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# HUSHEM_10x_beit_large_Adamax_lr00001_fold2

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: 1.2804
- Accuracy: 0.8444

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1636        | 1.0   | 107  | 0.7123          | 0.7333   |
| 0.0123        | 2.0   | 214  | 0.5999          | 0.8667   |
| 0.0027        | 3.0   | 321  | 0.7497          | 0.8444   |
| 0.0005        | 4.0   | 428  | 0.8619          | 0.8444   |
| 0.0006        | 5.0   | 535  | 0.8114          | 0.8667   |
| 0.0002        | 6.0   | 642  | 0.9651          | 0.8222   |
| 0.0001        | 7.0   | 749  | 0.9542          | 0.8444   |
| 0.0006        | 8.0   | 856  | 1.1048          | 0.8222   |
| 0.0004        | 9.0   | 963  | 1.0661          | 0.8444   |
| 0.0001        | 10.0  | 1070 | 1.1674          | 0.8222   |
| 0.0001        | 11.0  | 1177 | 1.0876          | 0.8222   |
| 0.0           | 12.0  | 1284 | 1.1171          | 0.8222   |
| 0.0           | 13.0  | 1391 | 1.1307          | 0.8      |
| 0.0001        | 14.0  | 1498 | 1.1075          | 0.8      |
| 0.0           | 15.0  | 1605 | 1.1333          | 0.8444   |
| 0.0           | 16.0  | 1712 | 1.1200          | 0.8222   |
| 0.0           | 17.0  | 1819 | 1.1802          | 0.8      |
| 0.0           | 18.0  | 1926 | 1.0860          | 0.8444   |
| 0.0           | 19.0  | 2033 | 1.2804          | 0.8      |
| 0.0001        | 20.0  | 2140 | 1.2869          | 0.8      |
| 0.0002        | 21.0  | 2247 | 1.1863          | 0.8222   |
| 0.0           | 22.0  | 2354 | 1.1772          | 0.8222   |
| 0.0           | 23.0  | 2461 | 1.1982          | 0.8222   |
| 0.0           | 24.0  | 2568 | 1.2416          | 0.8222   |
| 0.0           | 25.0  | 2675 | 1.1705          | 0.8444   |
| 0.0           | 26.0  | 2782 | 1.2594          | 0.8222   |
| 0.0           | 27.0  | 2889 | 1.2348          | 0.8444   |
| 0.0           | 28.0  | 2996 | 1.1772          | 0.8444   |
| 0.0           | 29.0  | 3103 | 1.1789          | 0.8444   |
| 0.0           | 30.0  | 3210 | 1.2131          | 0.8444   |
| 0.0           | 31.0  | 3317 | 1.2535          | 0.8444   |
| 0.0           | 32.0  | 3424 | 1.2180          | 0.8444   |
| 0.0           | 33.0  | 3531 | 1.2776          | 0.8444   |
| 0.0           | 34.0  | 3638 | 1.2823          | 0.8444   |
| 0.0001        | 35.0  | 3745 | 1.2729          | 0.8444   |
| 0.0           | 36.0  | 3852 | 1.3174          | 0.8222   |
| 0.0           | 37.0  | 3959 | 1.2879          | 0.8222   |
| 0.0           | 38.0  | 4066 | 1.3423          | 0.8222   |
| 0.0           | 39.0  | 4173 | 1.2762          | 0.8222   |
| 0.0001        | 40.0  | 4280 | 1.3824          | 0.8222   |
| 0.0           | 41.0  | 4387 | 1.3630          | 0.8222   |
| 0.0           | 42.0  | 4494 | 1.2763          | 0.8444   |
| 0.0           | 43.0  | 4601 | 1.2695          | 0.8444   |
| 0.0           | 44.0  | 4708 | 1.2376          | 0.8444   |
| 0.0           | 45.0  | 4815 | 1.2577          | 0.8444   |
| 0.0           | 46.0  | 4922 | 1.2714          | 0.8444   |
| 0.0           | 47.0  | 5029 | 1.2831          | 0.8444   |
| 0.0           | 48.0  | 5136 | 1.2713          | 0.8444   |
| 0.0           | 49.0  | 5243 | 1.2802          | 0.8444   |
| 0.0           | 50.0  | 5350 | 1.2804          | 0.8444   |


### 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_fold2", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.8444444444444444, "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