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# hushem_40x_beit_large_sgd_lr0001_fold1

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: 0.8303
- Accuracy: 0.6222

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.4652        | 1.0   | 429   | 1.5395          | 0.2222   |
| 1.3404        | 2.0   | 858   | 1.4930          | 0.2444   |
| 1.2759        | 3.0   | 1287  | 1.4563          | 0.2444   |
| 1.1876        | 4.0   | 1716  | 1.4171          | 0.2667   |
| 1.1582        | 5.0   | 2145  | 1.3795          | 0.2667   |
| 1.0486        | 6.0   | 2574  | 1.3456          | 0.3556   |
| 1.0092        | 7.0   | 3003  | 1.3129          | 0.4      |
| 0.9476        | 8.0   | 3432  | 1.2793          | 0.4      |
| 0.8789        | 9.0   | 3861  | 1.2464          | 0.4222   |
| 0.909         | 10.0  | 4290  | 1.2134          | 0.4222   |
| 0.8708        | 11.0  | 4719  | 1.1857          | 0.4444   |
| 0.8254        | 12.0  | 5148  | 1.1590          | 0.4889   |
| 0.7743        | 13.0  | 5577  | 1.1333          | 0.4889   |
| 0.7021        | 14.0  | 6006  | 1.1097          | 0.5111   |
| 0.745         | 15.0  | 6435  | 1.0882          | 0.5111   |
| 0.7327        | 16.0  | 6864  | 1.0694          | 0.5111   |
| 0.7045        | 17.0  | 7293  | 1.0525          | 0.5556   |
| 0.6392        | 18.0  | 7722  | 1.0335          | 0.5556   |
| 0.6014        | 19.0  | 8151  | 1.0186          | 0.6222   |
| 0.6504        | 20.0  | 8580  | 1.0026          | 0.6222   |
| 0.6167        | 21.0  | 9009  | 0.9886          | 0.6222   |
| 0.6018        | 22.0  | 9438  | 0.9748          | 0.6222   |
| 0.5018        | 23.0  | 9867  | 0.9620          | 0.6222   |
| 0.5658        | 24.0  | 10296 | 0.9515          | 0.6222   |
| 0.5044        | 25.0  | 10725 | 0.9398          | 0.6222   |
| 0.5669        | 26.0  | 11154 | 0.9300          | 0.6222   |
| 0.4965        | 27.0  | 11583 | 0.9202          | 0.6222   |
| 0.4951        | 28.0  | 12012 | 0.9106          | 0.6222   |
| 0.465         | 29.0  | 12441 | 0.9033          | 0.6222   |
| 0.4867        | 30.0  | 12870 | 0.8939          | 0.6222   |
| 0.4073        | 31.0  | 13299 | 0.8883          | 0.6222   |
| 0.502         | 32.0  | 13728 | 0.8822          | 0.6222   |
| 0.438         | 33.0  | 14157 | 0.8771          | 0.6222   |
| 0.4509        | 34.0  | 14586 | 0.8708          | 0.6222   |
| 0.3935        | 35.0  | 15015 | 0.8642          | 0.6222   |
| 0.4402        | 36.0  | 15444 | 0.8595          | 0.6222   |
| 0.4403        | 37.0  | 15873 | 0.8555          | 0.6222   |
| 0.4383        | 38.0  | 16302 | 0.8509          | 0.6222   |
| 0.4602        | 39.0  | 16731 | 0.8485          | 0.6222   |
| 0.4033        | 40.0  | 17160 | 0.8459          | 0.6222   |
| 0.406         | 41.0  | 17589 | 0.8421          | 0.6222   |
| 0.4242        | 42.0  | 18018 | 0.8393          | 0.6222   |
| 0.4424        | 43.0  | 18447 | 0.8367          | 0.6222   |
| 0.4063        | 44.0  | 18876 | 0.8344          | 0.6222   |
| 0.4278        | 45.0  | 19305 | 0.8331          | 0.6222   |
| 0.3536        | 46.0  | 19734 | 0.8319          | 0.6222   |
| 0.3727        | 47.0  | 20163 | 0.8311          | 0.6222   |
| 0.4053        | 48.0  | 20592 | 0.8308          | 0.6222   |
| 0.4419        | 49.0  | 21021 | 0.8304          | 0.6222   |
| 0.4047        | 50.0  | 21450 | 0.8303          | 0.6222   |


### 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_fold1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.6222222222222222, "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