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# hushem_40x_beit_large_sgd_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: 1.4353
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.6095        | 1.0   | 434   | 1.5758          | 0.1860   |
| 1.6478        | 2.0   | 868   | 1.5681          | 0.1860   |
| 1.6164        | 3.0   | 1302  | 1.5611          | 0.1860   |
| 1.5253        | 4.0   | 1736  | 1.5545          | 0.1860   |
| 1.5671        | 5.0   | 2170  | 1.5482          | 0.1860   |
| 1.5781        | 6.0   | 2604  | 1.5423          | 0.1860   |
| 1.6           | 7.0   | 3038  | 1.5366          | 0.1860   |
| 1.5566        | 8.0   | 3472  | 1.5312          | 0.1860   |
| 1.5907        | 9.0   | 3906  | 1.5260          | 0.1860   |
| 1.5387        | 10.0  | 4340  | 1.5210          | 0.1860   |
| 1.5308        | 11.0  | 4774  | 1.5162          | 0.1860   |
| 1.5624        | 12.0  | 5208  | 1.5115          | 0.1860   |
| 1.5255        | 13.0  | 5642  | 1.5069          | 0.1860   |
| 1.5206        | 14.0  | 6076  | 1.5027          | 0.2093   |
| 1.4956        | 15.0  | 6510  | 1.4985          | 0.2093   |
| 1.4699        | 16.0  | 6944  | 1.4946          | 0.2093   |
| 1.5493        | 17.0  | 7378  | 1.4907          | 0.2093   |
| 1.4431        | 18.0  | 7812  | 1.4871          | 0.2093   |
| 1.5653        | 19.0  | 8246  | 1.4835          | 0.2093   |
| 1.4951        | 20.0  | 8680  | 1.4801          | 0.2093   |
| 1.4992        | 21.0  | 9114  | 1.4769          | 0.2093   |
| 1.491         | 22.0  | 9548  | 1.4738          | 0.2093   |
| 1.5072        | 23.0  | 9982  | 1.4708          | 0.2093   |
| 1.4412        | 24.0  | 10416 | 1.4680          | 0.2326   |
| 1.4376        | 25.0  | 10850 | 1.4654          | 0.2326   |
| 1.4791        | 26.0  | 11284 | 1.4628          | 0.2326   |
| 1.4207        | 27.0  | 11718 | 1.4603          | 0.2326   |
| 1.498         | 28.0  | 12152 | 1.4581          | 0.2326   |
| 1.445         | 29.0  | 12586 | 1.4559          | 0.2558   |
| 1.5419        | 30.0  | 13020 | 1.4538          | 0.2558   |
| 1.4085        | 31.0  | 13454 | 1.4519          | 0.2558   |
| 1.4164        | 32.0  | 13888 | 1.4501          | 0.2558   |
| 1.4214        | 33.0  | 14322 | 1.4484          | 0.2558   |
| 1.411         | 34.0  | 14756 | 1.4468          | 0.2558   |
| 1.4833        | 35.0  | 15190 | 1.4453          | 0.2558   |
| 1.4503        | 36.0  | 15624 | 1.4439          | 0.2558   |
| 1.4666        | 37.0  | 16058 | 1.4427          | 0.2558   |
| 1.4428        | 38.0  | 16492 | 1.4415          | 0.2558   |
| 1.3837        | 39.0  | 16926 | 1.4404          | 0.2558   |
| 1.4256        | 40.0  | 17360 | 1.4395          | 0.2558   |
| 1.4537        | 41.0  | 17794 | 1.4386          | 0.2558   |
| 1.4246        | 42.0  | 18228 | 1.4379          | 0.2558   |
| 1.445         | 43.0  | 18662 | 1.4372          | 0.2791   |
| 1.4538        | 44.0  | 19096 | 1.4367          | 0.2791   |
| 1.3918        | 45.0  | 19530 | 1.4362          | 0.2791   |
| 1.4584        | 46.0  | 19964 | 1.4359          | 0.2791   |
| 1.494         | 47.0  | 20398 | 1.4356          | 0.2791   |
| 1.469         | 48.0  | 20832 | 1.4354          | 0.2791   |
| 1.4554        | 49.0  | 21266 | 1.4353          | 0.2791   |
| 1.469         | 50.0  | 21700 | 1.4353          | 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_40x_beit_large_sgd_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