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# hushem_5x_beit_base_sgd_00001_fold1

This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5922
- Accuracy: 0.2667

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4867        | 1.0   | 27   | 1.6071          | 0.2667   |
| 1.5392        | 2.0   | 54   | 1.6064          | 0.2667   |
| 1.5844        | 3.0   | 81   | 1.6056          | 0.2667   |
| 1.5797        | 4.0   | 108  | 1.6050          | 0.2667   |
| 1.5108        | 5.0   | 135  | 1.6044          | 0.2667   |
| 1.5236        | 6.0   | 162  | 1.6037          | 0.2667   |
| 1.5199        | 7.0   | 189  | 1.6031          | 0.2667   |
| 1.544         | 8.0   | 216  | 1.6026          | 0.2667   |
| 1.5317        | 9.0   | 243  | 1.6020          | 0.2667   |
| 1.537         | 10.0  | 270  | 1.6014          | 0.2667   |
| 1.5415        | 11.0  | 297  | 1.6010          | 0.2667   |
| 1.5478        | 12.0  | 324  | 1.6004          | 0.2667   |
| 1.4666        | 13.0  | 351  | 1.6000          | 0.2667   |
| 1.5352        | 14.0  | 378  | 1.5995          | 0.2667   |
| 1.478         | 15.0  | 405  | 1.5990          | 0.2667   |
| 1.5333        | 16.0  | 432  | 1.5986          | 0.2667   |
| 1.5245        | 17.0  | 459  | 1.5982          | 0.2667   |
| 1.5379        | 18.0  | 486  | 1.5978          | 0.2667   |
| 1.52          | 19.0  | 513  | 1.5975          | 0.2667   |
| 1.5508        | 20.0  | 540  | 1.5971          | 0.2667   |
| 1.5421        | 21.0  | 567  | 1.5967          | 0.2667   |
| 1.4919        | 22.0  | 594  | 1.5963          | 0.2667   |
| 1.483         | 23.0  | 621  | 1.5960          | 0.2667   |
| 1.5087        | 24.0  | 648  | 1.5957          | 0.2667   |
| 1.5236        | 25.0  | 675  | 1.5954          | 0.2667   |
| 1.5228        | 26.0  | 702  | 1.5951          | 0.2667   |
| 1.5439        | 27.0  | 729  | 1.5949          | 0.2667   |
| 1.5272        | 28.0  | 756  | 1.5946          | 0.2667   |
| 1.5029        | 29.0  | 783  | 1.5943          | 0.2667   |
| 1.5695        | 30.0  | 810  | 1.5941          | 0.2667   |
| 1.5057        | 31.0  | 837  | 1.5939          | 0.2667   |
| 1.5092        | 32.0  | 864  | 1.5937          | 0.2667   |
| 1.575         | 33.0  | 891  | 1.5935          | 0.2667   |
| 1.5175        | 34.0  | 918  | 1.5934          | 0.2667   |
| 1.4801        | 35.0  | 945  | 1.5932          | 0.2667   |
| 1.4771        | 36.0  | 972  | 1.5930          | 0.2667   |
| 1.5042        | 37.0  | 999  | 1.5929          | 0.2667   |
| 1.5372        | 38.0  | 1026 | 1.5928          | 0.2667   |
| 1.5158        | 39.0  | 1053 | 1.5927          | 0.2667   |
| 1.4902        | 40.0  | 1080 | 1.5926          | 0.2667   |
| 1.4904        | 41.0  | 1107 | 1.5925          | 0.2667   |
| 1.4817        | 42.0  | 1134 | 1.5924          | 0.2667   |
| 1.5064        | 43.0  | 1161 | 1.5923          | 0.2667   |
| 1.4625        | 44.0  | 1188 | 1.5923          | 0.2667   |
| 1.5064        | 45.0  | 1215 | 1.5923          | 0.2667   |
| 1.4956        | 46.0  | 1242 | 1.5922          | 0.2667   |
| 1.502         | 47.0  | 1269 | 1.5922          | 0.2667   |
| 1.495         | 48.0  | 1296 | 1.5922          | 0.2667   |
| 1.4896        | 49.0  | 1323 | 1.5922          | 0.2667   |
| 1.5118        | 50.0  | 1350 | 1.5922          | 0.2667   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/beit-base-patch16-224", "model-index": [{"name": "hushem_5x_beit_base_sgd_00001_fold1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.26666666666666666, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors beit image-classification generated_from_trainer dataset:imagefolder base_model:microsoft/beit-base-patch16-224 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us