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# HUSHEM_1x_beit_large_RMSProp_lr0001_fold3

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: 8.7092
- Accuracy: 0.5116

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.0407        | 1.0   | 11   | 1.6447          | 0.2326   |
| 1.5221        | 2.0   | 22   | 1.3781          | 0.2326   |
| 1.4226        | 3.0   | 33   | 1.4061          | 0.3721   |
| 1.3421        | 4.0   | 44   | 1.3024          | 0.3953   |
| 1.3119        | 5.0   | 55   | 1.2666          | 0.3256   |
| 1.2457        | 6.0   | 66   | 1.5021          | 0.2558   |
| 1.1978        | 7.0   | 77   | 1.2408          | 0.4651   |
| 1.1601        | 8.0   | 88   | 1.1609          | 0.4884   |
| 1.1751        | 9.0   | 99   | 1.1769          | 0.4884   |
| 1.025         | 10.0  | 110  | 1.2186          | 0.5116   |
| 0.9824        | 11.0  | 121  | 1.1933          | 0.5116   |
| 0.9005        | 12.0  | 132  | 1.1815          | 0.5116   |
| 0.9612        | 13.0  | 143  | 1.1785          | 0.5814   |
| 0.9188        | 14.0  | 154  | 1.3276          | 0.5581   |
| 0.7957        | 15.0  | 165  | 1.4473          | 0.3953   |
| 0.7849        | 16.0  | 176  | 1.5899          | 0.5581   |
| 0.7019        | 17.0  | 187  | 1.8488          | 0.5116   |
| 0.6212        | 18.0  | 198  | 1.8104          | 0.4186   |
| 0.6921        | 19.0  | 209  | 2.0571          | 0.5116   |
| 0.5464        | 20.0  | 220  | 2.4324          | 0.4651   |
| 0.5423        | 21.0  | 231  | 2.3486          | 0.4419   |
| 0.4843        | 22.0  | 242  | 2.4633          | 0.4186   |
| 0.5341        | 23.0  | 253  | 2.8106          | 0.4651   |
| 0.4192        | 24.0  | 264  | 3.3746          | 0.4186   |
| 0.347         | 25.0  | 275  | 2.9667          | 0.4186   |
| 0.2789        | 26.0  | 286  | 3.6060          | 0.4186   |
| 0.2786        | 27.0  | 297  | 4.9076          | 0.3256   |
| 0.2131        | 28.0  | 308  | 5.2722          | 0.4186   |
| 0.3068        | 29.0  | 319  | 4.0498          | 0.4651   |
| 0.221         | 30.0  | 330  | 4.9173          | 0.3488   |
| 0.1224        | 31.0  | 341  | 6.2511          | 0.4419   |
| 0.2392        | 32.0  | 352  | 5.7682          | 0.4186   |
| 0.1107        | 33.0  | 363  | 6.8924          | 0.3953   |
| 0.1502        | 34.0  | 374  | 6.6183          | 0.4186   |
| 0.1635        | 35.0  | 385  | 7.6410          | 0.4651   |
| 0.0444        | 36.0  | 396  | 7.5785          | 0.4884   |
| 0.0485        | 37.0  | 407  | 8.8308          | 0.3953   |
| 0.0169        | 38.0  | 418  | 8.4647          | 0.4651   |
| 0.0931        | 39.0  | 429  | 9.1987          | 0.3953   |
| 0.0777        | 40.0  | 440  | 9.4346          | 0.4419   |
| 0.0199        | 41.0  | 451  | 9.7528          | 0.4419   |
| 0.0014        | 42.0  | 462  | 9.4470          | 0.4419   |
| 0.0329        | 43.0  | 473  | 8.9711          | 0.4651   |
| 0.0656        | 44.0  | 484  | 8.7537          | 0.4651   |
| 0.0414        | 45.0  | 495  | 8.7443          | 0.5116   |
| 0.132         | 46.0  | 506  | 8.7092          | 0.5116   |
| 0.027         | 47.0  | 517  | 8.7092          | 0.5116   |
| 0.0446        | 48.0  | 528  | 8.7092          | 0.5116   |
| 0.0598        | 49.0  | 539  | 8.7092          | 0.5116   |
| 0.2227        | 50.0  | 550  | 8.7092          | 0.5116   |


### 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_lr0001_fold3", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.5116279069767442, "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