |
| 0.4369        | 27.0  | 162  | 1.6350          | 0.4889   |
| 0.4369        | 28.0  | 168  | 2.4101          | 0.5111   |
| 0.2888        | 29.0  | 174  | 2.3032          | 0.4889   |
| 0.3277        | 30.0  | 180  | 1.7523          | 0.5556   |
| 0.3277        | 31.0  | 186  | 1.6541          | 0.6      |
| 0.1303        | 32.0  | 192  | 2.1471          | 0.5333   |
| 0.1303        | 33.0  | 198  | 2.1714          | 0.5556   |
| 0.0771        | 34.0  | 204  | 2.1399          | 0.5778   |
| 0.0588        | 35.0  | 210  | 2.1914          | 0.5778   |
| 0.0588        | 36.0  | 216  | 2.2720          | 0.5778   |
| 0.0221        | 37.0  | 222  | 2.4076          | 0.5778   |
| 0.0221        | 38.0  | 228  | 2.4716          | 0.5556   |
| 0.0111        | 39.0  | 234  | 2.5364          | 0.5556   |
| 0.0075        | 40.0  | 240  | 2.5792          | 0.6      |
| 0.0075        | 41.0  | 246  | 2.6027          | 0.6      |
| 0.0045        | 42.0  | 252  | 2.6061          | 0.6      |
| 0.0045        | 43.0  | 258  | 2.6061          | 0.6      |
| 0.003         | 44.0  | 264  | 2.6061          | 0.6      |
| 0.0047        | 45.0  | 270  | 2.6061          | 0.6      |
| 0.0047        | 46.0  | 276  | 2.6061          | 0.6      |
| 0.0042        | 47.0  | 282  | 2.6061          | 0.6      |
| 0.0042        | 48.0  | 288  | 2.6061          | 0.6      |
| 0.0037        | 49.0  | 294  | 2.6061          | 0.6      |
| 0.0043        | 50.0  | 300  | 2.6061          | 0.6      |


### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1

01_normal 02_tapered 03_pyriform 04_amorphous