---
base_model: squantumengine/donut-base-stnk-no-address-v2
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-base-stnk-no-address-v3
  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-stnk-no-address-v3

This model is a fine-tuned version of [squantumengine/donut-base-stnk-no-address-v2](https://huggingface.co/squantumengine/donut-base-stnk-no-address-v2) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2116

## 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: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.4954        | 1.0   | 3253  | 0.3898          |
| 0.3524        | 2.0   | 6506  | 0.2783          |
| 0.2498        | 3.0   | 9759  | 0.2342          |
| 0.1684        | 4.0   | 13012 | 0.2177          |
| 0.1442        | 5.0   | 16265 | 0.2116          |


### Framework versions

- Transformers 4.31.0
- Pytorch 1.13.1+cu117
- Datasets 2.14.0
- Tokenizers 0.13.3