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# hushem_5x_deit_base_sgd_0001_fold5

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: 1.3415
- Accuracy: 0.2439

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4294        | 1.0   | 28   | 1.3731          | 0.1951   |
| 1.4335        | 2.0   | 56   | 1.3715          | 0.1707   |
| 1.422         | 3.0   | 84   | 1.3699          | 0.1951   |
| 1.4098        | 4.0   | 112  | 1.3685          | 0.1951   |
| 1.4327        | 5.0   | 140  | 1.3671          | 0.1951   |
| 1.4151        | 6.0   | 168  | 1.3658          | 0.1951   |
| 1.4318        | 7.0   | 196  | 1.3646          | 0.1951   |
| 1.4306        | 8.0   | 224  | 1.3633          | 0.1951   |
| 1.4139        | 9.0   | 252  | 1.3622          | 0.1951   |
| 1.3993        | 10.0  | 280  | 1.3610          | 0.1951   |
| 1.4169        | 11.0  | 308  | 1.3598          | 0.1951   |
| 1.4153        | 12.0  | 336  | 1.3588          | 0.1951   |
| 1.3944        | 13.0  | 364  | 1.3578          | 0.2195   |
| 1.3902        | 14.0  | 392  | 1.3568          | 0.2439   |
| 1.4112        | 15.0  | 420  | 1.3559          | 0.2439   |
| 1.3995        | 16.0  | 448  | 1.3550          | 0.2439   |
| 1.3975        | 17.0  | 476  | 1.3541          | 0.2195   |
| 1.4069        | 18.0  | 504  | 1.3533          | 0.2195   |
| 1.4187        | 19.0  | 532  | 1.3524          | 0.2195   |
| 1.4025        | 20.0  | 560  | 1.3517          | 0.2195   |
| 1.3945        | 21.0  | 588  | 1.3509          | 0.2195   |
| 1.3823        | 22.0  | 616  | 1.3502          | 0.2195   |
| 1.3849        | 23.0  | 644  | 1.3496          | 0.2195   |
| 1.3949        | 24.0  | 672  | 1.3489          | 0.2195   |
| 1.3838        | 25.0  | 700  | 1.3483          | 0.2195   |
| 1.3842        | 26.0  | 728  | 1.3477          | 0.2195   |
| 1.3834        | 27.0  | 756  | 1.3472          | 0.2195   |
| 1.3887        | 28.0  | 784  | 1.3466          | 0.2195   |
| 1.381         | 29.0  | 812  | 1.3461          | 0.2195   |
| 1.4001        | 30.0  | 840  | 1.3457          | 0.2439   |
| 1.3827        | 31.0  | 868  | 1.3452          | 0.2439   |
| 1.3845        | 32.0  | 896  | 1.3448          | 0.2439   |
| 1.3786        | 33.0  | 924  | 1.3444          | 0.2439   |
| 1.3866        | 34.0  | 952  | 1.3440          | 0.2439   |
| 1.3704        | 35.0  | 980  | 1.3437          | 0.2439   |
| 1.3751        | 36.0  | 1008 | 1.3433          | 0.2439   |
| 1.3701        | 37.0  | 1036 | 1.3431          | 0.2439   |
| 1.3624        | 38.0  | 1064 | 1.3428          | 0.2439   |
| 1.3758        | 39.0  | 1092 | 1.3426          | 0.2439   |
| 1.3768        | 40.0  | 1120 | 1.3423          | 0.2439   |
| 1.3757        | 41.0  | 1148 | 1.3422          | 0.2439   |
| 1.3802        | 42.0  | 1176 | 1.3420          | 0.2439   |
| 1.38          | 43.0  | 1204 | 1.3418          | 0.2439   |
| 1.3821        | 44.0  | 1232 | 1.3417          | 0.2439   |
| 1.3878        | 45.0  | 1260 | 1.3417          | 0.2439   |
| 1.3547        | 46.0  | 1288 | 1.3416          | 0.2439   |
| 1.3794        | 47.0  | 1316 | 1.3416          | 0.2439   |
| 1.3781        | 48.0  | 1344 | 1.3415          | 0.2439   |
| 1.373         | 49.0  | 1372 | 1.3415          | 0.2439   |
| 1.3839        | 50.0  | 1400 | 1.3415          | 0.2439   |


### 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_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": 0.24390243902439024, "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