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# HUSHEM_10x_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: 1.3834
- Accuracy: 0.3556

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4988        | 1.0   | 107  | 1.7220          | 0.1778   |
| 1.5236        | 2.0   | 214  | 1.6835          | 0.1556   |
| 1.55          | 3.0   | 321  | 1.6518          | 0.1556   |
| 1.3964        | 4.0   | 428  | 1.6269          | 0.1778   |
| 1.4289        | 5.0   | 535  | 1.6054          | 0.2      |
| 1.3741        | 6.0   | 642  | 1.5876          | 0.2      |
| 1.377         | 7.0   | 749  | 1.5715          | 0.2      |
| 1.3248        | 8.0   | 856  | 1.5579          | 0.2      |
| 1.3188        | 9.0   | 963  | 1.5454          | 0.2      |
| 1.3223        | 10.0  | 1070 | 1.5346          | 0.2      |
| 1.3698        | 11.0  | 1177 | 1.5246          | 0.1778   |
| 1.3497        | 12.0  | 1284 | 1.5155          | 0.1778   |
| 1.2505        | 13.0  | 1391 | 1.5072          | 0.1778   |
| 1.2839        | 14.0  | 1498 | 1.4991          | 0.2444   |
| 1.2435        | 15.0  | 1605 | 1.4918          | 0.2889   |
| 1.2373        | 16.0  | 1712 | 1.4844          | 0.2889   |
| 1.1868        | 17.0  | 1819 | 1.4774          | 0.2889   |
| 1.1888        | 18.0  | 1926 | 1.4711          | 0.2889   |
| 1.1747        | 19.0  | 2033 | 1.4651          | 0.2889   |
| 1.177         | 20.0  | 2140 | 1.4591          | 0.2889   |
| 1.1705        | 21.0  | 2247 | 1.4535          | 0.2889   |
| 1.1379        | 22.0  | 2354 | 1.4482          | 0.2889   |
| 1.1667        | 23.0  | 2461 | 1.4429          | 0.2889   |
| 1.1963        | 24.0  | 2568 | 1.4384          | 0.2889   |
| 1.1853        | 25.0  | 2675 | 1.4340          | 0.2889   |
| 1.1868        | 26.0  | 2782 | 1.4294          | 0.2889   |
| 1.1622        | 27.0  | 2889 | 1.4251          | 0.2889   |
| 1.0881        | 28.0  | 2996 | 1.4212          | 0.2889   |
| 1.1263        | 29.0  | 3103 | 1.4174          | 0.2889   |
| 1.1589        | 30.0  | 3210 | 1.4140          | 0.2889   |
| 1.1004        | 31.0  | 3317 | 1.4109          | 0.3111   |
| 1.0994        | 32.0  | 3424 | 1.4079          | 0.3111   |
| 1.116         | 33.0  | 3531 | 1.4052          | 0.3111   |
| 1.1075        | 34.0  | 3638 | 1.4024          | 0.3111   |
| 1.1094        | 35.0  | 3745 | 1.4001          | 0.3111   |
| 1.0993        | 36.0  | 3852 | 1.3977          | 0.3111   |
| 1.042         | 37.0  | 3959 | 1.3956          | 0.3111   |
| 1.1304        | 38.0  | 4066 | 1.3937          | 0.3111   |
| 1.0241        | 39.0  | 4173 | 1.3919          | 0.3111   |
| 1.0724        | 40.0  | 4280 | 1.3903          | 0.3333   |
| 1.0763        | 41.0  | 4387 | 1.3889          | 0.3333   |
| 1.0336        | 42.0  | 4494 | 1.3876          | 0.3333   |
| 1.0771        | 43.0  | 4601 | 1.3864          | 0.3333   |
| 1.0736        | 44.0  | 4708 | 1.3856          | 0.3333   |
| 1.123         | 45.0  | 4815 | 1.3848          | 0.3333   |
| 1.0864        | 46.0  | 4922 | 1.3842          | 0.3333   |
| 1.0323        | 47.0  | 5029 | 1.3838          | 0.3333   |
| 1.1091        | 48.0  | 5136 | 1.3835          | 0.3556   |
| 1.0702        | 49.0  | 5243 | 1.3834          | 0.3556   |
| 1.049         | 50.0  | 5350 | 1.3834          | 0.3556   |


### 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_fold2", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.35555555555555557, "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