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# HUSHEM_5x_beit_large_SGDx_lr00001_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: 1.3732
- Accuracy: 0.3556

## 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: 1e-05
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4465        | 1.0   | 54   | 1.3840          | 0.3556   |
| 1.3997        | 2.0   | 108  | 1.3835          | 0.3556   |
| 1.42          | 3.0   | 162  | 1.3830          | 0.3556   |
| 1.423         | 4.0   | 216  | 1.3826          | 0.3556   |
| 1.4868        | 5.0   | 270  | 1.3821          | 0.3556   |
| 1.477         | 6.0   | 324  | 1.3817          | 0.3556   |
| 1.4876        | 7.0   | 378  | 1.3812          | 0.3556   |
| 1.4843        | 8.0   | 432  | 1.3808          | 0.3333   |
| 1.4557        | 9.0   | 486  | 1.3804          | 0.3333   |
| 1.5565        | 10.0  | 540  | 1.3800          | 0.3333   |
| 1.4467        | 11.0  | 594  | 1.3796          | 0.3333   |
| 1.5106        | 12.0  | 648  | 1.3792          | 0.3333   |
| 1.4125        | 13.0  | 702  | 1.3789          | 0.3333   |
| 1.4653        | 14.0  | 756  | 1.3785          | 0.3333   |
| 1.4673        | 15.0  | 810  | 1.3782          | 0.3333   |
| 1.4583        | 16.0  | 864  | 1.3779          | 0.3333   |
| 1.4206        | 17.0  | 918  | 1.3776          | 0.3333   |
| 1.474         | 18.0  | 972  | 1.3773          | 0.3333   |
| 1.4383        | 19.0  | 1026 | 1.3770          | 0.3333   |
| 1.4035        | 20.0  | 1080 | 1.3767          | 0.3333   |
| 1.5005        | 21.0  | 1134 | 1.3765          | 0.3333   |
| 1.4974        | 22.0  | 1188 | 1.3762          | 0.3333   |
| 1.4265        | 23.0  | 1242 | 1.3760          | 0.3333   |
| 1.4437        | 24.0  | 1296 | 1.3758          | 0.3333   |
| 1.4642        | 25.0  | 1350 | 1.3755          | 0.3333   |
| 1.4954        | 26.0  | 1404 | 1.3753          | 0.3333   |
| 1.4065        | 27.0  | 1458 | 1.3751          | 0.3333   |
| 1.4423        | 28.0  | 1512 | 1.3749          | 0.3333   |
| 1.4097        | 29.0  | 1566 | 1.3748          | 0.3333   |
| 1.5423        | 30.0  | 1620 | 1.3746          | 0.3333   |
| 1.4753        | 31.0  | 1674 | 1.3744          | 0.3333   |
| 1.4363        | 32.0  | 1728 | 1.3743          | 0.3333   |
| 1.435         | 33.0  | 1782 | 1.3741          | 0.3333   |
| 1.4381        | 34.0  | 1836 | 1.3740          | 0.3333   |
| 1.4246        | 35.0  | 1890 | 1.3739          | 0.3333   |
| 1.4267        | 36.0  | 1944 | 1.3738          | 0.3333   |
| 1.4835        | 37.0  | 1998 | 1.3737          | 0.3333   |
| 1.4273        | 38.0  | 2052 | 1.3736          | 0.3333   |
| 1.4732        | 39.0  | 2106 | 1.3735          | 0.3333   |
| 1.497         | 40.0  | 2160 | 1.3735          | 0.3333   |
| 1.4388        | 41.0  | 2214 | 1.3734          | 0.3333   |
| 1.4632        | 42.0  | 2268 | 1.3733          | 0.3333   |
| 1.4266        | 43.0  | 2322 | 1.3733          | 0.3333   |
| 1.4092        | 44.0  | 2376 | 1.3733          | 0.3333   |
| 1.4417        | 45.0  | 2430 | 1.3732          | 0.3333   |
| 1.4161        | 46.0  | 2484 | 1.3732          | 0.3333   |
| 1.4404        | 47.0  | 2538 | 1.3732          | 0.3556   |
| 1.4581        | 48.0  | 2592 | 1.3732          | 0.3556   |
| 1.484         | 49.0  | 2646 | 1.3732          | 0.3556   |
| 1.3854        | 50.0  | 2700 | 1.3732          | 0.3556   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1

{"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_SGDx_lr00001_fold1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.35555555555555557, "name": "Accuracy"}]}]}]}
transformers safetensors 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