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# HUSHEM_5x_beit_large_RMSProp_lr00001_fold4

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: 0.0206
- Accuracy: 1.0

## 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: 1e-05
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2345        | 1.0   | 55   | 0.3352          | 0.8810   |
| 0.0598        | 2.0   | 110  | 0.1692          | 0.9524   |
| 0.0072        | 3.0   | 165  | 0.1121          | 0.9762   |
| 0.0019        | 4.0   | 220  | 0.0785          | 0.9762   |
| 0.0001        | 5.0   | 275  | 0.0924          | 0.9762   |
| 0.0           | 6.0   | 330  | 0.1314          | 0.9286   |
| 0.0           | 7.0   | 385  | 0.0861          | 0.9286   |
| 0.0           | 8.0   | 440  | 0.0742          | 0.9524   |
| 0.0           | 9.0   | 495  | 0.0749          | 0.9286   |
| 0.0           | 10.0  | 550  | 0.0658          | 0.9524   |
| 0.0           | 11.0  | 605  | 0.0719          | 0.9286   |
| 0.006         | 12.0  | 660  | 0.0787          | 0.9524   |
| 0.0112        | 13.0  | 715  | 0.2731          | 0.9524   |
| 0.0024        | 14.0  | 770  | 0.2284          | 0.9286   |
| 0.0           | 15.0  | 825  | 0.1587          | 0.9762   |
| 0.0           | 16.0  | 880  | 0.1320          | 0.9762   |
| 0.0           | 17.0  | 935  | 0.1502          | 0.9762   |
| 0.0           | 18.0  | 990  | 0.1349          | 0.9762   |
| 0.0           | 19.0  | 1045 | 0.2369          | 0.9286   |
| 0.0           | 20.0  | 1100 | 0.1994          | 0.9524   |
| 0.0           | 21.0  | 1155 | 0.2022          | 0.9286   |
| 0.0           | 22.0  | 1210 | 0.1097          | 0.9762   |
| 0.0           | 23.0  | 1265 | 0.2841          | 0.9524   |
| 0.0           | 24.0  | 1320 | 0.2358          | 0.9524   |
| 0.0           | 25.0  | 1375 | 0.2856          | 0.9524   |
| 0.0           | 26.0  | 1430 | 0.2980          | 0.9524   |
| 0.0           | 27.0  | 1485 | 0.3043          | 0.9524   |
| 0.0           | 28.0  | 1540 | 0.3405          | 0.9524   |
| 0.0           | 29.0  | 1595 | 0.2891          | 0.9524   |
| 0.0           | 30.0  | 1650 | 0.2979          | 0.9524   |
| 0.0           | 31.0  | 1705 | 0.0673          | 0.9762   |
| 0.0           | 32.0  | 1760 | 0.0696          | 0.9762   |
| 0.0           | 33.0  | 1815 | 0.0878          | 0.9762   |
| 0.0           | 34.0  | 1870 | 0.1328          | 0.9524   |
| 0.0           | 35.0  | 1925 | 0.1425          | 0.9524   |
| 0.0           | 36.0  | 1980 | 0.2041          | 0.9524   |
| 0.0           | 37.0  | 2035 | 0.1641          | 0.9524   |
| 0.0           | 38.0  | 2090 | 0.1780          | 0.9524   |
| 0.0           | 39.0  | 2145 | 0.0478          | 0.9762   |
| 0.0           | 40.0  | 2200 | 0.0418          | 0.9762   |
| 0.0           | 41.0  | 2255 | 0.0076          | 1.0      |
| 0.0           | 42.0  | 2310 | 0.0094          | 1.0      |
| 0.0           | 43.0  | 2365 | 0.0097          | 1.0      |
| 0.0           | 44.0  | 2420 | 0.0409          | 0.9762   |
| 0.0           | 45.0  | 2475 | 0.0380          | 0.9762   |
| 0.0           | 46.0  | 2530 | 0.0224          | 1.0      |
| 0.0           | 47.0  | 2585 | 0.0225          | 1.0      |
| 0.0           | 48.0  | 2640 | 0.0225          | 1.0      |
| 0.0           | 49.0  | 2695 | 0.0206          | 1.0      |
| 0.0           | 50.0  | 2750 | 0.0206          | 1.0      |


### 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_RMSProp_lr00001_fold4", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 1.0, "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