---
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_sgd_0001_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: 0.3902439024390244
---

<!-- 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_sgd_0001_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: 1.4076
- Accuracy: 0.3902

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5266        | 1.0   | 28   | 1.7430          | 0.2439   |
| 1.4534        | 2.0   | 56   | 1.7173          | 0.2439   |
| 1.4589        | 3.0   | 84   | 1.6934          | 0.2439   |
| 1.4589        | 4.0   | 112  | 1.6722          | 0.2439   |
| 1.4564        | 5.0   | 140  | 1.6529          | 0.2439   |
| 1.475         | 6.0   | 168  | 1.6343          | 0.2439   |
| 1.4209        | 7.0   | 196  | 1.6174          | 0.2439   |
| 1.4499        | 8.0   | 224  | 1.6010          | 0.2439   |
| 1.482         | 9.0   | 252  | 1.5863          | 0.2439   |
| 1.4359        | 10.0  | 280  | 1.5742          | 0.2439   |
| 1.4148        | 11.0  | 308  | 1.5620          | 0.2439   |
| 1.4175        | 12.0  | 336  | 1.5508          | 0.2439   |
| 1.4309        | 13.0  | 364  | 1.5414          | 0.2439   |
| 1.4434        | 14.0  | 392  | 1.5314          | 0.2439   |
| 1.4301        | 15.0  | 420  | 1.5227          | 0.2195   |
| 1.4116        | 16.0  | 448  | 1.5140          | 0.2439   |
| 1.4213        | 17.0  | 476  | 1.5063          | 0.2439   |
| 1.4048        | 18.0  | 504  | 1.4983          | 0.2439   |
| 1.4279        | 19.0  | 532  | 1.4909          | 0.2439   |
| 1.422         | 20.0  | 560  | 1.4842          | 0.2683   |
| 1.3928        | 21.0  | 588  | 1.4779          | 0.2683   |
| 1.3839        | 22.0  | 616  | 1.4719          | 0.2683   |
| 1.393         | 23.0  | 644  | 1.4665          | 0.2683   |
| 1.3889        | 24.0  | 672  | 1.4611          | 0.2683   |
| 1.3853        | 25.0  | 700  | 1.4568          | 0.2927   |
| 1.349         | 26.0  | 728  | 1.4521          | 0.3171   |
| 1.3871        | 27.0  | 756  | 1.4479          | 0.3171   |
| 1.3753        | 28.0  | 784  | 1.4439          | 0.3415   |
| 1.3905        | 29.0  | 812  | 1.4406          | 0.3415   |
| 1.3675        | 30.0  | 840  | 1.4371          | 0.3415   |
| 1.3814        | 31.0  | 868  | 1.4338          | 0.3415   |
| 1.3666        | 32.0  | 896  | 1.4305          | 0.3415   |
| 1.3609        | 33.0  | 924  | 1.4275          | 0.3659   |
| 1.3514        | 34.0  | 952  | 1.4249          | 0.3902   |
| 1.3706        | 35.0  | 980  | 1.4224          | 0.3902   |
| 1.3609        | 36.0  | 1008 | 1.4204          | 0.3902   |
| 1.3195        | 37.0  | 1036 | 1.4184          | 0.3902   |
| 1.3869        | 38.0  | 1064 | 1.4165          | 0.3902   |
| 1.3586        | 39.0  | 1092 | 1.4149          | 0.3902   |
| 1.3675        | 40.0  | 1120 | 1.4134          | 0.3902   |
| 1.3299        | 41.0  | 1148 | 1.4121          | 0.3902   |
| 1.3616        | 42.0  | 1176 | 1.4109          | 0.3902   |
| 1.3801        | 43.0  | 1204 | 1.4099          | 0.3902   |
| 1.3528        | 44.0  | 1232 | 1.4091          | 0.3902   |
| 1.3348        | 45.0  | 1260 | 1.4084          | 0.3902   |
| 1.353         | 46.0  | 1288 | 1.4080          | 0.3902   |
| 1.3488        | 47.0  | 1316 | 1.4077          | 0.3902   |
| 1.3749        | 48.0  | 1344 | 1.4076          | 0.3902   |
| 1.3556        | 49.0  | 1372 | 1.4076          | 0.3902   |
| 1.3606        | 50.0  | 1400 | 1.4076          | 0.3902   |


### Framework versions

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