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---
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_adamax_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: 0.6190476190476191
---

<!-- 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_adamax_001_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: 2.7093
- Accuracy: 0.6190

## 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    | 1.4186          | 0.2619   |
| 1.7828        | 2.0   | 12   | 1.5668          | 0.2381   |
| 1.7828        | 3.0   | 18   | 1.3464          | 0.2619   |
| 1.4289        | 4.0   | 24   | 1.2387          | 0.2857   |
| 1.3071        | 5.0   | 30   | 1.0086          | 0.5952   |
| 1.3071        | 6.0   | 36   | 1.1662          | 0.3333   |
| 1.1964        | 7.0   | 42   | 1.2853          | 0.4286   |
| 1.1964        | 8.0   | 48   | 1.2187          | 0.3333   |
| 1.0152        | 9.0   | 54   | 0.8730          | 0.6190   |
| 0.7906        | 10.0  | 60   | 0.9343          | 0.5714   |
| 0.7906        | 11.0  | 66   | 1.6411          | 0.5      |
| 0.5517        | 12.0  | 72   | 2.1397          | 0.3095   |
| 0.5517        | 13.0  | 78   | 1.0282          | 0.5476   |
| 0.856         | 14.0  | 84   | 1.1613          | 0.4762   |
| 0.4273        | 15.0  | 90   | 1.2606          | 0.5476   |
| 0.4273        | 16.0  | 96   | 1.4223          | 0.5952   |
| 0.2649        | 17.0  | 102  | 1.5904          | 0.6429   |
| 0.2649        | 18.0  | 108  | 2.3346          | 0.5714   |
| 0.1584        | 19.0  | 114  | 2.4890          | 0.5476   |
| 0.1352        | 20.0  | 120  | 2.2551          | 0.5476   |
| 0.1352        | 21.0  | 126  | 1.7877          | 0.5714   |
| 0.1303        | 22.0  | 132  | 2.3533          | 0.5714   |
| 0.1303        | 23.0  | 138  | 2.3850          | 0.5714   |
| 0.0457        | 24.0  | 144  | 2.3656          | 0.6667   |
| 0.0031        | 25.0  | 150  | 2.3202          | 0.6190   |
| 0.0031        | 26.0  | 156  | 2.4368          | 0.6667   |
| 0.0014        | 27.0  | 162  | 2.5601          | 0.6429   |
| 0.0014        | 28.0  | 168  | 2.6475          | 0.6667   |
| 0.0004        | 29.0  | 174  | 2.7011          | 0.6667   |
| 0.0002        | 30.0  | 180  | 2.7227          | 0.6429   |
| 0.0002        | 31.0  | 186  | 2.7312          | 0.6429   |
| 0.0002        | 32.0  | 192  | 2.7259          | 0.6429   |
| 0.0002        | 33.0  | 198  | 2.7193          | 0.6429   |
| 0.0001        | 34.0  | 204  | 2.7128          | 0.6429   |
| 0.0001        | 35.0  | 210  | 2.7095          | 0.6429   |
| 0.0001        | 36.0  | 216  | 2.7084          | 0.6429   |
| 0.0001        | 37.0  | 222  | 2.7078          | 0.6429   |
| 0.0001        | 38.0  | 228  | 2.7079          | 0.6429   |
| 0.0001        | 39.0  | 234  | 2.7085          | 0.6429   |
| 0.0001        | 40.0  | 240  | 2.7091          | 0.6190   |
| 0.0001        | 41.0  | 246  | 2.7093          | 0.6190   |
| 0.0001        | 42.0  | 252  | 2.7093          | 0.6190   |
| 0.0001        | 43.0  | 258  | 2.7093          | 0.6190   |
| 0.0001        | 44.0  | 264  | 2.7093          | 0.6190   |
| 0.0001        | 45.0  | 270  | 2.7093          | 0.6190   |
| 0.0001        | 46.0  | 276  | 2.7093          | 0.6190   |
| 0.0001        | 47.0  | 282  | 2.7093          | 0.6190   |
| 0.0001        | 48.0  | 288  | 2.7093          | 0.6190   |
| 0.0001        | 49.0  | 294  | 2.7093          | 0.6190   |
| 0.0001        | 50.0  | 300  | 2.7093          | 0.6190   |


### Framework versions

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