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# HUSHEM_1x_beit_large_Adamax_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: 5.3176
- Accuracy: 0.6190

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.1535        | 1.0   | 11   | 1.4504          | 0.2619   |
| 1.5458        | 2.0   | 22   | 1.3780          | 0.2381   |
| 1.4041        | 3.0   | 33   | 1.4503          | 0.2619   |
| 1.37          | 4.0   | 44   | 1.2595          | 0.5952   |
| 1.3565        | 5.0   | 55   | 1.5363          | 0.2381   |
| 1.2373        | 6.0   | 66   | 1.2032          | 0.4524   |
| 1.3062        | 7.0   | 77   | 1.0928          | 0.5476   |
| 1.1874        | 8.0   | 88   | 1.0828          | 0.4762   |
| 1.0692        | 9.0   | 99   | 1.1873          | 0.4762   |
| 1.0805        | 10.0  | 110  | 0.8316          | 0.6190   |
| 0.9161        | 11.0  | 121  | 0.8602          | 0.6905   |
| 0.8539        | 12.0  | 132  | 0.9036          | 0.6190   |
| 0.8664        | 13.0  | 143  | 0.8393          | 0.6667   |
| 0.9116        | 14.0  | 154  | 0.7515          | 0.7619   |
| 0.7457        | 15.0  | 165  | 0.9878          | 0.5238   |
| 0.7731        | 16.0  | 176  | 0.8686          | 0.6667   |
| 0.7102        | 17.0  | 187  | 0.8251          | 0.7381   |
| 0.5988        | 18.0  | 198  | 1.3792          | 0.4762   |
| 0.6823        | 19.0  | 209  | 0.9138          | 0.5952   |
| 0.7671        | 20.0  | 220  | 0.8440          | 0.7143   |
| 0.5578        | 21.0  | 231  | 1.0367          | 0.6905   |
| 0.7834        | 22.0  | 242  | 0.8693          | 0.7143   |
| 0.5401        | 23.0  | 253  | 1.1986          | 0.5714   |
| 0.422         | 24.0  | 264  | 1.5622          | 0.6905   |
| 0.4731        | 25.0  | 275  | 2.5810          | 0.5238   |
| 0.4577        | 26.0  | 286  | 1.5420          | 0.5476   |
| 0.3721        | 27.0  | 297  | 1.5307          | 0.7381   |
| 0.3697        | 28.0  | 308  | 1.7836          | 0.6905   |
| 0.4593        | 29.0  | 319  | 1.7706          | 0.5714   |
| 0.3682        | 30.0  | 330  | 2.5302          | 0.4762   |
| 0.2093        | 31.0  | 341  | 2.4689          | 0.5952   |
| 0.2616        | 32.0  | 352  | 3.1679          | 0.5952   |
| 0.0859        | 33.0  | 363  | 5.7128          | 0.5238   |
| 0.1749        | 34.0  | 374  | 3.9971          | 0.6905   |
| 0.1157        | 35.0  | 385  | 4.4136          | 0.6190   |
| 0.0781        | 36.0  | 396  | 4.0316          | 0.5714   |
| 0.0911        | 37.0  | 407  | 5.6644          | 0.5952   |
| 0.0797        | 38.0  | 418  | 5.0499          | 0.5714   |
| 0.2345        | 39.0  | 429  | 4.5360          | 0.6190   |
| 0.0246        | 40.0  | 440  | 4.6485          | 0.6667   |
| 0.0153        | 41.0  | 451  | 4.9095          | 0.6190   |
| 0.0453        | 42.0  | 462  | 5.2430          | 0.6190   |
| 0.071         | 43.0  | 473  | 5.2232          | 0.6190   |
| 0.05          | 44.0  | 484  | 5.2476          | 0.6190   |
| 0.0155        | 45.0  | 495  | 5.3113          | 0.6190   |
| 0.0271        | 46.0  | 506  | 5.3176          | 0.6190   |
| 0.0065        | 47.0  | 517  | 5.3176          | 0.6190   |
| 0.0006        | 48.0  | 528  | 5.3176          | 0.6190   |
| 0.0687        | 49.0  | 539  | 5.3176          | 0.6190   |
| 0.012         | 50.0  | 550  | 5.3176          | 0.6190   |


### 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_Adamax_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": 0.6190476190476191, "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