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# HUSHEM_10x_beit_large_Adamax_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: 7.7964
- Accuracy: 0.5111

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2493        | 1.0   | 107  | 2.1623          | 0.2889   |
| 0.9791        | 2.0   | 214  | 1.2308          | 0.4889   |
| 0.9058        | 3.0   | 321  | 1.8679          | 0.4222   |
| 0.8128        | 4.0   | 428  | 1.5921          | 0.5333   |
| 0.8547        | 5.0   | 535  | 1.4628          | 0.3333   |
| 0.7453        | 6.0   | 642  | 1.4226          | 0.4667   |
| 0.7604        | 7.0   | 749  | 1.6349          | 0.5111   |
| 0.7002        | 8.0   | 856  | 1.9256          | 0.5111   |
| 0.7768        | 9.0   | 963  | 2.0328          | 0.5111   |
| 0.739         | 10.0  | 1070 | 2.4170          | 0.3778   |
| 0.5698        | 11.0  | 1177 | 3.2233          | 0.5333   |
| 0.5581        | 12.0  | 1284 | 2.4155          | 0.4444   |
| 0.54          | 13.0  | 1391 | 2.5092          | 0.5778   |
| 0.4411        | 14.0  | 1498 | 2.7613          | 0.5333   |
| 0.5653        | 15.0  | 1605 | 3.0041          | 0.4667   |
| 0.5162        | 16.0  | 1712 | 3.5245          | 0.5556   |
| 0.4055        | 17.0  | 1819 | 2.9137          | 0.5556   |
| 0.3721        | 18.0  | 1926 | 2.4645          | 0.5333   |
| 0.4412        | 19.0  | 2033 | 3.4567          | 0.5333   |
| 0.5098        | 20.0  | 2140 | 2.8867          | 0.4889   |
| 0.3323        | 21.0  | 2247 | 3.0629          | 0.5111   |
| 0.2727        | 22.0  | 2354 | 3.3778          | 0.5111   |
| 0.2551        | 23.0  | 2461 | 4.2326          | 0.4889   |
| 0.1704        | 24.0  | 2568 | 4.2062          | 0.5111   |
| 0.233         | 25.0  | 2675 | 4.4296          | 0.5111   |
| 0.2469        | 26.0  | 2782 | 4.8493          | 0.5111   |
| 0.1737        | 27.0  | 2889 | 4.8960          | 0.5333   |
| 0.1654        | 28.0  | 2996 | 3.8757          | 0.4889   |
| 0.1071        | 29.0  | 3103 | 4.7495          | 0.5111   |
| 0.0896        | 30.0  | 3210 | 6.1586          | 0.5333   |
| 0.083         | 31.0  | 3317 | 6.5306          | 0.5556   |
| 0.1459        | 32.0  | 3424 | 6.3130          | 0.5111   |
| 0.0128        | 33.0  | 3531 | 6.4423          | 0.5556   |
| 0.0909        | 34.0  | 3638 | 7.4461          | 0.5333   |
| 0.2171        | 35.0  | 3745 | 8.4623          | 0.5556   |
| 0.0912        | 36.0  | 3852 | 6.6794          | 0.5111   |
| 0.0046        | 37.0  | 3959 | 7.1207          | 0.5333   |
| 0.0032        | 38.0  | 4066 | 7.7396          | 0.5111   |
| 0.0386        | 39.0  | 4173 | 8.3446          | 0.5111   |
| 0.0279        | 40.0  | 4280 | 7.5325          | 0.5111   |
| 0.0261        | 41.0  | 4387 | 7.5600          | 0.5333   |
| 0.0003        | 42.0  | 4494 | 7.5150          | 0.5111   |
| 0.0019        | 43.0  | 4601 | 7.7039          | 0.5778   |
| 0.0701        | 44.0  | 4708 | 7.8827          | 0.5333   |
| 0.0002        | 45.0  | 4815 | 8.0176          | 0.5111   |
| 0.0175        | 46.0  | 4922 | 8.0388          | 0.5333   |
| 0.0           | 47.0  | 5029 | 7.6077          | 0.5333   |
| 0.0006        | 48.0  | 5136 | 7.7082          | 0.5111   |
| 0.0513        | 49.0  | 5243 | 7.7836          | 0.5111   |
| 0.0           | 50.0  | 5350 | 7.7964          | 0.5111   |


### 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_fold2", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.5111111111111111, "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