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# hushem_40x_beit_large_sgd_lr0001_fold2

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: 0.9241
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.5306        | 1.0   | 429   | 1.4131          | 0.2889   |
| 1.4117        | 2.0   | 858   | 1.3736          | 0.3111   |
| 1.4274        | 3.0   | 1287  | 1.3425          | 0.2889   |
| 1.29          | 4.0   | 1716  | 1.3196          | 0.3111   |
| 1.2634        | 5.0   | 2145  | 1.3027          | 0.3111   |
| 1.2443        | 6.0   | 2574  | 1.2881          | 0.2889   |
| 1.0812        | 7.0   | 3003  | 1.2736          | 0.3333   |
| 1.1203        | 8.0   | 3432  | 1.2597          | 0.3556   |
| 1.0546        | 9.0   | 3861  | 1.2428          | 0.3778   |
| 1.0618        | 10.0  | 4290  | 1.2238          | 0.4444   |
| 0.9132        | 11.0  | 4719  | 1.2075          | 0.4667   |
| 0.9556        | 12.0  | 5148  | 1.1914          | 0.5111   |
| 0.886         | 13.0  | 5577  | 1.1774          | 0.5111   |
| 0.7846        | 14.0  | 6006  | 1.1630          | 0.5111   |
| 0.8652        | 15.0  | 6435  | 1.1488          | 0.5333   |
| 0.8161        | 16.0  | 6864  | 1.1344          | 0.5111   |
| 0.7892        | 17.0  | 7293  | 1.1216          | 0.5333   |
| 0.8035        | 18.0  | 7722  | 1.1092          | 0.5556   |
| 0.6892        | 19.0  | 8151  | 1.0952          | 0.5556   |
| 0.8004        | 20.0  | 8580  | 1.0837          | 0.5778   |
| 0.6678        | 21.0  | 9009  | 1.0710          | 0.5556   |
| 0.8015        | 22.0  | 9438  | 1.0597          | 0.5556   |
| 0.7382        | 23.0  | 9867  | 1.0496          | 0.5556   |
| 0.6291        | 24.0  | 10296 | 1.0380          | 0.5556   |
| 0.6618        | 25.0  | 10725 | 1.0286          | 0.5556   |
| 0.6485        | 26.0  | 11154 | 1.0189          | 0.5778   |
| 0.6615        | 27.0  | 11583 | 1.0099          | 0.6      |
| 0.6226        | 28.0  | 12012 | 1.0020          | 0.6      |
| 0.5724        | 29.0  | 12441 | 0.9931          | 0.6      |
| 0.5807        | 30.0  | 12870 | 0.9865          | 0.6      |
| 0.5352        | 31.0  | 13299 | 0.9786          | 0.6      |
| 0.5032        | 32.0  | 13728 | 0.9718          | 0.6      |
| 0.5341        | 33.0  | 14157 | 0.9661          | 0.6222   |
| 0.5679        | 34.0  | 14586 | 0.9616          | 0.6222   |
| 0.5015        | 35.0  | 15015 | 0.9552          | 0.6222   |
| 0.5167        | 36.0  | 15444 | 0.9508          | 0.6222   |
| 0.5529        | 37.0  | 15873 | 0.9468          | 0.6222   |
| 0.5329        | 38.0  | 16302 | 0.9426          | 0.6222   |
| 0.5433        | 39.0  | 16731 | 0.9389          | 0.6222   |
| 0.4913        | 40.0  | 17160 | 0.9362          | 0.6222   |
| 0.5233        | 41.0  | 17589 | 0.9331          | 0.6222   |
| 0.5379        | 42.0  | 18018 | 0.9316          | 0.6222   |
| 0.4669        | 43.0  | 18447 | 0.9299          | 0.6222   |
| 0.4286        | 44.0  | 18876 | 0.9281          | 0.6222   |
| 0.5124        | 45.0  | 19305 | 0.9266          | 0.6222   |
| 0.502         | 46.0  | 19734 | 0.9254          | 0.6222   |
| 0.5196        | 47.0  | 20163 | 0.9249          | 0.6222   |
| 0.4257        | 48.0  | 20592 | 0.9244          | 0.6222   |
| 0.445         | 49.0  | 21021 | 0.9242          | 0.6222   |
| 0.5157        | 50.0  | 21450 | 0.9241          | 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_fold2", "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