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# hushem_40x_beit_large_rmsprop_lr001_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: 12.7567
- Accuracy: 0.5778

## 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: 0.001
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.8739        | 1.0   | 429   | 1.3743          | 0.3778   |
| 0.6985        | 2.0   | 858   | 4.6847          | 0.4444   |
| 0.5872        | 3.0   | 1287  | 2.8233          | 0.3778   |
| 0.5377        | 4.0   | 1716  | 2.9042          | 0.5111   |
| 0.5898        | 5.0   | 2145  | 1.9074          | 0.4667   |
| 0.4302        | 6.0   | 2574  | 2.8173          | 0.5333   |
| 0.3716        | 7.0   | 3003  | 2.7483          | 0.5778   |
| 0.2527        | 8.0   | 3432  | 3.0783          | 0.5556   |
| 0.288         | 9.0   | 3861  | 2.8716          | 0.5778   |
| 0.2702        | 10.0  | 4290  | 2.8481          | 0.4667   |
| 0.2389        | 11.0  | 4719  | 2.6730          | 0.5111   |
| 0.1643        | 12.0  | 5148  | 3.0941          | 0.5778   |
| 0.2763        | 13.0  | 5577  | 3.5157          | 0.5333   |
| 0.2252        | 14.0  | 6006  | 4.2089          | 0.5778   |
| 0.1259        | 15.0  | 6435  | 3.6940          | 0.6      |
| 0.1858        | 16.0  | 6864  | 3.1975          | 0.5778   |
| 0.0967        | 17.0  | 7293  | 3.6629          | 0.6444   |
| 0.0481        | 18.0  | 7722  | 3.4011          | 0.6      |
| 0.108         | 19.0  | 8151  | 3.2962          | 0.6      |
| 0.0674        | 20.0  | 8580  | 4.6434          | 0.6      |
| 0.1659        | 21.0  | 9009  | 3.5189          | 0.6444   |
| 0.0836        | 22.0  | 9438  | 3.9406          | 0.6222   |
| 0.0337        | 23.0  | 9867  | 4.5588          | 0.6444   |
| 0.0329        | 24.0  | 10296 | 4.2141          | 0.6      |
| 0.0497        | 25.0  | 10725 | 3.7193          | 0.6222   |
| 0.02          | 26.0  | 11154 | 3.7852          | 0.5778   |
| 0.0676        | 27.0  | 11583 | 5.3910          | 0.5556   |
| 0.002         | 28.0  | 12012 | 5.8883          | 0.6      |
| 0.0032        | 29.0  | 12441 | 7.0907          | 0.6222   |
| 0.0077        | 30.0  | 12870 | 5.5346          | 0.6222   |
| 0.0006        | 31.0  | 13299 | 4.7408          | 0.6222   |
| 0.0001        | 32.0  | 13728 | 5.6011          | 0.6      |
| 0.0007        | 33.0  | 14157 | 6.7197          | 0.6      |
| 0.0021        | 34.0  | 14586 | 6.2696          | 0.5778   |
| 0.0286        | 35.0  | 15015 | 7.3442          | 0.5556   |
| 0.0183        | 36.0  | 15444 | 6.7260          | 0.6      |
| 0.0001        | 37.0  | 15873 | 8.5900          | 0.5556   |
| 0.0001        | 38.0  | 16302 | 9.4534          | 0.6222   |
| 0.0           | 39.0  | 16731 | 9.0287          | 0.6      |
| 0.0001        | 40.0  | 17160 | 8.8675          | 0.6      |
| 0.0538        | 41.0  | 17589 | 7.4562          | 0.6222   |
| 0.0           | 42.0  | 18018 | 7.4172          | 0.6667   |
| 0.0           | 43.0  | 18447 | 7.9531          | 0.6222   |
| 0.0           | 44.0  | 18876 | 10.5000         | 0.5778   |
| 0.0           | 45.0  | 19305 | 11.5495         | 0.5556   |
| 0.0           | 46.0  | 19734 | 13.2295         | 0.6      |
| 0.0           | 47.0  | 20163 | 13.3640         | 0.6      |
| 0.0           | 48.0  | 20592 | 12.2674         | 0.5556   |
| 0.0           | 49.0  | 21021 | 12.6769         | 0.5556   |
| 0.0           | 50.0  | 21450 | 12.7567         | 0.5778   |


### 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_lr001_fold2", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.5777777777777777, "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