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# HUSHEM_5x_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: 8.6150
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4816        | 1.0   | 54   | 1.4006          | 0.2444   |
| 1.4304        | 2.0   | 108  | 1.3924          | 0.2444   |
| 1.3012        | 3.0   | 162  | 1.4103          | 0.1556   |
| 1.1715        | 4.0   | 216  | 1.7251          | 0.2667   |
| 1.1314        | 5.0   | 270  | 1.4057          | 0.2889   |
| 1.1225        | 6.0   | 324  | 1.4049          | 0.2889   |
| 1.2331        | 7.0   | 378  | 1.5636          | 0.2      |
| 1.2026        | 8.0   | 432  | 1.4090          | 0.2444   |
| 1.0991        | 9.0   | 486  | 1.4732          | 0.2889   |
| 1.132         | 10.0  | 540  | 1.6545          | 0.3333   |
| 1.1358        | 11.0  | 594  | 1.4598          | 0.3333   |
| 1.0735        | 12.0  | 648  | 2.5074          | 0.1778   |
| 1.0263        | 13.0  | 702  | 1.4558          | 0.1778   |
| 1.0941        | 14.0  | 756  | 1.5312          | 0.2667   |
| 1.0558        | 15.0  | 810  | 1.5426          | 0.5111   |
| 0.8792        | 16.0  | 864  | 1.5450          | 0.3556   |
| 0.9397        | 17.0  | 918  | 1.2056          | 0.4222   |
| 0.8566        | 18.0  | 972  | 1.2654          | 0.5333   |
| 0.7673        | 19.0  | 1026 | 1.4346          | 0.2667   |
| 0.7245        | 20.0  | 1080 | 1.7758          | 0.4444   |
| 0.7011        | 21.0  | 1134 | 1.9825          | 0.3778   |
| 0.616         | 22.0  | 1188 | 1.5043          | 0.5111   |
| 0.7062        | 23.0  | 1242 | 1.9400          | 0.4667   |
| 0.6293        | 24.0  | 1296 | 1.6680          | 0.4222   |
| 0.6796        | 25.0  | 1350 | 1.9573          | 0.3778   |
| 0.677         | 26.0  | 1404 | 2.2819          | 0.5333   |
| 0.4455        | 27.0  | 1458 | 2.2741          | 0.5333   |
| 0.5214        | 28.0  | 1512 | 2.5302          | 0.4667   |
| 0.4496        | 29.0  | 1566 | 2.6875          | 0.4667   |
| 0.4231        | 30.0  | 1620 | 2.8471          | 0.4444   |
| 0.4678        | 31.0  | 1674 | 3.0403          | 0.4889   |
| 0.4234        | 32.0  | 1728 | 2.8927          | 0.4444   |
| 0.3704        | 33.0  | 1782 | 3.5202          | 0.4667   |
| 0.3616        | 34.0  | 1836 | 2.6626          | 0.4667   |
| 0.2664        | 35.0  | 1890 | 3.6258          | 0.4889   |
| 0.3459        | 36.0  | 1944 | 4.5666          | 0.4222   |
| 0.3007        | 37.0  | 1998 | 4.1614          | 0.4444   |
| 0.1902        | 38.0  | 2052 | 4.2260          | 0.4667   |
| 0.111         | 39.0  | 2106 | 5.1141          | 0.4667   |
| 0.1791        | 40.0  | 2160 | 4.8026          | 0.5333   |
| 0.2708        | 41.0  | 2214 | 5.1643          | 0.4889   |
| 0.0459        | 42.0  | 2268 | 5.9865          | 0.5111   |
| 0.054         | 43.0  | 2322 | 6.8145          | 0.4444   |
| 0.0763        | 44.0  | 2376 | 7.5474          | 0.4444   |
| 0.0802        | 45.0  | 2430 | 7.8864          | 0.4667   |
| 0.032         | 46.0  | 2484 | 8.0151          | 0.4444   |
| 0.004         | 47.0  | 2538 | 8.8130          | 0.4222   |
| 0.0004        | 48.0  | 2592 | 8.5246          | 0.4444   |
| 0.012         | 49.0  | 2646 | 8.6140          | 0.4444   |
| 0.0102        | 50.0  | 2700 | 8.6150          | 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_5x_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": 0.4444444444444444, "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