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# hushem_40x_deit_small_sgd_00001_fold1

This model is a fine-tuned version of [facebook/deit-small-patch16-224](https://huggingface.co/facebook/deit-small-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4582
- Accuracy: 0.2444

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 2.0145        | 1.0   | 215   | 1.6167          | 0.2444   |
| 1.9528        | 2.0   | 430   | 1.6051          | 0.2444   |
| 1.8549        | 3.0   | 645   | 1.5941          | 0.2444   |
| 1.9735        | 4.0   | 860   | 1.5837          | 0.2444   |
| 1.8613        | 5.0   | 1075  | 1.5740          | 0.2444   |
| 1.8998        | 6.0   | 1290  | 1.5649          | 0.2667   |
| 1.9805        | 7.0   | 1505  | 1.5563          | 0.2667   |
| 1.7761        | 8.0   | 1720  | 1.5483          | 0.2444   |
| 1.8452        | 9.0   | 1935  | 1.5408          | 0.2222   |
| 1.7743        | 10.0  | 2150  | 1.5338          | 0.2222   |
| 1.7542        | 11.0  | 2365  | 1.5272          | 0.2222   |
| 1.7225        | 12.0  | 2580  | 1.5212          | 0.2222   |
| 1.7844        | 13.0  | 2795  | 1.5156          | 0.2222   |
| 1.7312        | 14.0  | 3010  | 1.5104          | 0.2444   |
| 1.766         | 15.0  | 3225  | 1.5056          | 0.2222   |
| 1.6922        | 16.0  | 3440  | 1.5012          | 0.2222   |
| 1.6889        | 17.0  | 3655  | 1.4971          | 0.2222   |
| 1.6643        | 18.0  | 3870  | 1.4934          | 0.2      |
| 1.6328        | 19.0  | 4085  | 1.4899          | 0.2222   |
| 1.6408        | 20.0  | 4300  | 1.4868          | 0.2222   |
| 1.5927        | 21.0  | 4515  | 1.4839          | 0.2222   |
| 1.6137        | 22.0  | 4730  | 1.4813          | 0.2      |
| 1.623         | 23.0  | 4945  | 1.4789          | 0.1778   |
| 1.5692        | 24.0  | 5160  | 1.4767          | 0.1778   |
| 1.5514        | 25.0  | 5375  | 1.4747          | 0.1778   |
| 1.5483        | 26.0  | 5590  | 1.4729          | 0.2222   |
| 1.571         | 27.0  | 5805  | 1.4713          | 0.2222   |
| 1.5882        | 28.0  | 6020  | 1.4698          | 0.2222   |
| 1.524         | 29.0  | 6235  | 1.4684          | 0.2222   |
| 1.5611        | 30.0  | 6450  | 1.4672          | 0.2222   |
| 1.5511        | 31.0  | 6665  | 1.4661          | 0.2222   |
| 1.5655        | 32.0  | 6880  | 1.4650          | 0.2222   |
| 1.5736        | 33.0  | 7095  | 1.4641          | 0.2222   |
| 1.5317        | 34.0  | 7310  | 1.4633          | 0.2222   |
| 1.5555        | 35.0  | 7525  | 1.4625          | 0.2222   |
| 1.5608        | 36.0  | 7740  | 1.4619          | 0.2222   |
| 1.5011        | 37.0  | 7955  | 1.4612          | 0.2222   |
| 1.5571        | 38.0  | 8170  | 1.4607          | 0.2444   |
| 1.4975        | 39.0  | 8385  | 1.4602          | 0.2444   |
| 1.4908        | 40.0  | 8600  | 1.4598          | 0.2444   |
| 1.5291        | 41.0  | 8815  | 1.4595          | 0.2444   |
| 1.52          | 42.0  | 9030  | 1.4592          | 0.2444   |
| 1.5041        | 43.0  | 9245  | 1.4589          | 0.2444   |
| 1.5102        | 44.0  | 9460  | 1.4587          | 0.2444   |
| 1.5245        | 45.0  | 9675  | 1.4585          | 0.2444   |
| 1.4992        | 46.0  | 9890  | 1.4584          | 0.2444   |
| 1.4976        | 47.0  | 10105 | 1.4583          | 0.2444   |
| 1.5255        | 48.0  | 10320 | 1.4582          | 0.2444   |
| 1.4826        | 49.0  | 10535 | 1.4582          | 0.2444   |
| 1.5224        | 50.0  | 10750 | 1.4582          | 0.2444   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/deit-small-patch16-224", "model-index": [{"name": "hushem_40x_deit_small_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": 0.24444444444444444, "name": "Accuracy"}]}]}]}
transformers pytorch vit image-classification generated_from_trainer dataset:imagefolder base_model:facebook/deit-small-patch16-224 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us