---
license: apache-2.0
base_model: facebook/deit-base-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: hushem_5x_deit_base_adamax_00001_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: 0.9285714285714286
---

<!-- 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_base_adamax_00001_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: 0.2070
- Accuracy: 0.9286

## 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: 1e-05
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2779        | 1.0   | 28   | 1.2578          | 0.5      |
| 0.9904        | 2.0   | 56   | 1.0864          | 0.5952   |
| 0.7136        | 3.0   | 84   | 0.8757          | 0.7381   |
| 0.5283        | 4.0   | 112  | 0.7271          | 0.8095   |
| 0.3401        | 5.0   | 140  | 0.5900          | 0.8333   |
| 0.2667        | 6.0   | 168  | 0.4970          | 0.8571   |
| 0.1719        | 7.0   | 196  | 0.4291          | 0.8810   |
| 0.1351        | 8.0   | 224  | 0.3736          | 0.8810   |
| 0.0756        | 9.0   | 252  | 0.3239          | 0.8571   |
| 0.0457        | 10.0  | 280  | 0.2724          | 0.9286   |
| 0.0311        | 11.0  | 308  | 0.2513          | 0.9286   |
| 0.0183        | 12.0  | 336  | 0.2397          | 0.9524   |
| 0.0115        | 13.0  | 364  | 0.2242          | 0.9286   |
| 0.0092        | 14.0  | 392  | 0.2124          | 0.9286   |
| 0.0064        | 15.0  | 420  | 0.2027          | 0.9286   |
| 0.0052        | 16.0  | 448  | 0.2099          | 0.9286   |
| 0.0048        | 17.0  | 476  | 0.2208          | 0.9286   |
| 0.0041        | 18.0  | 504  | 0.2156          | 0.9286   |
| 0.0036        | 19.0  | 532  | 0.2081          | 0.9286   |
| 0.0034        | 20.0  | 560  | 0.2100          | 0.9286   |
| 0.003         | 21.0  | 588  | 0.2099          | 0.9286   |
| 0.0028        | 22.0  | 616  | 0.2113          | 0.9286   |
| 0.0024        | 23.0  | 644  | 0.2110          | 0.9286   |
| 0.0023        | 24.0  | 672  | 0.2106          | 0.9286   |
| 0.0022        | 25.0  | 700  | 0.2101          | 0.9286   |
| 0.002         | 26.0  | 728  | 0.2088          | 0.9286   |
| 0.002         | 27.0  | 756  | 0.2066          | 0.9286   |
| 0.0018        | 28.0  | 784  | 0.2096          | 0.9286   |
| 0.0018        | 29.0  | 812  | 0.2064          | 0.9286   |
| 0.0016        | 30.0  | 840  | 0.2088          | 0.9286   |
| 0.0016        | 31.0  | 868  | 0.2088          | 0.9286   |
| 0.0015        | 32.0  | 896  | 0.2078          | 0.9286   |
| 0.0015        | 33.0  | 924  | 0.2057          | 0.9286   |
| 0.0014        | 34.0  | 952  | 0.2073          | 0.9286   |
| 0.0014        | 35.0  | 980  | 0.2070          | 0.9286   |
| 0.0014        | 36.0  | 1008 | 0.2069          | 0.9286   |
| 0.0013        | 37.0  | 1036 | 0.2071          | 0.9286   |
| 0.0013        | 38.0  | 1064 | 0.2055          | 0.9286   |
| 0.0013        | 39.0  | 1092 | 0.2077          | 0.9286   |
| 0.0011        | 40.0  | 1120 | 0.2076          | 0.9286   |
| 0.0012        | 41.0  | 1148 | 0.2068          | 0.9286   |
| 0.0012        | 42.0  | 1176 | 0.2086          | 0.9286   |
| 0.0011        | 43.0  | 1204 | 0.2084          | 0.9286   |
| 0.0011        | 44.0  | 1232 | 0.2077          | 0.9286   |
| 0.0011        | 45.0  | 1260 | 0.2078          | 0.9286   |
| 0.0011        | 46.0  | 1288 | 0.2072          | 0.9286   |
| 0.0011        | 47.0  | 1316 | 0.2070          | 0.9286   |
| 0.0011        | 48.0  | 1344 | 0.2070          | 0.9286   |
| 0.0012        | 49.0  | 1372 | 0.2070          | 0.9286   |
| 0.0011        | 50.0  | 1400 | 0.2070          | 0.9286   |


### Framework versions

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