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# HUSHEM_10x_beit_large_SGD_lr0001_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: 1.1520
- Accuracy: 0.5476

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6224        | 1.0   | 109  | 1.5474          | 0.3333   |
| 1.5479        | 2.0   | 218  | 1.5081          | 0.3333   |
| 1.5628        | 3.0   | 327  | 1.4746          | 0.3571   |
| 1.4652        | 4.0   | 436  | 1.4472          | 0.3571   |
| 1.487         | 5.0   | 545  | 1.4240          | 0.3333   |
| 1.4406        | 6.0   | 654  | 1.4045          | 0.3095   |
| 1.429         | 7.0   | 763  | 1.3860          | 0.3095   |
| 1.4589        | 8.0   | 872  | 1.3701          | 0.3095   |
| 1.3775        | 9.0   | 981  | 1.3555          | 0.3095   |
| 1.3888        | 10.0  | 1090 | 1.3424          | 0.3095   |
| 1.4159        | 11.0  | 1199 | 1.3301          | 0.3333   |
| 1.3679        | 12.0  | 1308 | 1.3188          | 0.3333   |
| 1.3718        | 13.0  | 1417 | 1.3079          | 0.3333   |
| 1.3151        | 14.0  | 1526 | 1.2985          | 0.3333   |
| 1.3159        | 15.0  | 1635 | 1.2894          | 0.3333   |
| 1.3037        | 16.0  | 1744 | 1.2799          | 0.3571   |
| 1.3131        | 17.0  | 1853 | 1.2712          | 0.3571   |
| 1.3204        | 18.0  | 1962 | 1.2631          | 0.3810   |
| 1.2834        | 19.0  | 2071 | 1.2556          | 0.4048   |
| 1.2861        | 20.0  | 2180 | 1.2481          | 0.4048   |
| 1.1973        | 21.0  | 2289 | 1.2411          | 0.4286   |
| 1.1751        | 22.0  | 2398 | 1.2347          | 0.4524   |
| 1.2964        | 23.0  | 2507 | 1.2283          | 0.4524   |
| 1.2785        | 24.0  | 2616 | 1.2221          | 0.4524   |
| 1.1738        | 25.0  | 2725 | 1.2163          | 0.5      |
| 1.2192        | 26.0  | 2834 | 1.2107          | 0.5      |
| 1.2254        | 27.0  | 2943 | 1.2056          | 0.5      |
| 1.2256        | 28.0  | 3052 | 1.2006          | 0.5      |
| 1.2611        | 29.0  | 3161 | 1.1958          | 0.5      |
| 1.211         | 30.0  | 3270 | 1.1916          | 0.5      |
| 1.2076        | 31.0  | 3379 | 1.1874          | 0.5      |
| 1.2352        | 32.0  | 3488 | 1.1835          | 0.5      |
| 1.2074        | 33.0  | 3597 | 1.1801          | 0.5      |
| 1.2427        | 34.0  | 3706 | 1.1766          | 0.5      |
| 1.1569        | 35.0  | 3815 | 1.1733          | 0.5      |
| 1.1834        | 36.0  | 3924 | 1.1703          | 0.5      |
| 1.1656        | 37.0  | 4033 | 1.1676          | 0.5      |
| 1.1638        | 38.0  | 4142 | 1.1651          | 0.5      |
| 1.1598        | 39.0  | 4251 | 1.1628          | 0.5      |
| 1.2395        | 40.0  | 4360 | 1.1608          | 0.5      |
| 1.1395        | 41.0  | 4469 | 1.1591          | 0.5      |
| 1.1265        | 42.0  | 4578 | 1.1574          | 0.5238   |
| 1.1333        | 43.0  | 4687 | 1.1559          | 0.5476   |
| 1.2051        | 44.0  | 4796 | 1.1549          | 0.5476   |
| 1.1575        | 45.0  | 4905 | 1.1539          | 0.5476   |
| 1.1803        | 46.0  | 5014 | 1.1531          | 0.5476   |
| 1.1752        | 47.0  | 5123 | 1.1526          | 0.5476   |
| 1.1928        | 48.0  | 5232 | 1.1522          | 0.5476   |
| 1.1414        | 49.0  | 5341 | 1.1521          | 0.5476   |
| 1.2117        | 50.0  | 5450 | 1.1520          | 0.5476   |


### 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_10x_beit_large_SGD_lr0001_fold4", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.5476190476190477, "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