---
license: apache-2.0
base_model: facebook/deit-base-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: model
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: imagefolder
      type: imagefolder
      config: default
      split: train
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 1
library_name: transformers
---

<!-- 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. -->

# model

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: 0.0003
- Accuracy: 1.0

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.322         | 1.0   | 138  | 0.0291          | 0.99     |
| 0.0225        | 2.0   | 276  | 0.0040          | 1.0      |
| 0.012         | 3.0   | 414  | 0.0005          | 1.0      |
| 0.0022        | 4.0   | 552  | 0.0002          | 1.0      |
| 0.0008        | 5.0   | 690  | 0.0016          | 1.0      |
| 0.0           | 6.0   | 828  | 0.0006          | 1.0      |
| 0.0           | 7.0   | 966  | 0.0004          | 1.0      |
| 0.0           | 8.0   | 1104 | 0.0003          | 1.0      |
| 0.0           | 9.0   | 1242 | 0.0003          | 1.0      |
| 0.0           | 10.0  | 1380 | 0.0003          | 1.0      |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1