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# HUSHEM_1x_beit_large_SGD_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: 1.1618
- Accuracy: 0.4651

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6677        | 1.0   | 11   | 1.5310          | 0.2558   |
| 1.5456        | 2.0   | 22   | 1.4851          | 0.2558   |
| 1.5227        | 3.0   | 33   | 1.4461          | 0.2558   |
| 1.4952        | 4.0   | 44   | 1.4180          | 0.3023   |
| 1.4455        | 5.0   | 55   | 1.3961          | 0.3023   |
| 1.3801        | 6.0   | 66   | 1.3768          | 0.3023   |
| 1.4132        | 7.0   | 77   | 1.3586          | 0.3023   |
| 1.3697        | 8.0   | 88   | 1.3453          | 0.3023   |
| 1.3184        | 9.0   | 99   | 1.3339          | 0.2791   |
| 1.3232        | 10.0  | 110  | 1.3204          | 0.2791   |
| 1.273         | 11.0  | 121  | 1.3110          | 0.2791   |
| 1.2826        | 12.0  | 132  | 1.3019          | 0.3023   |
| 1.2572        | 13.0  | 143  | 1.2920          | 0.3488   |
| 1.2611        | 14.0  | 154  | 1.2828          | 0.3953   |
| 1.217         | 15.0  | 165  | 1.2762          | 0.3953   |
| 1.2045        | 16.0  | 176  | 1.2655          | 0.3953   |
| 1.2106        | 17.0  | 187  | 1.2580          | 0.3953   |
| 1.2282        | 18.0  | 198  | 1.2506          | 0.4186   |
| 1.192         | 19.0  | 209  | 1.2442          | 0.4186   |
| 1.1953        | 20.0  | 220  | 1.2371          | 0.4186   |
| 1.155         | 21.0  | 231  | 1.2304          | 0.4186   |
| 1.1402        | 22.0  | 242  | 1.2244          | 0.4186   |
| 1.1798        | 23.0  | 253  | 1.2192          | 0.4186   |
| 1.1003        | 24.0  | 264  | 1.2137          | 0.4186   |
| 1.1423        | 25.0  | 275  | 1.2085          | 0.4419   |
| 1.0826        | 26.0  | 286  | 1.2054          | 0.4186   |
| 1.17          | 27.0  | 297  | 1.2004          | 0.4419   |
| 1.0896        | 28.0  | 308  | 1.1953          | 0.4419   |
| 1.1603        | 29.0  | 319  | 1.1915          | 0.4419   |
| 1.116         | 30.0  | 330  | 1.1879          | 0.4419   |
| 1.0648        | 31.0  | 341  | 1.1843          | 0.4651   |
| 1.0696        | 32.0  | 352  | 1.1809          | 0.4651   |
| 1.094         | 33.0  | 363  | 1.1777          | 0.4884   |
| 1.0287        | 34.0  | 374  | 1.1752          | 0.4651   |
| 1.0496        | 35.0  | 385  | 1.1730          | 0.4884   |
| 1.0615        | 36.0  | 396  | 1.1710          | 0.4884   |
| 1.0565        | 37.0  | 407  | 1.1693          | 0.4884   |
| 1.0672        | 38.0  | 418  | 1.1676          | 0.4651   |
| 1.0424        | 39.0  | 429  | 1.1659          | 0.4651   |
| 1.0324        | 40.0  | 440  | 1.1648          | 0.4651   |
| 1.0741        | 41.0  | 451  | 1.1641          | 0.4651   |
| 1.0195        | 42.0  | 462  | 1.1631          | 0.4651   |
| 1.091         | 43.0  | 473  | 1.1625          | 0.4651   |
| 1.0391        | 44.0  | 484  | 1.1620          | 0.4651   |
| 1.0237        | 45.0  | 495  | 1.1618          | 0.4651   |
| 1.0935        | 46.0  | 506  | 1.1618          | 0.4651   |
| 1.0255        | 47.0  | 517  | 1.1618          | 0.4651   |
| 1.0351        | 48.0  | 528  | 1.1618          | 0.4651   |
| 1.0317        | 49.0  | 539  | 1.1618          | 0.4651   |
| 1.0109        | 50.0  | 550  | 1.1618          | 0.4651   |


### 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_fold3", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.46511627906976744, "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