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# HUSHEM_1x_beit_large_SGD_lr001_fold5

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: 1.0502
- Accuracy: 0.5366

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6899        | 1.0   | 11   | 1.5027          | 0.2439   |
| 1.553         | 2.0   | 22   | 1.4446          | 0.2683   |
| 1.5077        | 3.0   | 33   | 1.4029          | 0.3415   |
| 1.4828        | 4.0   | 44   | 1.3700          | 0.3659   |
| 1.4538        | 5.0   | 55   | 1.3459          | 0.3902   |
| 1.4102        | 6.0   | 66   | 1.3244          | 0.4634   |
| 1.3789        | 7.0   | 77   | 1.3058          | 0.4146   |
| 1.4303        | 8.0   | 88   | 1.2893          | 0.4146   |
| 1.3768        | 9.0   | 99   | 1.2742          | 0.4146   |
| 1.3294        | 10.0  | 110  | 1.2584          | 0.4390   |
| 1.3558        | 11.0  | 121  | 1.2453          | 0.4390   |
| 1.3469        | 12.0  | 132  | 1.2330          | 0.4634   |
| 1.2777        | 13.0  | 143  | 1.2199          | 0.4634   |
| 1.2913        | 14.0  | 154  | 1.2095          | 0.4390   |
| 1.2182        | 15.0  | 165  | 1.1978          | 0.4634   |
| 1.297         | 16.0  | 176  | 1.1870          | 0.4634   |
| 1.2373        | 17.0  | 187  | 1.1770          | 0.4146   |
| 1.2163        | 18.0  | 198  | 1.1685          | 0.4146   |
| 1.2321        | 19.0  | 209  | 1.1593          | 0.4146   |
| 1.2261        | 20.0  | 220  | 1.1507          | 0.4146   |
| 1.2054        | 21.0  | 231  | 1.1417          | 0.4390   |
| 1.2016        | 22.0  | 242  | 1.1332          | 0.4390   |
| 1.1366        | 23.0  | 253  | 1.1269          | 0.4634   |
| 1.1577        | 24.0  | 264  | 1.1207          | 0.4634   |
| 1.2195        | 25.0  | 275  | 1.1138          | 0.5122   |
| 1.0543        | 26.0  | 286  | 1.1081          | 0.5122   |
| 1.1635        | 27.0  | 297  | 1.1016          | 0.5122   |
| 1.1403        | 28.0  | 308  | 1.0963          | 0.5366   |
| 1.1318        | 29.0  | 319  | 1.0916          | 0.5366   |
| 1.1222        | 30.0  | 330  | 1.0864          | 0.5122   |
| 1.1384        | 31.0  | 341  | 1.0822          | 0.5366   |
| 1.136         | 32.0  | 352  | 1.0782          | 0.5366   |
| 1.1198        | 33.0  | 363  | 1.0745          | 0.5122   |
| 1.0932        | 34.0  | 374  | 1.0710          | 0.5122   |
| 1.1294        | 35.0  | 385  | 1.0675          | 0.5122   |
| 1.0687        | 36.0  | 396  | 1.0645          | 0.5366   |
| 1.0661        | 37.0  | 407  | 1.0615          | 0.5366   |
| 1.1371        | 38.0  | 418  | 1.0588          | 0.5366   |
| 1.0674        | 39.0  | 429  | 1.0565          | 0.5366   |
| 1.0924        | 40.0  | 440  | 1.0545          | 0.5366   |
| 1.0706        | 41.0  | 451  | 1.0530          | 0.5366   |
| 1.0758        | 42.0  | 462  | 1.0520          | 0.5366   |
| 1.0845        | 43.0  | 473  | 1.0510          | 0.5366   |
| 1.0644        | 44.0  | 484  | 1.0505          | 0.5366   |
| 1.0757        | 45.0  | 495  | 1.0502          | 0.5366   |
| 1.0954        | 46.0  | 506  | 1.0502          | 0.5366   |
| 1.0937        | 47.0  | 517  | 1.0502          | 0.5366   |
| 1.1193        | 48.0  | 528  | 1.0502          | 0.5366   |
| 1.0657        | 49.0  | 539  | 1.0502          | 0.5366   |
| 1.0892        | 50.0  | 550  | 1.0502          | 0.5366   |


### 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_fold5", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.5365853658536586, "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