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# HUSHEM_10x_beit_large_Adamax_lr00001_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: 0.0247
- Accuracy: 1.0

## 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: 1e-05
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1935        | 1.0   | 109  | 0.2588          | 0.9524   |
| 0.0118        | 2.0   | 218  | 0.1288          | 0.9524   |
| 0.0029        | 3.0   | 327  | 0.1318          | 0.9524   |
| 0.0016        | 4.0   | 436  | 0.1272          | 0.9524   |
| 0.0004        | 5.0   | 545  | 0.0767          | 0.9762   |
| 0.0004        | 6.0   | 654  | 0.1274          | 0.9524   |
| 0.0002        | 7.0   | 763  | 0.1261          | 0.9524   |
| 0.0002        | 8.0   | 872  | 0.1802          | 0.9524   |
| 0.0001        | 9.0   | 981  | 0.0696          | 0.9524   |
| 0.0001        | 10.0  | 1090 | 0.1060          | 0.9524   |
| 0.0002        | 11.0  | 1199 | 0.0730          | 0.9762   |
| 0.0001        | 12.0  | 1308 | 0.1066          | 0.9524   |
| 0.0001        | 13.0  | 1417 | 0.1152          | 0.9286   |
| 0.0001        | 14.0  | 1526 | 0.1111          | 0.9286   |
| 0.0           | 15.0  | 1635 | 0.1110          | 0.9762   |
| 0.0           | 16.0  | 1744 | 0.1134          | 0.9762   |
| 0.0           | 17.0  | 1853 | 0.1100          | 0.9524   |
| 0.0001        | 18.0  | 1962 | 0.1006          | 0.9524   |
| 0.0           | 19.0  | 2071 | 0.1003          | 0.9762   |
| 0.0001        | 20.0  | 2180 | 0.1123          | 0.9762   |
| 0.0           | 21.0  | 2289 | 0.0971          | 0.9524   |
| 0.0           | 22.0  | 2398 | 0.0758          | 0.9524   |
| 0.0001        | 23.0  | 2507 | 0.0752          | 0.9524   |
| 0.0001        | 24.0  | 2616 | 0.0597          | 0.9762   |
| 0.0           | 25.0  | 2725 | 0.0521          | 0.9524   |
| 0.0           | 26.0  | 2834 | 0.0422          | 0.9762   |
| 0.0           | 27.0  | 2943 | 0.0696          | 0.9524   |
| 0.0           | 28.0  | 3052 | 0.0547          | 0.9762   |
| 0.0           | 29.0  | 3161 | 0.0312          | 0.9762   |
| 0.0           | 30.0  | 3270 | 0.0393          | 0.9762   |
| 0.0           | 31.0  | 3379 | 0.0423          | 0.9762   |
| 0.0           | 32.0  | 3488 | 0.0425          | 0.9762   |
| 0.0           | 33.0  | 3597 | 0.0422          | 0.9524   |
| 0.0           | 34.0  | 3706 | 0.0326          | 0.9762   |
| 0.0           | 35.0  | 3815 | 0.0169          | 1.0      |
| 0.0           | 36.0  | 3924 | 0.0224          | 0.9762   |
| 0.0           | 37.0  | 4033 | 0.0163          | 1.0      |
| 0.0           | 38.0  | 4142 | 0.0295          | 0.9762   |
| 0.0           | 39.0  | 4251 | 0.0299          | 0.9762   |
| 0.0           | 40.0  | 4360 | 0.0305          | 0.9762   |
| 0.0           | 41.0  | 4469 | 0.0368          | 0.9762   |
| 0.0           | 42.0  | 4578 | 0.0350          | 0.9762   |
| 0.0           | 43.0  | 4687 | 0.0352          | 0.9762   |
| 0.0           | 44.0  | 4796 | 0.0331          | 0.9762   |
| 0.0           | 45.0  | 4905 | 0.0251          | 1.0      |
| 0.0           | 46.0  | 5014 | 0.0258          | 1.0      |
| 0.0           | 47.0  | 5123 | 0.0250          | 1.0      |
| 0.0           | 48.0  | 5232 | 0.0248          | 1.0      |
| 0.0           | 49.0  | 5341 | 0.0248          | 1.0      |
| 0.0           | 50.0  | 5450 | 0.0247          | 1.0      |


### 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_lr00001_fold4", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 1.0, "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