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# hushem_40x_beit_large_sgd_lr00001_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: 1.3702
- Accuracy: 0.3333

## 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: 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.5413        | 1.0   | 429   | 1.4269          | 0.2667   |
| 1.4732        | 2.0   | 858   | 1.4213          | 0.2667   |
| 1.5579        | 3.0   | 1287  | 1.4167          | 0.2667   |
| 1.5495        | 4.0   | 1716  | 1.4127          | 0.2667   |
| 1.5295        | 5.0   | 2145  | 1.4095          | 0.2889   |
| 1.4828        | 6.0   | 2574  | 1.4067          | 0.3111   |
| 1.5739        | 7.0   | 3003  | 1.4043          | 0.3111   |
| 1.4761        | 8.0   | 3432  | 1.4023          | 0.2889   |
| 1.4645        | 9.0   | 3861  | 1.4005          | 0.2667   |
| 1.498         | 10.0  | 4290  | 1.3989          | 0.2889   |
| 1.4788        | 11.0  | 4719  | 1.3975          | 0.3111   |
| 1.4721        | 12.0  | 5148  | 1.3959          | 0.3111   |
| 1.4607        | 13.0  | 5577  | 1.3946          | 0.2889   |
| 1.4039        | 14.0  | 6006  | 1.3933          | 0.2889   |
| 1.405         | 15.0  | 6435  | 1.3921          | 0.2889   |
| 1.4206        | 16.0  | 6864  | 1.3910          | 0.2889   |
| 1.4561        | 17.0  | 7293  | 1.3899          | 0.2889   |
| 1.4478        | 18.0  | 7722  | 1.3887          | 0.2889   |
| 1.3696        | 19.0  | 8151  | 1.3877          | 0.2889   |
| 1.4286        | 20.0  | 8580  | 1.3867          | 0.2889   |
| 1.4536        | 21.0  | 9009  | 1.3856          | 0.2889   |
| 1.356         | 22.0  | 9438  | 1.3846          | 0.2889   |
| 1.4305        | 23.0  | 9867  | 1.3836          | 0.2889   |
| 1.4137        | 24.0  | 10296 | 1.3826          | 0.2889   |
| 1.3722        | 25.0  | 10725 | 1.3817          | 0.2889   |
| 1.3814        | 26.0  | 11154 | 1.3808          | 0.3111   |
| 1.3882        | 27.0  | 11583 | 1.3800          | 0.3111   |
| 1.3776        | 28.0  | 12012 | 1.3791          | 0.3111   |
| 1.3441        | 29.0  | 12441 | 1.3783          | 0.3111   |
| 1.3608        | 30.0  | 12870 | 1.3775          | 0.3111   |
| 1.3516        | 31.0  | 13299 | 1.3768          | 0.3111   |
| 1.398         | 32.0  | 13728 | 1.3760          | 0.3111   |
| 1.3219        | 33.0  | 14157 | 1.3754          | 0.3111   |
| 1.349         | 34.0  | 14586 | 1.3747          | 0.3111   |
| 1.3504        | 35.0  | 15015 | 1.3742          | 0.3111   |
| 1.3098        | 36.0  | 15444 | 1.3736          | 0.3333   |
| 1.3279        | 37.0  | 15873 | 1.3731          | 0.3333   |
| 1.3509        | 38.0  | 16302 | 1.3727          | 0.3333   |
| 1.3832        | 39.0  | 16731 | 1.3723          | 0.3333   |
| 1.3938        | 40.0  | 17160 | 1.3719          | 0.3333   |
| 1.3187        | 41.0  | 17589 | 1.3715          | 0.3333   |
| 1.3822        | 42.0  | 18018 | 1.3712          | 0.3333   |
| 1.4155        | 43.0  | 18447 | 1.3710          | 0.3333   |
| 1.391         | 44.0  | 18876 | 1.3708          | 0.3333   |
| 1.3642        | 45.0  | 19305 | 1.3706          | 0.3333   |
| 1.4067        | 46.0  | 19734 | 1.3704          | 0.3333   |
| 1.3816        | 47.0  | 20163 | 1.3703          | 0.3333   |
| 1.31          | 48.0  | 20592 | 1.3702          | 0.3333   |
| 1.391         | 49.0  | 21021 | 1.3702          | 0.3333   |
| 1.3956        | 50.0  | 21450 | 1.3702          | 0.3333   |


### 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_lr00001_fold1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.3333333333333333, "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