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# HUSHEM_10x_beit_large_SGD_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: 0.7618
- Accuracy: 0.7333

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3025        | 1.0   | 107  | 1.5268          | 0.2      |
| 1.1939        | 2.0   | 214  | 1.4256          | 0.2667   |
| 1.0591        | 3.0   | 321  | 1.3544          | 0.3333   |
| 0.8628        | 4.0   | 428  | 1.2850          | 0.4      |
| 0.8167        | 5.0   | 535  | 1.2223          | 0.4667   |
| 0.7396        | 6.0   | 642  | 1.1663          | 0.5111   |
| 0.659         | 7.0   | 749  | 1.1187          | 0.5333   |
| 0.5829        | 8.0   | 856  | 1.0790          | 0.6222   |
| 0.5522        | 9.0   | 963  | 1.0406          | 0.6222   |
| 0.5497        | 10.0  | 1070 | 1.0199          | 0.6222   |
| 0.5835        | 11.0  | 1177 | 0.9840          | 0.6222   |
| 0.4745        | 12.0  | 1284 | 0.9562          | 0.6222   |
| 0.4281        | 13.0  | 1391 | 0.9443          | 0.6      |
| 0.4025        | 14.0  | 1498 | 0.9243          | 0.6      |
| 0.3601        | 15.0  | 1605 | 0.9084          | 0.6      |
| 0.3203        | 16.0  | 1712 | 0.8971          | 0.6      |
| 0.3031        | 17.0  | 1819 | 0.8869          | 0.6      |
| 0.3043        | 18.0  | 1926 | 0.8698          | 0.6      |
| 0.266         | 19.0  | 2033 | 0.8642          | 0.6      |
| 0.2479        | 20.0  | 2140 | 0.8571          | 0.6      |
| 0.2333        | 21.0  | 2247 | 0.8450          | 0.6222   |
| 0.2459        | 22.0  | 2354 | 0.8353          | 0.6222   |
| 0.2237        | 23.0  | 2461 | 0.8313          | 0.6222   |
| 0.2           | 24.0  | 2568 | 0.8206          | 0.6667   |
| 0.2399        | 25.0  | 2675 | 0.8135          | 0.6667   |
| 0.2052        | 26.0  | 2782 | 0.8086          | 0.6444   |
| 0.1893        | 27.0  | 2889 | 0.8058          | 0.6444   |
| 0.1677        | 28.0  | 2996 | 0.7957          | 0.6889   |
| 0.208         | 29.0  | 3103 | 0.7963          | 0.7111   |
| 0.1655        | 30.0  | 3210 | 0.7952          | 0.6667   |
| 0.1698        | 31.0  | 3317 | 0.7897          | 0.7111   |
| 0.1746        | 32.0  | 3424 | 0.7867          | 0.7111   |
| 0.1786        | 33.0  | 3531 | 0.7849          | 0.6889   |
| 0.1817        | 34.0  | 3638 | 0.7799          | 0.6889   |
| 0.1759        | 35.0  | 3745 | 0.7819          | 0.6889   |
| 0.1701        | 36.0  | 3852 | 0.7801          | 0.6889   |
| 0.1168        | 37.0  | 3959 | 0.7761          | 0.7333   |
| 0.1449        | 38.0  | 4066 | 0.7734          | 0.7333   |
| 0.1547        | 39.0  | 4173 | 0.7724          | 0.7333   |
| 0.1294        | 40.0  | 4280 | 0.7711          | 0.7111   |
| 0.132         | 41.0  | 4387 | 0.7688          | 0.7333   |
| 0.1459        | 42.0  | 4494 | 0.7678          | 0.7333   |
| 0.1424        | 43.0  | 4601 | 0.7659          | 0.7333   |
| 0.1324        | 44.0  | 4708 | 0.7637          | 0.7333   |
| 0.1421        | 45.0  | 4815 | 0.7644          | 0.7333   |
| 0.1254        | 46.0  | 4922 | 0.7620          | 0.7333   |
| 0.122         | 47.0  | 5029 | 0.7620          | 0.7333   |
| 0.1396        | 48.0  | 5136 | 0.7620          | 0.7333   |
| 0.1304        | 49.0  | 5243 | 0.7619          | 0.7333   |
| 0.126         | 50.0  | 5350 | 0.7618          | 0.7333   |


### 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_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": 0.7333333333333333, "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