---
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_rms_001_fold2
  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: 0.35555555555555557
---

<!-- 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_rms_001_fold2

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: 3.6556
- Accuracy: 0.3556

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.0324        | 1.0   | 27   | 1.4564          | 0.2444   |
| 1.4819        | 2.0   | 54   | 1.4327          | 0.2444   |
| 1.4504        | 3.0   | 81   | 1.4455          | 0.2667   |
| 1.4703        | 4.0   | 108  | 1.5353          | 0.2444   |
| 1.4319        | 5.0   | 135  | 1.4161          | 0.2444   |
| 1.4127        | 6.0   | 162  | 1.4083          | 0.2444   |
| 1.424         | 7.0   | 189  | 1.4264          | 0.2667   |
| 1.3928        | 8.0   | 216  | 1.4087          | 0.2889   |
| 1.4183        | 9.0   | 243  | 1.3797          | 0.2667   |
| 1.2937        | 10.0  | 270  | 1.5479          | 0.3333   |
| 1.444         | 11.0  | 297  | 1.4212          | 0.2667   |
| 1.2489        | 12.0  | 324  | 1.3827          | 0.3333   |
| 1.2092        | 13.0  | 351  | 1.4109          | 0.3333   |
| 1.1924        | 14.0  | 378  | 1.3647          | 0.3556   |
| 1.1322        | 15.0  | 405  | 1.4486          | 0.4      |
| 1.059         | 16.0  | 432  | 1.3236          | 0.2889   |
| 1.007         | 17.0  | 459  | 1.5059          | 0.3778   |
| 1.0396        | 18.0  | 486  | 1.8214          | 0.3778   |
| 0.9935        | 19.0  | 513  | 1.6035          | 0.2222   |
| 0.9595        | 20.0  | 540  | 1.8699          | 0.3111   |
| 0.9315        | 21.0  | 567  | 1.9455          | 0.2889   |
| 0.9127        | 22.0  | 594  | 1.9720          | 0.1778   |
| 0.9141        | 23.0  | 621  | 1.8863          | 0.4222   |
| 0.8941        | 24.0  | 648  | 2.4630          | 0.2444   |
| 0.861         | 25.0  | 675  | 2.3990          | 0.2      |
| 0.8474        | 26.0  | 702  | 2.1204          | 0.3556   |
| 0.7937        | 27.0  | 729  | 2.7394          | 0.3556   |
| 0.7958        | 28.0  | 756  | 2.5648          | 0.2      |
| 0.7373        | 29.0  | 783  | 2.5253          | 0.3778   |
| 0.7358        | 30.0  | 810  | 2.5059          | 0.3778   |
| 0.691         | 31.0  | 837  | 2.3895          | 0.4222   |
| 0.7103        | 32.0  | 864  | 2.5414          | 0.4222   |
| 0.6539        | 33.0  | 891  | 3.0204          | 0.3333   |
| 0.6275        | 34.0  | 918  | 2.6245          | 0.3778   |
| 0.5921        | 35.0  | 945  | 3.2133          | 0.2667   |
| 0.5912        | 36.0  | 972  | 3.5251          | 0.2667   |
| 0.5547        | 37.0  | 999  | 3.3775          | 0.2889   |
| 0.4976        | 38.0  | 1026 | 3.1294          | 0.4      |
| 0.4303        | 39.0  | 1053 | 3.2846          | 0.3778   |
| 0.3956        | 40.0  | 1080 | 3.2354          | 0.4444   |
| 0.3999        | 41.0  | 1107 | 3.0834          | 0.4667   |
| 0.3745        | 42.0  | 1134 | 3.3561          | 0.3333   |
| 0.3219        | 43.0  | 1161 | 3.3246          | 0.3333   |
| 0.2571        | 44.0  | 1188 | 3.4952          | 0.3556   |
| 0.2544        | 45.0  | 1215 | 3.6528          | 0.3778   |
| 0.2048        | 46.0  | 1242 | 3.6814          | 0.3333   |
| 0.2017        | 47.0  | 1269 | 3.5396          | 0.3778   |
| 0.1409        | 48.0  | 1296 | 3.6629          | 0.3556   |
| 0.1528        | 49.0  | 1323 | 3.6556          | 0.3556   |
| 0.122         | 50.0  | 1350 | 3.6556          | 0.3556   |


### Framework versions

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