---
license: apache-2.0
base_model: microsoft/cvt-13
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: cvt-13-finetuned-ibird
  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. -->

# cvt-13-finetuned-ibird

This model is a fine-tuned version of [microsoft/cvt-13](https://huggingface.co/microsoft/cvt-13) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0637
- Accuracy: 0.9853

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0089        | 1.0   | 565  | 0.2878          | 0.9649   |
| 0.7855        | 2.0   | 1131 | 0.1079          | 0.9791   |
| 0.6657        | 3.0   | 1696 | 0.0706          | 0.9867   |
| 0.7475        | 4.0   | 2262 | 0.0668          | 0.9867   |
| 0.6021        | 5.0   | 2825 | 0.0637          | 0.9853   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Tokenizers 0.15.2