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# HUSHEM_1x_beit_large_Adamax_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: 4.9097
- Accuracy: 0.5349

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.7747        | 1.0   | 11   | 1.3855          | 0.2558   |
| 1.4545        | 2.0   | 22   | 1.3902          | 0.3721   |
| 1.4147        | 3.0   | 33   | 1.3707          | 0.2558   |
| 1.368         | 4.0   | 44   | 1.2961          | 0.3488   |
| 1.2743        | 5.0   | 55   | 1.3610          | 0.3953   |
| 1.2134        | 6.0   | 66   | 1.4033          | 0.3256   |
| 1.153         | 7.0   | 77   | 1.6120          | 0.2791   |
| 1.1793        | 8.0   | 88   | 1.2104          | 0.4186   |
| 1.1925        | 9.0   | 99   | 1.3205          | 0.3488   |
| 1.2419        | 10.0  | 110  | 1.1668          | 0.5116   |
| 1.1275        | 11.0  | 121  | 1.2491          | 0.3488   |
| 1.0032        | 12.0  | 132  | 1.2240          | 0.5349   |
| 1.1033        | 13.0  | 143  | 1.2513          | 0.4651   |
| 1.067         | 14.0  | 154  | 1.0556          | 0.5814   |
| 0.9588        | 15.0  | 165  | 1.1923          | 0.4186   |
| 0.8707        | 16.0  | 176  | 1.0270          | 0.5581   |
| 0.7583        | 17.0  | 187  | 0.9130          | 0.6047   |
| 0.8004        | 18.0  | 198  | 0.9890          | 0.4884   |
| 0.8593        | 19.0  | 209  | 0.9123          | 0.5814   |
| 0.7022        | 20.0  | 220  | 1.0789          | 0.5116   |
| 0.6833        | 21.0  | 231  | 0.8528          | 0.6744   |
| 0.6345        | 22.0  | 242  | 0.9692          | 0.6279   |
| 0.6602        | 23.0  | 253  | 1.1459          | 0.5814   |
| 0.5761        | 24.0  | 264  | 1.3928          | 0.5814   |
| 0.5251        | 25.0  | 275  | 1.6875          | 0.5349   |
| 0.4963        | 26.0  | 286  | 2.1479          | 0.4419   |
| 0.5388        | 27.0  | 297  | 1.9707          | 0.5349   |
| 0.4703        | 28.0  | 308  | 2.5209          | 0.4884   |
| 0.6484        | 29.0  | 319  | 1.8590          | 0.5581   |
| 0.4475        | 30.0  | 330  | 1.8093          | 0.5349   |
| 0.402         | 31.0  | 341  | 1.6595          | 0.5116   |
| 0.3439        | 32.0  | 352  | 2.3594          | 0.4651   |
| 0.2181        | 33.0  | 363  | 2.9603          | 0.5349   |
| 0.2667        | 34.0  | 374  | 2.3403          | 0.5581   |
| 0.1506        | 35.0  | 385  | 2.7719          | 0.5116   |
| 0.2287        | 36.0  | 396  | 4.0052          | 0.5116   |
| 0.1454        | 37.0  | 407  | 3.9937          | 0.5116   |
| 0.1569        | 38.0  | 418  | 3.6959          | 0.5581   |
| 0.168         | 39.0  | 429  | 4.7325          | 0.5581   |
| 0.1764        | 40.0  | 440  | 4.4964          | 0.4884   |
| 0.0819        | 41.0  | 451  | 4.7516          | 0.4884   |
| 0.053         | 42.0  | 462  | 5.3758          | 0.5116   |
| 0.1003        | 43.0  | 473  | 4.9356          | 0.5116   |
| 0.0518        | 44.0  | 484  | 4.9929          | 0.5814   |
| 0.0921        | 45.0  | 495  | 4.9249          | 0.5581   |
| 0.1073        | 46.0  | 506  | 4.9097          | 0.5349   |
| 0.0225        | 47.0  | 517  | 4.9097          | 0.5349   |
| 0.1636        | 48.0  | 528  | 4.9097          | 0.5349   |
| 0.0808        | 49.0  | 539  | 4.9097          | 0.5349   |
| 0.159         | 50.0  | 550  | 4.9097          | 0.5349   |


### 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_fold3", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.5348837209302325, "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