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# hushem_5x_deit_tiny_rms_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: 4.2103
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.9281        | 1.0   | 27   | 1.5117          | 0.2444   |
| 1.5142        | 2.0   | 54   | 1.4322          | 0.2444   |
| 1.4521        | 3.0   | 81   | 1.4347          | 0.2667   |
| 1.4849        | 4.0   | 108  | 1.6669          | 0.2444   |
| 1.4295        | 5.0   | 135  | 1.4219          | 0.2444   |
| 1.5039        | 6.0   | 162  | 1.4488          | 0.2444   |
| 1.4071        | 7.0   | 189  | 1.5265          | 0.2667   |
| 1.3353        | 8.0   | 216  | 1.4657          | 0.2      |
| 1.2509        | 9.0   | 243  | 1.4974          | 0.2667   |
| 1.2656        | 10.0  | 270  | 1.3879          | 0.2667   |
| 1.1653        | 11.0  | 297  | 1.5762          | 0.3333   |
| 1.1362        | 12.0  | 324  | 1.6646          | 0.4      |
| 1.2223        | 13.0  | 351  | 1.6454          | 0.1556   |
| 1.027         | 14.0  | 378  | 1.7430          | 0.2222   |
| 1.0093        | 15.0  | 405  | 1.8846          | 0.3778   |
| 0.9584        | 16.0  | 432  | 2.4104          | 0.1333   |
| 0.9432        | 17.0  | 459  | 2.0298          | 0.2667   |
| 0.9525        | 18.0  | 486  | 2.0687          | 0.3111   |
| 0.8065        | 19.0  | 513  | 2.3917          | 0.1778   |
| 0.8858        | 20.0  | 540  | 1.9861          | 0.2222   |
| 0.761         | 21.0  | 567  | 2.1617          | 0.3111   |
| 0.7456        | 22.0  | 594  | 2.6510          | 0.2667   |
| 0.7215        | 23.0  | 621  | 2.5639          | 0.4      |
| 0.7957        | 24.0  | 648  | 2.1510          | 0.3111   |
| 0.6858        | 25.0  | 675  | 2.2884          | 0.5111   |
| 0.6662        | 26.0  | 702  | 2.5211          | 0.4667   |
| 0.6301        | 27.0  | 729  | 2.5983          | 0.4667   |
| 0.676         | 28.0  | 756  | 2.4047          | 0.3778   |
| 0.5592        | 29.0  | 783  | 2.9746          | 0.4444   |
| 0.5758        | 30.0  | 810  | 2.5122          | 0.3778   |
| 0.5241        | 31.0  | 837  | 2.9556          | 0.4222   |
| 0.5249        | 32.0  | 864  | 2.6136          | 0.4889   |
| 0.527         | 33.0  | 891  | 2.5736          | 0.4222   |
| 0.5079        | 34.0  | 918  | 2.8504          | 0.5333   |
| 0.4469        | 35.0  | 945  | 3.2380          | 0.4      |
| 0.4391        | 36.0  | 972  | 3.1267          | 0.4444   |
| 0.3925        | 37.0  | 999  | 3.3000          | 0.4667   |
| 0.3719        | 38.0  | 1026 | 3.1308          | 0.5111   |
| 0.3137        | 39.0  | 1053 | 3.2238          | 0.4889   |
| 0.2551        | 40.0  | 1080 | 3.3279          | 0.5333   |
| 0.2638        | 41.0  | 1107 | 3.4382          | 0.5111   |
| 0.2004        | 42.0  | 1134 | 3.7709          | 0.4667   |
| 0.1877        | 43.0  | 1161 | 3.7286          | 0.4222   |
| 0.1439        | 44.0  | 1188 | 3.9363          | 0.4889   |
| 0.1405        | 45.0  | 1215 | 4.0904          | 0.4667   |
| 0.1084        | 46.0  | 1242 | 4.2188          | 0.4889   |
| 0.0629        | 47.0  | 1269 | 4.1702          | 0.5111   |
| 0.0462        | 48.0  | 1296 | 4.2158          | 0.4667   |
| 0.0313        | 49.0  | 1323 | 4.2103          | 0.4667   |
| 0.0292        | 50.0  | 1350 | 4.2103          | 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_rms_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