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# hushem_5x_deit_base_sgd_00001_fold3

This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3841
- Accuracy: 0.3721

## 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: 1e-05
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4207        | 1.0   | 28   | 1.3865          | 0.3721   |
| 1.4337        | 2.0   | 56   | 1.3864          | 0.3721   |
| 1.445         | 3.0   | 84   | 1.3863          | 0.3721   |
| 1.4489        | 4.0   | 112  | 1.3862          | 0.3721   |
| 1.3943        | 5.0   | 140  | 1.3861          | 0.3721   |
| 1.4493        | 6.0   | 168  | 1.3860          | 0.3721   |
| 1.4229        | 7.0   | 196  | 1.3859          | 0.3721   |
| 1.4563        | 8.0   | 224  | 1.3858          | 0.3721   |
| 1.4234        | 9.0   | 252  | 1.3857          | 0.3721   |
| 1.4265        | 10.0  | 280  | 1.3856          | 0.3721   |
| 1.4288        | 11.0  | 308  | 1.3855          | 0.3721   |
| 1.437         | 12.0  | 336  | 1.3855          | 0.3721   |
| 1.4189        | 13.0  | 364  | 1.3854          | 0.3721   |
| 1.4336        | 14.0  | 392  | 1.3853          | 0.3721   |
| 1.3938        | 15.0  | 420  | 1.3852          | 0.3721   |
| 1.4323        | 16.0  | 448  | 1.3851          | 0.3721   |
| 1.4267        | 17.0  | 476  | 1.3851          | 0.3721   |
| 1.4208        | 18.0  | 504  | 1.3850          | 0.3721   |
| 1.4257        | 19.0  | 532  | 1.3849          | 0.3721   |
| 1.4426        | 20.0  | 560  | 1.3849          | 0.3721   |
| 1.4493        | 21.0  | 588  | 1.3848          | 0.3721   |
| 1.4203        | 22.0  | 616  | 1.3848          | 0.3721   |
| 1.4209        | 23.0  | 644  | 1.3847          | 0.3721   |
| 1.4152        | 24.0  | 672  | 1.3847          | 0.3721   |
| 1.4253        | 25.0  | 700  | 1.3846          | 0.3721   |
| 1.4344        | 26.0  | 728  | 1.3846          | 0.3721   |
| 1.4406        | 27.0  | 756  | 1.3845          | 0.3721   |
| 1.435         | 28.0  | 784  | 1.3845          | 0.3721   |
| 1.4128        | 29.0  | 812  | 1.3844          | 0.3721   |
| 1.4483        | 30.0  | 840  | 1.3844          | 0.3721   |
| 1.4308        | 31.0  | 868  | 1.3844          | 0.3721   |
| 1.4319        | 32.0  | 896  | 1.3843          | 0.3721   |
| 1.4115        | 33.0  | 924  | 1.3843          | 0.3721   |
| 1.4269        | 34.0  | 952  | 1.3843          | 0.3721   |
| 1.4112        | 35.0  | 980  | 1.3842          | 0.3721   |
| 1.4513        | 36.0  | 1008 | 1.3842          | 0.3721   |
| 1.4288        | 37.0  | 1036 | 1.3842          | 0.3721   |
| 1.4247        | 38.0  | 1064 | 1.3842          | 0.3721   |
| 1.3988        | 39.0  | 1092 | 1.3842          | 0.3721   |
| 1.4499        | 40.0  | 1120 | 1.3841          | 0.3721   |
| 1.44          | 41.0  | 1148 | 1.3841          | 0.3721   |
| 1.4219        | 42.0  | 1176 | 1.3841          | 0.3721   |
| 1.437         | 43.0  | 1204 | 1.3841          | 0.3721   |
| 1.411         | 44.0  | 1232 | 1.3841          | 0.3721   |
| 1.4061        | 45.0  | 1260 | 1.3841          | 0.3721   |
| 1.4217        | 46.0  | 1288 | 1.3841          | 0.3721   |
| 1.4337        | 47.0  | 1316 | 1.3841          | 0.3721   |
| 1.4341        | 48.0  | 1344 | 1.3841          | 0.3721   |
| 1.415         | 49.0  | 1372 | 1.3841          | 0.3721   |
| 1.4182        | 50.0  | 1400 | 1.3841          | 0.3721   |


### 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": "facebook/deit-base-patch16-224", "model-index": [{"name": "hushem_5x_deit_base_sgd_00001_fold3", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.37209302325581395, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors vit image-classification generated_from_trainer dataset:imagefolder base_model:facebook/deit-base-patch16-224 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us