---
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: 3.6446

## 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: 4
- 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

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 5.1899        | 0.2212 | 50   | 4.5198          |
| 4.3841        | 0.4425 | 100  | 3.9910          |
| 4.0167        | 0.6637 | 150  | 3.9030          |
| 3.7906        | 0.8850 | 200  | 3.4974          |
| 3.426         | 1.1062 | 250  | 3.7834          |
| 3.0774        | 1.3274 | 300  | 3.2013          |
| 2.9541        | 1.5487 | 350  | 3.0711          |
| 2.7072        | 1.7699 | 400  | 2.7067          |
| 2.3127        | 1.9912 | 450  | 2.6800          |
| 2.0786        | 2.2124 | 500  | 2.6677          |
| 1.9055        | 2.4336 | 550  | 2.5482          |
| 2.0272        | 2.6549 | 600  | 2.2344          |
| 1.6753        | 2.8761 | 650  | 2.3265          |
| 1.4848        | 3.0973 | 700  | 2.5170          |
| 1.4359        | 3.3186 | 750  | 2.4527          |
| 1.2884        | 3.5398 | 800  | 2.4033          |
| 1.3217        | 3.7611 | 850  | 2.0981          |
| 1.3359        | 3.9823 | 900  | 2.2481          |
| 0.9068        | 4.2035 | 950  | 2.4053          |
| 1.1537        | 4.4248 | 1000 | 2.5739          |
| 0.8742        | 4.6460 | 1050 | 2.5003          |
| 0.9135        | 4.8673 | 1100 | 2.5511          |
| 0.9073        | 5.0885 | 1150 | 2.6724          |
| 0.6596        | 5.3097 | 1200 | 2.6174          |
| 0.7797        | 5.5310 | 1250 | 2.8350          |
| 0.6031        | 5.7522 | 1300 | 3.1642          |
| 0.7287        | 5.9735 | 1350 | 3.0317          |
| 0.4586        | 6.1947 | 1400 | 3.1821          |
| 0.5755        | 6.4159 | 1450 | 3.1222          |
| 0.4174        | 6.6372 | 1500 | 3.6997          |
| 0.2839        | 6.8584 | 1550 | 3.7044          |
| 0.5378        | 7.0796 | 1600 | 3.4223          |
| 0.3549        | 7.3009 | 1650 | 3.3740          |
| 0.2239        | 7.5221 | 1700 | 3.6018          |
| 0.3209        | 7.7434 | 1750 | 3.3689          |
| 0.2594        | 7.9646 | 1800 | 3.6625          |
| 0.1606        | 8.1858 | 1850 | 3.6916          |
| 0.1525        | 8.4071 | 1900 | 3.6299          |
| 0.1104        | 8.6283 | 1950 | 3.7133          |
| 0.3046        | 8.8496 | 2000 | 3.7701          |
| 0.3161        | 9.0708 | 2050 | 3.6224          |
| 0.1331        | 9.2920 | 2100 | 3.6198          |
| 0.2595        | 9.5133 | 2150 | 3.6251          |
| 0.1928        | 9.7345 | 2200 | 3.6359          |
| 0.1465        | 9.9558 | 2250 | 3.6446          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1