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# HUSHEM_1x_beit_large_SGD_lr0001_fold5

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: 1.4384
- Accuracy: 0.3415

## 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: 0.0001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5745        | 1.0   | 11   | 1.5248          | 0.3171   |
| 1.5152        | 2.0   | 22   | 1.5199          | 0.3171   |
| 1.5226        | 3.0   | 33   | 1.5152          | 0.3171   |
| 1.5016        | 4.0   | 44   | 1.5102          | 0.3171   |
| 1.5165        | 5.0   | 55   | 1.5062          | 0.3415   |
| 1.5139        | 6.0   | 66   | 1.5022          | 0.3415   |
| 1.4886        | 7.0   | 77   | 1.4983          | 0.3415   |
| 1.5607        | 8.0   | 88   | 1.4952          | 0.3415   |
| 1.4625        | 9.0   | 99   | 1.4919          | 0.3415   |
| 1.5187        | 10.0  | 110  | 1.4884          | 0.3659   |
| 1.5027        | 11.0  | 121  | 1.4851          | 0.3659   |
| 1.4926        | 12.0  | 132  | 1.4820          | 0.3659   |
| 1.4905        | 13.0  | 143  | 1.4788          | 0.3659   |
| 1.4548        | 14.0  | 154  | 1.4760          | 0.3659   |
| 1.4816        | 15.0  | 165  | 1.4734          | 0.3659   |
| 1.5284        | 16.0  | 176  | 1.4709          | 0.3659   |
| 1.4569        | 17.0  | 187  | 1.4687          | 0.3659   |
| 1.479         | 18.0  | 198  | 1.4667          | 0.3659   |
| 1.4528        | 19.0  | 209  | 1.4643          | 0.3659   |
| 1.4647        | 20.0  | 220  | 1.4623          | 0.3415   |
| 1.4439        | 21.0  | 231  | 1.4602          | 0.3415   |
| 1.4693        | 22.0  | 242  | 1.4584          | 0.3415   |
| 1.4933        | 23.0  | 253  | 1.4567          | 0.3415   |
| 1.5047        | 24.0  | 264  | 1.4549          | 0.3415   |
| 1.4886        | 25.0  | 275  | 1.4533          | 0.3415   |
| 1.42          | 26.0  | 286  | 1.4518          | 0.3415   |
| 1.4958        | 27.0  | 297  | 1.4503          | 0.3415   |
| 1.4514        | 28.0  | 308  | 1.4489          | 0.3415   |
| 1.4748        | 29.0  | 319  | 1.4478          | 0.3415   |
| 1.4707        | 30.0  | 330  | 1.4467          | 0.3415   |
| 1.4698        | 31.0  | 341  | 1.4455          | 0.3415   |
| 1.4524        | 32.0  | 352  | 1.4446          | 0.3415   |
| 1.4755        | 33.0  | 363  | 1.4436          | 0.3415   |
| 1.431         | 34.0  | 374  | 1.4428          | 0.3415   |
| 1.4769        | 35.0  | 385  | 1.4421          | 0.3415   |
| 1.41          | 36.0  | 396  | 1.4414          | 0.3415   |
| 1.4234        | 37.0  | 407  | 1.4408          | 0.3415   |
| 1.4754        | 38.0  | 418  | 1.4402          | 0.3415   |
| 1.4109        | 39.0  | 429  | 1.4397          | 0.3415   |
| 1.4517        | 40.0  | 440  | 1.4393          | 0.3415   |
| 1.4612        | 41.0  | 451  | 1.4390          | 0.3415   |
| 1.4407        | 42.0  | 462  | 1.4387          | 0.3415   |
| 1.4887        | 43.0  | 473  | 1.4386          | 0.3415   |
| 1.4042        | 44.0  | 484  | 1.4384          | 0.3415   |
| 1.4975        | 45.0  | 495  | 1.4384          | 0.3415   |
| 1.4585        | 46.0  | 506  | 1.4384          | 0.3415   |
| 1.4632        | 47.0  | 517  | 1.4384          | 0.3415   |
| 1.3977        | 48.0  | 528  | 1.4384          | 0.3415   |
| 1.4029        | 49.0  | 539  | 1.4384          | 0.3415   |
| 1.4302        | 50.0  | 550  | 1.4384          | 0.3415   |


### 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_SGD_lr0001_fold5", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.34146341463414637, "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