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# HUSHEM_10x_beit_large_RMSProp_lr0001_fold3

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: 2.4920
- Accuracy: 0.7209

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2637        | 1.0   | 109  | 1.1216          | 0.5814   |
| 1.0444        | 2.0   | 218  | 0.8123          | 0.6512   |
| 0.8502        | 3.0   | 327  | 0.8439          | 0.6977   |
| 0.718         | 4.0   | 436  | 0.7090          | 0.6279   |
| 0.7579        | 5.0   | 545  | 0.6406          | 0.7209   |
| 0.6238        | 6.0   | 654  | 0.9856          | 0.6279   |
| 0.627         | 7.0   | 763  | 0.8741          | 0.6279   |
| 0.5363        | 8.0   | 872  | 2.3005          | 0.5581   |
| 0.406         | 9.0   | 981  | 0.9106          | 0.6512   |
| 0.3969        | 10.0  | 1090 | 1.1182          | 0.6977   |
| 0.1095        | 11.0  | 1199 | 1.2929          | 0.7209   |
| 0.1595        | 12.0  | 1308 | 0.9876          | 0.6977   |
| 0.2165        | 13.0  | 1417 | 1.1663          | 0.7674   |
| 0.1232        | 14.0  | 1526 | 1.8043          | 0.6744   |
| 0.0549        | 15.0  | 1635 | 0.7627          | 0.7907   |
| 0.0769        | 16.0  | 1744 | 0.9974          | 0.7907   |
| 0.0528        | 17.0  | 1853 | 1.7779          | 0.7209   |
| 0.0064        | 18.0  | 1962 | 1.0598          | 0.7907   |
| 0.0054        | 19.0  | 2071 | 1.8232          | 0.7209   |
| 0.1219        | 20.0  | 2180 | 1.3430          | 0.7442   |
| 0.0899        | 21.0  | 2289 | 1.7560          | 0.6977   |
| 0.003         | 22.0  | 2398 | 0.8942          | 0.8140   |
| 0.0324        | 23.0  | 2507 | 1.9551          | 0.8140   |
| 0.0049        | 24.0  | 2616 | 2.2977          | 0.7907   |
| 0.0822        | 25.0  | 2725 | 1.6056          | 0.7674   |
| 0.0047        | 26.0  | 2834 | 2.1824          | 0.7674   |
| 0.0005        | 27.0  | 2943 | 1.5092          | 0.7907   |
| 0.0007        | 28.0  | 3052 | 2.5733          | 0.7209   |
| 0.0003        | 29.0  | 3161 | 2.3000          | 0.7442   |
| 0.0           | 30.0  | 3270 | 1.5280          | 0.8140   |
| 0.0199        | 31.0  | 3379 | 1.3478          | 0.8372   |
| 0.0004        | 32.0  | 3488 | 1.4718          | 0.8605   |
| 0.0003        | 33.0  | 3597 | 1.3600          | 0.7674   |
| 0.0           | 34.0  | 3706 | 1.5729          | 0.8605   |
| 0.0           | 35.0  | 3815 | 1.8505          | 0.7907   |
| 0.0           | 36.0  | 3924 | 1.3769          | 0.7674   |
| 0.0           | 37.0  | 4033 | 1.5896          | 0.7674   |
| 0.0           | 38.0  | 4142 | 1.6470          | 0.6977   |
| 0.0011        | 39.0  | 4251 | 3.0584          | 0.7209   |
| 0.0           | 40.0  | 4360 | 2.0058          | 0.7209   |
| 0.0           | 41.0  | 4469 | 2.4373          | 0.7209   |
| 0.0           | 42.0  | 4578 | 2.1742          | 0.7442   |
| 0.0           | 43.0  | 4687 | 2.1862          | 0.7442   |
| 0.0           | 44.0  | 4796 | 2.1367          | 0.7442   |
| 0.0           | 45.0  | 4905 | 2.1011          | 0.7674   |
| 0.0           | 46.0  | 5014 | 2.1313          | 0.7674   |
| 0.0           | 47.0  | 5123 | 2.2190          | 0.7209   |
| 0.0002        | 48.0  | 5232 | 2.2845          | 0.7209   |
| 0.0           | 49.0  | 5341 | 2.4920          | 0.7209   |
| 0.0           | 50.0  | 5450 | 2.4920          | 0.7209   |


### 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_RMSProp_lr0001_fold3", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.7209302325581395, "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