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# HUSHEM_10x_beit_large_RMSProp_lr001_fold1

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: 4.0090
- Accuracy: 0.3556

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3974        | 1.0   | 107  | 1.4206          | 0.2444   |
| 1.3965        | 2.0   | 214  | 1.3871          | 0.2444   |
| 1.3999        | 3.0   | 321  | 1.3991          | 0.2444   |
| 1.3454        | 4.0   | 428  | 1.5787          | 0.2667   |
| 1.1991        | 5.0   | 535  | 1.5690          | 0.2444   |
| 1.1911        | 6.0   | 642  | 1.8028          | 0.2444   |
| 1.1989        | 7.0   | 749  | 1.6784          | 0.2444   |
| 1.1407        | 8.0   | 856  | 1.5514          | 0.2444   |
| 1.1726        | 9.0   | 963  | 1.4926          | 0.1333   |
| 1.0725        | 10.0  | 1070 | 1.4825          | 0.2444   |
| 1.2144        | 11.0  | 1177 | 1.3760          | 0.3333   |
| 0.9037        | 12.0  | 1284 | 1.4500          | 0.3556   |
| 0.8137        | 13.0  | 1391 | 1.5912          | 0.3333   |
| 0.8924        | 14.0  | 1498 | 1.7499          | 0.3778   |
| 1.0698        | 15.0  | 1605 | 1.3992          | 0.3556   |
| 0.8794        | 16.0  | 1712 | 1.2728          | 0.4222   |
| 0.8028        | 17.0  | 1819 | 1.6424          | 0.3778   |
| 0.9317        | 18.0  | 1926 | 1.5537          | 0.3778   |
| 0.786         | 19.0  | 2033 | 1.6612          | 0.3111   |
| 0.6534        | 20.0  | 2140 | 1.8847          | 0.3778   |
| 0.659         | 21.0  | 2247 | 1.9785          | 0.3556   |
| 0.8301        | 22.0  | 2354 | 1.5951          | 0.3778   |
| 0.6873        | 23.0  | 2461 | 1.7862          | 0.3556   |
| 0.6232        | 24.0  | 2568 | 1.7198          | 0.4      |
| 0.7398        | 25.0  | 2675 | 1.5810          | 0.3778   |
| 0.7186        | 26.0  | 2782 | 1.9671          | 0.3778   |
| 0.6903        | 27.0  | 2889 | 1.6801          | 0.4      |
| 0.6391        | 28.0  | 2996 | 1.8171          | 0.4      |
| 0.5157        | 29.0  | 3103 | 1.7765          | 0.3333   |
| 0.5745        | 30.0  | 3210 | 1.9692          | 0.2889   |
| 0.5282        | 31.0  | 3317 | 2.5493          | 0.3556   |
| 0.6262        | 32.0  | 3424 | 2.2676          | 0.3778   |
| 0.5857        | 33.0  | 3531 | 2.2403          | 0.3556   |
| 0.5979        | 34.0  | 3638 | 1.7987          | 0.3111   |
| 0.4524        | 35.0  | 3745 | 2.3675          | 0.3333   |
| 0.5996        | 36.0  | 3852 | 2.0361          | 0.3778   |
| 0.4741        | 37.0  | 3959 | 2.5861          | 0.3556   |
| 0.4977        | 38.0  | 4066 | 2.2572          | 0.3778   |
| 0.5322        | 39.0  | 4173 | 2.4299          | 0.3556   |
| 0.4929        | 40.0  | 4280 | 2.5780          | 0.3333   |
| 0.4702        | 41.0  | 4387 | 3.4726          | 0.3111   |
| 0.4932        | 42.0  | 4494 | 3.4889          | 0.3111   |
| 0.4463        | 43.0  | 4601 | 2.9307          | 0.3556   |
| 0.346         | 44.0  | 4708 | 2.8977          | 0.3778   |
| 0.4504        | 45.0  | 4815 | 3.0525          | 0.3556   |
| 0.3535        | 46.0  | 4922 | 3.6801          | 0.3556   |
| 0.3366        | 47.0  | 5029 | 3.5182          | 0.3333   |
| 0.2853        | 48.0  | 5136 | 3.6578          | 0.3556   |
| 0.257         | 49.0  | 5243 | 3.9962          | 0.3556   |
| 0.2301        | 50.0  | 5350 | 4.0090          | 0.3556   |


### 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_lr001_fold1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.35555555555555557, "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