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# HUSHEM_1x_beit_large_RMSProp_lr001_fold5

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: 1.3227
- Accuracy: 0.5366

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 6.7295        | 1.0   | 11   | 2.0238          | 0.2683   |
| 3.8833        | 2.0   | 22   | 1.4642          | 0.2439   |
| 1.6037        | 3.0   | 33   | 1.4717          | 0.2439   |
| 1.4519        | 4.0   | 44   | 1.3982          | 0.2683   |
| 1.5022        | 5.0   | 55   | 1.3981          | 0.2439   |
| 1.4074        | 6.0   | 66   | 1.4028          | 0.2683   |
| 1.4155        | 7.0   | 77   | 1.4002          | 0.2439   |
| 1.4214        | 8.0   | 88   | 1.4012          | 0.2683   |
| 1.3923        | 9.0   | 99   | 1.3837          | 0.2683   |
| 1.4047        | 10.0  | 110  | 1.3762          | 0.2439   |
| 1.453         | 11.0  | 121  | 1.3695          | 0.2683   |
| 1.4027        | 12.0  | 132  | 1.3832          | 0.2439   |
| 1.3831        | 13.0  | 143  | 1.3201          | 0.3902   |
| 1.367         | 14.0  | 154  | 1.2986          | 0.5366   |
| 1.2988        | 15.0  | 165  | 1.3311          | 0.3902   |
| 1.3881        | 16.0  | 176  | 1.7915          | 0.4146   |
| 1.3248        | 17.0  | 187  | 1.9942          | 0.2683   |
| 1.3241        | 18.0  | 198  | 1.0820          | 0.4878   |
| 1.2144        | 19.0  | 209  | 2.2377          | 0.2439   |
| 1.1687        | 20.0  | 220  | 1.0073          | 0.5366   |
| 1.0765        | 21.0  | 231  | 0.9710          | 0.5366   |
| 1.1196        | 22.0  | 242  | 2.0477          | 0.3171   |
| 1.0498        | 23.0  | 253  | 0.8930          | 0.6829   |
| 1.0136        | 24.0  | 264  | 0.9370          | 0.5122   |
| 0.9847        | 25.0  | 275  | 0.9812          | 0.4878   |
| 1.0047        | 26.0  | 286  | 1.0545          | 0.3659   |
| 0.9602        | 27.0  | 297  | 0.8173          | 0.6098   |
| 0.8569        | 28.0  | 308  | 0.9063          | 0.4634   |
| 0.8544        | 29.0  | 319  | 0.8944          | 0.5610   |
| 0.8131        | 30.0  | 330  | 0.8539          | 0.6098   |
| 0.7922        | 31.0  | 341  | 0.8379          | 0.6341   |
| 0.8264        | 32.0  | 352  | 0.8977          | 0.6341   |
| 0.6875        | 33.0  | 363  | 0.7725          | 0.6829   |
| 0.752         | 34.0  | 374  | 0.7991          | 0.6341   |
| 0.7004        | 35.0  | 385  | 0.7594          | 0.7073   |
| 0.6308        | 36.0  | 396  | 1.0252          | 0.5610   |
| 0.5685        | 37.0  | 407  | 0.7777          | 0.6829   |
| 0.6751        | 38.0  | 418  | 0.8929          | 0.5854   |
| 0.6289        | 39.0  | 429  | 0.8709          | 0.6585   |
| 0.5615        | 40.0  | 440  | 1.1698          | 0.5122   |
| 0.5334        | 41.0  | 451  | 1.3145          | 0.5122   |
| 0.4836        | 42.0  | 462  | 1.1159          | 0.5610   |
| 0.3857        | 43.0  | 473  | 1.2110          | 0.5854   |
| 0.4041        | 44.0  | 484  | 1.3716          | 0.5610   |
| 0.4103        | 45.0  | 495  | 1.3402          | 0.5366   |
| 0.4437        | 46.0  | 506  | 1.3227          | 0.5366   |
| 0.2854        | 47.0  | 517  | 1.3227          | 0.5366   |
| 0.3653        | 48.0  | 528  | 1.3227          | 0.5366   |
| 0.327         | 49.0  | 539  | 1.3227          | 0.5366   |
| 0.3554        | 50.0  | 550  | 1.3227          | 0.5366   |


### 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_fold5", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.5365853658536586, "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