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# HUSHEM_5x_beit_large_SGD_lr001_fold1

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: 1.0377
- Accuracy: 0.5111

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6512        | 1.0   | 54   | 1.7415          | 0.2      |
| 1.5367        | 2.0   | 108  | 1.6321          | 0.2      |
| 1.3703        | 3.0   | 162  | 1.5798          | 0.2      |
| 1.3177        | 4.0   | 216  | 1.5313          | 0.2667   |
| 1.2709        | 5.0   | 270  | 1.4892          | 0.3333   |
| 1.1725        | 6.0   | 324  | 1.4506          | 0.3333   |
| 1.1215        | 7.0   | 378  | 1.4232          | 0.3556   |
| 1.0844        | 8.0   | 432  | 1.4012          | 0.3778   |
| 1.0085        | 9.0   | 486  | 1.3758          | 0.4222   |
| 0.968         | 10.0  | 540  | 1.3439          | 0.4      |
| 0.892         | 11.0  | 594  | 1.3214          | 0.4444   |
| 0.8571        | 12.0  | 648  | 1.2924          | 0.4667   |
| 0.9035        | 13.0  | 702  | 1.2683          | 0.5111   |
| 0.8368        | 14.0  | 756  | 1.2531          | 0.5111   |
| 0.7802        | 15.0  | 810  | 1.2459          | 0.4889   |
| 0.739         | 16.0  | 864  | 1.2242          | 0.4889   |
| 0.7059        | 17.0  | 918  | 1.2063          | 0.4889   |
| 0.6713        | 18.0  | 972  | 1.1932          | 0.5111   |
| 0.6461        | 19.0  | 1026 | 1.1819          | 0.5111   |
| 0.5887        | 20.0  | 1080 | 1.1728          | 0.5333   |
| 0.5957        | 21.0  | 1134 | 1.1633          | 0.5111   |
| 0.5724        | 22.0  | 1188 | 1.1526          | 0.5111   |
| 0.4974        | 23.0  | 1242 | 1.1424          | 0.4889   |
| 0.5118        | 24.0  | 1296 | 1.1369          | 0.5111   |
| 0.5581        | 25.0  | 1350 | 1.1248          | 0.5111   |
| 0.5355        | 26.0  | 1404 | 1.1146          | 0.4889   |
| 0.4834        | 27.0  | 1458 | 1.1083          | 0.5111   |
| 0.5562        | 28.0  | 1512 | 1.0959          | 0.5111   |
| 0.4641        | 29.0  | 1566 | 1.0903          | 0.4889   |
| 0.4973        | 30.0  | 1620 | 1.0793          | 0.5333   |
| 0.4248        | 31.0  | 1674 | 1.0768          | 0.5111   |
| 0.5027        | 32.0  | 1728 | 1.0699          | 0.5333   |
| 0.4186        | 33.0  | 1782 | 1.0673          | 0.5333   |
| 0.3825        | 34.0  | 1836 | 1.0675          | 0.5111   |
| 0.4434        | 35.0  | 1890 | 1.0639          | 0.5111   |
| 0.422         | 36.0  | 1944 | 1.0603          | 0.5111   |
| 0.3693        | 37.0  | 1998 | 1.0564          | 0.5111   |
| 0.4438        | 38.0  | 2052 | 1.0565          | 0.5111   |
| 0.3763        | 39.0  | 2106 | 1.0509          | 0.5111   |
| 0.389         | 40.0  | 2160 | 1.0479          | 0.5111   |
| 0.4117        | 41.0  | 2214 | 1.0467          | 0.4889   |
| 0.3583        | 42.0  | 2268 | 1.0469          | 0.5111   |
| 0.384         | 43.0  | 2322 | 1.0427          | 0.5111   |
| 0.3741        | 44.0  | 2376 | 1.0408          | 0.5111   |
| 0.3442        | 45.0  | 2430 | 1.0411          | 0.5111   |
| 0.3852        | 46.0  | 2484 | 1.0390          | 0.5111   |
| 0.426         | 47.0  | 2538 | 1.0382          | 0.5111   |
| 0.3839        | 48.0  | 2592 | 1.0378          | 0.5111   |
| 0.43          | 49.0  | 2646 | 1.0377          | 0.5111   |
| 0.3621        | 50.0  | 2700 | 1.0377          | 0.5111   |


### 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_5x_beit_large_SGD_lr001_fold1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.5111111111111111, "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