---
license: mit
base_model: naver-clova-ix/donut-base
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-base-full_text_wt_val_1008
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# donut-base-full_text_wt_val_1008

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: 0.1215

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3636        | 1.0   | 504  | 0.2522          |
| 0.2144        | 2.0   | 1008 | 0.1862          |
| 0.1898        | 3.0   | 1512 | 0.1540          |
| 0.0952        | 4.0   | 2016 | 0.1459          |
| 0.1096        | 5.0   | 2520 | 0.1319          |
| 0.0742        | 6.0   | 3024 | 0.1265          |
| 0.074         | 7.0   | 3528 | 0.1240          |
| 0.0692        | 8.0   | 4032 | 0.1209          |
| 0.0671        | 9.0   | 4536 | 0.1218          |
| 0.0376        | 10.0  | 5040 | 0.1215          |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1