---
license: apache-2.0
base_model: facebook/deit-base-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: hushem_5x_deit_base_sgd_001_fold5
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: imagefolder
      type: imagefolder
      config: default
      split: test
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.5853658536585366
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# hushem_5x_deit_base_sgd_001_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: 1.0680
- Accuracy: 0.5854

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4163        | 1.0   | 28   | 1.3604          | 0.1951   |
| 1.3947        | 2.0   | 56   | 1.3473          | 0.2195   |
| 1.3604        | 3.0   | 84   | 1.3349          | 0.2683   |
| 1.3392        | 4.0   | 112  | 1.3241          | 0.2927   |
| 1.3444        | 5.0   | 140  | 1.3143          | 0.3171   |
| 1.3238        | 6.0   | 168  | 1.3050          | 0.3415   |
| 1.3103        | 7.0   | 196  | 1.2955          | 0.3659   |
| 1.2905        | 8.0   | 224  | 1.2862          | 0.3902   |
| 1.2713        | 9.0   | 252  | 1.2769          | 0.4146   |
| 1.2521        | 10.0  | 280  | 1.2674          | 0.4390   |
| 1.2419        | 11.0  | 308  | 1.2580          | 0.4390   |
| 1.2274        | 12.0  | 336  | 1.2492          | 0.4634   |
| 1.2017        | 13.0  | 364  | 1.2403          | 0.5122   |
| 1.2089        | 14.0  | 392  | 1.2314          | 0.5366   |
| 1.1882        | 15.0  | 420  | 1.2229          | 0.5366   |
| 1.1838        | 16.0  | 448  | 1.2144          | 0.5610   |
| 1.1566        | 17.0  | 476  | 1.2059          | 0.5610   |
| 1.1584        | 18.0  | 504  | 1.1980          | 0.6098   |
| 1.1748        | 19.0  | 532  | 1.1896          | 0.6098   |
| 1.1362        | 20.0  | 560  | 1.1817          | 0.6098   |
| 1.1338        | 21.0  | 588  | 1.1741          | 0.5854   |
| 1.1033        | 22.0  | 616  | 1.1667          | 0.5854   |
| 1.0957        | 23.0  | 644  | 1.1590          | 0.5854   |
| 1.0836        | 24.0  | 672  | 1.1521          | 0.5854   |
| 1.0697        | 25.0  | 700  | 1.1452          | 0.5610   |
| 1.078         | 26.0  | 728  | 1.1389          | 0.5366   |
| 1.0636        | 27.0  | 756  | 1.1332          | 0.5610   |
| 1.0604        | 28.0  | 784  | 1.1274          | 0.5366   |
| 1.0075        | 29.0  | 812  | 1.1217          | 0.5610   |
| 1.0554        | 30.0  | 840  | 1.1163          | 0.5610   |
| 1.0238        | 31.0  | 868  | 1.1110          | 0.5610   |
| 0.9869        | 32.0  | 896  | 1.1060          | 0.5854   |
| 0.9963        | 33.0  | 924  | 1.1019          | 0.5610   |
| 1.0156        | 34.0  | 952  | 1.0973          | 0.5854   |
| 0.9827        | 35.0  | 980  | 1.0931          | 0.5854   |
| 0.9853        | 36.0  | 1008 | 1.0896          | 0.5854   |
| 0.9677        | 37.0  | 1036 | 1.0862          | 0.5854   |
| 0.9703        | 38.0  | 1064 | 1.0831          | 0.5854   |
| 0.9924        | 39.0  | 1092 | 1.0803          | 0.5854   |
| 0.9509        | 40.0  | 1120 | 1.0778          | 0.5854   |
| 0.9744        | 41.0  | 1148 | 1.0755          | 0.5854   |
| 0.957         | 42.0  | 1176 | 1.0735          | 0.5854   |
| 0.958         | 43.0  | 1204 | 1.0718          | 0.5854   |
| 0.965         | 44.0  | 1232 | 1.0705          | 0.5854   |
| 0.9524        | 45.0  | 1260 | 1.0695          | 0.5854   |
| 0.9551        | 46.0  | 1288 | 1.0687          | 0.5854   |
| 0.9588        | 47.0  | 1316 | 1.0682          | 0.5854   |
| 0.9894        | 48.0  | 1344 | 1.0680          | 0.5854   |
| 0.9401        | 49.0  | 1372 | 1.0680          | 0.5854   |
| 0.9662        | 50.0  | 1400 | 1.0680          | 0.5854   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0