---
license: apache-2.0
base_model: facebook/deit-tiny-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: hushem_5x_deit_tiny_sgd_0001_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: 0.38095238095238093
---

<!-- 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_tiny_sgd_0001_fold4

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: 1.3803
- Accuracy: 0.3810

## 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: 0.0001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.509         | 1.0   | 28   | 1.6728          | 0.2857   |
| 1.4745        | 2.0   | 56   | 1.6494          | 0.2857   |
| 1.4631        | 3.0   | 84   | 1.6263          | 0.2857   |
| 1.4901        | 4.0   | 112  | 1.6063          | 0.2857   |
| 1.441         | 5.0   | 140  | 1.5891          | 0.2857   |
| 1.4757        | 6.0   | 168  | 1.5714          | 0.2857   |
| 1.4394        | 7.0   | 196  | 1.5560          | 0.2857   |
| 1.4378        | 8.0   | 224  | 1.5417          | 0.2857   |
| 1.4304        | 9.0   | 252  | 1.5286          | 0.2857   |
| 1.455         | 10.0  | 280  | 1.5162          | 0.2857   |
| 1.4518        | 11.0  | 308  | 1.5058          | 0.2857   |
| 1.4092        | 12.0  | 336  | 1.4955          | 0.3095   |
| 1.4226        | 13.0  | 364  | 1.4865          | 0.3095   |
| 1.3993        | 14.0  | 392  | 1.4783          | 0.3095   |
| 1.3967        | 15.0  | 420  | 1.4705          | 0.3095   |
| 1.411         | 16.0  | 448  | 1.4633          | 0.3095   |
| 1.4285        | 17.0  | 476  | 1.4567          | 0.3095   |
| 1.3979        | 18.0  | 504  | 1.4501          | 0.3333   |
| 1.3856        | 19.0  | 532  | 1.4445          | 0.3333   |
| 1.3836        | 20.0  | 560  | 1.4396          | 0.3333   |
| 1.3724        | 21.0  | 588  | 1.4346          | 0.3333   |
| 1.4133        | 22.0  | 616  | 1.4302          | 0.3333   |
| 1.3803        | 23.0  | 644  | 1.4261          | 0.3571   |
| 1.38          | 24.0  | 672  | 1.4220          | 0.3571   |
| 1.3524        | 25.0  | 700  | 1.4181          | 0.3571   |
| 1.3732        | 26.0  | 728  | 1.4145          | 0.3571   |
| 1.3766        | 27.0  | 756  | 1.4110          | 0.3571   |
| 1.3865        | 28.0  | 784  | 1.4081          | 0.3571   |
| 1.3436        | 29.0  | 812  | 1.4052          | 0.3571   |
| 1.3611        | 30.0  | 840  | 1.4024          | 0.3571   |
| 1.3712        | 31.0  | 868  | 1.3999          | 0.3571   |
| 1.3547        | 32.0  | 896  | 1.3975          | 0.3571   |
| 1.3736        | 33.0  | 924  | 1.3953          | 0.3571   |
| 1.3568        | 34.0  | 952  | 1.3933          | 0.3571   |
| 1.3531        | 35.0  | 980  | 1.3914          | 0.3571   |
| 1.3544        | 36.0  | 1008 | 1.3897          | 0.3571   |
| 1.3181        | 37.0  | 1036 | 1.3881          | 0.3571   |
| 1.3538        | 38.0  | 1064 | 1.3867          | 0.3571   |
| 1.3828        | 39.0  | 1092 | 1.3855          | 0.3810   |
| 1.3242        | 40.0  | 1120 | 1.3844          | 0.3810   |
| 1.3519        | 41.0  | 1148 | 1.3834          | 0.3810   |
| 1.3218        | 42.0  | 1176 | 1.3826          | 0.3810   |
| 1.3603        | 43.0  | 1204 | 1.3819          | 0.3810   |
| 1.3249        | 44.0  | 1232 | 1.3813          | 0.3810   |
| 1.3333        | 45.0  | 1260 | 1.3809          | 0.3810   |
| 1.3432        | 46.0  | 1288 | 1.3806          | 0.3810   |
| 1.333         | 47.0  | 1316 | 1.3804          | 0.3810   |
| 1.3303        | 48.0  | 1344 | 1.3803          | 0.3810   |
| 1.3729        | 49.0  | 1372 | 1.3803          | 0.3810   |
| 1.3281        | 50.0  | 1400 | 1.3803          | 0.3810   |


### Framework versions

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