---
license: mit
tags:
- generated_from_trainer
model-index:
- name: donut_finetuned_chart
  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. -->

# donut_finetuned_chart

This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on an chart images dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4957
- Cer: 0.2318

## 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: 2.3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.4943        | 1.0   | 166  | 0.6634          | 0.2341 |
| 0.475         | 2.0   | 333  | 0.5370          | 0.2320 |
| 0.3009        | 3.0   | 500  | 0.5051          | 0.2318 |
| 0.2611        | 3.98  | 664  | 0.4957          | 0.2318 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3