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# hushem_40x_beit_large_rmsprop_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: 1.7015
- Accuracy: 0.8444

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.0002        | 1.0   | 429   | 0.1888          | 0.9111   |
| 0.0001        | 2.0   | 858   | 0.5086          | 0.8444   |
| 0.0213        | 3.0   | 1287  | 1.0554          | 0.8444   |
| 0.0001        | 4.0   | 1716  | 0.8515          | 0.8      |
| 0.0151        | 5.0   | 2145  | 1.0045          | 0.8222   |
| 0.0           | 6.0   | 2574  | 1.1084          | 0.8222   |
| 0.0338        | 7.0   | 3003  | 1.5811          | 0.8      |
| 0.0           | 8.0   | 3432  | 1.1102          | 0.8667   |
| 0.0298        | 9.0   | 3861  | 1.1076          | 0.8      |
| 0.0           | 10.0  | 4290  | 1.3549          | 0.7778   |
| 0.0           | 11.0  | 4719  | 0.9193          | 0.8889   |
| 0.0009        | 12.0  | 5148  | 2.1242          | 0.7333   |
| 0.0005        | 13.0  | 5577  | 1.9844          | 0.7778   |
| 0.0           | 14.0  | 6006  | 1.9003          | 0.8222   |
| 0.0           | 15.0  | 6435  | 1.9944          | 0.8      |
| 0.0615        | 16.0  | 6864  | 0.9515          | 0.8667   |
| 0.0           | 17.0  | 7293  | 1.2345          | 0.8222   |
| 0.0           | 18.0  | 7722  | 2.5325          | 0.7111   |
| 0.0           | 19.0  | 8151  | 1.8677          | 0.7556   |
| 0.0           | 20.0  | 8580  | 1.4706          | 0.8444   |
| 0.0           | 21.0  | 9009  | 0.8888          | 0.8889   |
| 0.0           | 22.0  | 9438  | 1.0811          | 0.8444   |
| 0.0           | 23.0  | 9867  | 1.5595          | 0.8      |
| 0.0           | 24.0  | 10296 | 0.6910          | 0.8667   |
| 0.0           | 25.0  | 10725 | 3.6469          | 0.6667   |
| 0.0           | 26.0  | 11154 | 1.9450          | 0.8222   |
| 0.0           | 27.0  | 11583 | 1.9393          | 0.8      |
| 0.0           | 28.0  | 12012 | 1.7463          | 0.8444   |
| 0.0           | 29.0  | 12441 | 2.0547          | 0.7778   |
| 0.0           | 30.0  | 12870 | 1.9307          | 0.7778   |
| 0.0           | 31.0  | 13299 | 1.6995          | 0.8444   |
| 0.0           | 32.0  | 13728 | 1.7069          | 0.8667   |
| 0.0           | 33.0  | 14157 | 1.8787          | 0.8444   |
| 0.0           | 34.0  | 14586 | 1.9305          | 0.8222   |
| 0.0           | 35.0  | 15015 | 1.8701          | 0.8444   |
| 0.0           | 36.0  | 15444 | 1.8022          | 0.8444   |
| 0.0           | 37.0  | 15873 | 1.6907          | 0.8667   |
| 0.0           | 38.0  | 16302 | 1.6978          | 0.8667   |
| 0.0           | 39.0  | 16731 | 2.4754          | 0.7333   |
| 0.0           | 40.0  | 17160 | 2.3927          | 0.7556   |
| 0.0           | 41.0  | 17589 | 1.6797          | 0.8      |
| 0.0           | 42.0  | 18018 | 1.6791          | 0.8      |
| 0.0           | 43.0  | 18447 | 1.7020          | 0.8      |
| 0.0           | 44.0  | 18876 | 1.7015          | 0.8      |
| 0.0           | 45.0  | 19305 | 1.7034          | 0.8222   |
| 0.0           | 46.0  | 19734 | 1.7094          | 0.8222   |
| 0.0           | 47.0  | 20163 | 1.7027          | 0.8222   |
| 0.0           | 48.0  | 20592 | 1.6793          | 0.8444   |
| 0.0           | 49.0  | 21021 | 1.6817          | 0.8444   |
| 0.0           | 50.0  | 21450 | 1.7015          | 0.8444   |


### 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_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": 0.8444444444444444, "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