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# HUSHEM_1x_beit_large_SGD_lr001_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: 1.0888
- 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: 0.001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6204        | 1.0   | 11   | 1.5243          | 0.3333   |
| 1.5927        | 2.0   | 22   | 1.4688          | 0.3571   |
| 1.5023        | 3.0   | 33   | 1.4237          | 0.3095   |
| 1.4501        | 4.0   | 44   | 1.3875          | 0.3095   |
| 1.5009        | 5.0   | 55   | 1.3600          | 0.3095   |
| 1.3847        | 6.0   | 66   | 1.3370          | 0.3095   |
| 1.4089        | 7.0   | 77   | 1.3167          | 0.3095   |
| 1.3417        | 8.0   | 88   | 1.3021          | 0.3095   |
| 1.3379        | 9.0   | 99   | 1.2866          | 0.3333   |
| 1.3295        | 10.0  | 110  | 1.2729          | 0.3333   |
| 1.3169        | 11.0  | 121  | 1.2605          | 0.3333   |
| 1.2673        | 12.0  | 132  | 1.2473          | 0.3810   |
| 1.2953        | 13.0  | 143  | 1.2365          | 0.4286   |
| 1.2285        | 14.0  | 154  | 1.2264          | 0.4048   |
| 1.2967        | 15.0  | 165  | 1.2171          | 0.4048   |
| 1.2184        | 16.0  | 176  | 1.2097          | 0.4524   |
| 1.2328        | 17.0  | 187  | 1.1986          | 0.4286   |
| 1.2051        | 18.0  | 198  | 1.1913          | 0.4524   |
| 1.214         | 19.0  | 209  | 1.1836          | 0.4762   |
| 1.1724        | 20.0  | 220  | 1.1768          | 0.5      |
| 1.1806        | 21.0  | 231  | 1.1680          | 0.5      |
| 1.1526        | 22.0  | 242  | 1.1606          | 0.5      |
| 1.1784        | 23.0  | 253  | 1.1544          | 0.5      |
| 1.1479        | 24.0  | 264  | 1.1485          | 0.5      |
| 1.2084        | 25.0  | 275  | 1.1422          | 0.5      |
| 1.1066        | 26.0  | 286  | 1.1370          | 0.5      |
| 1.1382        | 27.0  | 297  | 1.1313          | 0.5238   |
| 1.1556        | 28.0  | 308  | 1.1283          | 0.5238   |
| 1.0983        | 29.0  | 319  | 1.1243          | 0.5238   |
| 1.1231        | 30.0  | 330  | 1.1207          | 0.5238   |
| 1.1163        | 31.0  | 341  | 1.1170          | 0.5238   |
| 1.0661        | 32.0  | 352  | 1.1136          | 0.5238   |
| 1.1053        | 33.0  | 363  | 1.1106          | 0.5476   |
| 1.0873        | 34.0  | 374  | 1.1079          | 0.5476   |
| 1.1309        | 35.0  | 385  | 1.1040          | 0.5476   |
| 1.1064        | 36.0  | 396  | 1.1010          | 0.5476   |
| 1.0398        | 37.0  | 407  | 1.0984          | 0.5476   |
| 1.0719        | 38.0  | 418  | 1.0962          | 0.5476   |
| 1.1239        | 39.0  | 429  | 1.0934          | 0.5476   |
| 1.0677        | 40.0  | 440  | 1.0926          | 0.5476   |
| 1.0845        | 41.0  | 451  | 1.0914          | 0.5476   |
| 1.0436        | 42.0  | 462  | 1.0903          | 0.5476   |
| 1.0716        | 43.0  | 473  | 1.0894          | 0.5476   |
| 1.0648        | 44.0  | 484  | 1.0890          | 0.5476   |
| 1.0799        | 45.0  | 495  | 1.0888          | 0.5476   |
| 1.0651        | 46.0  | 506  | 1.0888          | 0.5476   |
| 1.0693        | 47.0  | 517  | 1.0888          | 0.5476   |
| 1.0513        | 48.0  | 528  | 1.0888          | 0.5476   |
| 1.0479        | 49.0  | 539  | 1.0888          | 0.5476   |
| 1.0392        | 50.0  | 550  | 1.0888          | 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_1x_beit_large_SGD_lr001_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