---
license: apache-2.0
base_model: jonathanfernandes/vit-base-patch16-224-finetuned-flower
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: flower_classifier
  results: []
---

<!-- 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. -->

# flower_classifier

This model is a fine-tuned version of [jonathanfernandes/vit-base-patch16-224-finetuned-flower](https://huggingface.co/jonathanfernandes/vit-base-patch16-224-finetuned-flower) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2238
- Accuracy: 0.9878

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0568        | 1.0   | 102  | 0.9734          | 0.9322   |
| 0.3193        | 2.0   | 205  | 0.3169          | 0.9805   |
| 0.1862        | 2.99  | 306  | 0.2250          | 0.9853   |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3