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# HUSHEM_5x_beit_large_SGDx_lr00001_fold3

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: 1.5375
- Accuracy: 0.2791

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6348        | 1.0   | 55   | 1.5873          | 0.3023   |
| 1.7861        | 2.0   | 110  | 1.5848          | 0.3023   |
| 1.7693        | 3.0   | 165  | 1.5825          | 0.3023   |
| 1.6546        | 4.0   | 220  | 1.5803          | 0.3023   |
| 1.6563        | 5.0   | 275  | 1.5782          | 0.3023   |
| 1.655         | 6.0   | 330  | 1.5761          | 0.3023   |
| 1.6158        | 7.0   | 385  | 1.5740          | 0.3023   |
| 1.6564        | 8.0   | 440  | 1.5721          | 0.3023   |
| 1.6298        | 9.0   | 495  | 1.5702          | 0.3023   |
| 1.5441        | 10.0  | 550  | 1.5684          | 0.3023   |
| 1.576         | 11.0  | 605  | 1.5666          | 0.3023   |
| 1.6325        | 12.0  | 660  | 1.5649          | 0.3023   |
| 1.55          | 13.0  | 715  | 1.5633          | 0.3023   |
| 1.5796        | 14.0  | 770  | 1.5617          | 0.3023   |
| 1.5744        | 15.0  | 825  | 1.5602          | 0.3023   |
| 1.6076        | 16.0  | 880  | 1.5587          | 0.2791   |
| 1.7235        | 17.0  | 935  | 1.5573          | 0.2791   |
| 1.5483        | 18.0  | 990  | 1.5560          | 0.2791   |
| 1.513         | 19.0  | 1045 | 1.5547          | 0.2791   |
| 1.6032        | 20.0  | 1100 | 1.5534          | 0.2791   |
| 1.5486        | 21.0  | 1155 | 1.5522          | 0.2791   |
| 1.7023        | 22.0  | 1210 | 1.5511          | 0.2791   |
| 1.5486        | 23.0  | 1265 | 1.5501          | 0.2791   |
| 1.6291        | 24.0  | 1320 | 1.5491          | 0.2791   |
| 1.5249        | 25.0  | 1375 | 1.5481          | 0.2791   |
| 1.6085        | 26.0  | 1430 | 1.5472          | 0.2791   |
| 1.653         | 27.0  | 1485 | 1.5463          | 0.2791   |
| 1.5768        | 28.0  | 1540 | 1.5455          | 0.2791   |
| 1.5643        | 29.0  | 1595 | 1.5447          | 0.2791   |
| 1.7038        | 30.0  | 1650 | 1.5439          | 0.2791   |
| 1.5742        | 31.0  | 1705 | 1.5433          | 0.2791   |
| 1.6403        | 32.0  | 1760 | 1.5426          | 0.2791   |
| 1.614         | 33.0  | 1815 | 1.5420          | 0.2791   |
| 1.7663        | 34.0  | 1870 | 1.5414          | 0.2791   |
| 1.5307        | 35.0  | 1925 | 1.5409          | 0.2791   |
| 1.6411        | 36.0  | 1980 | 1.5404          | 0.2791   |
| 1.6475        | 37.0  | 2035 | 1.5400          | 0.2791   |
| 1.5732        | 38.0  | 2090 | 1.5396          | 0.2791   |
| 1.5907        | 39.0  | 2145 | 1.5392          | 0.2791   |
| 1.5491        | 40.0  | 2200 | 1.5389          | 0.2791   |
| 1.6116        | 41.0  | 2255 | 1.5386          | 0.2791   |
| 1.54          | 42.0  | 2310 | 1.5383          | 0.2791   |
| 1.5438        | 43.0  | 2365 | 1.5381          | 0.2791   |
| 1.6152        | 44.0  | 2420 | 1.5379          | 0.2791   |
| 1.5604        | 45.0  | 2475 | 1.5377          | 0.2791   |
| 1.6508        | 46.0  | 2530 | 1.5376          | 0.2791   |
| 1.5404        | 47.0  | 2585 | 1.5376          | 0.2791   |
| 1.6266        | 48.0  | 2640 | 1.5375          | 0.2791   |
| 1.5131        | 49.0  | 2695 | 1.5375          | 0.2791   |
| 1.576         | 50.0  | 2750 | 1.5375          | 0.2791   |


### 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_fold3", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.27906976744186046, "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