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# HUSHEM_10x_beit_large_SGD_lr00001_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: 1.5014
- Accuracy: 0.2326

## 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: 1e-05
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6587        | 1.0   | 109  | 1.5852          | 0.3023   |
| 1.6177        | 2.0   | 218  | 1.5807          | 0.3023   |
| 1.6305        | 3.0   | 327  | 1.5765          | 0.3023   |
| 1.6322        | 4.0   | 436  | 1.5725          | 0.3023   |
| 1.7161        | 5.0   | 545  | 1.5686          | 0.3023   |
| 1.6277        | 6.0   | 654  | 1.5649          | 0.3023   |
| 1.5202        | 7.0   | 763  | 1.5614          | 0.3023   |
| 1.629         | 8.0   | 872  | 1.5580          | 0.2791   |
| 1.6319        | 9.0   | 981  | 1.5547          | 0.2791   |
| 1.6064        | 10.0  | 1090 | 1.5516          | 0.2791   |
| 1.6488        | 11.0  | 1199 | 1.5486          | 0.2791   |
| 1.6158        | 12.0  | 1308 | 1.5458          | 0.2791   |
| 1.6709        | 13.0  | 1417 | 1.5431          | 0.2791   |
| 1.5201        | 14.0  | 1526 | 1.5405          | 0.2791   |
| 1.5523        | 15.0  | 1635 | 1.5381          | 0.2791   |
| 1.6294        | 16.0  | 1744 | 1.5357          | 0.2791   |
| 1.5638        | 17.0  | 1853 | 1.5334          | 0.2791   |
| 1.6012        | 18.0  | 1962 | 1.5311          | 0.2791   |
| 1.5393        | 19.0  | 2071 | 1.5290          | 0.2791   |
| 1.689         | 20.0  | 2180 | 1.5270          | 0.2791   |
| 1.6381        | 21.0  | 2289 | 1.5252          | 0.2791   |
| 1.6082        | 22.0  | 2398 | 1.5234          | 0.2791   |
| 1.5965        | 23.0  | 2507 | 1.5217          | 0.2791   |
| 1.6016        | 24.0  | 2616 | 1.5200          | 0.2791   |
| 1.5284        | 25.0  | 2725 | 1.5185          | 0.2791   |
| 1.4993        | 26.0  | 2834 | 1.5170          | 0.2791   |
| 1.6657        | 27.0  | 2943 | 1.5156          | 0.2791   |
| 1.5397        | 28.0  | 3052 | 1.5143          | 0.2558   |
| 1.5604        | 29.0  | 3161 | 1.5130          | 0.2558   |
| 1.5579        | 30.0  | 3270 | 1.5119          | 0.2558   |
| 1.5726        | 31.0  | 3379 | 1.5108          | 0.2326   |
| 1.6808        | 32.0  | 3488 | 1.5097          | 0.2326   |
| 1.5813        | 33.0  | 3597 | 1.5087          | 0.2326   |
| 1.5419        | 34.0  | 3706 | 1.5078          | 0.2326   |
| 1.4971        | 35.0  | 3815 | 1.5070          | 0.2326   |
| 1.5779        | 36.0  | 3924 | 1.5062          | 0.2326   |
| 1.6548        | 37.0  | 4033 | 1.5055          | 0.2326   |
| 1.581         | 38.0  | 4142 | 1.5049          | 0.2326   |
| 1.6058        | 39.0  | 4251 | 1.5043          | 0.2326   |
| 1.6957        | 40.0  | 4360 | 1.5037          | 0.2326   |
| 1.5413        | 41.0  | 4469 | 1.5032          | 0.2326   |
| 1.5187        | 42.0  | 4578 | 1.5028          | 0.2326   |
| 1.5686        | 43.0  | 4687 | 1.5024          | 0.2326   |
| 1.6407        | 44.0  | 4796 | 1.5021          | 0.2326   |
| 1.538         | 45.0  | 4905 | 1.5019          | 0.2326   |
| 1.5785        | 46.0  | 5014 | 1.5017          | 0.2326   |
| 1.5904        | 47.0  | 5123 | 1.5016          | 0.2326   |
| 1.504         | 48.0  | 5232 | 1.5015          | 0.2326   |
| 1.5301        | 49.0  | 5341 | 1.5014          | 0.2326   |
| 1.4544        | 50.0  | 5450 | 1.5014          | 0.2326   |


### 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_lr00001_fold3", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.23255813953488372, "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