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# HUSHEM_10x_beit_large_SGD_lr0001_fold1

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: 1.3111
- Accuracy: 0.3333

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.678         | 1.0   | 107  | 1.5766          | 0.1556   |
| 1.6229        | 2.0   | 214  | 1.5435          | 0.1556   |
| 1.5383        | 3.0   | 321  | 1.5194          | 0.1333   |
| 1.5245        | 4.0   | 428  | 1.5025          | 0.1556   |
| 1.5085        | 5.0   | 535  | 1.4887          | 0.1778   |
| 1.5263        | 6.0   | 642  | 1.4772          | 0.1778   |
| 1.4512        | 7.0   | 749  | 1.4665          | 0.1778   |
| 1.362         | 8.0   | 856  | 1.4575          | 0.2222   |
| 1.4035        | 9.0   | 963  | 1.4497          | 0.1778   |
| 1.4491        | 10.0  | 1070 | 1.4425          | 0.1778   |
| 1.3864        | 11.0  | 1177 | 1.4349          | 0.1778   |
| 1.3873        | 12.0  | 1284 | 1.4276          | 0.1778   |
| 1.351         | 13.0  | 1391 | 1.4207          | 0.2      |
| 1.3557        | 14.0  | 1498 | 1.4141          | 0.2222   |
| 1.3323        | 15.0  | 1605 | 1.4075          | 0.2222   |
| 1.3315        | 16.0  | 1712 | 1.4008          | 0.2444   |
| 1.316         | 17.0  | 1819 | 1.3945          | 0.2444   |
| 1.2555        | 18.0  | 1926 | 1.3886          | 0.2667   |
| 1.3481        | 19.0  | 2033 | 1.3832          | 0.2667   |
| 1.2259        | 20.0  | 2140 | 1.3781          | 0.2667   |
| 1.3275        | 21.0  | 2247 | 1.3727          | 0.2667   |
| 1.3615        | 22.0  | 2354 | 1.3683          | 0.2667   |
| 1.2049        | 23.0  | 2461 | 1.3637          | 0.2667   |
| 1.2687        | 24.0  | 2568 | 1.3595          | 0.2667   |
| 1.2588        | 25.0  | 2675 | 1.3557          | 0.2667   |
| 1.2481        | 26.0  | 2782 | 1.3519          | 0.2667   |
| 1.2144        | 27.0  | 2889 | 1.3483          | 0.3111   |
| 1.2543        | 28.0  | 2996 | 1.3448          | 0.3333   |
| 1.2272        | 29.0  | 3103 | 1.3418          | 0.3333   |
| 1.2499        | 30.0  | 3210 | 1.3391          | 0.3333   |
| 1.1921        | 31.0  | 3317 | 1.3361          | 0.3556   |
| 1.1933        | 32.0  | 3424 | 1.3333          | 0.3556   |
| 1.2316        | 33.0  | 3531 | 1.3307          | 0.3556   |
| 1.2077        | 34.0  | 3638 | 1.3283          | 0.3556   |
| 1.128         | 35.0  | 3745 | 1.3261          | 0.3556   |
| 1.1497        | 36.0  | 3852 | 1.3238          | 0.3556   |
| 1.1691        | 37.0  | 3959 | 1.3219          | 0.3556   |
| 1.156         | 38.0  | 4066 | 1.3201          | 0.3556   |
| 1.1662        | 39.0  | 4173 | 1.3185          | 0.3556   |
| 1.1468        | 40.0  | 4280 | 1.3170          | 0.3556   |
| 1.1307        | 41.0  | 4387 | 1.3158          | 0.3556   |
| 1.1491        | 42.0  | 4494 | 1.3147          | 0.3556   |
| 1.2209        | 43.0  | 4601 | 1.3137          | 0.3556   |
| 1.2053        | 44.0  | 4708 | 1.3130          | 0.3556   |
| 1.1525        | 45.0  | 4815 | 1.3123          | 0.3333   |
| 1.1889        | 46.0  | 4922 | 1.3118          | 0.3333   |
| 1.1242        | 47.0  | 5029 | 1.3115          | 0.3333   |
| 1.1611        | 48.0  | 5136 | 1.3112          | 0.3333   |
| 1.1503        | 49.0  | 5243 | 1.3111          | 0.3333   |
| 1.1573        | 50.0  | 5350 | 1.3111          | 0.3333   |


### 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_10x_beit_large_SGD_lr0001_fold1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.3333333333333333, "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