---
license: apache-2.0
base_model: facebook/deit-tiny-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: hushem_1x_deit_tiny_sgd_lr001_fold3
  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: 0.4186046511627907
---

<!-- 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_1x_deit_tiny_sgd_lr001_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: 1.3137
- Accuracy: 0.4186

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 6    | 1.5163          | 0.3023   |
| 1.6001        | 2.0   | 12   | 1.4936          | 0.3023   |
| 1.6001        | 3.0   | 18   | 1.4729          | 0.3023   |
| 1.5411        | 4.0   | 24   | 1.4550          | 0.3023   |
| 1.4977        | 5.0   | 30   | 1.4401          | 0.3023   |
| 1.4977        | 6.0   | 36   | 1.4267          | 0.3023   |
| 1.4396        | 7.0   | 42   | 1.4159          | 0.3023   |
| 1.4396        | 8.0   | 48   | 1.4066          | 0.3023   |
| 1.4314        | 9.0   | 54   | 1.3991          | 0.3023   |
| 1.3704        | 10.0  | 60   | 1.3909          | 0.3023   |
| 1.3704        | 11.0  | 66   | 1.3847          | 0.3023   |
| 1.3552        | 12.0  | 72   | 1.3793          | 0.3023   |
| 1.3552        | 13.0  | 78   | 1.3735          | 0.3256   |
| 1.3421        | 14.0  | 84   | 1.3686          | 0.3488   |
| 1.3202        | 15.0  | 90   | 1.3638          | 0.3488   |
| 1.3202        | 16.0  | 96   | 1.3593          | 0.3721   |
| 1.2948        | 17.0  | 102  | 1.3558          | 0.3953   |
| 1.2948        | 18.0  | 108  | 1.3518          | 0.3953   |
| 1.2928        | 19.0  | 114  | 1.3488          | 0.3953   |
| 1.2647        | 20.0  | 120  | 1.3454          | 0.3953   |
| 1.2647        | 21.0  | 126  | 1.3427          | 0.3953   |
| 1.2556        | 22.0  | 132  | 1.3402          | 0.3953   |
| 1.2556        | 23.0  | 138  | 1.3379          | 0.3953   |
| 1.253         | 24.0  | 144  | 1.3353          | 0.3953   |
| 1.2437        | 25.0  | 150  | 1.3327          | 0.3953   |
| 1.2437        | 26.0  | 156  | 1.3306          | 0.4186   |
| 1.2239        | 27.0  | 162  | 1.3289          | 0.3953   |
| 1.2239        | 28.0  | 168  | 1.3270          | 0.3953   |
| 1.2275        | 29.0  | 174  | 1.3251          | 0.3953   |
| 1.2028        | 30.0  | 180  | 1.3234          | 0.3953   |
| 1.2028        | 31.0  | 186  | 1.3221          | 0.3953   |
| 1.202         | 32.0  | 192  | 1.3205          | 0.3953   |
| 1.202         | 33.0  | 198  | 1.3191          | 0.3953   |
| 1.194         | 34.0  | 204  | 1.3178          | 0.3953   |
| 1.1993        | 35.0  | 210  | 1.3169          | 0.4186   |
| 1.1993        | 36.0  | 216  | 1.3160          | 0.4186   |
| 1.1904        | 37.0  | 222  | 1.3153          | 0.4186   |
| 1.1904        | 38.0  | 228  | 1.3147          | 0.4186   |
| 1.1785        | 39.0  | 234  | 1.3142          | 0.4186   |
| 1.2086        | 40.0  | 240  | 1.3139          | 0.4186   |
| 1.2086        | 41.0  | 246  | 1.3138          | 0.4186   |
| 1.1893        | 42.0  | 252  | 1.3137          | 0.4186   |
| 1.1893        | 43.0  | 258  | 1.3137          | 0.4186   |
| 1.2           | 44.0  | 264  | 1.3137          | 0.4186   |
| 1.1775        | 45.0  | 270  | 1.3137          | 0.4186   |
| 1.1775        | 46.0  | 276  | 1.3137          | 0.4186   |
| 1.1852        | 47.0  | 282  | 1.3137          | 0.4186   |
| 1.1852        | 48.0  | 288  | 1.3137          | 0.4186   |
| 1.1783        | 49.0  | 294  | 1.3137          | 0.4186   |
| 1.1702        | 50.0  | 300  | 1.3137          | 0.4186   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1