---
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv2-base-uncased
tags:
- generated_from_trainer
model-index:
- name: layoutlmv2-base-uncased_finetuned_docvqa
  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. -->

# layoutlmv2-base-uncased_finetuned_docvqa

This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8273

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0156        | 0.44  | 50   | 2.4679          |
| 1.8368        | 0.88  | 100  | 2.2079          |
| 1.5567        | 1.33  | 150  | 2.3312          |
| 1.3487        | 1.77  | 200  | 2.8410          |
| 1.2254        | 2.21  | 250  | 2.6996          |
| 1.1201        | 2.65  | 300  | 2.2915          |
| 0.8816        | 3.1   | 350  | 2.3419          |
| 0.7885        | 3.54  | 400  | 2.6410          |
| 0.7532        | 3.98  | 450  | 2.7539          |
| 0.5822        | 4.42  | 500  | 2.7213          |
| 0.5801        | 4.87  | 550  | 2.7429          |
| 0.5043        | 5.31  | 600  | 2.8523          |
| 0.4545        | 5.75  | 650  | 2.8666          |
| 0.4029        | 6.19  | 700  | 3.4559          |
| 0.3568        | 6.64  | 750  | 3.1760          |
| 0.3962        | 7.08  | 800  | 3.0625          |
| 0.2381        | 7.52  | 850  | 3.3868          |
| 0.2492        | 7.96  | 900  | 3.7453          |
| 0.3813        | 8.41  | 950  | 3.2516          |
| 0.2477        | 8.85  | 1000 | 3.4677          |
| 0.1834        | 9.29  | 1050 | 3.2748          |
| 0.2067        | 9.73  | 1100 | 3.7590          |
| 0.2062        | 10.18 | 1150 | 3.5956          |
| 0.1337        | 10.62 | 1200 | 3.8232          |
| 0.1785        | 11.06 | 1250 | 3.5264          |
| 0.0906        | 11.5  | 1300 | 3.6157          |
| 0.1649        | 11.95 | 1350 | 3.4667          |
| 0.1306        | 12.39 | 1400 | 3.7029          |
| 0.0529        | 12.83 | 1450 | 3.6307          |
| 0.0628        | 13.27 | 1500 | 3.5905          |
| 0.1015        | 13.72 | 1550 | 3.4659          |
| 0.0693        | 14.16 | 1600 | 3.7713          |
| 0.1111        | 14.6  | 1650 | 3.7680          |
| 0.0414        | 15.04 | 1700 | 3.8956          |
| 0.0256        | 15.49 | 1750 | 3.9021          |
| 0.0737        | 15.93 | 1800 | 3.9392          |
| 0.0577        | 16.37 | 1850 | 3.8129          |
| 0.0744        | 16.81 | 1900 | 3.8356          |
| 0.0698        | 17.26 | 1950 | 3.8406          |
| 0.0173        | 17.7  | 2000 | 3.8611          |
| 0.0667        | 18.14 | 2050 | 3.7995          |
| 0.0482        | 18.58 | 2100 | 3.8132          |
| 0.0458        | 19.03 | 2150 | 3.8335          |
| 0.0415        | 19.47 | 2200 | 3.8475          |
| 0.0236        | 19.91 | 2250 | 3.8273          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1