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# hushem_40x_beit_large_rmsprop_lr00001_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: 2.2612
- Accuracy: 0.7778

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.0038        | 1.0   | 429   | 0.8636          | 0.8444   |
| 0.0001        | 2.0   | 858   | 2.2156          | 0.6889   |
| 0.0128        | 3.0   | 1287  | 1.6473          | 0.7111   |
| 0.0           | 4.0   | 1716  | 1.5806          | 0.8      |
| 0.0           | 5.0   | 2145  | 1.0769          | 0.8667   |
| 0.0           | 6.0   | 2574  | 3.4379          | 0.6444   |
| 0.0           | 7.0   | 3003  | 1.1043          | 0.8      |
| 0.0           | 8.0   | 3432  | 1.5662          | 0.8222   |
| 0.0           | 9.0   | 3861  | 1.5231          | 0.8444   |
| 0.0           | 10.0  | 4290  | 2.5632          | 0.8      |
| 0.0           | 11.0  | 4719  | 1.3916          | 0.8222   |
| 0.0           | 12.0  | 5148  | 1.9974          | 0.8222   |
| 0.0           | 13.0  | 5577  | 2.0159          | 0.8222   |
| 0.0           | 14.0  | 6006  | 1.6564          | 0.8      |
| 0.0           | 15.0  | 6435  | 1.7339          | 0.8222   |
| 0.0           | 16.0  | 6864  | 1.7099          | 0.8222   |
| 0.0           | 17.0  | 7293  | 1.7751          | 0.8      |
| 0.0           | 18.0  | 7722  | 1.6976          | 0.8222   |
| 0.0           | 19.0  | 8151  | 3.0089          | 0.7556   |
| 0.0           | 20.0  | 8580  | 2.3453          | 0.8      |
| 0.0           | 21.0  | 9009  | 2.3747          | 0.8      |
| 0.0           | 22.0  | 9438  | 2.4215          | 0.7778   |
| 0.0           | 23.0  | 9867  | 2.3164          | 0.8222   |
| 0.0           | 24.0  | 10296 | 2.3709          | 0.7778   |
| 0.0           | 25.0  | 10725 | 2.1858          | 0.8      |
| 0.0           | 26.0  | 11154 | 2.2764          | 0.8      |
| 0.0           | 27.0  | 11583 | 2.3060          | 0.8      |
| 0.0           | 28.0  | 12012 | 2.3075          | 0.8      |
| 0.0           | 29.0  | 12441 | 2.3434          | 0.8      |
| 0.0           | 30.0  | 12870 | 2.5079          | 0.8      |
| 0.0           | 31.0  | 13299 | 2.5798          | 0.8      |
| 0.0           | 32.0  | 13728 | 1.9809          | 0.8444   |
| 0.0           | 33.0  | 14157 | 1.9218          | 0.8444   |
| 0.0           | 34.0  | 14586 | 2.0109          | 0.7556   |
| 0.0           | 35.0  | 15015 | 2.0693          | 0.7556   |
| 0.0           | 36.0  | 15444 | 2.1423          | 0.7778   |
| 0.0           | 37.0  | 15873 | 2.1577          | 0.8      |
| 0.0           | 38.0  | 16302 | 2.1723          | 0.8      |
| 0.0           | 39.0  | 16731 | 2.1759          | 0.8      |
| 0.0           | 40.0  | 17160 | 2.1773          | 0.8      |
| 0.0           | 41.0  | 17589 | 2.1681          | 0.8      |
| 0.0           | 42.0  | 18018 | 2.1666          | 0.7778   |
| 0.0           | 43.0  | 18447 | 2.1701          | 0.7778   |
| 0.0           | 44.0  | 18876 | 2.1772          | 0.7778   |
| 0.0           | 45.0  | 19305 | 2.1806          | 0.7778   |
| 0.0           | 46.0  | 19734 | 2.2263          | 0.7778   |
| 0.0           | 47.0  | 20163 | 2.2649          | 0.7778   |
| 0.0           | 48.0  | 20592 | 2.2616          | 0.7778   |
| 0.0           | 49.0  | 21021 | 2.2605          | 0.7778   |
| 0.0           | 50.0  | 21450 | 2.2612          | 0.7778   |


### 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_fold2", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.7777777777777778, "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