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# HUSHEM_5x_beit_large_SGDx_lr00001_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: 1.7120
- 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: 1e-05
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.7043        | 1.0   | 54   | 1.7633          | 0.2      |
| 1.567         | 2.0   | 108  | 1.7609          | 0.2      |
| 1.6438        | 3.0   | 162  | 1.7585          | 0.2      |
| 1.6926        | 4.0   | 216  | 1.7562          | 0.2      |
| 1.5881        | 5.0   | 270  | 1.7539          | 0.1778   |
| 1.6471        | 6.0   | 324  | 1.7518          | 0.1778   |
| 1.6885        | 7.0   | 378  | 1.7496          | 0.1778   |
| 1.6343        | 8.0   | 432  | 1.7476          | 0.1778   |
| 1.5435        | 9.0   | 486  | 1.7457          | 0.1778   |
| 1.6171        | 10.0  | 540  | 1.7440          | 0.1778   |
| 1.5994        | 11.0  | 594  | 1.7422          | 0.1778   |
| 1.592         | 12.0  | 648  | 1.7405          | 0.1778   |
| 1.591         | 13.0  | 702  | 1.7388          | 0.1778   |
| 1.5085        | 14.0  | 756  | 1.7372          | 0.1778   |
| 1.6161        | 15.0  | 810  | 1.7356          | 0.1778   |
| 1.5685        | 16.0  | 864  | 1.7342          | 0.1778   |
| 1.5539        | 17.0  | 918  | 1.7328          | 0.1778   |
| 1.5389        | 18.0  | 972  | 1.7314          | 0.1778   |
| 1.6862        | 19.0  | 1026 | 1.7301          | 0.1778   |
| 1.6299        | 20.0  | 1080 | 1.7288          | 0.1778   |
| 1.5813        | 21.0  | 1134 | 1.7276          | 0.1778   |
| 1.6151        | 22.0  | 1188 | 1.7265          | 0.1778   |
| 1.6083        | 23.0  | 1242 | 1.7253          | 0.1778   |
| 1.5774        | 24.0  | 1296 | 1.7243          | 0.1778   |
| 1.5162        | 25.0  | 1350 | 1.7233          | 0.1778   |
| 1.5033        | 26.0  | 1404 | 1.7223          | 0.1778   |
| 1.5642        | 27.0  | 1458 | 1.7213          | 0.1778   |
| 1.5589        | 28.0  | 1512 | 1.7205          | 0.1778   |
| 1.632         | 29.0  | 1566 | 1.7196          | 0.1778   |
| 1.5167        | 30.0  | 1620 | 1.7188          | 0.1778   |
| 1.5935        | 31.0  | 1674 | 1.7181          | 0.1556   |
| 1.5301        | 32.0  | 1728 | 1.7174          | 0.1556   |
| 1.5601        | 33.0  | 1782 | 1.7167          | 0.1556   |
| 1.512         | 34.0  | 1836 | 1.7161          | 0.1556   |
| 1.5315        | 35.0  | 1890 | 1.7155          | 0.1556   |
| 1.4768        | 36.0  | 1944 | 1.7150          | 0.1556   |
| 1.6154        | 37.0  | 1998 | 1.7146          | 0.1556   |
| 1.5803        | 38.0  | 2052 | 1.7141          | 0.1556   |
| 1.512         | 39.0  | 2106 | 1.7137          | 0.1556   |
| 1.6583        | 40.0  | 2160 | 1.7134          | 0.1556   |
| 1.4905        | 41.0  | 2214 | 1.7131          | 0.1556   |
| 1.5934        | 42.0  | 2268 | 1.7128          | 0.1556   |
| 1.607         | 43.0  | 2322 | 1.7126          | 0.1556   |
| 1.5967        | 44.0  | 2376 | 1.7124          | 0.1556   |
| 1.568         | 45.0  | 2430 | 1.7122          | 0.1556   |
| 1.5163        | 46.0  | 2484 | 1.7121          | 0.1556   |
| 1.5659        | 47.0  | 2538 | 1.7120          | 0.1556   |
| 1.6125        | 48.0  | 2592 | 1.7120          | 0.1556   |
| 1.5425        | 49.0  | 2646 | 1.7120          | 0.1556   |
| 1.5529        | 50.0  | 2700 | 1.7120          | 0.1556   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/beit-large-patch16-224", "model-index": [{"name": "HUSHEM_5x_beit_large_SGDx_lr00001_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 safetensors 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