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# HUSHEM_5x_beit_large_SGDx_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: 1.5148
- Accuracy: 0.2195

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5311        | 1.0   | 55   | 1.5697          | 0.2439   |
| 1.6005        | 2.0   | 110  | 1.5670          | 0.2439   |
| 1.731         | 3.0   | 165  | 1.5644          | 0.2439   |
| 1.605         | 4.0   | 220  | 1.5620          | 0.2439   |
| 1.6388        | 5.0   | 275  | 1.5596          | 0.2439   |
| 1.7473        | 6.0   | 330  | 1.5574          | 0.2439   |
| 1.5508        | 7.0   | 385  | 1.5551          | 0.2439   |
| 1.6305        | 8.0   | 440  | 1.5529          | 0.2439   |
| 1.6275        | 9.0   | 495  | 1.5508          | 0.2439   |
| 1.6237        | 10.0  | 550  | 1.5488          | 0.2439   |
| 1.6172        | 11.0  | 605  | 1.5469          | 0.2439   |
| 1.529         | 12.0  | 660  | 1.5450          | 0.2439   |
| 1.6958        | 13.0  | 715  | 1.5433          | 0.2439   |
| 1.569         | 14.0  | 770  | 1.5416          | 0.2439   |
| 1.5746        | 15.0  | 825  | 1.5400          | 0.2195   |
| 1.6877        | 16.0  | 880  | 1.5384          | 0.2195   |
| 1.6352        | 17.0  | 935  | 1.5369          | 0.2195   |
| 1.4637        | 18.0  | 990  | 1.5354          | 0.2195   |
| 1.5576        | 19.0  | 1045 | 1.5339          | 0.2195   |
| 1.592         | 20.0  | 1100 | 1.5326          | 0.2195   |
| 1.5357        | 21.0  | 1155 | 1.5313          | 0.2195   |
| 1.583         | 22.0  | 1210 | 1.5301          | 0.2195   |
| 1.5228        | 23.0  | 1265 | 1.5289          | 0.2195   |
| 1.5213        | 24.0  | 1320 | 1.5277          | 0.2195   |
| 1.5103        | 25.0  | 1375 | 1.5266          | 0.2195   |
| 1.547         | 26.0  | 1430 | 1.5256          | 0.2195   |
| 1.6231        | 27.0  | 1485 | 1.5247          | 0.2195   |
| 1.5639        | 28.0  | 1540 | 1.5238          | 0.2195   |
| 1.5616        | 29.0  | 1595 | 1.5229          | 0.2195   |
| 1.5653        | 30.0  | 1650 | 1.5221          | 0.2195   |
| 1.5622        | 31.0  | 1705 | 1.5213          | 0.2195   |
| 1.5554        | 32.0  | 1760 | 1.5205          | 0.2195   |
| 1.5678        | 33.0  | 1815 | 1.5199          | 0.2195   |
| 1.5997        | 34.0  | 1870 | 1.5192          | 0.2195   |
| 1.65          | 35.0  | 1925 | 1.5186          | 0.2195   |
| 1.6538        | 36.0  | 1980 | 1.5181          | 0.2195   |
| 1.5496        | 37.0  | 2035 | 1.5176          | 0.2195   |
| 1.7124        | 38.0  | 2090 | 1.5171          | 0.2195   |
| 1.6184        | 39.0  | 2145 | 1.5167          | 0.2195   |
| 1.6827        | 40.0  | 2200 | 1.5163          | 0.2195   |
| 1.6245        | 41.0  | 2255 | 1.5160          | 0.2195   |
| 1.5404        | 42.0  | 2310 | 1.5157          | 0.2195   |
| 1.5751        | 43.0  | 2365 | 1.5154          | 0.2195   |
| 1.5424        | 44.0  | 2420 | 1.5152          | 0.2195   |
| 1.6259        | 45.0  | 2475 | 1.5151          | 0.2195   |
| 1.5633        | 46.0  | 2530 | 1.5150          | 0.2195   |
| 1.662         | 47.0  | 2585 | 1.5149          | 0.2195   |
| 1.7183        | 48.0  | 2640 | 1.5148          | 0.2195   |
| 1.46          | 49.0  | 2695 | 1.5148          | 0.2195   |
| 1.559         | 50.0  | 2750 | 1.5148          | 0.2195   |


### 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_fold5", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.21951219512195122, "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