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# hushem_5x_beit_base_rms_0001_fold1

This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6811
- 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4287        | 1.0   | 27   | 1.3926          | 0.2222   |
| 1.3907        | 2.0   | 54   | 1.3975          | 0.2667   |
| 1.358         | 3.0   | 81   | 1.5093          | 0.2444   |
| 1.3416        | 4.0   | 108  | 1.5118          | 0.2444   |
| 1.2056        | 5.0   | 135  | 1.4928          | 0.2444   |
| 1.1299        | 6.0   | 162  | 1.6562          | 0.2222   |
| 1.1641        | 7.0   | 189  | 1.5947          | 0.2444   |
| 1.1473        | 8.0   | 216  | 1.5964          | 0.2444   |
| 1.1298        | 9.0   | 243  | 1.7663          | 0.2444   |
| 1.1045        | 10.0  | 270  | 1.6309          | 0.3778   |
| 0.8985        | 11.0  | 297  | 1.6908          | 0.4      |
| 0.7744        | 12.0  | 324  | 1.3949          | 0.3556   |
| 0.7617        | 13.0  | 351  | 1.4646          | 0.3778   |
| 0.6843        | 14.0  | 378  | 1.5910          | 0.3778   |
| 0.6647        | 15.0  | 405  | 1.8050          | 0.4      |
| 0.6363        | 16.0  | 432  | 1.7016          | 0.3333   |
| 0.6362        | 17.0  | 459  | 1.8539          | 0.3778   |
| 0.6858        | 18.0  | 486  | 1.8678          | 0.3556   |
| 0.7039        | 19.0  | 513  | 1.5776          | 0.3556   |
| 0.6292        | 20.0  | 540  | 1.8552          | 0.3111   |
| 0.4567        | 21.0  | 567  | 1.7854          | 0.3556   |
| 0.5954        | 22.0  | 594  | 2.4822          | 0.3556   |
| 0.5737        | 23.0  | 621  | 2.0564          | 0.4      |
| 0.4941        | 24.0  | 648  | 1.9451          | 0.3111   |
| 0.523         | 25.0  | 675  | 2.0359          | 0.3778   |
| 0.5221        | 26.0  | 702  | 2.1184          | 0.4      |
| 0.4589        | 27.0  | 729  | 2.0471          | 0.3556   |
| 0.4473        | 28.0  | 756  | 2.5353          | 0.3556   |
| 0.4328        | 29.0  | 783  | 2.7479          | 0.3556   |
| 0.4259        | 30.0  | 810  | 2.2239          | 0.3778   |
| 0.3698        | 31.0  | 837  | 2.5363          | 0.3556   |
| 0.3577        | 32.0  | 864  | 2.5264          | 0.3556   |
| 0.3882        | 33.0  | 891  | 2.2649          | 0.3333   |
| 0.3526        | 34.0  | 918  | 2.6438          | 0.3556   |
| 0.2747        | 35.0  | 945  | 2.3584          | 0.3778   |
| 0.2842        | 36.0  | 972  | 2.8515          | 0.3556   |
| 0.2603        | 37.0  | 999  | 2.3416          | 0.3778   |
| 0.2268        | 38.0  | 1026 | 2.7485          | 0.3778   |
| 0.2           | 39.0  | 1053 | 3.3636          | 0.3333   |
| 0.2049        | 40.0  | 1080 | 3.1692          | 0.3333   |
| 0.1369        | 41.0  | 1107 | 3.3885          | 0.3556   |
| 0.1813        | 42.0  | 1134 | 3.3020          | 0.3333   |
| 0.1518        | 43.0  | 1161 | 2.8618          | 0.4      |
| 0.0986        | 44.0  | 1188 | 3.2902          | 0.3778   |
| 0.131         | 45.0  | 1215 | 3.3898          | 0.3333   |
| 0.0809        | 46.0  | 1242 | 3.5629          | 0.3333   |
| 0.048         | 47.0  | 1269 | 3.7516          | 0.3333   |
| 0.038         | 48.0  | 1296 | 3.6814          | 0.3556   |
| 0.0465        | 49.0  | 1323 | 3.6811          | 0.3556   |
| 0.0644        | 50.0  | 1350 | 3.6811          | 0.3556   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/beit-base-patch16-224", "model-index": [{"name": "hushem_5x_beit_base_rms_0001_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 tensorboard safetensors beit image-classification generated_from_trainer dataset:imagefolder base_model:microsoft/beit-base-patch16-224 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us