---
license: mit
base_model: naver-clova-ix/donut-base
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-base-vishnu2
  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-base-vishnu2

This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6822

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5134        | 1.0   | 137  | 2.8022          |
| 3.0637        | 2.0   | 274  | 1.8503          |
| 0.9705        | 3.0   | 411  | 1.6708          |
| 0.889         | 4.0   | 548  | 1.5365          |
| 0.3093        | 5.0   | 685  | 1.5766          |
| 0.1843        | 6.0   | 822  | 1.4999          |
| 0.7406        | 7.0   | 959  | 1.4946          |
| 2.8585        | 8.0   | 1096 | 1.5358          |
| 0.8517        | 9.0   | 1233 | 1.6042          |
| 0.7837        | 10.0  | 1370 | 1.6064          |
| 0.4483        | 11.0  | 1507 | 1.6338          |
| 0.5618        | 12.0  | 1644 | 1.6822          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1