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# HUSHEM_1x_beit_large_SGD_lr0001_fold2

This model is a fine-tuned version of [microsoft/beit-large-patch16-224](https://huggingface.co/microsoft/beit-large-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6226
- Accuracy: 0.1556

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6041        | 1.0   | 11   | 1.7580          | 0.2      |
| 1.6291        | 2.0   | 22   | 1.7495          | 0.1778   |
| 1.5861        | 3.0   | 33   | 1.7414          | 0.1778   |
| 1.6386        | 4.0   | 44   | 1.7339          | 0.1778   |
| 1.4803        | 5.0   | 55   | 1.7267          | 0.1778   |
| 1.6521        | 6.0   | 66   | 1.7203          | 0.1778   |
| 1.6221        | 7.0   | 77   | 1.7138          | 0.1778   |
| 1.5494        | 8.0   | 88   | 1.7084          | 0.1778   |
| 1.525         | 9.0   | 99   | 1.7028          | 0.1556   |
| 1.5629        | 10.0  | 110  | 1.6973          | 0.1556   |
| 1.5321        | 11.0  | 121  | 1.6920          | 0.1556   |
| 1.5794        | 12.0  | 132  | 1.6869          | 0.1778   |
| 1.5303        | 13.0  | 143  | 1.6819          | 0.1556   |
| 1.5221        | 14.0  | 154  | 1.6777          | 0.1556   |
| 1.5542        | 15.0  | 165  | 1.6737          | 0.1556   |
| 1.5319        | 16.0  | 176  | 1.6699          | 0.1556   |
| 1.482         | 17.0  | 187  | 1.6664          | 0.1556   |
| 1.5078        | 18.0  | 198  | 1.6629          | 0.1556   |
| 1.4849        | 19.0  | 209  | 1.6602          | 0.1556   |
| 1.5031        | 20.0  | 220  | 1.6569          | 0.1556   |
| 1.4868        | 21.0  | 231  | 1.6540          | 0.1556   |
| 1.4916        | 22.0  | 242  | 1.6513          | 0.1556   |
| 1.5027        | 23.0  | 253  | 1.6485          | 0.1556   |
| 1.5037        | 24.0  | 264  | 1.6463          | 0.1556   |
| 1.4709        | 25.0  | 275  | 1.6440          | 0.1556   |
| 1.4709        | 26.0  | 286  | 1.6417          | 0.1556   |
| 1.4891        | 27.0  | 297  | 1.6398          | 0.1556   |
| 1.5078        | 28.0  | 308  | 1.6379          | 0.1556   |
| 1.4615        | 29.0  | 319  | 1.6363          | 0.1556   |
| 1.4995        | 30.0  | 330  | 1.6346          | 0.1556   |
| 1.485         | 31.0  | 341  | 1.6330          | 0.1556   |
| 1.455         | 32.0  | 352  | 1.6315          | 0.1556   |
| 1.4948        | 33.0  | 363  | 1.6301          | 0.1556   |
| 1.472         | 34.0  | 374  | 1.6288          | 0.1556   |
| 1.438         | 35.0  | 385  | 1.6277          | 0.1556   |
| 1.4951        | 36.0  | 396  | 1.6268          | 0.1556   |
| 1.5069        | 37.0  | 407  | 1.6259          | 0.1556   |
| 1.5299        | 38.0  | 418  | 1.6251          | 0.1556   |
| 1.4042        | 39.0  | 429  | 1.6245          | 0.1556   |
| 1.4578        | 40.0  | 440  | 1.6239          | 0.1556   |
| 1.4373        | 41.0  | 451  | 1.6235          | 0.1556   |
| 1.4595        | 42.0  | 462  | 1.6231          | 0.1556   |
| 1.4808        | 43.0  | 473  | 1.6229          | 0.1556   |
| 1.4748        | 44.0  | 484  | 1.6227          | 0.1556   |
| 1.4902        | 45.0  | 495  | 1.6226          | 0.1556   |
| 1.4166        | 46.0  | 506  | 1.6226          | 0.1556   |
| 1.5063        | 47.0  | 517  | 1.6226          | 0.1556   |
| 1.4568        | 48.0  | 528  | 1.6226          | 0.1556   |
| 1.5084        | 49.0  | 539  | 1.6226          | 0.1556   |
| 1.4602        | 50.0  | 550  | 1.6226          | 0.1556   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/beit-large-patch16-224", "model-index": [{"name": "HUSHEM_1x_beit_large_SGD_lr0001_fold2", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.15555555555555556, "name": "Accuracy"}]}]}]}
transformers pytorch beit image-classification generated_from_trainer dataset:imagefolder base_model:microsoft/beit-large-patch16-224 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us