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# hushem_40x_beit_base_rmsprop_lr00001_fold3

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: 0.8445
- Accuracy: 0.9070

## 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: 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.0246        | 1.0   | 217   | 0.7189          | 0.8605   |
| 0.0041        | 2.0   | 434   | 0.9947          | 0.8605   |
| 0.0021        | 3.0   | 651   | 0.7643          | 0.9070   |
| 0.0002        | 4.0   | 868   | 0.9275          | 0.8605   |
| 0.0051        | 5.0   | 1085  | 1.0682          | 0.9070   |
| 0.0306        | 6.0   | 1302  | 0.8802          | 0.9070   |
| 0.0           | 7.0   | 1519  | 1.0664          | 0.8837   |
| 0.0298        | 8.0   | 1736  | 0.7621          | 0.9070   |
| 0.0001        | 9.0   | 1953  | 0.9893          | 0.8837   |
| 0.0           | 10.0  | 2170  | 1.3856          | 0.8605   |
| 0.0           | 11.0  | 2387  | 1.0112          | 0.8605   |
| 0.0           | 12.0  | 2604  | 0.8811          | 0.9302   |
| 0.0           | 13.0  | 2821  | 1.0204          | 0.8837   |
| 0.0218        | 14.0  | 3038  | 1.1432          | 0.9070   |
| 0.0           | 15.0  | 3255  | 0.9145          | 0.9070   |
| 0.0           | 16.0  | 3472  | 1.0957          | 0.9070   |
| 0.0           | 17.0  | 3689  | 0.5599          | 0.9302   |
| 0.0           | 18.0  | 3906  | 0.7989          | 0.9302   |
| 0.0           | 19.0  | 4123  | 1.0037          | 0.9070   |
| 0.0           | 20.0  | 4340  | 0.9661          | 0.9302   |
| 0.0           | 21.0  | 4557  | 0.9008          | 0.9302   |
| 0.0           | 22.0  | 4774  | 1.0008          | 0.9070   |
| 0.0           | 23.0  | 4991  | 0.7348          | 0.9535   |
| 0.0           | 24.0  | 5208  | 0.6405          | 0.9302   |
| 0.0           | 25.0  | 5425  | 0.6791          | 0.9302   |
| 0.0           | 26.0  | 5642  | 1.2514          | 0.8837   |
| 0.0           | 27.0  | 5859  | 1.3026          | 0.8837   |
| 0.0           | 28.0  | 6076  | 0.9291          | 0.9070   |
| 0.0           | 29.0  | 6293  | 1.0684          | 0.8837   |
| 0.0           | 30.0  | 6510  | 0.8944          | 0.8837   |
| 0.0           | 31.0  | 6727  | 1.0164          | 0.8837   |
| 0.0           | 32.0  | 6944  | 1.0808          | 0.8837   |
| 0.0           | 33.0  | 7161  | 1.0519          | 0.8837   |
| 0.0           | 34.0  | 7378  | 0.7292          | 0.9070   |
| 0.0           | 35.0  | 7595  | 1.1410          | 0.8837   |
| 0.0           | 36.0  | 7812  | 1.1410          | 0.8837   |
| 0.0           | 37.0  | 8029  | 1.0951          | 0.8605   |
| 0.0           | 38.0  | 8246  | 1.1037          | 0.8837   |
| 0.0           | 39.0  | 8463  | 1.1884          | 0.8605   |
| 0.0           | 40.0  | 8680  | 0.9182          | 0.8837   |
| 0.0           | 41.0  | 8897  | 0.8177          | 0.8837   |
| 0.0           | 42.0  | 9114  | 0.8660          | 0.8837   |
| 0.0           | 43.0  | 9331  | 1.0258          | 0.8605   |
| 0.0           | 44.0  | 9548  | 0.9975          | 0.8605   |
| 0.0           | 45.0  | 9765  | 1.1284          | 0.8837   |
| 0.0           | 46.0  | 9982  | 0.9280          | 0.8837   |
| 0.0           | 47.0  | 10199 | 0.9279          | 0.8837   |
| 0.0           | 48.0  | 10416 | 0.8453          | 0.9070   |
| 0.0           | 49.0  | 10633 | 0.8434          | 0.9070   |
| 0.0           | 50.0  | 10850 | 0.8445          | 0.9070   |


### 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-base-patch16-224", "model-index": [{"name": "hushem_40x_beit_base_rmsprop_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": 0.9069767441860465, "name": "Accuracy"}]}]}]}
transformers 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