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# HUSHEM_10x_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: 9.5089
- Accuracy: 0.4667

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4087        | 1.0   | 107  | 1.4580          | 0.2444   |
| 1.404         | 2.0   | 214  | 1.3878          | 0.2444   |
| 1.3901        | 3.0   | 321  | 1.3947          | 0.2444   |
| 1.3703        | 4.0   | 428  | 1.4094          | 0.3111   |
| 1.2293        | 5.0   | 535  | 1.4245          | 0.2889   |
| 1.1945        | 6.0   | 642  | 1.5506          | 0.2889   |
| 1.2187        | 7.0   | 749  | 1.5342          | 0.2889   |
| 1.1191        | 8.0   | 856  | 1.4403          | 0.3333   |
| 1.1137        | 9.0   | 963  | 1.4645          | 0.2889   |
| 1.1966        | 10.0  | 1070 | 1.4594          | 0.3556   |
| 1.1383        | 11.0  | 1177 | 1.3189          | 0.3778   |
| 0.979         | 12.0  | 1284 | 1.2776          | 0.4222   |
| 0.9444        | 13.0  | 1391 | 1.3570          | 0.2222   |
| 0.8128        | 14.0  | 1498 | 1.4926          | 0.2222   |
| 0.851         | 15.0  | 1605 | 1.5140          | 0.2889   |
| 0.6882        | 16.0  | 1712 | 1.6761          | 0.2889   |
| 0.6824        | 17.0  | 1819 | 1.6715          | 0.3111   |
| 0.7086        | 18.0  | 1926 | 2.0540          | 0.3111   |
| 0.7103        | 19.0  | 2033 | 1.4929          | 0.3778   |
| 0.5674        | 20.0  | 2140 | 2.1056          | 0.4889   |
| 0.6108        | 21.0  | 2247 | 2.1748          | 0.5111   |
| 0.696         | 22.0  | 2354 | 2.5982          | 0.3333   |
| 0.5719        | 23.0  | 2461 | 2.4631          | 0.4889   |
| 0.5213        | 24.0  | 2568 | 2.0829          | 0.4      |
| 0.6269        | 25.0  | 2675 | 2.2534          | 0.4      |
| 0.6415        | 26.0  | 2782 | 2.9150          | 0.4667   |
| 0.556         | 27.0  | 2889 | 2.4442          | 0.5111   |
| 0.4815        | 28.0  | 2996 | 2.7687          | 0.4667   |
| 0.5473        | 29.0  | 3103 | 2.4122          | 0.4      |
| 0.4547        | 30.0  | 3210 | 3.0784          | 0.4667   |
| 0.4935        | 31.0  | 3317 | 2.6187          | 0.5333   |
| 0.4846        | 32.0  | 3424 | 3.3882          | 0.4667   |
| 0.5023        | 33.0  | 3531 | 3.4218          | 0.4444   |
| 0.3774        | 34.0  | 3638 | 3.4814          | 0.4667   |
| 0.4137        | 35.0  | 3745 | 3.6412          | 0.5111   |
| 0.3804        | 36.0  | 3852 | 4.0096          | 0.4667   |
| 0.3592        | 37.0  | 3959 | 3.9007          | 0.4889   |
| 0.3162        | 38.0  | 4066 | 4.3774          | 0.4889   |
| 0.4005        | 39.0  | 4173 | 5.4784          | 0.4667   |
| 0.2954        | 40.0  | 4280 | 5.6540          | 0.4444   |
| 0.3192        | 41.0  | 4387 | 6.0755          | 0.4667   |
| 0.3594        | 42.0  | 4494 | 6.2739          | 0.4444   |
| 0.2936        | 43.0  | 4601 | 6.2428          | 0.4889   |
| 0.2852        | 44.0  | 4708 | 7.7004          | 0.4      |
| 0.1502        | 45.0  | 4815 | 7.0307          | 0.4444   |
| 0.1854        | 46.0  | 4922 | 8.2057          | 0.4222   |
| 0.0698        | 47.0  | 5029 | 8.9622          | 0.4222   |
| 0.1731        | 48.0  | 5136 | 9.2692          | 0.4222   |
| 0.0638        | 49.0  | 5243 | 9.5605          | 0.4444   |
| 0.0514        | 50.0  | 5350 | 9.5089          | 0.4667   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/beit-large-patch16-224", "model-index": [{"name": "HUSHEM_10x_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": 0.4666666666666667, "name": "Accuracy"}]}]}]}
transformers pytorch 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