---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
datasets:
- bird_species_dataset
metrics:
- accuracy
model-index:
- name: bird_species_classifier
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: bird_species_dataset
      type: bird_species_dataset
      config: bird_species_dataset
      split: train
      args: bird_species_dataset
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.8051042712825663
---

<!-- 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. -->

# bird_species_classifier

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the bird_species_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0432
- Accuracy: 0.8051

## 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-06
- 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
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 5.7612        | 1.0   | 4232  | 5.6983          | 0.6094   |
| 5.2463        | 2.0   | 8464  | 5.1675          | 0.7284   |
| 4.718         | 3.0   | 12696 | 4.7034          | 0.7526   |
| 4.3011        | 4.0   | 16928 | 4.2762          | 0.7740   |
| 3.9042        | 5.0   | 21160 | 3.9123          | 0.7867   |
| 3.5981        | 6.0   | 25392 | 3.6050          | 0.7936   |
| 3.328         | 7.0   | 29624 | 3.3598          | 0.8015   |
| 3.164         | 8.0   | 33856 | 3.1819          | 0.8053   |
| 3.0241        | 9.0   | 38088 | 3.0878          | 0.8052   |
| 2.9784        | 10.0  | 42320 | 3.0420          | 0.8095   |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2