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# HUSHEM_10x_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: 3.0785
- Accuracy: 0.6429

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2956        | 1.0   | 109  | 1.1743          | 0.5238   |
| 1.1075        | 2.0   | 218  | 0.8204          | 0.7143   |
| 1.0408        | 3.0   | 327  | 0.8480          | 0.8095   |
| 1.0142        | 4.0   | 436  | 0.8823          | 0.6429   |
| 1.008         | 5.0   | 545  | 0.7463          | 0.7619   |
| 0.9105        | 6.0   | 654  | 0.6735          | 0.7143   |
| 0.7804        | 7.0   | 763  | 0.6784          | 0.8095   |
| 0.8855        | 8.0   | 872  | 0.6478          | 0.7619   |
| 0.8014        | 9.0   | 981  | 0.8069          | 0.6667   |
| 0.7934        | 10.0  | 1090 | 0.8846          | 0.6905   |
| 0.7749        | 11.0  | 1199 | 0.6566          | 0.7143   |
| 0.8954        | 12.0  | 1308 | 0.5685          | 0.7619   |
| 0.7779        | 13.0  | 1417 | 0.8226          | 0.7143   |
| 0.8051        | 14.0  | 1526 | 0.6020          | 0.7143   |
| 0.7028        | 15.0  | 1635 | 0.7444          | 0.6905   |
| 0.6039        | 16.0  | 1744 | 0.8514          | 0.6429   |
| 0.7046        | 17.0  | 1853 | 0.8441          | 0.6905   |
| 0.7554        | 18.0  | 1962 | 0.7987          | 0.7619   |
| 0.6366        | 19.0  | 2071 | 0.6329          | 0.7619   |
| 0.5227        | 20.0  | 2180 | 0.7628          | 0.7619   |
| 0.5252        | 21.0  | 2289 | 0.6947          | 0.7619   |
| 0.5317        | 22.0  | 2398 | 0.8266          | 0.6905   |
| 0.5793        | 23.0  | 2507 | 0.9462          | 0.5476   |
| 0.5184        | 24.0  | 2616 | 0.7356          | 0.6667   |
| 0.4388        | 25.0  | 2725 | 0.9818          | 0.6905   |
| 0.4935        | 26.0  | 2834 | 0.7999          | 0.6905   |
| 0.4406        | 27.0  | 2943 | 0.7226          | 0.7381   |
| 0.4352        | 28.0  | 3052 | 0.7778          | 0.7381   |
| 0.4836        | 29.0  | 3161 | 1.1951          | 0.6667   |
| 0.3461        | 30.0  | 3270 | 0.9757          | 0.6905   |
| 0.3127        | 31.0  | 3379 | 1.2253          | 0.6667   |
| 0.3127        | 32.0  | 3488 | 1.1850          | 0.6905   |
| 0.3104        | 33.0  | 3597 | 1.1795          | 0.6667   |
| 0.2027        | 34.0  | 3706 | 1.4336          | 0.7143   |
| 0.3264        | 35.0  | 3815 | 1.4082          | 0.7143   |
| 0.1968        | 36.0  | 3924 | 2.1015          | 0.6905   |
| 0.1433        | 37.0  | 4033 | 2.4844          | 0.6190   |
| 0.092         | 38.0  | 4142 | 2.4451          | 0.7143   |
| 0.1224        | 39.0  | 4251 | 2.3579          | 0.7143   |
| 0.0829        | 40.0  | 4360 | 2.0111          | 0.6667   |
| 0.0889        | 41.0  | 4469 | 2.0969          | 0.7143   |
| 0.0461        | 42.0  | 4578 | 2.5305          | 0.6667   |
| 0.0066        | 43.0  | 4687 | 3.4013          | 0.6190   |
| 0.0596        | 44.0  | 4796 | 3.7733          | 0.6429   |
| 0.0934        | 45.0  | 4905 | 3.3504          | 0.6667   |
| 0.0691        | 46.0  | 5014 | 3.3924          | 0.6429   |
| 0.0007        | 47.0  | 5123 | 3.3655          | 0.6429   |
| 0.0045        | 48.0  | 5232 | 3.1218          | 0.6667   |
| 0.0045        | 49.0  | 5341 | 3.0858          | 0.6429   |
| 0.0998        | 50.0  | 5450 | 3.0785          | 0.6429   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/beit-large-patch16-224", "model-index": [{"name": "HUSHEM_10x_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": 0.6428571428571429, "name": "Accuracy"}]}]}]}
transformers safetensors 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