
<!-- 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_1x_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: 5.7844
- Accuracy: 0.4889

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.8241        | 1.0   | 11   | 1.3937          | 0.2444   |
| 1.4501        | 2.0   | 22   | 1.4006          | 0.2444   |
| 1.3802        | 3.0   | 33   | 1.4114          | 0.2889   |
| 1.2959        | 4.0   | 44   | 1.3854          | 0.2667   |
| 1.2986        | 5.0   | 55   | 1.5137          | 0.2889   |
| 1.2452        | 6.0   | 66   | 1.3229          | 0.4      |
| 1.259         | 7.0   | 77   | 1.4894          | 0.2889   |
| 1.1737        | 8.0   | 88   | 1.3684          | 0.3778   |
| 1.1346        | 9.0   | 99   | 1.1852          | 0.4444   |
| 1.0381        | 10.0  | 110  | 1.3760          | 0.3778   |
| 0.8414        | 11.0  | 121  | 1.4480          | 0.4222   |
| 0.7806        | 12.0  | 132  | 1.6910          | 0.3111   |
| 0.8408        | 13.0  | 143  | 1.2881          | 0.4889   |
| 0.7339        | 14.0  | 154  | 1.9804          | 0.3778   |
| 0.7878        | 15.0  | 165  | 1.8092          | 0.4667   |
| 0.7052        | 16.0  | 176  | 2.2994          | 0.4667   |
| 0.7161        | 17.0  | 187  | 2.0961          | 0.5111   |
| 0.5817        | 18.0  | 198  | 1.4977          | 0.4444   |
| 0.5795        | 19.0  | 209  | 2.2746          | 0.4889   |
| 0.4213        | 20.0  | 220  | 2.6301          | 0.4667   |
| 0.4871        | 21.0  | 231  | 2.0113          | 0.4444   |
| 0.6333        | 22.0  | 242  | 2.8118          | 0.4222   |
| 0.4829        | 23.0  | 253  | 2.2542          | 0.5111   |
| 0.3632        | 24.0  | 264  | 2.6559          | 0.4667   |
| 0.3125        | 25.0  | 275  | 3.6312          | 0.4667   |
| 0.184         | 26.0  | 286  | 3.0338          | 0.5111   |
| 0.3171        | 27.0  | 297  | 2.3948          | 0.5556   |
| 0.3056        | 28.0  | 308  | 3.6658          | 0.4444   |
| 0.3534        | 29.0  | 319  | 3.5658          | 0.3333   |
| 0.1824        | 30.0  | 330  | 4.3439          | 0.4444   |
| 0.2301        | 31.0  | 341  | 3.0044          | 0.4667   |
| 0.0997        | 32.0  | 352  | 3.8830          | 0.5111   |
| 0.0744        | 33.0  | 363  | 4.2616          | 0.4222   |
| 0.113         | 34.0  | 374  | 4.9314          | 0.4667   |
| 0.0379        | 35.0  | 385  | 5.3164          | 0.4889   |
| 0.0034        | 36.0  | 396  | 5.5504          | 0.5333   |
| 0.0095        | 37.0  | 407  | 5.5359          | 0.5556   |
| 0.0156        | 38.0  | 418  | 5.4196          | 0.5778   |
| 0.102         | 39.0  | 429  | 5.4881          | 0.5333   |
| 0.0436        | 40.0  | 440  | 5.2567          | 0.5111   |
| 0.0367        | 41.0  | 451  | 5.6180          | 0.5778   |
| 0.003         | 42.0  | 462  | 5.4896          | 0.5556   |
| 0.0354        | 43.0  | 473  | 5.7071          | 0.5111   |
| 0.08          | 44.0  | 484  | 5.8032          | 0.4889   |
| 0.0384        | 45.0  | 495  | 5.7804          | 0.4889   |
| 0.0241        | 46.0  | 506  | 5.7844          | 0.4889   |
| 0.0017        | 47.0  | 517  | 5.7844          | 0.4889   |
| 0.0205        | 48.0  | 528  | 5.7844          | 0.4889   |
| 0.0011        | 49.0  | 539  | 5.7844          | 0.4889   |
| 0.0141        | 50.0  | 550  | 5.7844          | 0.4889   |


### 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_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": 0.4888888888888889, "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