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# hushem_40x_beit_large_sgd_lr0001_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: 0.5832
- Accuracy: 0.7674

## 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: 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.5165        | 1.0   | 434   | 1.5122          | 0.1860   |
| 1.4751        | 2.0   | 868   | 1.4505          | 0.2558   |
| 1.4125        | 3.0   | 1302  | 1.3954          | 0.3256   |
| 1.2556        | 4.0   | 1736  | 1.3430          | 0.3488   |
| 1.299         | 5.0   | 2170  | 1.2929          | 0.4419   |
| 1.226         | 6.0   | 2604  | 1.2460          | 0.5116   |
| 1.1945        | 7.0   | 3038  | 1.1989          | 0.5349   |
| 1.1476        | 8.0   | 3472  | 1.1550          | 0.5581   |
| 1.1012        | 9.0   | 3906  | 1.1108          | 0.5814   |
| 1.0384        | 10.0  | 4340  | 1.0712          | 0.5814   |
| 1.0315        | 11.0  | 4774  | 1.0331          | 0.6279   |
| 1.0211        | 12.0  | 5208  | 0.9981          | 0.6512   |
| 0.8995        | 13.0  | 5642  | 0.9629          | 0.6512   |
| 0.8341        | 14.0  | 6076  | 0.9319          | 0.6744   |
| 0.7975        | 15.0  | 6510  | 0.9025          | 0.7442   |
| 0.756         | 16.0  | 6944  | 0.8756          | 0.7442   |
| 0.8442        | 17.0  | 7378  | 0.8509          | 0.7907   |
| 0.7555        | 18.0  | 7812  | 0.8270          | 0.7907   |
| 0.815         | 19.0  | 8246  | 0.8060          | 0.7907   |
| 0.75          | 20.0  | 8680  | 0.7879          | 0.7907   |
| 0.6845        | 21.0  | 9114  | 0.7693          | 0.7907   |
| 0.6674        | 22.0  | 9548  | 0.7521          | 0.7907   |
| 0.6962        | 23.0  | 9982  | 0.7374          | 0.7674   |
| 0.6617        | 24.0  | 10416 | 0.7238          | 0.7674   |
| 0.6023        | 25.0  | 10850 | 0.7106          | 0.7674   |
| 0.632         | 26.0  | 11284 | 0.6982          | 0.7674   |
| 0.6972        | 27.0  | 11718 | 0.6871          | 0.7674   |
| 0.6263        | 28.0  | 12152 | 0.6763          | 0.7674   |
| 0.5663        | 29.0  | 12586 | 0.6667          | 0.7674   |
| 0.6503        | 30.0  | 13020 | 0.6580          | 0.7674   |
| 0.5505        | 31.0  | 13454 | 0.6488          | 0.7674   |
| 0.5699        | 32.0  | 13888 | 0.6413          | 0.7674   |
| 0.5585        | 33.0  | 14322 | 0.6347          | 0.7674   |
| 0.5343        | 34.0  | 14756 | 0.6282          | 0.7674   |
| 0.5978        | 35.0  | 15190 | 0.6216          | 0.7442   |
| 0.5878        | 36.0  | 15624 | 0.6166          | 0.7442   |
| 0.5152        | 37.0  | 16058 | 0.6117          | 0.7442   |
| 0.5232        | 38.0  | 16492 | 0.6071          | 0.7442   |
| 0.5069        | 39.0  | 16926 | 0.6028          | 0.7442   |
| 0.5144        | 40.0  | 17360 | 0.5988          | 0.7442   |
| 0.5064        | 41.0  | 17794 | 0.5956          | 0.7442   |
| 0.5511        | 42.0  | 18228 | 0.5925          | 0.7674   |
| 0.5232        | 43.0  | 18662 | 0.5901          | 0.7674   |
| 0.5475        | 44.0  | 19096 | 0.5879          | 0.7674   |
| 0.5241        | 45.0  | 19530 | 0.5863          | 0.7674   |
| 0.562         | 46.0  | 19964 | 0.5851          | 0.7674   |
| 0.5027        | 47.0  | 20398 | 0.5841          | 0.7674   |
| 0.498         | 48.0  | 20832 | 0.5836          | 0.7674   |
| 0.5256        | 49.0  | 21266 | 0.5832          | 0.7674   |
| 0.4884        | 50.0  | 21700 | 0.5832          | 0.7674   |


### 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_lr0001_fold3", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.7674418604651163, "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