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# HUSHEM_1x_beit_large_SGD_lr001_fold2

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: 1.3517
- Accuracy: 0.3556

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5868        | 1.0   | 11   | 1.6973          | 0.1556   |
| 1.5537        | 2.0   | 22   | 1.6425          | 0.1556   |
| 1.4779        | 3.0   | 33   | 1.6007          | 0.1778   |
| 1.4678        | 4.0   | 44   | 1.5712          | 0.1556   |
| 1.347         | 5.0   | 55   | 1.5453          | 0.1778   |
| 1.432         | 6.0   | 66   | 1.5270          | 0.2444   |
| 1.4045        | 7.0   | 77   | 1.5126          | 0.2444   |
| 1.3144        | 8.0   | 88   | 1.5016          | 0.2444   |
| 1.2725        | 9.0   | 99   | 1.4910          | 0.2889   |
| 1.2621        | 10.0  | 110  | 1.4802          | 0.2889   |
| 1.2473        | 11.0  | 121  | 1.4697          | 0.3111   |
| 1.254         | 12.0  | 132  | 1.4620          | 0.3111   |
| 1.207         | 13.0  | 143  | 1.4540          | 0.2889   |
| 1.2197        | 14.0  | 154  | 1.4467          | 0.3111   |
| 1.2244        | 15.0  | 165  | 1.4390          | 0.3333   |
| 1.1895        | 16.0  | 176  | 1.4339          | 0.3111   |
| 1.181         | 17.0  | 187  | 1.4270          | 0.3111   |
| 1.1541        | 18.0  | 198  | 1.4223          | 0.3111   |
| 1.1351        | 19.0  | 209  | 1.4175          | 0.3111   |
| 1.1244        | 20.0  | 220  | 1.4117          | 0.3333   |
| 1.1116        | 21.0  | 231  | 1.4067          | 0.3111   |
| 1.0871        | 22.0  | 242  | 1.4028          | 0.3111   |
| 1.0851        | 23.0  | 253  | 1.3977          | 0.3111   |
| 1.1107        | 24.0  | 264  | 1.3937          | 0.3111   |
| 1.0632        | 25.0  | 275  | 1.3904          | 0.3333   |
| 1.0389        | 26.0  | 286  | 1.3861          | 0.3556   |
| 1.0829        | 27.0  | 297  | 1.3834          | 0.3556   |
| 1.0177        | 28.0  | 308  | 1.3798          | 0.3556   |
| 1.0459        | 29.0  | 319  | 1.3769          | 0.3556   |
| 1.0611        | 30.0  | 330  | 1.3740          | 0.3556   |
| 1.0167        | 31.0  | 341  | 1.3710          | 0.3556   |
| 1.0197        | 32.0  | 352  | 1.3682          | 0.3778   |
| 1.0012        | 33.0  | 363  | 1.3657          | 0.3778   |
| 1.023         | 34.0  | 374  | 1.3635          | 0.3778   |
| 1.0129        | 35.0  | 385  | 1.3616          | 0.3778   |
| 1.0296        | 36.0  | 396  | 1.3604          | 0.3778   |
| 1.0493        | 37.0  | 407  | 1.3587          | 0.3778   |
| 0.9869        | 38.0  | 418  | 1.3572          | 0.3778   |
| 0.9729        | 39.0  | 429  | 1.3558          | 0.3556   |
| 0.9791        | 40.0  | 440  | 1.3547          | 0.3556   |
| 0.9781        | 41.0  | 451  | 1.3537          | 0.3556   |
| 0.9918        | 42.0  | 462  | 1.3529          | 0.3556   |
| 1.0062        | 43.0  | 473  | 1.3523          | 0.3556   |
| 0.9948        | 44.0  | 484  | 1.3519          | 0.3556   |
| 0.9865        | 45.0  | 495  | 1.3518          | 0.3556   |
| 0.9789        | 46.0  | 506  | 1.3517          | 0.3556   |
| 0.9779        | 47.0  | 517  | 1.3517          | 0.3556   |
| 1.0095        | 48.0  | 528  | 1.3517          | 0.3556   |
| 1.013         | 49.0  | 539  | 1.3517          | 0.3556   |
| 0.9747        | 50.0  | 550  | 1.3517          | 0.3556   |


### 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_1x_beit_large_SGD_lr001_fold2", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.35555555555555557, "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