---
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_lr001_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: 0.47619047619047616
---

<!-- 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_lr001_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: 1.2453
- Accuracy: 0.4762

## 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    | 1.5316          | 0.1905   |
| 1.5831        | 2.0   | 12   | 1.5015          | 0.1905   |
| 1.5831        | 3.0   | 18   | 1.4762          | 0.1667   |
| 1.5346        | 4.0   | 24   | 1.4541          | 0.1905   |
| 1.5081        | 5.0   | 30   | 1.4366          | 0.2381   |
| 1.5081        | 6.0   | 36   | 1.4200          | 0.2857   |
| 1.4598        | 7.0   | 42   | 1.4054          | 0.2857   |
| 1.4598        | 8.0   | 48   | 1.3912          | 0.2857   |
| 1.4326        | 9.0   | 54   | 1.3788          | 0.3095   |
| 1.3952        | 10.0  | 60   | 1.3675          | 0.3571   |
| 1.3952        | 11.0  | 66   | 1.3571          | 0.3810   |
| 1.3596        | 12.0  | 72   | 1.3480          | 0.3810   |
| 1.3596        | 13.0  | 78   | 1.3393          | 0.3810   |
| 1.363         | 14.0  | 84   | 1.3316          | 0.3810   |
| 1.3301        | 15.0  | 90   | 1.3251          | 0.4048   |
| 1.3301        | 16.0  | 96   | 1.3178          | 0.4048   |
| 1.3095        | 17.0  | 102  | 1.3113          | 0.4048   |
| 1.3095        | 18.0  | 108  | 1.3061          | 0.4048   |
| 1.3044        | 19.0  | 114  | 1.3014          | 0.4048   |
| 1.2995        | 20.0  | 120  | 1.2970          | 0.4048   |
| 1.2995        | 21.0  | 126  | 1.2921          | 0.4048   |
| 1.2717        | 22.0  | 132  | 1.2882          | 0.4048   |
| 1.2717        | 23.0  | 138  | 1.2838          | 0.4048   |
| 1.2926        | 24.0  | 144  | 1.2801          | 0.4048   |
| 1.2458        | 25.0  | 150  | 1.2760          | 0.4048   |
| 1.2458        | 26.0  | 156  | 1.2723          | 0.4286   |
| 1.2592        | 27.0  | 162  | 1.2686          | 0.4286   |
| 1.2592        | 28.0  | 168  | 1.2659          | 0.4286   |
| 1.2355        | 29.0  | 174  | 1.2631          | 0.4286   |
| 1.2526        | 30.0  | 180  | 1.2605          | 0.4286   |
| 1.2526        | 31.0  | 186  | 1.2579          | 0.4524   |
| 1.2439        | 32.0  | 192  | 1.2557          | 0.4524   |
| 1.2439        | 33.0  | 198  | 1.2536          | 0.4524   |
| 1.1949        | 34.0  | 204  | 1.2519          | 0.4524   |
| 1.2285        | 35.0  | 210  | 1.2501          | 0.4524   |
| 1.2285        | 36.0  | 216  | 1.2488          | 0.4524   |
| 1.2118        | 37.0  | 222  | 1.2477          | 0.4524   |
| 1.2118        | 38.0  | 228  | 1.2468          | 0.4762   |
| 1.2136        | 39.0  | 234  | 1.2462          | 0.4762   |
| 1.2259        | 40.0  | 240  | 1.2457          | 0.4762   |
| 1.2259        | 41.0  | 246  | 1.2454          | 0.4762   |
| 1.2204        | 42.0  | 252  | 1.2453          | 0.4762   |
| 1.2204        | 43.0  | 258  | 1.2453          | 0.4762   |
| 1.2061        | 44.0  | 264  | 1.2453          | 0.4762   |
| 1.2146        | 45.0  | 270  | 1.2453          | 0.4762   |
| 1.2146        | 46.0  | 276  | 1.2453          | 0.4762   |
| 1.2137        | 47.0  | 282  | 1.2453          | 0.4762   |
| 1.2137        | 48.0  | 288  | 1.2453          | 0.4762   |
| 1.2227        | 49.0  | 294  | 1.2453          | 0.4762   |
| 1.2027        | 50.0  | 300  | 1.2453          | 0.4762   |


### Framework versions

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