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# HUSHEM_10x_beit_large_SGD_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: 1.2206
- Accuracy: 0.3953

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6148        | 1.0   | 109  | 1.5454          | 0.2791   |
| 1.5259        | 2.0   | 218  | 1.5094          | 0.2326   |
| 1.5264        | 3.0   | 327  | 1.4803          | 0.2093   |
| 1.4749        | 4.0   | 436  | 1.4562          | 0.2791   |
| 1.5153        | 5.0   | 545  | 1.4356          | 0.2791   |
| 1.4236        | 6.0   | 654  | 1.4182          | 0.2791   |
| 1.3873        | 7.0   | 763  | 1.4031          | 0.2791   |
| 1.4397        | 8.0   | 872  | 1.3895          | 0.2791   |
| 1.3594        | 9.0   | 981  | 1.3779          | 0.2791   |
| 1.3976        | 10.0  | 1090 | 1.3676          | 0.2791   |
| 1.3833        | 11.0  | 1199 | 1.3574          | 0.2558   |
| 1.3226        | 12.0  | 1308 | 1.3481          | 0.2558   |
| 1.3663        | 13.0  | 1417 | 1.3402          | 0.2791   |
| 1.2756        | 14.0  | 1526 | 1.3327          | 0.3023   |
| 1.2986        | 15.0  | 1635 | 1.3252          | 0.3023   |
| 1.3194        | 16.0  | 1744 | 1.3179          | 0.3023   |
| 1.3099        | 17.0  | 1853 | 1.3116          | 0.3023   |
| 1.2747        | 18.0  | 1962 | 1.3051          | 0.3023   |
| 1.2138        | 19.0  | 2071 | 1.2999          | 0.3256   |
| 1.2586        | 20.0  | 2180 | 1.2942          | 0.3488   |
| 1.256         | 21.0  | 2289 | 1.2890          | 0.3721   |
| 1.2282        | 22.0  | 2398 | 1.2838          | 0.3721   |
| 1.2278        | 23.0  | 2507 | 1.2790          | 0.3721   |
| 1.2221        | 24.0  | 2616 | 1.2745          | 0.3721   |
| 1.1736        | 25.0  | 2725 | 1.2700          | 0.3721   |
| 1.1611        | 26.0  | 2834 | 1.2658          | 0.3721   |
| 1.273         | 27.0  | 2943 | 1.2615          | 0.3721   |
| 1.1349        | 28.0  | 3052 | 1.2576          | 0.3721   |
| 1.1455        | 29.0  | 3161 | 1.2542          | 0.3721   |
| 1.1676        | 30.0  | 3270 | 1.2510          | 0.3721   |
| 1.165         | 31.0  | 3379 | 1.2478          | 0.3721   |
| 1.2202        | 32.0  | 3488 | 1.2448          | 0.3721   |
| 1.1605        | 33.0  | 3597 | 1.2424          | 0.3721   |
| 1.1499        | 34.0  | 3706 | 1.2393          | 0.3721   |
| 1.1591        | 35.0  | 3815 | 1.2367          | 0.3721   |
| 1.1963        | 36.0  | 3924 | 1.2345          | 0.3953   |
| 1.1437        | 37.0  | 4033 | 1.2326          | 0.3953   |
| 1.1071        | 38.0  | 4142 | 1.2307          | 0.3953   |
| 1.16          | 39.0  | 4251 | 1.2290          | 0.3953   |
| 1.2046        | 40.0  | 4360 | 1.2275          | 0.3953   |
| 1.1262        | 41.0  | 4469 | 1.2261          | 0.3953   |
| 1.1453        | 42.0  | 4578 | 1.2249          | 0.3953   |
| 1.1139        | 43.0  | 4687 | 1.2236          | 0.3953   |
| 1.1171        | 44.0  | 4796 | 1.2226          | 0.3953   |
| 1.1216        | 45.0  | 4905 | 1.2220          | 0.3953   |
| 1.1905        | 46.0  | 5014 | 1.2214          | 0.3953   |
| 1.1266        | 47.0  | 5123 | 1.2210          | 0.3953   |
| 1.086         | 48.0  | 5232 | 1.2207          | 0.3953   |
| 1.1088        | 49.0  | 5341 | 1.2206          | 0.3953   |
| 1.0908        | 50.0  | 5450 | 1.2206          | 0.3953   |


### 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_10x_beit_large_SGD_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": 0.3953488372093023, "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