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# HUSHEM_10x_beit_large_SGD_lr00001_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: 1.4722
- Accuracy: 0.2439

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5468        | 1.0   | 110  | 1.5674          | 0.2439   |
| 1.7148        | 2.0   | 220  | 1.5627          | 0.2439   |
| 1.7016        | 3.0   | 330  | 1.5582          | 0.2439   |
| 1.6263        | 4.0   | 440  | 1.5537          | 0.2439   |
| 1.5989        | 5.0   | 550  | 1.5495          | 0.2439   |
| 1.5928        | 6.0   | 660  | 1.5454          | 0.2439   |
| 1.5668        | 7.0   | 770  | 1.5416          | 0.2439   |
| 1.6904        | 8.0   | 880  | 1.5380          | 0.2439   |
| 1.6968        | 9.0   | 990  | 1.5344          | 0.2439   |
| 1.7018        | 10.0  | 1100 | 1.5311          | 0.2439   |
| 1.5844        | 11.0  | 1210 | 1.5278          | 0.2439   |
| 1.6131        | 12.0  | 1320 | 1.5247          | 0.2195   |
| 1.7056        | 13.0  | 1430 | 1.5216          | 0.2195   |
| 1.6945        | 14.0  | 1540 | 1.5186          | 0.2195   |
| 1.6103        | 15.0  | 1650 | 1.5156          | 0.2439   |
| 1.6246        | 16.0  | 1760 | 1.5128          | 0.2439   |
| 1.6027        | 17.0  | 1870 | 1.5101          | 0.2439   |
| 1.5939        | 18.0  | 1980 | 1.5076          | 0.2439   |
| 1.5553        | 19.0  | 2090 | 1.5051          | 0.2439   |
| 1.5224        | 20.0  | 2200 | 1.5028          | 0.2439   |
| 1.486         | 21.0  | 2310 | 1.5005          | 0.2439   |
| 1.5743        | 22.0  | 2420 | 1.4984          | 0.2439   |
| 1.5516        | 23.0  | 2530 | 1.4963          | 0.2439   |
| 1.5029        | 24.0  | 2640 | 1.4943          | 0.2439   |
| 1.5346        | 25.0  | 2750 | 1.4925          | 0.2439   |
| 1.5171        | 26.0  | 2860 | 1.4907          | 0.2439   |
| 1.4859        | 27.0  | 2970 | 1.4890          | 0.2439   |
| 1.5737        | 28.0  | 3080 | 1.4875          | 0.2439   |
| 1.5025        | 29.0  | 3190 | 1.4860          | 0.2439   |
| 1.5524        | 30.0  | 3300 | 1.4846          | 0.2439   |
| 1.5235        | 31.0  | 3410 | 1.4833          | 0.2439   |
| 1.5344        | 32.0  | 3520 | 1.4821          | 0.2439   |
| 1.5479        | 33.0  | 3630 | 1.4809          | 0.2439   |
| 1.6252        | 34.0  | 3740 | 1.4798          | 0.2439   |
| 1.5311        | 35.0  | 3850 | 1.4788          | 0.2439   |
| 1.5565        | 36.0  | 3960 | 1.4779          | 0.2439   |
| 1.6183        | 37.0  | 4070 | 1.4770          | 0.2439   |
| 1.4491        | 38.0  | 4180 | 1.4762          | 0.2439   |
| 1.5424        | 39.0  | 4290 | 1.4755          | 0.2439   |
| 1.5401        | 40.0  | 4400 | 1.4749          | 0.2439   |
| 1.5963        | 41.0  | 4510 | 1.4743          | 0.2439   |
| 1.5963        | 42.0  | 4620 | 1.4738          | 0.2439   |
| 1.5438        | 43.0  | 4730 | 1.4734          | 0.2439   |
| 1.5312        | 44.0  | 4840 | 1.4730          | 0.2439   |
| 1.5868        | 45.0  | 4950 | 1.4727          | 0.2439   |
| 1.5594        | 46.0  | 5060 | 1.4725          | 0.2439   |
| 1.5227        | 47.0  | 5170 | 1.4723          | 0.2439   |
| 1.4929        | 48.0  | 5280 | 1.4722          | 0.2439   |
| 1.5866        | 49.0  | 5390 | 1.4722          | 0.2439   |
| 1.5149        | 50.0  | 5500 | 1.4722          | 0.2439   |


### 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_lr00001_fold5", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.24390243902439024, "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