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# hushem_5x_deit_tiny_adamax_001_fold2

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: 5.5945
- Accuracy: 0.4667

## 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: 0.001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3843        | 1.0   | 27   | 1.6047          | 0.2667   |
| 1.3126        | 2.0   | 54   | 1.5540          | 0.2889   |
| 1.242         | 3.0   | 81   | 1.7659          | 0.2889   |
| 1.2292        | 4.0   | 108  | 1.5553          | 0.2667   |
| 1.1861        | 5.0   | 135  | 1.3959          | 0.2889   |
| 0.9837        | 6.0   | 162  | 1.3509          | 0.4889   |
| 0.9151        | 7.0   | 189  | 1.3189          | 0.3778   |
| 0.8428        | 8.0   | 216  | 1.2233          | 0.4444   |
| 0.6366        | 9.0   | 243  | 1.6296          | 0.5556   |
| 0.6056        | 10.0  | 270  | 2.1707          | 0.5333   |
| 0.6193        | 11.0  | 297  | 2.2637          | 0.5333   |
| 0.419         | 12.0  | 324  | 2.6815          | 0.4444   |
| 0.4931        | 13.0  | 351  | 1.6615          | 0.4444   |
| 0.4945        | 14.0  | 378  | 2.3385          | 0.4444   |
| 0.4035        | 15.0  | 405  | 2.2795          | 0.4889   |
| 0.2803        | 16.0  | 432  | 2.9683          | 0.5556   |
| 0.3104        | 17.0  | 459  | 3.6455          | 0.4222   |
| 0.2085        | 18.0  | 486  | 3.8509          | 0.5778   |
| 0.3092        | 19.0  | 513  | 2.7832          | 0.5333   |
| 0.2911        | 20.0  | 540  | 3.5970          | 0.4667   |
| 0.1508        | 21.0  | 567  | 2.8494          | 0.4      |
| 0.1872        | 22.0  | 594  | 3.4606          | 0.5111   |
| 0.1634        | 23.0  | 621  | 3.9940          | 0.5778   |
| 0.0282        | 24.0  | 648  | 4.2310          | 0.4667   |
| 0.0886        | 25.0  | 675  | 3.4801          | 0.4889   |
| 0.1057        | 26.0  | 702  | 3.6632          | 0.4222   |
| 0.0893        | 27.0  | 729  | 3.7806          | 0.5556   |
| 0.0108        | 28.0  | 756  | 4.5566          | 0.5556   |
| 0.1095        | 29.0  | 783  | 4.2488          | 0.5556   |
| 0.0164        | 30.0  | 810  | 4.4510          | 0.5556   |
| 0.0017        | 31.0  | 837  | 4.8182          | 0.5333   |
| 0.0006        | 32.0  | 864  | 5.4595          | 0.5333   |
| 0.0034        | 33.0  | 891  | 5.3273          | 0.5556   |
| 0.0036        | 34.0  | 918  | 4.8258          | 0.4889   |
| 0.0002        | 35.0  | 945  | 5.5297          | 0.5111   |
| 0.0007        | 36.0  | 972  | 5.4553          | 0.4667   |
| 0.0081        | 37.0  | 999  | 5.5834          | 0.5333   |
| 0.0001        | 38.0  | 1026 | 5.4059          | 0.5333   |
| 0.0001        | 39.0  | 1053 | 5.7543          | 0.4667   |
| 0.0           | 40.0  | 1080 | 5.5912          | 0.4667   |
| 0.0           | 41.0  | 1107 | 5.5774          | 0.4667   |
| 0.0           | 42.0  | 1134 | 5.5838          | 0.4667   |
| 0.0           | 43.0  | 1161 | 5.5882          | 0.4667   |
| 0.0           | 44.0  | 1188 | 5.5908          | 0.4667   |
| 0.0           | 45.0  | 1215 | 5.5928          | 0.4667   |
| 0.0           | 46.0  | 1242 | 5.5933          | 0.4667   |
| 0.0           | 47.0  | 1269 | 5.5942          | 0.4667   |
| 0.0           | 48.0  | 1296 | 5.5945          | 0.4667   |
| 0.0           | 49.0  | 1323 | 5.5945          | 0.4667   |
| 0.0           | 50.0  | 1350 | 5.5945          | 0.4667   |


### 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_001_fold2", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.4666666666666667, "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