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# HUSHEM_5x_beit_large_SGD_lr0001_fold1

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: 1.3839
- Accuracy: 0.2667

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.717         | 1.0   | 54   | 1.7756          | 0.2222   |
| 1.5956        | 2.0   | 108  | 1.7356          | 0.2222   |
| 1.5966        | 3.0   | 162  | 1.6999          | 0.2222   |
| 1.555         | 4.0   | 216  | 1.6682          | 0.2444   |
| 1.4692        | 5.0   | 270  | 1.6389          | 0.2444   |
| 1.5092        | 6.0   | 324  | 1.6134          | 0.2222   |
| 1.4852        | 7.0   | 378  | 1.5918          | 0.2444   |
| 1.451         | 8.0   | 432  | 1.5717          | 0.2222   |
| 1.5392        | 9.0   | 486  | 1.5536          | 0.2222   |
| 1.3296        | 10.0  | 540  | 1.5378          | 0.2222   |
| 1.4718        | 11.0  | 594  | 1.5237          | 0.2222   |
| 1.3395        | 12.0  | 648  | 1.5108          | 0.2222   |
| 1.3532        | 13.0  | 702  | 1.4994          | 0.2444   |
| 1.3621        | 14.0  | 756  | 1.4887          | 0.2444   |
| 1.2901        | 15.0  | 810  | 1.4791          | 0.2667   |
| 1.3288        | 16.0  | 864  | 1.4706          | 0.2889   |
| 1.3305        | 17.0  | 918  | 1.4628          | 0.2667   |
| 1.2218        | 18.0  | 972  | 1.4555          | 0.2667   |
| 1.3128        | 19.0  | 1026 | 1.4491          | 0.2667   |
| 1.3144        | 20.0  | 1080 | 1.4433          | 0.2667   |
| 1.3414        | 21.0  | 1134 | 1.4380          | 0.2667   |
| 1.3185        | 22.0  | 1188 | 1.4332          | 0.2667   |
| 1.2498        | 23.0  | 1242 | 1.4283          | 0.2667   |
| 1.2892        | 24.0  | 1296 | 1.4244          | 0.2667   |
| 1.2377        | 25.0  | 1350 | 1.4203          | 0.2667   |
| 1.2644        | 26.0  | 1404 | 1.4167          | 0.2667   |
| 1.2457        | 27.0  | 1458 | 1.4133          | 0.2667   |
| 1.2973        | 28.0  | 1512 | 1.4101          | 0.2667   |
| 1.2458        | 29.0  | 1566 | 1.4073          | 0.2667   |
| 1.2514        | 30.0  | 1620 | 1.4047          | 0.2667   |
| 1.2628        | 31.0  | 1674 | 1.4024          | 0.2667   |
| 1.2215        | 32.0  | 1728 | 1.4002          | 0.2667   |
| 1.2281        | 33.0  | 1782 | 1.3981          | 0.2444   |
| 1.227         | 34.0  | 1836 | 1.3962          | 0.2444   |
| 1.2487        | 35.0  | 1890 | 1.3944          | 0.2444   |
| 1.2942        | 36.0  | 1944 | 1.3928          | 0.2444   |
| 1.2106        | 37.0  | 1998 | 1.3914          | 0.2667   |
| 1.2077        | 38.0  | 2052 | 1.3902          | 0.2667   |
| 1.2861        | 39.0  | 2106 | 1.3891          | 0.2667   |
| 1.2304        | 40.0  | 2160 | 1.3881          | 0.2667   |
| 1.2427        | 41.0  | 2214 | 1.3872          | 0.2667   |
| 1.2209        | 42.0  | 2268 | 1.3864          | 0.2667   |
| 1.1937        | 43.0  | 2322 | 1.3858          | 0.2667   |
| 1.245         | 44.0  | 2376 | 1.3852          | 0.2667   |
| 1.1871        | 45.0  | 2430 | 1.3847          | 0.2667   |
| 1.1872        | 46.0  | 2484 | 1.3844          | 0.2667   |
| 1.1867        | 47.0  | 2538 | 1.3841          | 0.2667   |
| 1.2331        | 48.0  | 2592 | 1.3840          | 0.2667   |
| 1.2482        | 49.0  | 2646 | 1.3839          | 0.2667   |
| 1.2163        | 50.0  | 2700 | 1.3839          | 0.2667   |


### 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_5x_beit_large_SGD_lr0001_fold1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.26666666666666666, "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