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# HUSHEM_10x_beit_large_RMSProp_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: 1.2794
- Accuracy: 0.8889

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0609        | 1.0   | 107  | 0.7793          | 0.8667   |
| 0.0315        | 2.0   | 214  | 0.6461          | 0.8889   |
| 0.0001        | 3.0   | 321  | 0.5746          | 0.8889   |
| 0.0034        | 4.0   | 428  | 1.1852          | 0.8      |
| 0.0           | 5.0   | 535  | 1.0539          | 0.8667   |
| 0.0001        | 6.0   | 642  | 1.1001          | 0.8      |
| 0.0019        | 7.0   | 749  | 1.6828          | 0.7333   |
| 0.0           | 8.0   | 856  | 1.5599          | 0.8      |
| 0.0           | 9.0   | 963  | 1.5501          | 0.7111   |
| 0.0           | 10.0  | 1070 | 1.1994          | 0.8222   |
| 0.0           | 11.0  | 1177 | 1.2678          | 0.8      |
| 0.0           | 12.0  | 1284 | 1.2252          | 0.8      |
| 0.0           | 13.0  | 1391 | 1.2840          | 0.8      |
| 0.0           | 14.0  | 1498 | 1.4503          | 0.7778   |
| 0.0           | 15.0  | 1605 | 1.4422          | 0.7778   |
| 0.0745        | 16.0  | 1712 | 1.5929          | 0.8222   |
| 0.0           | 17.0  | 1819 | 1.0879          | 0.8889   |
| 0.0008        | 18.0  | 1926 | 1.6697          | 0.8222   |
| 0.0           | 19.0  | 2033 | 1.1550          | 0.8667   |
| 0.0           | 20.0  | 2140 | 1.1430          | 0.8667   |
| 0.0           | 21.0  | 2247 | 1.1344          | 0.8667   |
| 0.0           | 22.0  | 2354 | 1.1329          | 0.8889   |
| 0.0           | 23.0  | 2461 | 1.1101          | 0.8889   |
| 0.0           | 24.0  | 2568 | 1.1710          | 0.8222   |
| 0.0           | 25.0  | 2675 | 1.0929          | 0.8444   |
| 0.0           | 26.0  | 2782 | 1.0512          | 0.8444   |
| 0.0           | 27.0  | 2889 | 1.0607          | 0.8222   |
| 0.0           | 28.0  | 2996 | 0.9048          | 0.9111   |
| 0.0           | 29.0  | 3103 | 1.0762          | 0.8889   |
| 0.0           | 30.0  | 3210 | 1.8071          | 0.7556   |
| 0.0           | 31.0  | 3317 | 1.7495          | 0.7556   |
| 0.0001        | 32.0  | 3424 | 1.6225          | 0.8222   |
| 0.0           | 33.0  | 3531 | 1.4691          | 0.8222   |
| 0.0           | 34.0  | 3638 | 1.3088          | 0.8667   |
| 0.0           | 35.0  | 3745 | 1.2938          | 0.8667   |
| 0.0           | 36.0  | 3852 | 1.2823          | 0.8667   |
| 0.0           | 37.0  | 3959 | 1.2704          | 0.8667   |
| 0.0           | 38.0  | 4066 | 1.1908          | 0.9111   |
| 0.0           | 39.0  | 4173 | 1.1886          | 0.9111   |
| 0.0           | 40.0  | 4280 | 1.3195          | 0.8667   |
| 0.0           | 41.0  | 4387 | 1.3036          | 0.8667   |
| 0.0           | 42.0  | 4494 | 1.2832          | 0.8889   |
| 0.0           | 43.0  | 4601 | 1.2841          | 0.8889   |
| 0.0           | 44.0  | 4708 | 1.2609          | 0.8889   |
| 0.0           | 45.0  | 4815 | 1.2719          | 0.8889   |
| 0.0           | 46.0  | 4922 | 1.2636          | 0.8889   |
| 0.0           | 47.0  | 5029 | 1.2578          | 0.8889   |
| 0.0           | 48.0  | 5136 | 1.2734          | 0.8889   |
| 0.0           | 49.0  | 5243 | 1.2768          | 0.8889   |
| 0.0           | 50.0  | 5350 | 1.2794          | 0.8889   |


### 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_fold2", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.8888888888888888, "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