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# hushem_5x_beit_base_sgd_0001_fold5

This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4856
- Accuracy: 0.3171

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5711        | 1.0   | 28   | 1.6258          | 0.2439   |
| 1.5362        | 2.0   | 56   | 1.6161          | 0.2439   |
| 1.5243        | 3.0   | 84   | 1.6077          | 0.2439   |
| 1.5675        | 4.0   | 112  | 1.5988          | 0.2439   |
| 1.5133        | 5.0   | 140  | 1.5920          | 0.2439   |
| 1.5639        | 6.0   | 168  | 1.5854          | 0.2439   |
| 1.555         | 7.0   | 196  | 1.5785          | 0.2439   |
| 1.5064        | 8.0   | 224  | 1.5727          | 0.2439   |
| 1.4878        | 9.0   | 252  | 1.5672          | 0.2439   |
| 1.5121        | 10.0  | 280  | 1.5615          | 0.2439   |
| 1.4492        | 11.0  | 308  | 1.5578          | 0.2439   |
| 1.5023        | 12.0  | 336  | 1.5529          | 0.2439   |
| 1.5035        | 13.0  | 364  | 1.5492          | 0.2439   |
| 1.4801        | 14.0  | 392  | 1.5454          | 0.2439   |
| 1.4838        | 15.0  | 420  | 1.5419          | 0.2683   |
| 1.4587        | 16.0  | 448  | 1.5385          | 0.2683   |
| 1.4655        | 17.0  | 476  | 1.5343          | 0.2683   |
| 1.4244        | 18.0  | 504  | 1.5315          | 0.2927   |
| 1.4339        | 19.0  | 532  | 1.5284          | 0.2927   |
| 1.4266        | 20.0  | 560  | 1.5249          | 0.2927   |
| 1.4474        | 21.0  | 588  | 1.5220          | 0.2927   |
| 1.4652        | 22.0  | 616  | 1.5188          | 0.3171   |
| 1.4621        | 23.0  | 644  | 1.5163          | 0.3171   |
| 1.4655        | 24.0  | 672  | 1.5146          | 0.3171   |
| 1.4192        | 25.0  | 700  | 1.5130          | 0.3171   |
| 1.4459        | 26.0  | 728  | 1.5105          | 0.3171   |
| 1.469         | 27.0  | 756  | 1.5090          | 0.3171   |
| 1.3585        | 28.0  | 784  | 1.5067          | 0.3171   |
| 1.4084        | 29.0  | 812  | 1.5049          | 0.3171   |
| 1.4047        | 30.0  | 840  | 1.5031          | 0.3171   |
| 1.4414        | 31.0  | 868  | 1.5013          | 0.3171   |
| 1.3836        | 32.0  | 896  | 1.4995          | 0.3171   |
| 1.3896        | 33.0  | 924  | 1.4979          | 0.3171   |
| 1.4222        | 34.0  | 952  | 1.4964          | 0.3171   |
| 1.4396        | 35.0  | 980  | 1.4952          | 0.3171   |
| 1.3891        | 36.0  | 1008 | 1.4939          | 0.3171   |
| 1.393         | 37.0  | 1036 | 1.4925          | 0.3171   |
| 1.3697        | 38.0  | 1064 | 1.4914          | 0.3171   |
| 1.4252        | 39.0  | 1092 | 1.4901          | 0.3171   |
| 1.365         | 40.0  | 1120 | 1.4892          | 0.3171   |
| 1.4164        | 41.0  | 1148 | 1.4883          | 0.3171   |
| 1.3854        | 42.0  | 1176 | 1.4876          | 0.3171   |
| 1.3744        | 43.0  | 1204 | 1.4870          | 0.3171   |
| 1.4041        | 44.0  | 1232 | 1.4865          | 0.3171   |
| 1.3952        | 45.0  | 1260 | 1.4861          | 0.3171   |
| 1.3758        | 46.0  | 1288 | 1.4858          | 0.3171   |
| 1.3986        | 47.0  | 1316 | 1.4857          | 0.3171   |
| 1.3628        | 48.0  | 1344 | 1.4856          | 0.3171   |
| 1.4108        | 49.0  | 1372 | 1.4856          | 0.3171   |
| 1.4199        | 50.0  | 1400 | 1.4856          | 0.3171   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/beit-base-patch16-224", "model-index": [{"name": "hushem_5x_beit_base_sgd_0001_fold5", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.3170731707317073, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors beit image-classification generated_from_trainer dataset:imagefolder base_model:microsoft/beit-base-patch16-224 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us