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# HUSHEM_1x_beit_large_Adamax_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: 4.8061
- Accuracy: 0.6341

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.7054        | 1.0   | 11   | 1.5030          | 0.2439   |
| 1.5566        | 2.0   | 22   | 1.5217          | 0.2683   |
| 1.4595        | 3.0   | 33   | 1.3637          | 0.2683   |
| 1.3598        | 4.0   | 44   | 1.2453          | 0.4878   |
| 1.3749        | 5.0   | 55   | 1.1892          | 0.4878   |
| 1.2896        | 6.0   | 66   | 1.1401          | 0.4634   |
| 1.3104        | 7.0   | 77   | 1.0802          | 0.4878   |
| 1.2674        | 8.0   | 88   | 1.1839          | 0.2683   |
| 1.2254        | 9.0   | 99   | 1.3066          | 0.3902   |
| 1.1072        | 10.0  | 110  | 1.0484          | 0.4878   |
| 1.0311        | 11.0  | 121  | 1.0028          | 0.4634   |
| 0.9745        | 12.0  | 132  | 1.1563          | 0.3902   |
| 0.9259        | 13.0  | 143  | 1.1074          | 0.4878   |
| 0.7823        | 14.0  | 154  | 0.8635          | 0.5854   |
| 0.7712        | 15.0  | 165  | 1.4270          | 0.4878   |
| 0.7177        | 16.0  | 176  | 1.6351          | 0.5366   |
| 0.6945        | 17.0  | 187  | 1.2791          | 0.6098   |
| 0.7382        | 18.0  | 198  | 0.9491          | 0.6585   |
| 0.463         | 19.0  | 209  | 2.1891          | 0.4146   |
| 0.4975        | 20.0  | 220  | 1.3985          | 0.5610   |
| 0.3937        | 21.0  | 231  | 2.5812          | 0.6098   |
| 0.4489        | 22.0  | 242  | 2.7983          | 0.5610   |
| 0.4706        | 23.0  | 253  | 2.9147          | 0.5366   |
| 0.3684        | 24.0  | 264  | 1.9124          | 0.5366   |
| 0.3988        | 25.0  | 275  | 3.3563          | 0.5610   |
| 0.2195        | 26.0  | 286  | 4.9948          | 0.5122   |
| 0.3019        | 27.0  | 297  | 5.7293          | 0.5122   |
| 0.2543        | 28.0  | 308  | 2.7794          | 0.5854   |
| 0.4145        | 29.0  | 319  | 4.0105          | 0.5854   |
| 0.161         | 30.0  | 330  | 6.0971          | 0.4878   |
| 0.2271        | 31.0  | 341  | 4.5594          | 0.5854   |
| 0.1403        | 32.0  | 352  | 5.4166          | 0.5610   |
| 0.0773        | 33.0  | 363  | 4.8954          | 0.5854   |
| 0.0542        | 34.0  | 374  | 5.2510          | 0.5854   |
| 0.1759        | 35.0  | 385  | 4.6274          | 0.6341   |
| 0.0553        | 36.0  | 396  | 5.6801          | 0.6098   |
| 0.0605        | 37.0  | 407  | 3.2335          | 0.6585   |
| 0.0561        | 38.0  | 418  | 4.7479          | 0.6585   |
| 0.0372        | 39.0  | 429  | 4.7115          | 0.6585   |
| 0.0454        | 40.0  | 440  | 4.9933          | 0.5854   |
| 0.0796        | 41.0  | 451  | 5.8626          | 0.5854   |
| 0.0176        | 42.0  | 462  | 5.4576          | 0.5610   |
| 0.1676        | 43.0  | 473  | 4.8908          | 0.5854   |
| 0.0241        | 44.0  | 484  | 4.5863          | 0.6585   |
| 0.0156        | 45.0  | 495  | 4.7493          | 0.6341   |
| 0.1359        | 46.0  | 506  | 4.8061          | 0.6341   |
| 0.0015        | 47.0  | 517  | 4.8061          | 0.6341   |
| 0.0141        | 48.0  | 528  | 4.8061          | 0.6341   |
| 0.0119        | 49.0  | 539  | 4.8061          | 0.6341   |
| 0.0388        | 50.0  | 550  | 4.8061          | 0.6341   |


### 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_Adamax_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": 0.6341463414634146, "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