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# HUSHEM_10x_beit_large_RMSProp_lr00001_fold3

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: 1.2127
- Accuracy: 0.8605

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0244        | 1.0   | 109  | 0.4419          | 0.8372   |
| 0.0381        | 2.0   | 218  | 0.6745          | 0.8372   |
| 0.0019        | 3.0   | 327  | 0.7648          | 0.8837   |
| 0.0002        | 4.0   | 436  | 0.8088          | 0.8605   |
| 0.0001        | 5.0   | 545  | 0.7775          | 0.8372   |
| 0.0013        | 6.0   | 654  | 0.7683          | 0.8837   |
| 0.0           | 7.0   | 763  | 0.6226          | 0.8605   |
| 0.0           | 8.0   | 872  | 0.9660          | 0.8140   |
| 0.0001        | 9.0   | 981  | 0.7042          | 0.8837   |
| 0.0           | 10.0  | 1090 | 0.6534          | 0.9070   |
| 0.0           | 11.0  | 1199 | 1.2267          | 0.7674   |
| 0.0           | 12.0  | 1308 | 1.5260          | 0.8140   |
| 0.0           | 13.0  | 1417 | 1.4686          | 0.8140   |
| 0.0           | 14.0  | 1526 | 0.8595          | 0.8837   |
| 0.0           | 15.0  | 1635 | 1.3797          | 0.8605   |
| 0.0           | 16.0  | 1744 | 1.3455          | 0.8605   |
| 0.0075        | 17.0  | 1853 | 1.5986          | 0.8372   |
| 0.0           | 18.0  | 1962 | 1.4749          | 0.8372   |
| 0.0           | 19.0  | 2071 | 1.4927          | 0.8372   |
| 0.0           | 20.0  | 2180 | 1.4771          | 0.8605   |
| 0.0           | 21.0  | 2289 | 1.4081          | 0.8605   |
| 0.0           | 22.0  | 2398 | 1.5121          | 0.8372   |
| 0.0           | 23.0  | 2507 | 1.4866          | 0.8140   |
| 0.0           | 24.0  | 2616 | 1.4831          | 0.8140   |
| 0.0           | 25.0  | 2725 | 1.3008          | 0.8372   |
| 0.0           | 26.0  | 2834 | 1.6560          | 0.7907   |
| 0.0           | 27.0  | 2943 | 0.9124          | 0.8837   |
| 0.0           | 28.0  | 3052 | 0.8769          | 0.8837   |
| 0.0           | 29.0  | 3161 | 0.9755          | 0.8837   |
| 0.0           | 30.0  | 3270 | 1.2038          | 0.8372   |
| 0.0           | 31.0  | 3379 | 1.4471          | 0.8372   |
| 0.0           | 32.0  | 3488 | 1.5802          | 0.8605   |
| 0.0           | 33.0  | 3597 | 1.5142          | 0.8372   |
| 0.0           | 34.0  | 3706 | 1.5304          | 0.8372   |
| 0.0           | 35.0  | 3815 | 1.4066          | 0.8372   |
| 0.0           | 36.0  | 3924 | 1.3220          | 0.8605   |
| 0.0           | 37.0  | 4033 | 1.3283          | 0.8605   |
| 0.0           | 38.0  | 4142 | 1.3607          | 0.8605   |
| 0.0           | 39.0  | 4251 | 1.3429          | 0.8605   |
| 0.0           | 40.0  | 4360 | 1.3457          | 0.8605   |
| 0.0           | 41.0  | 4469 | 1.3351          | 0.8605   |
| 0.0           | 42.0  | 4578 | 1.3341          | 0.8605   |
| 0.0           | 43.0  | 4687 | 1.1524          | 0.8605   |
| 0.0           | 44.0  | 4796 | 1.1538          | 0.8605   |
| 0.0           | 45.0  | 4905 | 1.1674          | 0.8605   |
| 0.0           | 46.0  | 5014 | 1.1697          | 0.8605   |
| 0.0           | 47.0  | 5123 | 1.2019          | 0.8605   |
| 0.0           | 48.0  | 5232 | 1.1993          | 0.8605   |
| 0.0           | 49.0  | 5341 | 1.2150          | 0.8605   |
| 0.0           | 50.0  | 5450 | 1.2127          | 0.8605   |


### 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_10x_beit_large_RMSProp_lr00001_fold3", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.8604651162790697, "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