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# HUSHEM_10x_beit_large_RMSProp_lr0001_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: 7.6172
- Accuracy: 0.4444

## 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: 0.0001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2236        | 1.0   | 107  | 1.8503          | 0.1778   |
| 1.0859        | 2.0   | 214  | 1.8681          | 0.2444   |
| 0.6986        | 3.0   | 321  | 1.5519          | 0.4444   |
| 0.7201        | 4.0   | 428  | 1.5969          | 0.4      |
| 0.7204        | 5.0   | 535  | 1.4797          | 0.3778   |
| 0.5819        | 6.0   | 642  | 1.8923          | 0.3556   |
| 0.6296        | 7.0   | 749  | 2.0196          | 0.3778   |
| 0.6092        | 8.0   | 856  | 1.8467          | 0.3778   |
| 0.6268        | 9.0   | 963  | 2.2056          | 0.3556   |
| 0.4825        | 10.0  | 1070 | 1.6917          | 0.4444   |
| 0.5724        | 11.0  | 1177 | 2.0166          | 0.4222   |
| 0.4058        | 12.0  | 1284 | 1.8444          | 0.4222   |
| 0.3775        | 13.0  | 1391 | 1.9627          | 0.4      |
| 0.3905        | 14.0  | 1498 | 2.6757          | 0.3778   |
| 0.3379        | 15.0  | 1605 | 2.5818          | 0.3556   |
| 0.3148        | 16.0  | 1712 | 2.6758          | 0.4889   |
| 0.3512        | 17.0  | 1819 | 3.1234          | 0.4444   |
| 0.2602        | 18.0  | 1926 | 2.5777          | 0.4222   |
| 0.2258        | 19.0  | 2033 | 3.1828          | 0.4222   |
| 0.2754        | 20.0  | 2140 | 3.5404          | 0.4      |
| 0.2334        | 21.0  | 2247 | 4.3273          | 0.4667   |
| 0.1639        | 22.0  | 2354 | 3.1820          | 0.4222   |
| 0.1546        | 23.0  | 2461 | 3.9907          | 0.4222   |
| 0.1429        | 24.0  | 2568 | 4.2102          | 0.4444   |
| 0.1961        | 25.0  | 2675 | 4.9561          | 0.4444   |
| 0.1068        | 26.0  | 2782 | 6.8200          | 0.4      |
| 0.056         | 27.0  | 2889 | 4.8326          | 0.4      |
| 0.0955        | 28.0  | 2996 | 5.4960          | 0.4      |
| 0.0155        | 29.0  | 3103 | 7.3784          | 0.4222   |
| 0.094         | 30.0  | 3210 | 6.9575          | 0.4222   |
| 0.0671        | 31.0  | 3317 | 7.6272          | 0.4      |
| 0.0954        | 32.0  | 3424 | 4.9124          | 0.4222   |
| 0.0391        | 33.0  | 3531 | 5.1196          | 0.4444   |
| 0.0058        | 34.0  | 3638 | 6.1516          | 0.4      |
| 0.0024        | 35.0  | 3745 | 6.6358          | 0.4222   |
| 0.0201        | 36.0  | 3852 | 7.1853          | 0.4222   |
| 0.0004        | 37.0  | 3959 | 6.4897          | 0.4      |
| 0.0351        | 38.0  | 4066 | 7.1964          | 0.4222   |
| 0.0055        | 39.0  | 4173 | 7.4282          | 0.4      |
| 0.0411        | 40.0  | 4280 | 6.3825          | 0.4222   |
| 0.0626        | 41.0  | 4387 | 7.1353          | 0.4      |
| 0.055         | 42.0  | 4494 | 6.9505          | 0.4      |
| 0.0457        | 43.0  | 4601 | 7.4326          | 0.4444   |
| 0.0007        | 44.0  | 4708 | 7.1762          | 0.4222   |
| 0.0001        | 45.0  | 4815 | 7.0906          | 0.4222   |
| 0.0169        | 46.0  | 4922 | 6.9437          | 0.4222   |
| 0.0           | 47.0  | 5029 | 7.0267          | 0.4222   |
| 0.0           | 48.0  | 5136 | 7.4474          | 0.4444   |
| 0.0006        | 49.0  | 5243 | 7.5830          | 0.4444   |
| 0.0007        | 50.0  | 5350 | 7.6172          | 0.4444   |


### 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_lr0001_fold1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.4444444444444444, "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