---
license: apache-2.0
base_model: facebook/deit-base-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: hushem_1x_deit_base_rms_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: 0.5714285714285714
---

<!-- 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_base_rms_001_fold4

This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2820
- Accuracy: 0.5714

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 6    | 6.4622          | 0.2381   |
| 4.4464        | 2.0   | 12   | 3.3632          | 0.2381   |
| 4.4464        | 3.0   | 18   | 1.7517          | 0.2619   |
| 2.081         | 4.0   | 24   | 1.7192          | 0.2381   |
| 1.6572        | 5.0   | 30   | 1.4331          | 0.2619   |
| 1.6572        | 6.0   | 36   | 1.7438          | 0.2381   |
| 1.515         | 7.0   | 42   | 1.5334          | 0.2381   |
| 1.515         | 8.0   | 48   | 1.4427          | 0.2619   |
| 1.4729        | 9.0   | 54   | 1.4737          | 0.2619   |
| 1.4733        | 10.0  | 60   | 1.3911          | 0.2381   |
| 1.4733        | 11.0  | 66   | 1.4837          | 0.2619   |
| 1.4345        | 12.0  | 72   | 1.3420          | 0.3333   |
| 1.4345        | 13.0  | 78   | 1.3532          | 0.3095   |
| 1.37          | 14.0  | 84   | 1.2042          | 0.5714   |
| 1.3487        | 15.0  | 90   | 1.2734          | 0.3095   |
| 1.3487        | 16.0  | 96   | 1.1311          | 0.4286   |
| 1.2658        | 17.0  | 102  | 1.1548          | 0.4762   |
| 1.2658        | 18.0  | 108  | 1.2031          | 0.3571   |
| 1.2896        | 19.0  | 114  | 1.2313          | 0.4762   |
| 1.2598        | 20.0  | 120  | 1.3330          | 0.3810   |
| 1.2598        | 21.0  | 126  | 1.1274          | 0.5238   |
| 1.2329        | 22.0  | 132  | 1.2033          | 0.5238   |
| 1.2329        | 23.0  | 138  | 1.1130          | 0.5      |
| 1.2013        | 24.0  | 144  | 1.1588          | 0.5      |
| 1.1821        | 25.0  | 150  | 1.3546          | 0.3810   |
| 1.1821        | 26.0  | 156  | 1.1188          | 0.4524   |
| 1.1779        | 27.0  | 162  | 1.1678          | 0.3571   |
| 1.1779        | 28.0  | 168  | 1.2401          | 0.3333   |
| 1.1114        | 29.0  | 174  | 1.0781          | 0.5476   |
| 1.1371        | 30.0  | 180  | 1.0969          | 0.5476   |
| 1.1371        | 31.0  | 186  | 1.2482          | 0.4762   |
| 1.0827        | 32.0  | 192  | 1.0695          | 0.5      |
| 1.0827        | 33.0  | 198  | 1.2349          | 0.4762   |
| 1.1051        | 34.0  | 204  | 1.1006          | 0.5238   |
| 1.0196        | 35.0  | 210  | 1.0684          | 0.5476   |
| 1.0196        | 36.0  | 216  | 0.9937          | 0.5238   |
| 1.0022        | 37.0  | 222  | 1.2962          | 0.5238   |
| 1.0022        | 38.0  | 228  | 1.0911          | 0.5476   |
| 0.9974        | 39.0  | 234  | 1.1681          | 0.5      |
| 0.9742        | 40.0  | 240  | 1.3925          | 0.5476   |
| 0.9742        | 41.0  | 246  | 1.2876          | 0.5714   |
| 0.9338        | 42.0  | 252  | 1.2820          | 0.5714   |
| 0.9338        | 43.0  | 258  | 1.2820          | 0.5714   |
| 0.8995        | 44.0  | 264  | 1.2820          | 0.5714   |
| 0.9368        | 45.0  | 270  | 1.2820          | 0.5714   |
| 0.9368        | 46.0  | 276  | 1.2820          | 0.5714   |
| 0.9236        | 47.0  | 282  | 1.2820          | 0.5714   |
| 0.9236        | 48.0  | 288  | 1.2820          | 0.5714   |
| 0.929         | 49.0  | 294  | 1.2820          | 0.5714   |
| 0.9198        | 50.0  | 300  | 1.2820          | 0.5714   |


### Framework versions

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