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# HUSHEM_10x_beit_large_SGD_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: 1.5317
- Accuracy: 0.2

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6188        | 1.0   | 107  | 1.5581          | 0.2222   |
| 1.6095        | 2.0   | 214  | 1.5567          | 0.2222   |
| 1.5674        | 3.0   | 321  | 1.5554          | 0.2222   |
| 1.5251        | 4.0   | 428  | 1.5541          | 0.2222   |
| 1.5839        | 5.0   | 535  | 1.5529          | 0.2222   |
| 1.5963        | 6.0   | 642  | 1.5517          | 0.2222   |
| 1.5828        | 7.0   | 749  | 1.5506          | 0.2444   |
| 1.591         | 8.0   | 856  | 1.5495          | 0.2444   |
| 1.6179        | 9.0   | 963  | 1.5485          | 0.2444   |
| 1.5812        | 10.0  | 1070 | 1.5476          | 0.2444   |
| 1.4879        | 11.0  | 1177 | 1.5466          | 0.2444   |
| 1.5957        | 12.0  | 1284 | 1.5457          | 0.2667   |
| 1.4719        | 13.0  | 1391 | 1.5449          | 0.2889   |
| 1.5863        | 14.0  | 1498 | 1.5440          | 0.2889   |
| 1.6132        | 15.0  | 1605 | 1.5433          | 0.2889   |
| 1.6089        | 16.0  | 1712 | 1.5425          | 0.2889   |
| 1.4759        | 17.0  | 1819 | 1.5418          | 0.2889   |
| 1.5325        | 18.0  | 1926 | 1.5411          | 0.2667   |
| 1.5465        | 19.0  | 2033 | 1.5404          | 0.2667   |
| 1.4952        | 20.0  | 2140 | 1.5398          | 0.2444   |
| 1.4973        | 21.0  | 2247 | 1.5392          | 0.2444   |
| 1.5799        | 22.0  | 2354 | 1.5387          | 0.2444   |
| 1.6078        | 23.0  | 2461 | 1.5381          | 0.2444   |
| 1.4525        | 24.0  | 2568 | 1.5376          | 0.2444   |
| 1.5061        | 25.0  | 2675 | 1.5371          | 0.2444   |
| 1.5309        | 26.0  | 2782 | 1.5366          | 0.2444   |
| 1.5478        | 27.0  | 2889 | 1.5362          | 0.2222   |
| 1.5574        | 28.0  | 2996 | 1.5357          | 0.2222   |
| 1.4859        | 29.0  | 3103 | 1.5353          | 0.2222   |
| 1.4809        | 30.0  | 3210 | 1.5350          | 0.2      |
| 1.5135        | 31.0  | 3317 | 1.5346          | 0.2      |
| 1.4833        | 32.0  | 3424 | 1.5343          | 0.2      |
| 1.4574        | 33.0  | 3531 | 1.5340          | 0.2      |
| 1.4872        | 34.0  | 3638 | 1.5337          | 0.2      |
| 1.4751        | 35.0  | 3745 | 1.5334          | 0.2      |
| 1.4865        | 36.0  | 3852 | 1.5332          | 0.2      |
| 1.4856        | 37.0  | 3959 | 1.5329          | 0.2      |
| 1.5097        | 38.0  | 4066 | 1.5328          | 0.2      |
| 1.556         | 39.0  | 4173 | 1.5326          | 0.2      |
| 1.5018        | 40.0  | 4280 | 1.5324          | 0.2      |
| 1.486         | 41.0  | 4387 | 1.5323          | 0.2      |
| 1.4901        | 42.0  | 4494 | 1.5322          | 0.2      |
| 1.5519        | 43.0  | 4601 | 1.5321          | 0.2      |
| 1.503         | 44.0  | 4708 | 1.5320          | 0.2      |
| 1.5482        | 45.0  | 4815 | 1.5319          | 0.2      |
| 1.4728        | 46.0  | 4922 | 1.5318          | 0.2      |
| 1.5113        | 47.0  | 5029 | 1.5318          | 0.2      |
| 1.5285        | 48.0  | 5136 | 1.5318          | 0.2      |
| 1.5359        | 49.0  | 5243 | 1.5317          | 0.2      |
| 1.5043        | 50.0  | 5350 | 1.5317          | 0.2      |


### 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_SGD_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": 0.2, "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