---
license: apache-2.0
base_model: facebook/deit-small-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: hushem_1x_deit_small_sgd_001_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: 0.2558139534883721
---

<!-- 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_small_sgd_001_fold3

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: 1.3255
- Accuracy: 0.2558

## 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    | 1.5642          | 0.2326   |
| 1.4806        | 2.0   | 12   | 1.5332          | 0.3256   |
| 1.4806        | 3.0   | 18   | 1.5110          | 0.3256   |
| 1.4127        | 4.0   | 24   | 1.4910          | 0.3256   |
| 1.3859        | 5.0   | 30   | 1.4734          | 0.3256   |
| 1.3859        | 6.0   | 36   | 1.4581          | 0.3256   |
| 1.372         | 7.0   | 42   | 1.4448          | 0.3256   |
| 1.372         | 8.0   | 48   | 1.4360          | 0.3256   |
| 1.3407        | 9.0   | 54   | 1.4268          | 0.3256   |
| 1.3476        | 10.0  | 60   | 1.4184          | 0.3256   |
| 1.3476        | 11.0  | 66   | 1.4115          | 0.3256   |
| 1.3176        | 12.0  | 72   | 1.4055          | 0.3488   |
| 1.3176        | 13.0  | 78   | 1.3989          | 0.3488   |
| 1.3009        | 14.0  | 84   | 1.3926          | 0.3256   |
| 1.3032        | 15.0  | 90   | 1.3870          | 0.3256   |
| 1.3032        | 16.0  | 96   | 1.3815          | 0.3256   |
| 1.2893        | 17.0  | 102  | 1.3768          | 0.3256   |
| 1.2893        | 18.0  | 108  | 1.3723          | 0.3023   |
| 1.252         | 19.0  | 114  | 1.3680          | 0.3023   |
| 1.2643        | 20.0  | 120  | 1.3638          | 0.3023   |
| 1.2643        | 21.0  | 126  | 1.3601          | 0.2791   |
| 1.2642        | 22.0  | 132  | 1.3567          | 0.2791   |
| 1.2642        | 23.0  | 138  | 1.3535          | 0.2791   |
| 1.2369        | 24.0  | 144  | 1.3502          | 0.2791   |
| 1.2315        | 25.0  | 150  | 1.3476          | 0.2791   |
| 1.2315        | 26.0  | 156  | 1.3450          | 0.2791   |
| 1.2236        | 27.0  | 162  | 1.3424          | 0.2558   |
| 1.2236        | 28.0  | 168  | 1.3403          | 0.2558   |
| 1.2327        | 29.0  | 174  | 1.3382          | 0.2558   |
| 1.2254        | 30.0  | 180  | 1.3363          | 0.2558   |
| 1.2254        | 31.0  | 186  | 1.3347          | 0.2558   |
| 1.2165        | 32.0  | 192  | 1.3331          | 0.2558   |
| 1.2165        | 33.0  | 198  | 1.3315          | 0.2558   |
| 1.2003        | 34.0  | 204  | 1.3303          | 0.2558   |
| 1.2034        | 35.0  | 210  | 1.3292          | 0.2558   |
| 1.2034        | 36.0  | 216  | 1.3282          | 0.2558   |
| 1.2052        | 37.0  | 222  | 1.3273          | 0.2558   |
| 1.2052        | 38.0  | 228  | 1.3266          | 0.2558   |
| 1.2216        | 39.0  | 234  | 1.3261          | 0.2558   |
| 1.2003        | 40.0  | 240  | 1.3258          | 0.2558   |
| 1.2003        | 41.0  | 246  | 1.3256          | 0.2558   |
| 1.1856        | 42.0  | 252  | 1.3255          | 0.2558   |
| 1.1856        | 43.0  | 258  | 1.3255          | 0.2558   |
| 1.2091        | 44.0  | 264  | 1.3255          | 0.2558   |
| 1.1987        | 45.0  | 270  | 1.3255          | 0.2558   |
| 1.1987        | 46.0  | 276  | 1.3255          | 0.2558   |
| 1.1885        | 47.0  | 282  | 1.3255          | 0.2558   |
| 1.1885        | 48.0  | 288  | 1.3255          | 0.2558   |
| 1.2076        | 49.0  | 294  | 1.3255          | 0.2558   |
| 1.2139        | 50.0  | 300  | 1.3255          | 0.2558   |


### Framework versions

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