---
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_rms_lr0001_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: 0.5609756097560976
---

<!-- 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_rms_lr0001_fold5

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: 2.1537
- Accuracy: 0.5610

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 6    | 1.5741          | 0.2683   |
| 1.8922        | 2.0   | 12   | 1.3978          | 0.2683   |
| 1.8922        | 3.0   | 18   | 1.4032          | 0.2439   |
| 1.5101        | 4.0   | 24   | 1.4021          | 0.2683   |
| 1.38          | 5.0   | 30   | 2.1528          | 0.2439   |
| 1.38          | 6.0   | 36   | 1.4141          | 0.2439   |
| 1.4096        | 7.0   | 42   | 1.2484          | 0.4390   |
| 1.4096        | 8.0   | 48   | 1.2607          | 0.4390   |
| 1.2381        | 9.0   | 54   | 0.9950          | 0.5366   |
| 1.1539        | 10.0  | 60   | 1.0350          | 0.5610   |
| 1.1539        | 11.0  | 66   | 1.2716          | 0.3415   |
| 0.9039        | 12.0  | 72   | 1.0596          | 0.5854   |
| 0.9039        | 13.0  | 78   | 1.5972          | 0.4146   |
| 0.6191        | 14.0  | 84   | 1.9855          | 0.4390   |
| 0.4358        | 15.0  | 90   | 1.2403          | 0.4878   |
| 0.4358        | 16.0  | 96   | 2.3374          | 0.4390   |
| 0.2291        | 17.0  | 102  | 1.5475          | 0.4390   |
| 0.2291        | 18.0  | 108  | 1.2789          | 0.6341   |
| 0.1203        | 19.0  | 114  | 1.8441          | 0.4390   |
| 0.0604        | 20.0  | 120  | 1.7948          | 0.4878   |
| 0.0604        | 21.0  | 126  | 2.0211          | 0.4634   |
| 0.0322        | 22.0  | 132  | 1.8178          | 0.5366   |
| 0.0322        | 23.0  | 138  | 2.0950          | 0.4878   |
| 0.017         | 24.0  | 144  | 2.0410          | 0.5122   |
| 0.0011        | 25.0  | 150  | 2.0405          | 0.5122   |
| 0.0011        | 26.0  | 156  | 2.0495          | 0.5122   |
| 0.0007        | 27.0  | 162  | 2.0594          | 0.5122   |
| 0.0007        | 28.0  | 168  | 2.0747          | 0.5122   |
| 0.0006        | 29.0  | 174  | 2.0825          | 0.5610   |
| 0.0005        | 30.0  | 180  | 2.0915          | 0.5610   |
| 0.0005        | 31.0  | 186  | 2.1017          | 0.5610   |
| 0.0004        | 32.0  | 192  | 2.1110          | 0.5610   |
| 0.0004        | 33.0  | 198  | 2.1199          | 0.5610   |
| 0.0004        | 34.0  | 204  | 2.1276          | 0.5610   |
| 0.0004        | 35.0  | 210  | 2.1335          | 0.5610   |
| 0.0004        | 36.0  | 216  | 2.1398          | 0.5610   |
| 0.0004        | 37.0  | 222  | 2.1439          | 0.5610   |
| 0.0004        | 38.0  | 228  | 2.1473          | 0.5610   |
| 0.0003        | 39.0  | 234  | 2.1497          | 0.5610   |
| 0.0003        | 40.0  | 240  | 2.1519          | 0.5610   |
| 0.0003        | 41.0  | 246  | 2.1532          | 0.5610   |
| 0.0003        | 42.0  | 252  | 2.1537          | 0.5610   |
| 0.0003        | 43.0  | 258  | 2.1537          | 0.5610   |
| 0.0003        | 44.0  | 264  | 2.1537          | 0.5610   |
| 0.0003        | 45.0  | 270  | 2.1537          | 0.5610   |
| 0.0003        | 46.0  | 276  | 2.1537          | 0.5610   |
| 0.0003        | 47.0  | 282  | 2.1537          | 0.5610   |
| 0.0003        | 48.0  | 288  | 2.1537          | 0.5610   |
| 0.0003        | 49.0  | 294  | 2.1537          | 0.5610   |
| 0.0003        | 50.0  | 300  | 2.1537          | 0.5610   |


### Framework versions

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