---
license: mit
base_model: naver-clova-ix/donut-base
tags:
- generated_from_trainer
metrics:
- bleu
- wer
model-index:
- name: donut_experiment_bayesian_trial_19
  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_experiment_bayesian_trial_19

This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5754
- Bleu: 0.0724
- Precisions: [0.8450413223140496, 0.7892271662763466, 0.7486486486486487, 0.7028753993610224]
- Brevity Penalty: 0.0941
- Length Ratio: 0.2973
- Translation Length: 484
- Reference Length: 1628
- Cer: 0.7493
- Wer: 0.8177

## 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: 1.0668629620167924e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Precisions                                                                       | Brevity Penalty | Length Ratio | Translation Length | Reference Length | Cer    | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------------------------------------------------------------------------------:|:---------------:|:------------:|:------------------:|:----------------:|:------:|:------:|
| 0.0069        | 1.0   | 253  | 0.5825          | 0.0710 | [0.8423236514522822, 0.7858823529411765, 0.7418478260869565, 0.6977491961414791] | 0.0928          | 0.2961       | 482                | 1628             | 0.7509 | 0.8197 |
| 0.0113        | 2.0   | 506  | 0.5684          | 0.0703 | [0.841995841995842, 0.785377358490566, 0.7411444141689373, 0.6935483870967742]   | 0.0921          | 0.2955       | 481                | 1628             | 0.7505 | 0.8199 |
| 0.0074        | 3.0   | 759  | 0.5754          | 0.0724 | [0.8450413223140496, 0.7892271662763466, 0.7486486486486487, 0.7028753993610224] | 0.0941          | 0.2973       | 484                | 1628             | 0.7493 | 0.8177 |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.1.0
- Datasets 2.18.0
- Tokenizers 0.19.1