---
license: mit
base_model: naver-clova-ix/donut-base
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut_marriage_ms_420-105_001
  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_marriage_ms_420-105_001

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: 0.3288

## 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: 150
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8064        | 1.0   | 210  | 0.4931          |
| 0.2443        | 2.0   | 420  | 0.3622          |
| 0.0773        | 3.0   | 630  | 0.2789          |
| 0.171         | 4.0   | 840  | 0.2603          |
| 0.1889        | 5.0   | 1050 | 0.2761          |
| 0.0565        | 6.0   | 1260 | 0.3071          |
| 0.0226        | 7.0   | 1470 | 0.2881          |
| 0.1198        | 8.0   | 1680 | 0.3040          |
| 0.0093        | 9.0   | 1890 | 0.3188          |
| 0.0049        | 10.0  | 2100 | 0.3357          |
| 0.0275        | 11.0  | 2310 | 0.3541          |
| 0.0198        | 12.0  | 2520 | 0.3420          |
| 0.0306        | 13.0  | 2730 | 0.3330          |
| 0.0874        | 14.0  | 2940 | 0.3288          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0