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# HUSHEM_1x_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: 1.2645
- Accuracy: 0.3778

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 6.2943        | 1.0   | 11   | 2.6439          | 0.2444   |
| 1.7634        | 2.0   | 22   | 1.4097          | 0.2444   |
| 1.4138        | 3.0   | 33   | 1.3902          | 0.2444   |
| 1.3882        | 4.0   | 44   | 1.3830          | 0.2444   |
| 1.4132        | 5.0   | 55   | 1.3880          | 0.2444   |
| 1.4097        | 6.0   | 66   | 1.4352          | 0.2444   |
| 1.3974        | 7.0   | 77   | 1.3559          | 0.2444   |
| 1.3702        | 8.0   | 88   | 1.4055          | 0.3333   |
| 1.3609        | 9.0   | 99   | 1.3680          | 0.2889   |
| 1.3298        | 10.0  | 110  | 1.1845          | 0.4889   |
| 1.354         | 11.0  | 121  | 1.2626          | 0.3556   |
| 1.2742        | 12.0  | 132  | 1.1906          | 0.4889   |
| 1.2467        | 13.0  | 143  | 1.2672          | 0.4222   |
| 1.2772        | 14.0  | 154  | 1.4531          | 0.2667   |
| 1.3053        | 15.0  | 165  | 1.2938          | 0.3333   |
| 1.2407        | 16.0  | 176  | 1.2076          | 0.4667   |
| 1.2841        | 17.0  | 187  | 1.0836          | 0.4889   |
| 1.1576        | 18.0  | 198  | 1.5473          | 0.2889   |
| 1.1983        | 19.0  | 209  | 1.3477          | 0.3778   |
| 1.1836        | 20.0  | 220  | 1.2026          | 0.4      |
| 1.2536        | 21.0  | 231  | 1.2045          | 0.3778   |
| 1.1675        | 22.0  | 242  | 1.1964          | 0.4      |
| 1.1723        | 23.0  | 253  | 1.2792          | 0.4      |
| 1.1876        | 24.0  | 264  | 1.2511          | 0.4      |
| 1.1658        | 25.0  | 275  | 1.1618          | 0.4444   |
| 1.1133        | 26.0  | 286  | 1.2087          | 0.4      |
| 1.2289        | 27.0  | 297  | 1.2720          | 0.3111   |
| 1.046         | 28.0  | 308  | 1.3552          | 0.3333   |
| 1.1347        | 29.0  | 319  | 1.1630          | 0.3778   |
| 1.1441        | 30.0  | 330  | 1.2637          | 0.3111   |
| 1.0994        | 31.0  | 341  | 1.2036          | 0.3778   |
| 1.1656        | 32.0  | 352  | 1.2449          | 0.3333   |
| 1.0679        | 33.0  | 363  | 1.2175          | 0.3556   |
| 1.0732        | 34.0  | 374  | 1.2059          | 0.4      |
| 1.0502        | 35.0  | 385  | 1.2450          | 0.3556   |
| 1.0563        | 36.0  | 396  | 1.3060          | 0.3333   |
| 1.0414        | 37.0  | 407  | 1.4402          | 0.3778   |
| 0.9382        | 38.0  | 418  | 1.3400          | 0.4      |
| 1.0474        | 39.0  | 429  | 1.2865          | 0.3556   |
| 1.0001        | 40.0  | 440  | 1.3360          | 0.4444   |
| 0.969         | 41.0  | 451  | 1.3441          | 0.4      |
| 0.9481        | 42.0  | 462  | 1.2977          | 0.4      |
| 0.9071        | 43.0  | 473  | 1.2810          | 0.4      |
| 0.946         | 44.0  | 484  | 1.2815          | 0.4      |
| 0.8917        | 45.0  | 495  | 1.2544          | 0.3778   |
| 0.9253        | 46.0  | 506  | 1.2645          | 0.3778   |
| 0.8609        | 47.0  | 517  | 1.2645          | 0.3778   |
| 0.9003        | 48.0  | 528  | 1.2645          | 0.3778   |
| 0.9567        | 49.0  | 539  | 1.2645          | 0.3778   |
| 0.8764        | 50.0  | 550  | 1.2645          | 0.3778   |


### 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_1x_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": 0.37777777777777777, "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