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# HUSHEM_10x_beit_large_SGD_lr0001_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: 1.0972
- Accuracy: 0.5122

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5139        | 1.0   | 110  | 1.5262          | 0.2439   |
| 1.6293        | 2.0   | 220  | 1.4848          | 0.2439   |
| 1.5846        | 3.0   | 330  | 1.4492          | 0.2439   |
| 1.496         | 4.0   | 440  | 1.4171          | 0.2683   |
| 1.4748        | 5.0   | 550  | 1.3901          | 0.2927   |
| 1.4117        | 6.0   | 660  | 1.3654          | 0.2927   |
| 1.3604        | 7.0   | 770  | 1.3443          | 0.3171   |
| 1.4198        | 8.0   | 880  | 1.3260          | 0.3171   |
| 1.438         | 9.0   | 990  | 1.3091          | 0.3659   |
| 1.4004        | 10.0  | 1100 | 1.2939          | 0.3902   |
| 1.3751        | 11.0  | 1210 | 1.2801          | 0.4146   |
| 1.3143        | 12.0  | 1320 | 1.2676          | 0.4390   |
| 1.3912        | 13.0  | 1430 | 1.2562          | 0.4390   |
| 1.3788        | 14.0  | 1540 | 1.2448          | 0.4390   |
| 1.3024        | 15.0  | 1650 | 1.2347          | 0.4390   |
| 1.2858        | 16.0  | 1760 | 1.2254          | 0.4634   |
| 1.2836        | 17.0  | 1870 | 1.2164          | 0.4634   |
| 1.2714        | 18.0  | 1980 | 1.2081          | 0.4390   |
| 1.215         | 19.0  | 2090 | 1.2007          | 0.4146   |
| 1.1764        | 20.0  | 2200 | 1.1931          | 0.4390   |
| 1.1306        | 21.0  | 2310 | 1.1861          | 0.4390   |
| 1.2195        | 22.0  | 2420 | 1.1797          | 0.4390   |
| 1.2174        | 23.0  | 2530 | 1.1734          | 0.4634   |
| 1.1984        | 24.0  | 2640 | 1.1674          | 0.4634   |
| 1.2219        | 25.0  | 2750 | 1.1616          | 0.4634   |
| 1.1733        | 26.0  | 2860 | 1.1566          | 0.4634   |
| 1.117         | 27.0  | 2970 | 1.1513          | 0.4634   |
| 1.2343        | 28.0  | 3080 | 1.1463          | 0.4634   |
| 1.1631        | 29.0  | 3190 | 1.1418          | 0.4634   |
| 1.1439        | 30.0  | 3300 | 1.1372          | 0.4634   |
| 1.1889        | 31.0  | 3410 | 1.1332          | 0.4634   |
| 1.0907        | 32.0  | 3520 | 1.1293          | 0.4878   |
| 1.1988        | 33.0  | 3630 | 1.1254          | 0.5122   |
| 1.2233        | 34.0  | 3740 | 1.1220          | 0.5122   |
| 1.1595        | 35.0  | 3850 | 1.1191          | 0.5122   |
| 1.1635        | 36.0  | 3960 | 1.1161          | 0.5122   |
| 1.2423        | 37.0  | 4070 | 1.1132          | 0.5122   |
| 1.0984        | 38.0  | 4180 | 1.1107          | 0.5122   |
| 1.1531        | 39.0  | 4290 | 1.1084          | 0.5122   |
| 1.1695        | 40.0  | 4400 | 1.1062          | 0.5122   |
| 1.1487        | 41.0  | 4510 | 1.1042          | 0.5122   |
| 1.1231        | 42.0  | 4620 | 1.1026          | 0.5122   |
| 1.0973        | 43.0  | 4730 | 1.1012          | 0.5122   |
| 1.1327        | 44.0  | 4840 | 1.1001          | 0.5122   |
| 1.1417        | 45.0  | 4950 | 1.0990          | 0.5122   |
| 1.1218        | 46.0  | 5060 | 1.0983          | 0.5122   |
| 1.1283        | 47.0  | 5170 | 1.0977          | 0.5122   |
| 1.0853        | 48.0  | 5280 | 1.0974          | 0.5122   |
| 1.1022        | 49.0  | 5390 | 1.0972          | 0.5122   |
| 1.1184        | 50.0  | 5500 | 1.0972          | 0.5122   |


### 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_fold5", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.5121951219512195, "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