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# HUSHEM_10x_beit_large_SGD_lr00001_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: 1.3396
- Accuracy: 0.3095

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5057        | 1.0   | 109  | 1.3964          | 0.3095   |
| 1.5502        | 2.0   | 218  | 1.3933          | 0.3095   |
| 1.5256        | 3.0   | 327  | 1.3904          | 0.3333   |
| 1.5942        | 4.0   | 436  | 1.3877          | 0.3333   |
| 1.5659        | 5.0   | 545  | 1.3850          | 0.3333   |
| 1.621         | 6.0   | 654  | 1.3825          | 0.3333   |
| 1.5747        | 7.0   | 763  | 1.3802          | 0.3333   |
| 1.4998        | 8.0   | 872  | 1.3779          | 0.3333   |
| 1.5126        | 9.0   | 981  | 1.3758          | 0.3333   |
| 1.5           | 10.0  | 1090 | 1.3737          | 0.3333   |
| 1.5328        | 11.0  | 1199 | 1.3717          | 0.3333   |
| 1.5935        | 12.0  | 1308 | 1.3697          | 0.3333   |
| 1.4547        | 13.0  | 1417 | 1.3679          | 0.3333   |
| 1.5249        | 14.0  | 1526 | 1.3661          | 0.3333   |
| 1.5715        | 15.0  | 1635 | 1.3644          | 0.3095   |
| 1.6195        | 16.0  | 1744 | 1.3627          | 0.3095   |
| 1.4934        | 17.0  | 1853 | 1.3612          | 0.3095   |
| 1.543         | 18.0  | 1962 | 1.3597          | 0.3095   |
| 1.5807        | 19.0  | 2071 | 1.3583          | 0.3095   |
| 1.5116        | 20.0  | 2180 | 1.3570          | 0.3095   |
| 1.5812        | 21.0  | 2289 | 1.3557          | 0.3095   |
| 1.4491        | 22.0  | 2398 | 1.3545          | 0.2857   |
| 1.4707        | 23.0  | 2507 | 1.3533          | 0.2857   |
| 1.4481        | 24.0  | 2616 | 1.3522          | 0.2857   |
| 1.485         | 25.0  | 2725 | 1.3512          | 0.2857   |
| 1.5637        | 26.0  | 2834 | 1.3502          | 0.2857   |
| 1.4757        | 27.0  | 2943 | 1.3492          | 0.2857   |
| 1.5524        | 28.0  | 3052 | 1.3483          | 0.3095   |
| 1.4858        | 29.0  | 3161 | 1.3475          | 0.3095   |
| 1.5334        | 30.0  | 3270 | 1.3467          | 0.3095   |
| 1.4924        | 31.0  | 3379 | 1.3459          | 0.3095   |
| 1.4942        | 32.0  | 3488 | 1.3452          | 0.3095   |
| 1.481         | 33.0  | 3597 | 1.3445          | 0.3095   |
| 1.4979        | 34.0  | 3706 | 1.3439          | 0.3095   |
| 1.4649        | 35.0  | 3815 | 1.3434          | 0.3095   |
| 1.5169        | 36.0  | 3924 | 1.3428          | 0.3095   |
| 1.4208        | 37.0  | 4033 | 1.3424          | 0.3095   |
| 1.4984        | 38.0  | 4142 | 1.3419          | 0.3095   |
| 1.4792        | 39.0  | 4251 | 1.3415          | 0.3095   |
| 1.5276        | 40.0  | 4360 | 1.3412          | 0.3095   |
| 1.5196        | 41.0  | 4469 | 1.3409          | 0.3095   |
| 1.4874        | 42.0  | 4578 | 1.3406          | 0.3095   |
| 1.4862        | 43.0  | 4687 | 1.3403          | 0.3095   |
| 1.478         | 44.0  | 4796 | 1.3401          | 0.3095   |
| 1.4827        | 45.0  | 4905 | 1.3400          | 0.3095   |
| 1.4713        | 46.0  | 5014 | 1.3398          | 0.3095   |
| 1.5321        | 47.0  | 5123 | 1.3397          | 0.3095   |
| 1.4897        | 48.0  | 5232 | 1.3397          | 0.3095   |
| 1.563         | 49.0  | 5341 | 1.3396          | 0.3095   |
| 1.5259        | 50.0  | 5450 | 1.3396          | 0.3095   |


### 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_fold4", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.30952380952380953, "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