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# hushem_5x_beit_base_sgd_00001_fold3

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: 1.5681
- Accuracy: 0.2558

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5838        | 1.0   | 28   | 1.5858          | 0.2558   |
| 1.5323        | 2.0   | 56   | 1.5850          | 0.2558   |
| 1.5483        | 3.0   | 84   | 1.5842          | 0.2558   |
| 1.4864        | 4.0   | 112  | 1.5834          | 0.2558   |
| 1.5286        | 5.0   | 140  | 1.5827          | 0.2558   |
| 1.5129        | 6.0   | 168  | 1.5819          | 0.2558   |
| 1.6083        | 7.0   | 196  | 1.5812          | 0.2558   |
| 1.5405        | 8.0   | 224  | 1.5806          | 0.2558   |
| 1.5045        | 9.0   | 252  | 1.5799          | 0.2558   |
| 1.4827        | 10.0  | 280  | 1.5793          | 0.2558   |
| 1.5466        | 11.0  | 308  | 1.5787          | 0.2558   |
| 1.502         | 12.0  | 336  | 1.5780          | 0.2558   |
| 1.5701        | 13.0  | 364  | 1.5775          | 0.2558   |
| 1.5522        | 14.0  | 392  | 1.5769          | 0.2558   |
| 1.6273        | 15.0  | 420  | 1.5763          | 0.2558   |
| 1.5496        | 16.0  | 448  | 1.5758          | 0.2558   |
| 1.5263        | 17.0  | 476  | 1.5753          | 0.2558   |
| 1.5326        | 18.0  | 504  | 1.5748          | 0.2558   |
| 1.5229        | 19.0  | 532  | 1.5744          | 0.2558   |
| 1.6308        | 20.0  | 560  | 1.5739          | 0.2558   |
| 1.5402        | 21.0  | 588  | 1.5734          | 0.2558   |
| 1.5767        | 22.0  | 616  | 1.5730          | 0.2558   |
| 1.546         | 23.0  | 644  | 1.5726          | 0.2558   |
| 1.4997        | 24.0  | 672  | 1.5722          | 0.2558   |
| 1.5699        | 25.0  | 700  | 1.5719          | 0.2558   |
| 1.5518        | 26.0  | 728  | 1.5715          | 0.2558   |
| 1.5078        | 27.0  | 756  | 1.5712          | 0.2558   |
| 1.509         | 28.0  | 784  | 1.5709          | 0.2558   |
| 1.5496        | 29.0  | 812  | 1.5706          | 0.2558   |
| 1.5569        | 30.0  | 840  | 1.5704          | 0.2558   |
| 1.5113        | 31.0  | 868  | 1.5701          | 0.2558   |
| 1.5157        | 32.0  | 896  | 1.5699          | 0.2558   |
| 1.5362        | 33.0  | 924  | 1.5696          | 0.2558   |
| 1.4946        | 34.0  | 952  | 1.5694          | 0.2558   |
| 1.6128        | 35.0  | 980  | 1.5692          | 0.2558   |
| 1.4515        | 36.0  | 1008 | 1.5691          | 0.2558   |
| 1.4956        | 37.0  | 1036 | 1.5689          | 0.2558   |
| 1.5189        | 38.0  | 1064 | 1.5688          | 0.2558   |
| 1.571         | 39.0  | 1092 | 1.5687          | 0.2558   |
| 1.549         | 40.0  | 1120 | 1.5685          | 0.2558   |
| 1.524         | 41.0  | 1148 | 1.5684          | 0.2558   |
| 1.5138        | 42.0  | 1176 | 1.5684          | 0.2558   |
| 1.4952        | 43.0  | 1204 | 1.5683          | 0.2558   |
| 1.5406        | 44.0  | 1232 | 1.5682          | 0.2558   |
| 1.6126        | 45.0  | 1260 | 1.5682          | 0.2558   |
| 1.5484        | 46.0  | 1288 | 1.5682          | 0.2558   |
| 1.5268        | 47.0  | 1316 | 1.5681          | 0.2558   |
| 1.4882        | 48.0  | 1344 | 1.5681          | 0.2558   |
| 1.5345        | 49.0  | 1372 | 1.5681          | 0.2558   |
| 1.5815        | 50.0  | 1400 | 1.5681          | 0.2558   |


### 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_fold3", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.2558139534883721, "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