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# hushem_5x_deit_base_sgd_00001_fold1

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: 1.4547
- Accuracy: 0.2

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4142        | 1.0   | 27   | 1.4588          | 0.2      |
| 1.43          | 2.0   | 54   | 1.4586          | 0.2      |
| 1.431         | 3.0   | 81   | 1.4584          | 0.2      |
| 1.428         | 4.0   | 108  | 1.4582          | 0.2      |
| 1.4298        | 5.0   | 135  | 1.4581          | 0.2      |
| 1.4162        | 6.0   | 162  | 1.4579          | 0.2      |
| 1.4151        | 7.0   | 189  | 1.4577          | 0.2      |
| 1.4305        | 8.0   | 216  | 1.4576          | 0.2      |
| 1.4174        | 9.0   | 243  | 1.4574          | 0.2      |
| 1.4253        | 10.0  | 270  | 1.4573          | 0.2      |
| 1.413         | 11.0  | 297  | 1.4571          | 0.2      |
| 1.4424        | 12.0  | 324  | 1.4570          | 0.2      |
| 1.4176        | 13.0  | 351  | 1.4569          | 0.2      |
| 1.4068        | 14.0  | 378  | 1.4567          | 0.2      |
| 1.4121        | 15.0  | 405  | 1.4566          | 0.2      |
| 1.4414        | 16.0  | 432  | 1.4565          | 0.2      |
| 1.4193        | 17.0  | 459  | 1.4564          | 0.2      |
| 1.4027        | 18.0  | 486  | 1.4563          | 0.2      |
| 1.4234        | 19.0  | 513  | 1.4561          | 0.2      |
| 1.4191        | 20.0  | 540  | 1.4560          | 0.2      |
| 1.422         | 21.0  | 567  | 1.4559          | 0.2      |
| 1.4308        | 22.0  | 594  | 1.4558          | 0.2      |
| 1.4159        | 23.0  | 621  | 1.4557          | 0.2      |
| 1.3917        | 24.0  | 648  | 1.4557          | 0.2      |
| 1.4256        | 25.0  | 675  | 1.4556          | 0.2      |
| 1.4297        | 26.0  | 702  | 1.4555          | 0.2      |
| 1.4255        | 27.0  | 729  | 1.4554          | 0.2      |
| 1.4283        | 28.0  | 756  | 1.4553          | 0.2      |
| 1.4093        | 29.0  | 783  | 1.4553          | 0.2      |
| 1.4375        | 30.0  | 810  | 1.4552          | 0.2      |
| 1.4191        | 31.0  | 837  | 1.4551          | 0.2      |
| 1.4114        | 32.0  | 864  | 1.4551          | 0.2      |
| 1.4302        | 33.0  | 891  | 1.4550          | 0.2      |
| 1.4246        | 34.0  | 918  | 1.4550          | 0.2      |
| 1.4179        | 35.0  | 945  | 1.4549          | 0.2      |
| 1.4054        | 36.0  | 972  | 1.4549          | 0.2      |
| 1.4083        | 37.0  | 999  | 1.4549          | 0.2      |
| 1.4246        | 38.0  | 1026 | 1.4548          | 0.2      |
| 1.4277        | 39.0  | 1053 | 1.4548          | 0.2      |
| 1.4249        | 40.0  | 1080 | 1.4548          | 0.2      |
| 1.4275        | 41.0  | 1107 | 1.4547          | 0.2      |
| 1.42          | 42.0  | 1134 | 1.4547          | 0.2      |
| 1.4184        | 43.0  | 1161 | 1.4547          | 0.2      |
| 1.3982        | 44.0  | 1188 | 1.4547          | 0.2      |
| 1.4187        | 45.0  | 1215 | 1.4547          | 0.2      |
| 1.4142        | 46.0  | 1242 | 1.4547          | 0.2      |
| 1.4272        | 47.0  | 1269 | 1.4547          | 0.2      |
| 1.4241        | 48.0  | 1296 | 1.4547          | 0.2      |
| 1.4142        | 49.0  | 1323 | 1.4547          | 0.2      |
| 1.4153        | 50.0  | 1350 | 1.4547          | 0.2      |


### 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_fold1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.2, "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