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# HUSHEM_10x_beit_large_Adamax_lr001_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: 6.6098
- Accuracy: 0.4444

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2074        | 1.0   | 107  | 2.2986          | 0.2222   |
| 0.949         | 2.0   | 214  | 1.6371          | 0.4      |
| 0.8341        | 3.0   | 321  | 1.6784          | 0.3778   |
| 0.7458        | 4.0   | 428  | 1.9287          | 0.3556   |
| 0.7365        | 5.0   | 535  | 1.9011          | 0.3778   |
| 0.5281        | 6.0   | 642  | 1.7940          | 0.3556   |
| 0.656         | 7.0   | 749  | 1.8288          | 0.3556   |
| 0.6428        | 8.0   | 856  | 1.7921          | 0.3556   |
| 0.8387        | 9.0   | 963  | 1.4949          | 0.3556   |
| 0.5933        | 10.0  | 1070 | 1.6422          | 0.3778   |
| 0.6595        | 11.0  | 1177 | 1.9510          | 0.3556   |
| 0.534         | 12.0  | 1284 | 1.7220          | 0.3556   |
| 0.5165        | 13.0  | 1391 | 1.7580          | 0.3778   |
| 0.493         | 14.0  | 1498 | 1.3486          | 0.4222   |
| 0.5324        | 15.0  | 1605 | 2.1900          | 0.3556   |
| 0.5208        | 16.0  | 1712 | 1.8469          | 0.4444   |
| 0.464         | 17.0  | 1819 | 2.1860          | 0.4222   |
| 0.374         | 18.0  | 1926 | 1.7189          | 0.4444   |
| 0.2772        | 19.0  | 2033 | 2.0961          | 0.4667   |
| 0.3385        | 20.0  | 2140 | 2.5261          | 0.4222   |
| 0.3075        | 21.0  | 2247 | 1.9157          | 0.4222   |
| 0.3015        | 22.0  | 2354 | 2.4454          | 0.4222   |
| 0.2595        | 23.0  | 2461 | 2.4891          | 0.4667   |
| 0.2566        | 24.0  | 2568 | 3.0274          | 0.4444   |
| 0.2444        | 25.0  | 2675 | 3.4408          | 0.4222   |
| 0.1842        | 26.0  | 2782 | 3.1714          | 0.4      |
| 0.2172        | 27.0  | 2889 | 3.1575          | 0.4667   |
| 0.1617        | 28.0  | 2996 | 4.0479          | 0.3778   |
| 0.1464        | 29.0  | 3103 | 5.0352          | 0.3778   |
| 0.1504        | 30.0  | 3210 | 5.1196          | 0.4444   |
| 0.0792        | 31.0  | 3317 | 5.2169          | 0.4      |
| 0.0459        | 32.0  | 3424 | 5.9423          | 0.4222   |
| 0.099         | 33.0  | 3531 | 6.1739          | 0.4222   |
| 0.1483        | 34.0  | 3638 | 5.5988          | 0.4      |
| 0.171         | 35.0  | 3745 | 6.0528          | 0.4      |
| 0.0097        | 36.0  | 3852 | 5.7914          | 0.4222   |
| 0.0015        | 37.0  | 3959 | 5.3240          | 0.5111   |
| 0.0003        | 38.0  | 4066 | 6.7832          | 0.4444   |
| 0.0438        | 39.0  | 4173 | 7.4287          | 0.4444   |
| 0.0019        | 40.0  | 4280 | 6.5699          | 0.4444   |
| 0.0006        | 41.0  | 4387 | 6.8088          | 0.4667   |
| 0.0007        | 42.0  | 4494 | 6.4023          | 0.4667   |
| 0.0002        | 43.0  | 4601 | 6.7633          | 0.4444   |
| 0.0002        | 44.0  | 4708 | 6.8114          | 0.4444   |
| 0.0011        | 45.0  | 4815 | 6.6784          | 0.4444   |
| 0.0103        | 46.0  | 4922 | 6.7448          | 0.4444   |
| 0.0257        | 47.0  | 5029 | 6.2696          | 0.4444   |
| 0.0001        | 48.0  | 5136 | 6.6031          | 0.4444   |
| 0.0109        | 49.0  | 5243 | 6.5771          | 0.4444   |
| 0.0079        | 50.0  | 5350 | 6.6098          | 0.4444   |


### 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_10x_beit_large_Adamax_lr001_fold1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.4444444444444444, "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