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# HUSHEM_1x_beit_large_RMSProp_lr001_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: 1.6923
- Accuracy: 0.4419

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 5.1425        | 1.0   | 11   | 2.1354          | 0.2326   |
| 1.595         | 2.0   | 22   | 1.3892          | 0.2326   |
| 1.9546        | 3.0   | 33   | 1.6167          | 0.2558   |
| 1.408         | 4.0   | 44   | 1.4428          | 0.2558   |
| 1.3914        | 5.0   | 55   | 1.3813          | 0.3488   |
| 1.3254        | 6.0   | 66   | 1.3558          | 0.3256   |
| 1.2586        | 7.0   | 77   | 1.4271          | 0.3256   |
| 1.2321        | 8.0   | 88   | 1.3653          | 0.2791   |
| 1.2309        | 9.0   | 99   | 1.3796          | 0.3023   |
| 1.1637        | 10.0  | 110  | 1.4022          | 0.3023   |
| 1.196         | 11.0  | 121  | 1.3859          | 0.3023   |
| 1.1755        | 12.0  | 132  | 1.4824          | 0.2791   |
| 1.1526        | 13.0  | 143  | 1.4228          | 0.3256   |
| 1.1109        | 14.0  | 154  | 1.3582          | 0.3256   |
| 1.1586        | 15.0  | 165  | 1.3698          | 0.3023   |
| 1.1208        | 16.0  | 176  | 1.6473          | 0.3023   |
| 1.1344        | 17.0  | 187  | 1.4821          | 0.3256   |
| 1.0441        | 18.0  | 198  | 1.4375          | 0.3023   |
| 1.0981        | 19.0  | 209  | 1.6018          | 0.3023   |
| 1.1046        | 20.0  | 220  | 1.3156          | 0.4186   |
| 1.0733        | 21.0  | 231  | 1.3871          | 0.3256   |
| 1.0609        | 22.0  | 242  | 1.6210          | 0.3488   |
| 0.9909        | 23.0  | 253  | 1.3401          | 0.4651   |
| 0.9834        | 24.0  | 264  | 1.2740          | 0.4186   |
| 1.0217        | 25.0  | 275  | 1.2541          | 0.4186   |
| 0.9709        | 26.0  | 286  | 1.1851          | 0.4419   |
| 1.0162        | 27.0  | 297  | 1.3894          | 0.4419   |
| 1.0104        | 28.0  | 308  | 1.3676          | 0.3721   |
| 1.0109        | 29.0  | 319  | 1.1914          | 0.5116   |
| 0.8863        | 30.0  | 330  | 1.1121          | 0.4651   |
| 0.8825        | 31.0  | 341  | 1.1957          | 0.5116   |
| 0.9763        | 32.0  | 352  | 1.1270          | 0.4884   |
| 0.8542        | 33.0  | 363  | 1.4891          | 0.4651   |
| 0.8608        | 34.0  | 374  | 1.3036          | 0.4651   |
| 0.8616        | 35.0  | 385  | 1.8777          | 0.3256   |
| 0.8774        | 36.0  | 396  | 1.4842          | 0.5814   |
| 0.7528        | 37.0  | 407  | 1.5560          | 0.4186   |
| 0.8453        | 38.0  | 418  | 1.4935          | 0.5349   |
| 0.761         | 39.0  | 429  | 1.3361          | 0.5814   |
| 0.7713        | 40.0  | 440  | 1.8197          | 0.3721   |
| 0.7716        | 41.0  | 451  | 1.5793          | 0.5116   |
| 0.748         | 42.0  | 462  | 1.5377          | 0.5814   |
| 0.7353        | 43.0  | 473  | 1.7634          | 0.3953   |
| 0.7528        | 44.0  | 484  | 1.6511          | 0.4651   |
| 0.7133        | 45.0  | 495  | 1.6988          | 0.4651   |
| 0.7412        | 46.0  | 506  | 1.6923          | 0.4419   |
| 0.6795        | 47.0  | 517  | 1.6923          | 0.4419   |
| 0.6772        | 48.0  | 528  | 1.6923          | 0.4419   |
| 0.7728        | 49.0  | 539  | 1.6923          | 0.4419   |
| 0.7234        | 50.0  | 550  | 1.6923          | 0.4419   |


### 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_fold3", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.4418604651162791, "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