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# HUSHEM_1x_beit_large_Adamax_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: 4.1622
- Accuracy: 0.4

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.7167        | 1.0   | 11   | 1.5325          | 0.2444   |
| 1.5647        | 2.0   | 22   | 1.3821          | 0.2667   |
| 1.3959        | 3.0   | 33   | 1.4230          | 0.2667   |
| 1.2545        | 4.0   | 44   | 1.8081          | 0.3778   |
| 1.2023        | 5.0   | 55   | 2.0448          | 0.2444   |
| 1.1409        | 6.0   | 66   | 2.2952          | 0.2444   |
| 1.3393        | 7.0   | 77   | 1.4236          | 0.3333   |
| 1.2186        | 8.0   | 88   | 1.8959          | 0.4      |
| 1.1108        | 9.0   | 99   | 1.6223          | 0.4      |
| 0.976         | 10.0  | 110  | 2.6290          | 0.3556   |
| 1.0738        | 11.0  | 121  | 2.0900          | 0.4      |
| 0.9901        | 12.0  | 132  | 2.0797          | 0.4      |
| 0.8371        | 13.0  | 143  | 1.6151          | 0.4      |
| 0.8541        | 14.0  | 154  | 1.7892          | 0.4222   |
| 0.7089        | 15.0  | 165  | 1.2538          | 0.5556   |
| 0.7246        | 16.0  | 176  | 1.3985          | 0.4222   |
| 0.822         | 17.0  | 187  | 1.7312          | 0.5111   |
| 0.5316        | 18.0  | 198  | 2.3146          | 0.4444   |
| 0.6494        | 19.0  | 209  | 2.7752          | 0.4222   |
| 0.646         | 20.0  | 220  | 1.5220          | 0.4889   |
| 0.6195        | 21.0  | 231  | 2.0988          | 0.4444   |
| 0.5198        | 22.0  | 242  | 1.8505          | 0.4667   |
| 0.4322        | 23.0  | 253  | 1.6181          | 0.4444   |
| 0.3354        | 24.0  | 264  | 2.4542          | 0.4222   |
| 0.3882        | 25.0  | 275  | 2.8237          | 0.4444   |
| 0.3063        | 26.0  | 286  | 2.1988          | 0.4667   |
| 0.4507        | 27.0  | 297  | 2.1009          | 0.4889   |
| 0.2895        | 28.0  | 308  | 1.6955          | 0.5556   |
| 0.3158        | 29.0  | 319  | 3.4839          | 0.4      |
| 0.2009        | 30.0  | 330  | 3.1595          | 0.4222   |
| 0.398         | 31.0  | 341  | 1.8421          | 0.5333   |
| 0.233         | 32.0  | 352  | 2.2779          | 0.5333   |
| 0.1655        | 33.0  | 363  | 2.1839          | 0.5111   |
| 0.07          | 34.0  | 374  | 3.2356          | 0.5111   |
| 0.1553        | 35.0  | 385  | 3.0877          | 0.5111   |
| 0.0416        | 36.0  | 396  | 3.4936          | 0.4889   |
| 0.0424        | 37.0  | 407  | 3.8944          | 0.4667   |
| 0.016         | 38.0  | 418  | 4.3907          | 0.4      |
| 0.0688        | 39.0  | 429  | 3.8439          | 0.4667   |
| 0.0249        | 40.0  | 440  | 3.9203          | 0.4889   |
| 0.011         | 41.0  | 451  | 3.7889          | 0.5111   |
| 0.0008        | 42.0  | 462  | 4.0288          | 0.4      |
| 0.0408        | 43.0  | 473  | 4.1656          | 0.4222   |
| 0.001         | 44.0  | 484  | 4.2301          | 0.4      |
| 0.0435        | 45.0  | 495  | 4.1686          | 0.4      |
| 0.0681        | 46.0  | 506  | 4.1622          | 0.4      |
| 0.0029        | 47.0  | 517  | 4.1622          | 0.4      |
| 0.0055        | 48.0  | 528  | 4.1622          | 0.4      |
| 0.0101        | 49.0  | 539  | 4.1622          | 0.4      |
| 0.0138        | 50.0  | 550  | 4.1622          | 0.4      |


### 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_fold1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.4, "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