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# HUSHEM_5x_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: 1.4837
- Accuracy: 0.2444

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6843        | 1.0   | 54   | 1.7409          | 0.1778   |
| 1.5278        | 2.0   | 108  | 1.7175          | 0.1556   |
| 1.5806        | 3.0   | 162  | 1.6975          | 0.1556   |
| 1.599         | 4.0   | 216  | 1.6787          | 0.1556   |
| 1.4912        | 5.0   | 270  | 1.6620          | 0.1556   |
| 1.5278        | 6.0   | 324  | 1.6475          | 0.1556   |
| 1.5348        | 7.0   | 378  | 1.6342          | 0.1556   |
| 1.4915        | 8.0   | 432  | 1.6227          | 0.1556   |
| 1.4066        | 9.0   | 486  | 1.6122          | 0.1556   |
| 1.4273        | 10.0  | 540  | 1.6029          | 0.1556   |
| 1.4354        | 11.0  | 594  | 1.5942          | 0.1778   |
| 1.4176        | 12.0  | 648  | 1.5862          | 0.1778   |
| 1.4039        | 13.0  | 702  | 1.5788          | 0.1778   |
| 1.3378        | 14.0  | 756  | 1.5717          | 0.1778   |
| 1.3627        | 15.0  | 810  | 1.5654          | 0.1778   |
| 1.3511        | 16.0  | 864  | 1.5597          | 0.1556   |
| 1.3624        | 17.0  | 918  | 1.5542          | 0.1556   |
| 1.3295        | 18.0  | 972  | 1.5491          | 0.1556   |
| 1.4313        | 19.0  | 1026 | 1.5441          | 0.1556   |
| 1.4016        | 20.0  | 1080 | 1.5392          | 0.1778   |
| 1.3559        | 21.0  | 1134 | 1.5352          | 0.1778   |
| 1.3832        | 22.0  | 1188 | 1.5312          | 0.1778   |
| 1.3436        | 23.0  | 1242 | 1.5272          | 0.1778   |
| 1.3268        | 24.0  | 1296 | 1.5236          | 0.2222   |
| 1.3079        | 25.0  | 1350 | 1.5201          | 0.2222   |
| 1.281         | 26.0  | 1404 | 1.5167          | 0.2222   |
| 1.3062        | 27.0  | 1458 | 1.5137          | 0.2222   |
| 1.2981        | 28.0  | 1512 | 1.5107          | 0.2222   |
| 1.3022        | 29.0  | 1566 | 1.5081          | 0.2222   |
| 1.2879        | 30.0  | 1620 | 1.5055          | 0.2222   |
| 1.3339        | 31.0  | 1674 | 1.5031          | 0.2222   |
| 1.2746        | 32.0  | 1728 | 1.5010          | 0.2222   |
| 1.2581        | 33.0  | 1782 | 1.4989          | 0.2222   |
| 1.2023        | 34.0  | 1836 | 1.4969          | 0.2222   |
| 1.26          | 35.0  | 1890 | 1.4952          | 0.2222   |
| 1.2495        | 36.0  | 1944 | 1.4934          | 0.2222   |
| 1.329         | 37.0  | 1998 | 1.4919          | 0.2222   |
| 1.2465        | 38.0  | 2052 | 1.4906          | 0.2444   |
| 1.2176        | 39.0  | 2106 | 1.4893          | 0.2444   |
| 1.305         | 40.0  | 2160 | 1.4882          | 0.2444   |
| 1.2146        | 41.0  | 2214 | 1.4871          | 0.2444   |
| 1.2516        | 42.0  | 2268 | 1.4863          | 0.2444   |
| 1.3286        | 43.0  | 2322 | 1.4855          | 0.2444   |
| 1.2815        | 44.0  | 2376 | 1.4850          | 0.2444   |
| 1.3031        | 45.0  | 2430 | 1.4845          | 0.2444   |
| 1.2087        | 46.0  | 2484 | 1.4841          | 0.2444   |
| 1.2618        | 47.0  | 2538 | 1.4839          | 0.2444   |
| 1.2968        | 48.0  | 2592 | 1.4837          | 0.2444   |
| 1.3004        | 49.0  | 2646 | 1.4837          | 0.2444   |
| 1.2235        | 50.0  | 2700 | 1.4837          | 0.2444   |


### 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_5x_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": 0.24444444444444444, "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