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# hushem_5x_deit_tiny_adamax_00001_fold3

This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5891
- Accuracy: 0.8605

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3491        | 1.0   | 28   | 1.3171          | 0.4186   |
| 1.0583        | 2.0   | 56   | 1.1404          | 0.4186   |
| 0.8133        | 3.0   | 84   | 1.0626          | 0.5581   |
| 0.7236        | 4.0   | 112  | 0.9689          | 0.6047   |
| 0.5407        | 5.0   | 140  | 0.9154          | 0.6512   |
| 0.4787        | 6.0   | 168  | 0.8329          | 0.6977   |
| 0.4043        | 7.0   | 196  | 0.7849          | 0.7442   |
| 0.3066        | 8.0   | 224  | 0.7047          | 0.7209   |
| 0.2483        | 9.0   | 252  | 0.6601          | 0.7209   |
| 0.1984        | 10.0  | 280  | 0.6346          | 0.7209   |
| 0.1508        | 11.0  | 308  | 0.6148          | 0.7209   |
| 0.1138        | 12.0  | 336  | 0.6034          | 0.7442   |
| 0.0962        | 13.0  | 364  | 0.5398          | 0.7674   |
| 0.0639        | 14.0  | 392  | 0.4866          | 0.7907   |
| 0.0434        | 15.0  | 420  | 0.4751          | 0.8140   |
| 0.0344        | 16.0  | 448  | 0.5249          | 0.7674   |
| 0.0259        | 17.0  | 476  | 0.4934          | 0.8140   |
| 0.0173        | 18.0  | 504  | 0.5157          | 0.8140   |
| 0.0125        | 19.0  | 532  | 0.4794          | 0.8140   |
| 0.0079        | 20.0  | 560  | 0.5000          | 0.8140   |
| 0.0068        | 21.0  | 588  | 0.5083          | 0.8140   |
| 0.0051        | 22.0  | 616  | 0.5005          | 0.8372   |
| 0.0044        | 23.0  | 644  | 0.4949          | 0.8372   |
| 0.0034        | 24.0  | 672  | 0.5221          | 0.8372   |
| 0.003         | 25.0  | 700  | 0.5304          | 0.8605   |
| 0.0025        | 26.0  | 728  | 0.5459          | 0.8372   |
| 0.0023        | 27.0  | 756  | 0.5309          | 0.8372   |
| 0.0022        | 28.0  | 784  | 0.5468          | 0.8605   |
| 0.002         | 29.0  | 812  | 0.5471          | 0.8372   |
| 0.0018        | 30.0  | 840  | 0.5437          | 0.8372   |
| 0.0015        | 31.0  | 868  | 0.5534          | 0.8372   |
| 0.0016        | 32.0  | 896  | 0.5689          | 0.8605   |
| 0.0015        | 33.0  | 924  | 0.5621          | 0.8605   |
| 0.0014        | 34.0  | 952  | 0.5754          | 0.8605   |
| 0.0013        | 35.0  | 980  | 0.5699          | 0.8605   |
| 0.0012        | 36.0  | 1008 | 0.5713          | 0.8605   |
| 0.0013        | 37.0  | 1036 | 0.5830          | 0.8372   |
| 0.0011        | 38.0  | 1064 | 0.5769          | 0.8372   |
| 0.0012        | 39.0  | 1092 | 0.5866          | 0.8372   |
| 0.0011        | 40.0  | 1120 | 0.5802          | 0.8372   |
| 0.0011        | 41.0  | 1148 | 0.5838          | 0.8605   |
| 0.001         | 42.0  | 1176 | 0.5874          | 0.8605   |
| 0.001         | 43.0  | 1204 | 0.5844          | 0.8605   |
| 0.001         | 44.0  | 1232 | 0.5856          | 0.8605   |
| 0.0009        | 45.0  | 1260 | 0.5886          | 0.8605   |
| 0.001         | 46.0  | 1288 | 0.5883          | 0.8605   |
| 0.0009        | 47.0  | 1316 | 0.5899          | 0.8605   |
| 0.0009        | 48.0  | 1344 | 0.5891          | 0.8605   |
| 0.001         | 49.0  | 1372 | 0.5891          | 0.8605   |
| 0.001         | 50.0  | 1400 | 0.5891          | 0.8605   |


### 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-tiny-patch16-224", "model-index": [{"name": "hushem_5x_deit_tiny_adamax_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": 0.8604651162790697, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors vit image-classification generated_from_trainer dataset:imagefolder base_model:facebook/deit-tiny-patch16-224 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us