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# HUSHEM_1x_beit_large_RMSProp_lr001_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: 1.1917
- Accuracy: 0.3333

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 6.9465        | 1.0   | 11   | 2.1168          | 0.2619   |
| 2.4695        | 2.0   | 22   | 1.5758          | 0.2381   |
| 1.5449        | 3.0   | 33   | 1.4946          | 0.2619   |
| 1.4778        | 4.0   | 44   | 1.4030          | 0.2381   |
| 1.4826        | 5.0   | 55   | 1.3891          | 0.2619   |
| 1.4554        | 6.0   | 66   | 1.4070          | 0.2619   |
| 1.4409        | 7.0   | 77   | 1.3950          | 0.2381   |
| 1.4155        | 8.0   | 88   | 1.3925          | 0.2619   |
| 1.3932        | 9.0   | 99   | 1.3899          | 0.2619   |
| 1.4049        | 10.0  | 110  | 1.3858          | 0.2619   |
| 1.4117        | 11.0  | 121  | 1.3866          | 0.2619   |
| 1.4034        | 12.0  | 132  | 1.3802          | 0.2619   |
| 1.4045        | 13.0  | 143  | 1.3411          | 0.2619   |
| 1.4198        | 14.0  | 154  | 1.3835          | 0.2143   |
| 1.4696        | 15.0  | 165  | 1.3910          | 0.2381   |
| 1.4293        | 16.0  | 176  | 1.3850          | 0.2619   |
| 1.4145        | 17.0  | 187  | 1.3799          | 0.2619   |
| 1.4118        | 18.0  | 198  | 1.3312          | 0.4286   |
| 1.3961        | 19.0  | 209  | 1.4005          | 0.3095   |
| 1.3729        | 20.0  | 220  | 1.4623          | 0.2381   |
| 1.3634        | 21.0  | 231  | 1.3475          | 0.3333   |
| 1.3409        | 22.0  | 242  | 1.2301          | 0.4762   |
| 1.2756        | 23.0  | 253  | 1.3158          | 0.3333   |
| 1.2794        | 24.0  | 264  | 1.3782          | 0.2857   |
| 1.292         | 25.0  | 275  | 1.1772          | 0.4286   |
| 1.2588        | 26.0  | 286  | 1.2050          | 0.4048   |
| 1.286         | 27.0  | 297  | 1.1001          | 0.5      |
| 1.2265        | 28.0  | 308  | 1.1552          | 0.4762   |
| 1.2382        | 29.0  | 319  | 1.0964          | 0.4762   |
| 1.2498        | 30.0  | 330  | 1.1073          | 0.5476   |
| 1.1847        | 31.0  | 341  | 1.1735          | 0.4286   |
| 1.1883        | 32.0  | 352  | 1.1003          | 0.5238   |
| 1.2377        | 33.0  | 363  | 1.1848          | 0.4286   |
| 1.194         | 34.0  | 374  | 1.1790          | 0.4048   |
| 1.1793        | 35.0  | 385  | 1.1172          | 0.4524   |
| 1.1633        | 36.0  | 396  | 1.0734          | 0.4286   |
| 1.2232        | 37.0  | 407  | 1.1503          | 0.3810   |
| 1.1291        | 38.0  | 418  | 1.1260          | 0.4286   |
| 1.1962        | 39.0  | 429  | 1.2037          | 0.3333   |
| 1.1488        | 40.0  | 440  | 1.1801          | 0.3810   |
| 1.1343        | 41.0  | 451  | 1.1522          | 0.3810   |
| 1.086         | 42.0  | 462  | 1.2293          | 0.3333   |
| 1.1351        | 43.0  | 473  | 1.1654          | 0.3810   |
| 1.1115        | 44.0  | 484  | 1.1886          | 0.3571   |
| 1.0971        | 45.0  | 495  | 1.1887          | 0.3571   |
| 1.0881        | 46.0  | 506  | 1.1917          | 0.3333   |
| 1.1082        | 47.0  | 517  | 1.1917          | 0.3333   |
| 1.0843        | 48.0  | 528  | 1.1917          | 0.3333   |
| 1.097         | 49.0  | 539  | 1.1917          | 0.3333   |
| 1.093         | 50.0  | 550  | 1.1917          | 0.3333   |


### 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_RMSProp_lr001_fold4", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.3333333333333333, "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