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# HUSHEM_1x_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: 1.5371
- Accuracy: 0.4222

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 6.8869        | 1.0   | 11   | 6.8727          | 0.2444   |
| 4.5067        | 2.0   | 22   | 1.5152          | 0.2444   |
| 1.8062        | 3.0   | 33   | 1.4440          | 0.2444   |
| 1.5433        | 4.0   | 44   | 1.4029          | 0.3111   |
| 1.5608        | 5.0   | 55   | 1.3041          | 0.3333   |
| 1.4426        | 6.0   | 66   | 2.2825          | 0.2444   |
| 1.4869        | 7.0   | 77   | 1.3256          | 0.4667   |
| 1.3906        | 8.0   | 88   | 1.3658          | 0.2889   |
| 1.4081        | 9.0   | 99   | 1.4105          | 0.2444   |
| 1.2585        | 10.0  | 110  | 1.7340          | 0.4222   |
| 1.2275        | 11.0  | 121  | 1.4437          | 0.3111   |
| 1.2112        | 12.0  | 132  | 1.2874          | 0.4      |
| 1.2505        | 13.0  | 143  | 1.3022          | 0.3111   |
| 1.2154        | 14.0  | 154  | 1.7703          | 0.2444   |
| 1.2533        | 15.0  | 165  | 1.3981          | 0.2667   |
| 1.1757        | 16.0  | 176  | 1.3173          | 0.3778   |
| 1.2167        | 17.0  | 187  | 1.1567          | 0.4667   |
| 1.119         | 18.0  | 198  | 1.7520          | 0.3111   |
| 1.1754        | 19.0  | 209  | 1.6014          | 0.3333   |
| 1.1173        | 20.0  | 220  | 1.4308          | 0.3333   |
| 1.1348        | 21.0  | 231  | 1.4959          | 0.2444   |
| 1.1125        | 22.0  | 242  | 1.7412          | 0.2667   |
| 1.1156        | 23.0  | 253  | 1.3166          | 0.4222   |
| 1.1513        | 24.0  | 264  | 1.4516          | 0.4222   |
| 1.0582        | 25.0  | 275  | 1.3754          | 0.3333   |
| 1.014         | 26.0  | 286  | 1.5592          | 0.3111   |
| 1.1216        | 27.0  | 297  | 1.8432          | 0.3111   |
| 0.8773        | 28.0  | 308  | 1.6007          | 0.3111   |
| 1.038         | 29.0  | 319  | 1.5198          | 0.3333   |
| 0.9476        | 30.0  | 330  | 1.6492          | 0.4      |
| 0.9046        | 31.0  | 341  | 1.4816          | 0.4444   |
| 0.8813        | 32.0  | 352  | 1.5938          | 0.4444   |
| 0.8563        | 33.0  | 363  | 1.5967          | 0.4222   |
| 0.7931        | 34.0  | 374  | 1.8276          | 0.3778   |
| 0.8106        | 35.0  | 385  | 1.8065          | 0.4444   |
| 0.7864        | 36.0  | 396  | 1.7562          | 0.4      |
| 0.808         | 37.0  | 407  | 1.9101          | 0.4444   |
| 0.6432        | 38.0  | 418  | 1.6636          | 0.4      |
| 0.7523        | 39.0  | 429  | 1.5380          | 0.4222   |
| 0.6828        | 40.0  | 440  | 1.6460          | 0.4222   |
| 0.7082        | 41.0  | 451  | 1.5269          | 0.4222   |
| 0.648         | 42.0  | 462  | 1.5106          | 0.4222   |
| 0.6408        | 43.0  | 473  | 1.5559          | 0.4222   |
| 0.6081        | 44.0  | 484  | 1.5311          | 0.4222   |
| 0.511         | 45.0  | 495  | 1.5475          | 0.4222   |
| 0.6251        | 46.0  | 506  | 1.5371          | 0.4222   |
| 0.54          | 47.0  | 517  | 1.5371          | 0.4222   |
| 0.4652        | 48.0  | 528  | 1.5371          | 0.4222   |
| 0.5563        | 49.0  | 539  | 1.5371          | 0.4222   |
| 0.5553        | 50.0  | 550  | 1.5371          | 0.4222   |


### 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_1x_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": 0.4222222222222222, "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