---
license: apache-2.0
base_model: facebook/deit-small-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: hushem_5x_deit_small_sgd_001_fold4
  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: 0.5
---

<!-- 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_small_sgd_001_fold4

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: 1.0586
- Accuracy: 0.5

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.487         | 1.0   | 28   | 1.4172          | 0.3095   |
| 1.4655        | 2.0   | 56   | 1.3829          | 0.3333   |
| 1.3519        | 3.0   | 84   | 1.3645          | 0.2619   |
| 1.3235        | 4.0   | 112  | 1.3524          | 0.2619   |
| 1.3019        | 5.0   | 140  | 1.3421          | 0.2857   |
| 1.2683        | 6.0   | 168  | 1.3287          | 0.2857   |
| 1.2448        | 7.0   | 196  | 1.3147          | 0.2857   |
| 1.2154        | 8.0   | 224  | 1.3011          | 0.2619   |
| 1.1886        | 9.0   | 252  | 1.2876          | 0.3571   |
| 1.1547        | 10.0  | 280  | 1.2739          | 0.3810   |
| 1.1374        | 11.0  | 308  | 1.2618          | 0.3810   |
| 1.1111        | 12.0  | 336  | 1.2488          | 0.3810   |
| 1.1298        | 13.0  | 364  | 1.2398          | 0.4048   |
| 1.0797        | 14.0  | 392  | 1.2302          | 0.4048   |
| 1.0414        | 15.0  | 420  | 1.2217          | 0.4286   |
| 1.061         | 16.0  | 448  | 1.2120          | 0.4286   |
| 1.0634        | 17.0  | 476  | 1.2016          | 0.4524   |
| 1.0054        | 18.0  | 504  | 1.1928          | 0.4524   |
| 0.9762        | 19.0  | 532  | 1.1844          | 0.4524   |
| 1.0106        | 20.0  | 560  | 1.1764          | 0.4524   |
| 0.9235        | 21.0  | 588  | 1.1685          | 0.4524   |
| 0.9458        | 22.0  | 616  | 1.1599          | 0.4762   |
| 0.9326        | 23.0  | 644  | 1.1543          | 0.5      |
| 0.9222        | 24.0  | 672  | 1.1465          | 0.5      |
| 0.8846        | 25.0  | 700  | 1.1391          | 0.5      |
| 0.8795        | 26.0  | 728  | 1.1307          | 0.4762   |
| 0.8711        | 27.0  | 756  | 1.1242          | 0.5238   |
| 0.8921        | 28.0  | 784  | 1.1184          | 0.5238   |
| 0.8796        | 29.0  | 812  | 1.1133          | 0.5238   |
| 0.8567        | 30.0  | 840  | 1.1054          | 0.5238   |
| 0.8632        | 31.0  | 868  | 1.1011          | 0.5238   |
| 0.8179        | 32.0  | 896  | 1.0965          | 0.5238   |
| 0.8418        | 33.0  | 924  | 1.0917          | 0.5238   |
| 0.8097        | 34.0  | 952  | 1.0866          | 0.5238   |
| 0.8474        | 35.0  | 980  | 1.0818          | 0.5238   |
| 0.7989        | 36.0  | 1008 | 1.0776          | 0.5238   |
| 0.7935        | 37.0  | 1036 | 1.0750          | 0.5238   |
| 0.8104        | 38.0  | 1064 | 1.0725          | 0.5238   |
| 0.8018        | 39.0  | 1092 | 1.0698          | 0.5238   |
| 0.797         | 40.0  | 1120 | 1.0673          | 0.5238   |
| 0.8004        | 41.0  | 1148 | 1.0654          | 0.5238   |
| 0.775         | 42.0  | 1176 | 1.0641          | 0.5      |
| 0.7606        | 43.0  | 1204 | 1.0623          | 0.5      |
| 0.7649        | 44.0  | 1232 | 1.0613          | 0.5      |
| 0.7627        | 45.0  | 1260 | 1.0601          | 0.5      |
| 0.7807        | 46.0  | 1288 | 1.0595          | 0.5      |
| 0.7697        | 47.0  | 1316 | 1.0588          | 0.5      |
| 0.7683        | 48.0  | 1344 | 1.0586          | 0.5      |
| 0.783         | 49.0  | 1372 | 1.0586          | 0.5      |
| 0.7862        | 50.0  | 1400 | 1.0586          | 0.5      |


### Framework versions

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