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# HUSHEM_1x_beit_large_SGD_lr0001_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: 1.5616
- Accuracy: 0.2667

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.8013        | 1.0   | 11   | 1.8414          | 0.2444   |
| 1.7979        | 2.0   | 22   | 1.8235          | 0.2444   |
| 1.7999        | 3.0   | 33   | 1.8060          | 0.2444   |
| 1.7482        | 4.0   | 44   | 1.7895          | 0.2444   |
| 1.7146        | 5.0   | 55   | 1.7736          | 0.2444   |
| 1.734         | 6.0   | 66   | 1.7597          | 0.2444   |
| 1.7161        | 7.0   | 77   | 1.7461          | 0.2444   |
| 1.668         | 8.0   | 88   | 1.7337          | 0.2444   |
| 1.6688        | 9.0   | 99   | 1.7217          | 0.2444   |
| 1.6798        | 10.0  | 110  | 1.7095          | 0.2444   |
| 1.601         | 11.0  | 121  | 1.6988          | 0.2444   |
| 1.7256        | 12.0  | 132  | 1.6888          | 0.2444   |
| 1.5866        | 13.0  | 143  | 1.6787          | 0.2444   |
| 1.7175        | 14.0  | 154  | 1.6704          | 0.2444   |
| 1.6665        | 15.0  | 165  | 1.6622          | 0.2444   |
| 1.5847        | 16.0  | 176  | 1.6539          | 0.2444   |
| 1.5869        | 17.0  | 187  | 1.6461          | 0.2444   |
| 1.6437        | 18.0  | 198  | 1.6392          | 0.2667   |
| 1.5724        | 19.0  | 209  | 1.6332          | 0.2667   |
| 1.6097        | 20.0  | 220  | 1.6266          | 0.2667   |
| 1.5556        | 21.0  | 231  | 1.6211          | 0.2667   |
| 1.5875        | 22.0  | 242  | 1.6156          | 0.2667   |
| 1.5655        | 23.0  | 253  | 1.6104          | 0.2667   |
| 1.5891        | 24.0  | 264  | 1.6058          | 0.2667   |
| 1.4648        | 25.0  | 275  | 1.6017          | 0.2667   |
| 1.6611        | 26.0  | 286  | 1.5974          | 0.2667   |
| 1.5734        | 27.0  | 297  | 1.5938          | 0.2667   |
| 1.54          | 28.0  | 308  | 1.5901          | 0.2667   |
| 1.509         | 29.0  | 319  | 1.5865          | 0.2667   |
| 1.512         | 30.0  | 330  | 1.5833          | 0.2667   |
| 1.5372        | 31.0  | 341  | 1.5803          | 0.2667   |
| 1.534         | 32.0  | 352  | 1.5777          | 0.2667   |
| 1.5592        | 33.0  | 363  | 1.5752          | 0.2667   |
| 1.4895        | 34.0  | 374  | 1.5730          | 0.2667   |
| 1.5849        | 35.0  | 385  | 1.5710          | 0.2667   |
| 1.5213        | 36.0  | 396  | 1.5693          | 0.2667   |
| 1.5018        | 37.0  | 407  | 1.5678          | 0.2667   |
| 1.5318        | 38.0  | 418  | 1.5664          | 0.2667   |
| 1.5093        | 39.0  | 429  | 1.5651          | 0.2667   |
| 1.5389        | 40.0  | 440  | 1.5641          | 0.2667   |
| 1.537         | 41.0  | 451  | 1.5632          | 0.2667   |
| 1.507         | 42.0  | 462  | 1.5626          | 0.2667   |
| 1.5151        | 43.0  | 473  | 1.5621          | 0.2667   |
| 1.4979        | 44.0  | 484  | 1.5618          | 0.2667   |
| 1.4853        | 45.0  | 495  | 1.5616          | 0.2667   |
| 1.5775        | 46.0  | 506  | 1.5616          | 0.2667   |
| 1.4856        | 47.0  | 517  | 1.5616          | 0.2667   |
| 1.5188        | 48.0  | 528  | 1.5616          | 0.2667   |
| 1.5556        | 49.0  | 539  | 1.5616          | 0.2667   |
| 1.5404        | 50.0  | 550  | 1.5616          | 0.2667   |


### 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_lr0001_fold1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.26666666666666666, "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