---
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_sgd_001_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: 0.36585365853658536
---

<!-- 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_sgd_001_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: 1.2764
- Accuracy: 0.3659

## 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    | 1.6481          | 0.2439   |
| 1.6453        | 2.0   | 12   | 1.5595          | 0.2439   |
| 1.6453        | 3.0   | 18   | 1.4979          | 0.2683   |
| 1.5144        | 4.0   | 24   | 1.4546          | 0.2683   |
| 1.4538        | 5.0   | 30   | 1.4262          | 0.2927   |
| 1.4538        | 6.0   | 36   | 1.4074          | 0.2683   |
| 1.3994        | 7.0   | 42   | 1.3954          | 0.2683   |
| 1.3994        | 8.0   | 48   | 1.3847          | 0.2683   |
| 1.3731        | 9.0   | 54   | 1.3749          | 0.2683   |
| 1.3564        | 10.0  | 60   | 1.3671          | 0.2927   |
| 1.3564        | 11.0  | 66   | 1.3612          | 0.3415   |
| 1.3402        | 12.0  | 72   | 1.3541          | 0.3659   |
| 1.3402        | 13.0  | 78   | 1.3472          | 0.3171   |
| 1.2912        | 14.0  | 84   | 1.3416          | 0.3171   |
| 1.304         | 15.0  | 90   | 1.3360          | 0.2927   |
| 1.304         | 16.0  | 96   | 1.3318          | 0.3171   |
| 1.267         | 17.0  | 102  | 1.3278          | 0.3171   |
| 1.267         | 18.0  | 108  | 1.3225          | 0.3171   |
| 1.2687        | 19.0  | 114  | 1.3187          | 0.3415   |
| 1.2447        | 20.0  | 120  | 1.3147          | 0.3415   |
| 1.2447        | 21.0  | 126  | 1.3131          | 0.3171   |
| 1.2262        | 22.0  | 132  | 1.3086          | 0.3171   |
| 1.2262        | 23.0  | 138  | 1.3054          | 0.3171   |
| 1.2132        | 24.0  | 144  | 1.3031          | 0.3171   |
| 1.2231        | 25.0  | 150  | 1.3007          | 0.3171   |
| 1.2231        | 26.0  | 156  | 1.2974          | 0.3171   |
| 1.1895        | 27.0  | 162  | 1.2937          | 0.3171   |
| 1.1895        | 28.0  | 168  | 1.2903          | 0.3415   |
| 1.2062        | 29.0  | 174  | 1.2886          | 0.3415   |
| 1.1907        | 30.0  | 180  | 1.2864          | 0.3415   |
| 1.1907        | 31.0  | 186  | 1.2852          | 0.3415   |
| 1.1836        | 32.0  | 192  | 1.2832          | 0.3415   |
| 1.1836        | 33.0  | 198  | 1.2819          | 0.3415   |
| 1.1632        | 34.0  | 204  | 1.2802          | 0.3415   |
| 1.1553        | 35.0  | 210  | 1.2792          | 0.3659   |
| 1.1553        | 36.0  | 216  | 1.2784          | 0.3659   |
| 1.1703        | 37.0  | 222  | 1.2777          | 0.3659   |
| 1.1703        | 38.0  | 228  | 1.2771          | 0.3659   |
| 1.1625        | 39.0  | 234  | 1.2768          | 0.3659   |
| 1.1523        | 40.0  | 240  | 1.2765          | 0.3659   |
| 1.1523        | 41.0  | 246  | 1.2764          | 0.3659   |
| 1.1617        | 42.0  | 252  | 1.2764          | 0.3659   |
| 1.1617        | 43.0  | 258  | 1.2764          | 0.3659   |
| 1.1427        | 44.0  | 264  | 1.2764          | 0.3659   |
| 1.1631        | 45.0  | 270  | 1.2764          | 0.3659   |
| 1.1631        | 46.0  | 276  | 1.2764          | 0.3659   |
| 1.162         | 47.0  | 282  | 1.2764          | 0.3659   |
| 1.162         | 48.0  | 288  | 1.2764          | 0.3659   |
| 1.1542        | 49.0  | 294  | 1.2764          | 0.3659   |
| 1.1633        | 50.0  | 300  | 1.2764          | 0.3659   |


### Framework versions

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