transformers pytorch vit image-classification generated_from_trainer dataset:imagefolder base_model:facebook/deit-base-patch16-224 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: facebook/deit-base-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: hushem_40x_deit_base_adamax_001_fold1
  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: 0.8
---

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# hushem_40x_deit_base_adamax_001_fold1

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: 1.7272
- Accuracy: 0.8

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.1818        | 1.0   | 215   | 1.1690          | 0.6667   |
| 0.0471        | 2.0   | 430   | 1.2084          | 0.7556   |
| 0.0323        | 3.0   | 645   | 1.4622          | 0.7556   |
| 0.0035        | 4.0   | 860   | 1.8637          | 0.6667   |
| 0.0576        | 5.0   | 1075  | 1.1848          | 0.7778   |
| 0.0306        | 6.0   | 1290  | 2.1315          | 0.6667   |
| 0.0267        | 7.0   | 1505  | 1.9833          | 0.6889   |
| 0.0299        | 8.0   | 1720  | 2.0731          | 0.6444   |
| 0.0           | 9.0   | 1935  | 1.0026          | 0.7778   |
| 0.0           | 10.0  | 2150  | 1.0394          | 0.7778   |
| 0.0           | 11.0  | 2365  | 1.0442          | 0.8      |
| 0.0           | 12.0  | 2580  | 1.0674          | 0.8      |
| 0.0           | 13.0  | 2795  | 1.0839          | 0.8      |
| 0.0           | 14.0  | 3010  | 1.1001          | 0.8      |
| 0.0           | 15.0  | 3225  | 1.1157          | 0.8      |
| 0.0           | 16.0  | 3440  | 1.1301          | 0.8      |
| 0.0           | 17.0  | 3655  | 1.1460          | 0.8      |
| 0.0           | 18.0  | 3870  | 1.1598          | 0.8      |
| 0.0           | 19.0  | 4085  | 1.1755          | 0.8      |
| 0.0           | 20.0  | 4300  | 1.1926          | 0.8      |
| 0.0           | 21.0  | 4515  | 1.2103          | 0.8      |
| 0.0           | 22.0  | 4730  | 1.2273          | 0.7778   |
| 0.0           | 23.0  | 4945  | 1.2450          | 0.7778   |
| 0.0           | 24.0  | 5160  | 1.2642          | 0.7778   |
| 0.0           | 25.0  | 5375  | 1.2848          | 0.7778   |
| 0.0           | 26.0  | 5590  | 1.3072          | 0.7778   |
| 0.0           | 27.0  | 5805  | 1.3310          | 0.7778   |
| 0.0           | 28.0  | 6020  | 1.3521          | 0.7778   |
| 0.0           | 29.0  | 6235  | 1.3737          | 0.7778   |
| 0.0           | 30.0  | 6450  | 1.3961          | 0.7778   |
| 0.0           | 31.0  | 6665  | 1.4197          | 0.7778   |
| 0.0           | 32.0  | 6880  | 1.4440          | 0.7778   |
| 0.0           | 33.0  | 7095  | 1.4721          | 0.7778   |
| 0.0           | 34.0  | 7310  | 1.5015          | 0.7778   |
| 0.0           | 35.0  | 7525  | 1.5290          | 0.7778   |
| 0.0           | 36.0  | 7740  | 1.5563          | 0.7778   |
| 0.0           | 37.0  | 7955  | 1.5831          | 0.7778   |
| 0.0           | 38.0  | 8170  | 1.6075          | 0.7778   |
| 0.0           | 39.0  | 8385  | 1.6265          | 0.8      |
| 0.0           | 40.0  | 8600  | 1.6444          | 0.8      |
| 0.0           | 41.0  | 8815  | 1.6599          | 0.8      |
| 0.0           | 42.0  | 9030  | 1.6734          | 0.8      |
| 0.0           | 43.0  | 9245  | 1.6847          | 0.8      |
| 0.0           | 44.0  | 9460  | 1.6936          | 0.8      |
| 0.0           | 45.0  | 9675  | 1.7031          | 0.8      |
| 0.0           | 46.0  | 9890  | 1.7109          | 0.8      |
| 0.0           | 47.0  | 10105 | 1.7178          | 0.8      |
| 0.0           | 48.0  | 10320 | 1.7232          | 0.8      |
| 0.0           | 49.0  | 10535 | 1.7265          | 0.8      |
| 0.0           | 50.0  | 10750 | 1.7272          | 0.8      |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.13.2
