---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
model-index:
- name: layoutlmv2-large-uncased-finetuned-vi-infovqa
  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-large-uncased-finetuned-vi-infovqa

This model is a fine-tuned version of [microsoft/layoutlmv2-large-uncased](https://huggingface.co/microsoft/layoutlmv2-large-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.2383

## 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: 2
- eval_batch_size: 2
- seed: 250500
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.9983        | 0.83  | 500  | 6.2383          |
| 6.2621        | 1.65  | 1000 | 6.2383          |
| 6.2492        | 2.48  | 1500 | 6.2383          |
| 6.2548        | 3.3   | 2000 | 6.2383          |
| 6.2515        | 4.13  | 2500 | 6.2383          |
| 6.2543        | 4.95  | 3000 | 6.2383          |
| 6.2545        | 5.78  | 3500 | 6.2383          |
| 6.247         | 6.6   | 4000 | 6.2383          |
| 6.2499        | 7.43  | 4500 | 6.2383          |
| 6.2434        | 8.25  | 5000 | 6.2383          |
| 6.2416        | 9.08  | 5500 | 6.2383          |
| 6.2425        | 9.9   | 6000 | 6.2383          |


### Framework versions

- Transformers 4.14.1
- Pytorch 1.8.0+cu101
- Datasets 1.16.1
- Tokenizers 0.10.3