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# hushem_5x_beit_base_sgd_0001_fold1

This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4758
- Accuracy: 0.2

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5631        | 1.0   | 27   | 1.5965          | 0.2      |
| 1.5261        | 2.0   | 54   | 1.5854          | 0.1778   |
| 1.5551        | 3.0   | 81   | 1.5758          | 0.2      |
| 1.5522        | 4.0   | 108  | 1.5674          | 0.2      |
| 1.4767        | 5.0   | 135  | 1.5601          | 0.2      |
| 1.4799        | 6.0   | 162  | 1.5535          | 0.2      |
| 1.5065        | 7.0   | 189  | 1.5472          | 0.2      |
| 1.5301        | 8.0   | 216  | 1.5418          | 0.2      |
| 1.4981        | 9.0   | 243  | 1.5367          | 0.2      |
| 1.4696        | 10.0  | 270  | 1.5320          | 0.2      |
| 1.4575        | 11.0  | 297  | 1.5277          | 0.2      |
| 1.4826        | 12.0  | 324  | 1.5238          | 0.2      |
| 1.4275        | 13.0  | 351  | 1.5196          | 0.2      |
| 1.4684        | 14.0  | 378  | 1.5162          | 0.2      |
| 1.4436        | 15.0  | 405  | 1.5135          | 0.2      |
| 1.4518        | 16.0  | 432  | 1.5107          | 0.2      |
| 1.4184        | 17.0  | 459  | 1.5080          | 0.2      |
| 1.4127        | 18.0  | 486  | 1.5055          | 0.2      |
| 1.4162        | 19.0  | 513  | 1.5030          | 0.2      |
| 1.4552        | 20.0  | 540  | 1.5007          | 0.2      |
| 1.4347        | 21.0  | 567  | 1.4985          | 0.2      |
| 1.4312        | 22.0  | 594  | 1.4966          | 0.2      |
| 1.4267        | 23.0  | 621  | 1.4951          | 0.2      |
| 1.404         | 24.0  | 648  | 1.4936          | 0.2      |
| 1.4395        | 25.0  | 675  | 1.4920          | 0.2      |
| 1.4235        | 26.0  | 702  | 1.4904          | 0.2      |
| 1.4259        | 27.0  | 729  | 1.4890          | 0.2      |
| 1.4251        | 28.0  | 756  | 1.4876          | 0.2      |
| 1.4285        | 29.0  | 783  | 1.4861          | 0.2      |
| 1.4033        | 30.0  | 810  | 1.4849          | 0.2      |
| 1.4061        | 31.0  | 837  | 1.4838          | 0.2      |
| 1.3751        | 32.0  | 864  | 1.4828          | 0.2      |
| 1.4088        | 33.0  | 891  | 1.4820          | 0.2      |
| 1.402         | 34.0  | 918  | 1.4811          | 0.2      |
| 1.4082        | 35.0  | 945  | 1.4803          | 0.2      |
| 1.4076        | 36.0  | 972  | 1.4796          | 0.2      |
| 1.3629        | 37.0  | 999  | 1.4789          | 0.2      |
| 1.3814        | 38.0  | 1026 | 1.4784          | 0.2      |
| 1.3967        | 39.0  | 1053 | 1.4779          | 0.2      |
| 1.3982        | 40.0  | 1080 | 1.4774          | 0.2      |
| 1.3817        | 41.0  | 1107 | 1.4771          | 0.2      |
| 1.4328        | 42.0  | 1134 | 1.4766          | 0.2      |
| 1.4018        | 43.0  | 1161 | 1.4763          | 0.2      |
| 1.4296        | 44.0  | 1188 | 1.4762          | 0.2      |
| 1.3826        | 45.0  | 1215 | 1.4760          | 0.2      |
| 1.4348        | 46.0  | 1242 | 1.4759          | 0.2      |
| 1.3915        | 47.0  | 1269 | 1.4758          | 0.2      |
| 1.3824        | 48.0  | 1296 | 1.4758          | 0.2      |
| 1.3767        | 49.0  | 1323 | 1.4758          | 0.2      |
| 1.374         | 50.0  | 1350 | 1.4758          | 0.2      |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/beit-base-patch16-224", "model-index": [{"name": "hushem_5x_beit_base_sgd_0001_fold1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.2, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors beit image-classification generated_from_trainer dataset:imagefolder base_model:microsoft/beit-base-patch16-224 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us