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# hushem_40x_beit_base_rmsprop_lr00001_fold1

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: 1.1995
- Accuracy: 0.8889

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.018         | 1.0   | 215   | 0.6002          | 0.8222   |
| 0.0009        | 2.0   | 430   | 0.5373          | 0.8889   |
| 0.0004        | 3.0   | 645   | 0.7596          | 0.8667   |
| 0.0092        | 4.0   | 860   | 0.7848          | 0.8667   |
| 0.0438        | 5.0   | 1075  | 0.7439          | 0.8444   |
| 0.0           | 6.0   | 1290  | 1.0914          | 0.8222   |
| 0.0281        | 7.0   | 1505  | 1.1797          | 0.8444   |
| 0.0239        | 8.0   | 1720  | 2.1220          | 0.7333   |
| 0.0           | 9.0   | 1935  | 0.9369          | 0.9111   |
| 0.0           | 10.0  | 2150  | 1.0731          | 0.8444   |
| 0.0001        | 11.0  | 2365  | 0.8731          | 0.8889   |
| 0.0           | 12.0  | 2580  | 0.8600          | 0.9111   |
| 0.0           | 13.0  | 2795  | 1.5792          | 0.8222   |
| 0.0           | 14.0  | 3010  | 0.9473          | 0.8667   |
| 0.0195        | 15.0  | 3225  | 0.8623          | 0.8667   |
| 0.0           | 16.0  | 3440  | 1.2641          | 0.8444   |
| 0.0           | 17.0  | 3655  | 0.9609          | 0.8889   |
| 0.0001        | 18.0  | 3870  | 1.5061          | 0.8667   |
| 0.0           | 19.0  | 4085  | 1.1655          | 0.8222   |
| 0.0           | 20.0  | 4300  | 0.6215          | 0.8889   |
| 0.0           | 21.0  | 4515  | 0.8301          | 0.8889   |
| 0.0           | 22.0  | 4730  | 1.1681          | 0.8444   |
| 0.0           | 23.0  | 4945  | 1.0018          | 0.8667   |
| 0.0           | 24.0  | 5160  | 1.2268          | 0.8444   |
| 0.0           | 25.0  | 5375  | 0.9293          | 0.8667   |
| 0.0021        | 26.0  | 5590  | 1.1367          | 0.8222   |
| 0.0           | 27.0  | 5805  | 1.7638          | 0.8      |
| 0.0           | 28.0  | 6020  | 1.1023          | 0.8667   |
| 0.0           | 29.0  | 6235  | 1.1980          | 0.8444   |
| 0.0           | 30.0  | 6450  | 1.8262          | 0.8      |
| 0.0           | 31.0  | 6665  | 1.7451          | 0.8222   |
| 0.0           | 32.0  | 6880  | 1.2862          | 0.8444   |
| 0.0           | 33.0  | 7095  | 1.3081          | 0.8444   |
| 0.0           | 34.0  | 7310  | 1.2339          | 0.8444   |
| 0.0           | 35.0  | 7525  | 0.5077          | 0.8889   |
| 0.0           | 36.0  | 7740  | 0.7319          | 0.8889   |
| 0.0           | 37.0  | 7955  | 0.8305          | 0.8889   |
| 0.0           | 38.0  | 8170  | 0.8256          | 0.9111   |
| 0.0           | 39.0  | 8385  | 1.0172          | 0.8889   |
| 0.0           | 40.0  | 8600  | 1.2079          | 0.8444   |
| 0.0           | 41.0  | 8815  | 1.2386          | 0.8444   |
| 0.0           | 42.0  | 9030  | 1.2383          | 0.8667   |
| 0.0           | 43.0  | 9245  | 1.3410          | 0.8667   |
| 0.0           | 44.0  | 9460  | 1.2591          | 0.8667   |
| 0.0           | 45.0  | 9675  | 1.2155          | 0.8444   |
| 0.0           | 46.0  | 9890  | 1.1866          | 0.8667   |
| 0.0           | 47.0  | 10105 | 1.1974          | 0.8444   |
| 0.0           | 48.0  | 10320 | 1.2539          | 0.8444   |
| 0.0           | 49.0  | 10535 | 1.2213          | 0.8667   |
| 0.0           | 50.0  | 10750 | 1.1995          | 0.8889   |


### 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_fold1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.8888888888888888, "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