---
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_adamax_001_fold1
  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: 0.4222222222222222
---

<!-- 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_adamax_001_fold1

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: 5.8123
- Accuracy: 0.4222

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3956        | 1.0   | 27   | 1.9737          | 0.3111   |
| 0.888         | 2.0   | 54   | 1.5910          | 0.3556   |
| 1.1183        | 3.0   | 81   | 1.4091          | 0.3778   |
| 0.7709        | 4.0   | 108  | 1.4706          | 0.3778   |
| 0.9892        | 5.0   | 135  | 1.4916          | 0.4222   |
| 0.5847        | 6.0   | 162  | 2.0869          | 0.3778   |
| 0.6569        | 7.0   | 189  | 1.9470          | 0.3556   |
| 0.5263        | 8.0   | 216  | 1.6436          | 0.4      |
| 0.46          | 9.0   | 243  | 2.3342          | 0.3556   |
| 0.4825        | 10.0  | 270  | 1.8564          | 0.4222   |
| 0.3607        | 11.0  | 297  | 2.1004          | 0.4222   |
| 0.2444        | 12.0  | 324  | 2.4392          | 0.4222   |
| 0.3872        | 13.0  | 351  | 1.8032          | 0.4444   |
| 0.3209        | 14.0  | 378  | 2.9763          | 0.4      |
| 0.1884        | 15.0  | 405  | 2.8695          | 0.4667   |
| 0.1329        | 16.0  | 432  | 3.4787          | 0.4      |
| 0.2021        | 17.0  | 459  | 2.9858          | 0.4      |
| 0.1653        | 18.0  | 486  | 3.6825          | 0.4667   |
| 0.0813        | 19.0  | 513  | 3.2825          | 0.4444   |
| 0.1467        | 20.0  | 540  | 3.0809          | 0.4889   |
| 0.0538        | 21.0  | 567  | 3.9816          | 0.4222   |
| 0.1511        | 22.0  | 594  | 3.9404          | 0.4444   |
| 0.0505        | 23.0  | 621  | 4.4773          | 0.4667   |
| 0.0602        | 24.0  | 648  | 3.6484          | 0.4222   |
| 0.0403        | 25.0  | 675  | 4.0392          | 0.4444   |
| 0.005         | 26.0  | 702  | 3.8791          | 0.5556   |
| 0.0725        | 27.0  | 729  | 5.2091          | 0.4222   |
| 0.0084        | 28.0  | 756  | 4.7587          | 0.4222   |
| 0.0002        | 29.0  | 783  | 5.6091          | 0.3778   |
| 0.0001        | 30.0  | 810  | 5.5834          | 0.4222   |
| 0.0004        | 31.0  | 837  | 5.1075          | 0.4      |
| 0.0002        | 32.0  | 864  | 5.0938          | 0.4667   |
| 0.0014        | 33.0  | 891  | 5.4645          | 0.4667   |
| 0.0           | 34.0  | 918  | 5.9402          | 0.4222   |
| 0.0           | 35.0  | 945  | 5.8799          | 0.4222   |
| 0.0           | 36.0  | 972  | 5.8415          | 0.4222   |
| 0.0           | 37.0  | 999  | 5.8263          | 0.4222   |
| 0.0           | 38.0  | 1026 | 5.8129          | 0.4222   |
| 0.0           | 39.0  | 1053 | 5.8088          | 0.4222   |
| 0.0           | 40.0  | 1080 | 5.8085          | 0.4222   |
| 0.0           | 41.0  | 1107 | 5.8075          | 0.4222   |
| 0.0           | 42.0  | 1134 | 5.8084          | 0.4222   |
| 0.0           | 43.0  | 1161 | 5.8094          | 0.4222   |
| 0.0           | 44.0  | 1188 | 5.8109          | 0.4222   |
| 0.0           | 45.0  | 1215 | 5.8113          | 0.4222   |
| 0.0           | 46.0  | 1242 | 5.8120          | 0.4222   |
| 0.0           | 47.0  | 1269 | 5.8119          | 0.4222   |
| 0.0           | 48.0  | 1296 | 5.8123          | 0.4222   |
| 0.0           | 49.0  | 1323 | 5.8123          | 0.4222   |
| 0.0           | 50.0  | 1350 | 5.8123          | 0.4222   |


### Framework versions

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