---
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv2-base-uncased
tags:
- generated_from_trainer
datasets:
- block2ds
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 the block2ds dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9118

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.2361        | 2.17  | 50   | 3.6262          |
| 3.5312        | 4.35  | 100  | 3.2548          |
| 3.1763        | 6.52  | 150  | 2.9094          |
| 2.857         | 8.7   | 200  | 2.6181          |
| 2.5854        | 10.87 | 250  | 2.3748          |
| 2.365         | 13.04 | 300  | 2.1822          |
| 2.1976        | 15.22 | 350  | 2.0389          |
| 2.0745        | 17.39 | 400  | 1.9492          |
| 2.0104        | 19.57 | 450  | 1.9118          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1