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# HUSHEM_5x_beit_large_RMSProp_lr0001_fold1

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: 7.1231
- Accuracy: 0.3778

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3783        | 1.0   | 54   | 1.8345          | 0.3333   |
| 1.1425        | 2.0   | 108  | 1.9827          | 0.2444   |
| 1.1758        | 3.0   | 162  | 1.6489          | 0.2444   |
| 1.1414        | 4.0   | 216  | 1.9303          | 0.2444   |
| 1.0768        | 5.0   | 270  | 1.6324          | 0.2444   |
| 0.8724        | 6.0   | 324  | 1.4698          | 0.3778   |
| 0.8197        | 7.0   | 378  | 1.7219          | 0.3111   |
| 0.8557        | 8.0   | 432  | 1.7223          | 0.3778   |
| 0.6591        | 9.0   | 486  | 1.8880          | 0.3778   |
| 0.5913        | 10.0  | 540  | 1.6187          | 0.4      |
| 0.7161        | 11.0  | 594  | 1.9069          | 0.3778   |
| 0.6747        | 12.0  | 648  | 1.4423          | 0.3778   |
| 0.7121        | 13.0  | 702  | 1.5882          | 0.3778   |
| 0.6785        | 14.0  | 756  | 1.4479          | 0.4      |
| 0.5487        | 15.0  | 810  | 2.0837          | 0.3778   |
| 0.4688        | 16.0  | 864  | 1.6396          | 0.4      |
| 0.5632        | 17.0  | 918  | 2.1751          | 0.3778   |
| 0.5644        | 18.0  | 972  | 2.2980          | 0.3556   |
| 0.5177        | 19.0  | 1026 | 2.0817          | 0.3556   |
| 0.5444        | 20.0  | 1080 | 2.1146          | 0.3556   |
| 0.3863        | 21.0  | 1134 | 1.6983          | 0.3556   |
| 0.3833        | 22.0  | 1188 | 2.5270          | 0.3556   |
| 0.3679        | 23.0  | 1242 | 3.1628          | 0.3778   |
| 0.45          | 24.0  | 1296 | 1.9994          | 0.4      |
| 0.4006        | 25.0  | 1350 | 2.1552          | 0.4      |
| 0.3542        | 26.0  | 1404 | 3.4501          | 0.4      |
| 0.2982        | 27.0  | 1458 | 3.3596          | 0.3778   |
| 0.2575        | 28.0  | 1512 | 3.2534          | 0.4      |
| 0.1888        | 29.0  | 1566 | 4.1076          | 0.4      |
| 0.1767        | 30.0  | 1620 | 3.6666          | 0.3333   |
| 0.1378        | 31.0  | 1674 | 4.6790          | 0.4      |
| 0.2069        | 32.0  | 1728 | 5.0036          | 0.4      |
| 0.1387        | 33.0  | 1782 | 6.2674          | 0.3556   |
| 0.2181        | 34.0  | 1836 | 5.3025          | 0.3556   |
| 0.0615        | 35.0  | 1890 | 7.3421          | 0.4      |
| 0.1897        | 36.0  | 1944 | 4.2482          | 0.3778   |
| 0.1106        | 37.0  | 1998 | 6.7659          | 0.3556   |
| 0.1086        | 38.0  | 2052 | 7.2736          | 0.3778   |
| 0.1656        | 39.0  | 2106 | 7.6245          | 0.3556   |
| 0.0713        | 40.0  | 2160 | 6.6971          | 0.4      |
| 0.0451        | 41.0  | 2214 | 7.8615          | 0.4      |
| 0.0061        | 42.0  | 2268 | 8.4431          | 0.4      |
| 0.0003        | 43.0  | 2322 | 8.5009          | 0.3778   |
| 0.1025        | 44.0  | 2376 | 8.6966          | 0.4      |
| 0.0453        | 45.0  | 2430 | 8.8556          | 0.3778   |
| 0.0299        | 46.0  | 2484 | 6.8880          | 0.3556   |
| 0.0016        | 47.0  | 2538 | 7.1979          | 0.3556   |
| 0.116         | 48.0  | 2592 | 7.1277          | 0.3778   |
| 0.0715        | 49.0  | 2646 | 7.1232          | 0.3778   |
| 0.0001        | 50.0  | 2700 | 7.1231          | 0.3778   |


### 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_lr0001_fold1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.37777777777777777, "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