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# HUSHEM_5x_beit_large_RMSProp_lr001_fold5

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: 1.7449
- Accuracy: 0.6341

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4019        | 1.0   | 55   | 1.3821          | 0.2439   |
| 1.406         | 2.0   | 110  | 1.3838          | 0.2683   |
| 1.3827        | 3.0   | 165  | 1.3777          | 0.2439   |
| 1.4086        | 4.0   | 220  | 1.3972          | 0.2683   |
| 1.3931        | 5.0   | 275  | 1.3573          | 0.4390   |
| 1.2938        | 6.0   | 330  | 1.3458          | 0.3902   |
| 1.3678        | 7.0   | 385  | 1.3043          | 0.5122   |
| 1.2877        | 8.0   | 440  | 1.2085          | 0.5122   |
| 1.2488        | 9.0   | 495  | 1.2816          | 0.5122   |
| 1.2659        | 10.0  | 550  | 1.5316          | 0.4878   |
| 1.3056        | 11.0  | 605  | 1.1068          | 0.5122   |
| 1.2745        | 12.0  | 660  | 1.2448          | 0.2439   |
| 1.3133        | 13.0  | 715  | 1.3123          | 0.4146   |
| 1.2551        | 14.0  | 770  | 1.2451          | 0.4634   |
| 1.2313        | 15.0  | 825  | 1.1185          | 0.4878   |
| 1.2323        | 16.0  | 880  | 1.2627          | 0.5122   |
| 1.1737        | 17.0  | 935  | 1.1633          | 0.5122   |
| 1.2526        | 18.0  | 990  | 1.3172          | 0.4146   |
| 1.2226        | 19.0  | 1045 | 1.2297          | 0.4390   |
| 1.2296        | 20.0  | 1100 | 1.0271          | 0.4878   |
| 1.2239        | 21.0  | 1155 | 1.1514          | 0.4634   |
| 1.0161        | 22.0  | 1210 | 0.8453          | 0.7073   |
| 0.9187        | 23.0  | 1265 | 0.7344          | 0.7073   |
| 0.8612        | 24.0  | 1320 | 0.7711          | 0.6341   |
| 0.9619        | 25.0  | 1375 | 1.1378          | 0.5366   |
| 0.8315        | 26.0  | 1430 | 1.0662          | 0.5610   |
| 0.9046        | 27.0  | 1485 | 0.6987          | 0.7805   |
| 0.8277        | 28.0  | 1540 | 0.8499          | 0.6585   |
| 0.705         | 29.0  | 1595 | 0.7261          | 0.7805   |
| 0.8099        | 30.0  | 1650 | 0.9440          | 0.5854   |
| 0.839         | 31.0  | 1705 | 0.7421          | 0.7561   |
| 0.7266        | 32.0  | 1760 | 0.8791          | 0.6585   |
| 0.6846        | 33.0  | 1815 | 1.0238          | 0.5122   |
| 0.6246        | 34.0  | 1870 | 0.7758          | 0.7561   |
| 0.5688        | 35.0  | 1925 | 1.0391          | 0.6341   |
| 0.6467        | 36.0  | 1980 | 0.9153          | 0.6585   |
| 0.4361        | 37.0  | 2035 | 0.7278          | 0.8293   |
| 0.5322        | 38.0  | 2090 | 0.6319          | 0.8049   |
| 0.4837        | 39.0  | 2145 | 1.0101          | 0.6585   |
| 0.3771        | 40.0  | 2200 | 1.0775          | 0.7317   |
| 0.4779        | 41.0  | 2255 | 1.1685          | 0.7317   |
| 0.4919        | 42.0  | 2310 | 1.2099          | 0.7317   |
| 0.3768        | 43.0  | 2365 | 1.2576          | 0.6829   |
| 0.3062        | 44.0  | 2420 | 1.3100          | 0.6829   |
| 0.3344        | 45.0  | 2475 | 1.5634          | 0.6341   |
| 0.2756        | 46.0  | 2530 | 1.5592          | 0.6829   |
| 0.2659        | 47.0  | 2585 | 1.2990          | 0.7561   |
| 0.3001        | 48.0  | 2640 | 1.6075          | 0.6829   |
| 0.1552        | 49.0  | 2695 | 1.7477          | 0.6585   |
| 0.1129        | 50.0  | 2750 | 1.7449          | 0.6341   |


### 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_fold5", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.6341463414634146, "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