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# HUSHEM_5x_beit_large_RMSProp_lr001_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: 1.7443
- Accuracy: 0.6744

## 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: 0.001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4026        | 1.0   | 55   | 1.4249          | 0.2558   |
| 1.4007        | 2.0   | 110  | 1.4214          | 0.2558   |
| 1.3545        | 3.0   | 165  | 1.4473          | 0.2558   |
| 1.3693        | 4.0   | 220  | 1.3749          | 0.2558   |
| 1.3399        | 5.0   | 275  | 1.2856          | 0.4186   |
| 1.3949        | 6.0   | 330  | 2.0572          | 0.2326   |
| 1.1776        | 7.0   | 385  | 1.4748          | 0.5814   |
| 0.9961        | 8.0   | 440  | 1.0881          | 0.5814   |
| 0.9718        | 9.0   | 495  | 1.3336          | 0.5349   |
| 0.9698        | 10.0  | 550  | 0.9907          | 0.4884   |
| 0.9777        | 11.0  | 605  | 1.1171          | 0.6512   |
| 0.9007        | 12.0  | 660  | 1.2322          | 0.5581   |
| 1.0228        | 13.0  | 715  | 0.8656          | 0.6977   |
| 0.945         | 14.0  | 770  | 0.7844          | 0.6744   |
| 1.055         | 15.0  | 825  | 0.9106          | 0.6047   |
| 0.807         | 16.0  | 880  | 0.8442          | 0.5814   |
| 0.8234        | 17.0  | 935  | 1.4263          | 0.5349   |
| 0.7337        | 18.0  | 990  | 0.8656          | 0.6279   |
| 0.9034        | 19.0  | 1045 | 0.7727          | 0.6977   |
| 0.8383        | 20.0  | 1100 | 0.7538          | 0.6744   |
| 0.8715        | 21.0  | 1155 | 0.5997          | 0.8605   |
| 0.7783        | 22.0  | 1210 | 0.6077          | 0.7674   |
| 0.8365        | 23.0  | 1265 | 0.6336          | 0.7907   |
| 0.7812        | 24.0  | 1320 | 0.6403          | 0.7907   |
| 0.8691        | 25.0  | 1375 | 0.6532          | 0.7674   |
| 0.8536        | 26.0  | 1430 | 0.6221          | 0.8372   |
| 0.9101        | 27.0  | 1485 | 0.9698          | 0.6047   |
| 1.0121        | 28.0  | 1540 | 0.8352          | 0.7209   |
| 0.7051        | 29.0  | 1595 | 0.6787          | 0.8140   |
| 0.6924        | 30.0  | 1650 | 0.5194          | 0.7907   |
| 0.8105        | 31.0  | 1705 | 1.0113          | 0.6279   |
| 0.6863        | 32.0  | 1760 | 0.9271          | 0.7442   |
| 0.6536        | 33.0  | 1815 | 0.9846          | 0.7674   |
| 0.5795        | 34.0  | 1870 | 0.6844          | 0.7209   |
| 0.6144        | 35.0  | 1925 | 1.6155          | 0.5349   |
| 0.6179        | 36.0  | 1980 | 1.3721          | 0.6512   |
| 0.6706        | 37.0  | 2035 | 1.0629          | 0.7442   |
| 0.5949        | 38.0  | 2090 | 0.8373          | 0.7442   |
| 0.5121        | 39.0  | 2145 | 0.9326          | 0.6977   |
| 0.4714        | 40.0  | 2200 | 1.2627          | 0.6744   |
| 0.3146        | 41.0  | 2255 | 1.2139          | 0.6977   |
| 0.3699        | 42.0  | 2310 | 1.4578          | 0.6977   |
| 0.3879        | 43.0  | 2365 | 1.3067          | 0.7209   |
| 0.3205        | 44.0  | 2420 | 1.1684          | 0.7442   |
| 0.2824        | 45.0  | 2475 | 1.6130          | 0.6977   |
| 0.3449        | 46.0  | 2530 | 1.5717          | 0.6744   |
| 0.2252        | 47.0  | 2585 | 1.6476          | 0.6512   |
| 0.2131        | 48.0  | 2640 | 1.7128          | 0.6977   |
| 0.1747        | 49.0  | 2695 | 1.7482          | 0.6744   |
| 0.1671        | 50.0  | 2750 | 1.7443          | 0.6744   |


### 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_RMSProp_lr001_fold3", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.6744186046511628, "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