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# hushem_40x_beit_large_sgd_lr00001_fold4

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: 1.4599
- Accuracy: 0.1667

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.4818        | 1.0   | 437   | 1.6311          | 0.0952   |
| 1.6553        | 2.0   | 874   | 1.6233          | 0.0714   |
| 1.5692        | 3.0   | 1311  | 1.6159          | 0.0714   |
| 1.5848        | 4.0   | 1748  | 1.6089          | 0.0952   |
| 1.5469        | 5.0   | 2185  | 1.6020          | 0.0952   |
| 1.4971        | 6.0   | 2622  | 1.5952          | 0.0952   |
| 1.6026        | 7.0   | 3059  | 1.5888          | 0.0952   |
| 1.5543        | 8.0   | 3496  | 1.5823          | 0.0952   |
| 1.5873        | 9.0   | 3933  | 1.5761          | 0.0952   |
| 1.4393        | 10.0  | 4370  | 1.5702          | 0.0952   |
| 1.4683        | 11.0  | 4807  | 1.5643          | 0.0952   |
| 1.4895        | 12.0  | 5244  | 1.5587          | 0.0952   |
| 1.4549        | 13.0  | 5681  | 1.5532          | 0.1190   |
| 1.4756        | 14.0  | 6118  | 1.5480          | 0.1190   |
| 1.4266        | 15.0  | 6555  | 1.5429          | 0.1190   |
| 1.4505        | 16.0  | 6992  | 1.5381          | 0.1429   |
| 1.4694        | 17.0  | 7429  | 1.5332          | 0.1429   |
| 1.4431        | 18.0  | 7866  | 1.5285          | 0.1429   |
| 1.4459        | 19.0  | 8303  | 1.5240          | 0.1429   |
| 1.5168        | 20.0  | 8740  | 1.5197          | 0.1429   |
| 1.4437        | 21.0  | 9177  | 1.5154          | 0.1429   |
| 1.468         | 22.0  | 9614  | 1.5113          | 0.1429   |
| 1.4716        | 23.0  | 10051 | 1.5073          | 0.1429   |
| 1.4386        | 24.0  | 10488 | 1.5039          | 0.1429   |
| 1.4612        | 25.0  | 10925 | 1.5004          | 0.1429   |
| 1.4312        | 26.0  | 11362 | 1.4971          | 0.1429   |
| 1.4471        | 27.0  | 11799 | 1.4937          | 0.1429   |
| 1.5279        | 28.0  | 12236 | 1.4907          | 0.1429   |
| 1.4299        | 29.0  | 12673 | 1.4878          | 0.1429   |
| 1.4283        | 30.0  | 13110 | 1.4850          | 0.1429   |
| 1.3932        | 31.0  | 13547 | 1.4824          | 0.1429   |
| 1.3897        | 32.0  | 13984 | 1.4800          | 0.1429   |
| 1.4409        | 33.0  | 14421 | 1.4777          | 0.1429   |
| 1.4218        | 34.0  | 14858 | 1.4756          | 0.1667   |
| 1.4105        | 35.0  | 15295 | 1.4735          | 0.1667   |
| 1.3921        | 36.0  | 15732 | 1.4716          | 0.1667   |
| 1.4568        | 37.0  | 16169 | 1.4699          | 0.1667   |
| 1.4373        | 38.0  | 16606 | 1.4682          | 0.1667   |
| 1.4643        | 39.0  | 17043 | 1.4668          | 0.1667   |
| 1.4227        | 40.0  | 17480 | 1.4655          | 0.1667   |
| 1.3891        | 41.0  | 17917 | 1.4644          | 0.1667   |
| 1.4936        | 42.0  | 18354 | 1.4634          | 0.1667   |
| 1.4111        | 43.0  | 18791 | 1.4626          | 0.1667   |
| 1.4395        | 44.0  | 19228 | 1.4618          | 0.1667   |
| 1.3443        | 45.0  | 19665 | 1.4612          | 0.1667   |
| 1.4318        | 46.0  | 20102 | 1.4607          | 0.1667   |
| 1.3868        | 47.0  | 20539 | 1.4603          | 0.1667   |
| 1.4088        | 48.0  | 20976 | 1.4601          | 0.1667   |
| 1.4269        | 49.0  | 21413 | 1.4599          | 0.1667   |
| 1.3711        | 50.0  | 21850 | 1.4599          | 0.1667   |


### 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_fold4", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.16666666666666666, "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