
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# HUSHEM_5x_beit_large_Adamax_lr001_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: 4.2475
- Accuracy: 0.4667

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4512        | 1.0   | 54   | 1.4976          | 0.2      |
| 1.2428        | 2.0   | 108  | 1.7379          | 0.2444   |
| 1.0109        | 3.0   | 162  | 1.4735          | 0.4      |
| 0.785         | 4.0   | 216  | 1.4278          | 0.4      |
| 0.737         | 5.0   | 270  | 1.6598          | 0.3556   |
| 0.8123        | 6.0   | 324  | 1.3361          | 0.4      |
| 0.7854        | 7.0   | 378  | 1.6302          | 0.4      |
| 0.8275        | 8.0   | 432  | 1.6804          | 0.3556   |
| 0.6402        | 9.0   | 486  | 2.2192          | 0.3778   |
| 0.6833        | 10.0  | 540  | 1.5145          | 0.4222   |
| 0.8243        | 11.0  | 594  | 1.5576          | 0.3778   |
| 0.701         | 12.0  | 648  | 1.7912          | 0.3556   |
| 0.7312        | 13.0  | 702  | 1.5340          | 0.4      |
| 0.6854        | 14.0  | 756  | 1.5914          | 0.3556   |
| 0.7173        | 15.0  | 810  | 2.1124          | 0.3556   |
| 0.566         | 16.0  | 864  | 1.8575          | 0.3778   |
| 0.7307        | 17.0  | 918  | 1.8658          | 0.3556   |
| 0.5841        | 18.0  | 972  | 1.5714          | 0.3778   |
| 0.5035        | 19.0  | 1026 | 1.8292          | 0.3778   |
| 0.6426        | 20.0  | 1080 | 1.4751          | 0.4222   |
| 0.4416        | 21.0  | 1134 | 1.5910          | 0.3778   |
| 0.4827        | 22.0  | 1188 | 1.9108          | 0.3556   |
| 0.5685        | 23.0  | 1242 | 1.7535          | 0.3778   |
| 0.439         | 24.0  | 1296 | 2.0849          | 0.3556   |
| 0.4452        | 25.0  | 1350 | 1.8245          | 0.3778   |
| 0.409         | 26.0  | 1404 | 1.8220          | 0.3778   |
| 0.5469        | 27.0  | 1458 | 2.0804          | 0.3778   |
| 0.301         | 28.0  | 1512 | 2.2193          | 0.3778   |
| 0.3071        | 29.0  | 1566 | 2.1320          | 0.4      |
| 0.2692        | 30.0  | 1620 | 2.1776          | 0.4      |
| 0.3275        | 31.0  | 1674 | 2.6668          | 0.3778   |
| 0.3324        | 32.0  | 1728 | 2.3637          | 0.3556   |
| 0.2194        | 33.0  | 1782 | 3.2059          | 0.3556   |
| 0.1362        | 34.0  | 1836 | 2.2584          | 0.4222   |
| 0.1905        | 35.0  | 1890 | 2.9276          | 0.4222   |
| 0.3069        | 36.0  | 1944 | 2.6887          | 0.4      |
| 0.2159        | 37.0  | 1998 | 2.8176          | 0.4444   |
| 0.1715        | 38.0  | 2052 | 3.0048          | 0.3778   |
| 0.2517        | 39.0  | 2106 | 3.1284          | 0.3556   |
| 0.0864        | 40.0  | 2160 | 3.5476          | 0.4      |
| 0.1317        | 41.0  | 2214 | 3.6611          | 0.4      |
| 0.0368        | 42.0  | 2268 | 3.5518          | 0.3556   |
| 0.1819        | 43.0  | 2322 | 3.0147          | 0.4222   |
| 0.0279        | 44.0  | 2376 | 4.1941          | 0.3778   |
| 0.0544        | 45.0  | 2430 | 4.0223          | 0.3556   |
| 0.116         | 46.0  | 2484 | 3.9920          | 0.4      |
| 0.0499        | 47.0  | 2538 | 4.1531          | 0.4      |
| 0.0091        | 48.0  | 2592 | 4.1956          | 0.4222   |
| 0.0719        | 49.0  | 2646 | 4.2481          | 0.4667   |
| 0.0219        | 50.0  | 2700 | 4.2475          | 0.4667   |


### 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_Adamax_lr001_fold1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.4666666666666667, "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