---
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv2-base-uncased
tags:
- generated_from_trainer
model-index:
- name: layoutlmv2-base-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-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: 2.9372

## 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: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.2741        | 0.22  | 50   | 4.5078          |
| 4.3688        | 0.44  | 100  | 4.2690          |
| 4.1035        | 0.66  | 150  | 3.7153          |
| 3.8461        | 0.88  | 200  | 3.6182          |
| 3.6142        | 1.11  | 250  | 3.4844          |
| 3.0794        | 1.33  | 300  | 3.2514          |
| 3.0315        | 1.55  | 350  | 3.3487          |
| 2.8165        | 1.77  | 400  | 2.7495          |
| 2.6306        | 1.99  | 450  | 2.8793          |
| 2.2232        | 2.21  | 500  | 2.5794          |
| 2.0693        | 2.43  | 550  | 2.7011          |
| 2.0821        | 2.65  | 600  | 2.4160          |
| 1.9505        | 2.88  | 650  | 2.2413          |
| 1.7037        | 3.1   | 700  | 2.3263          |
| 1.6657        | 3.32  | 750  | 3.0268          |
| 1.5721        | 3.54  | 800  | 2.8429          |
| 1.3987        | 3.76  | 850  | 2.3589          |
| 1.3469        | 3.98  | 900  | 2.6879          |
| 1.0572        | 4.2   | 950  | 3.0299          |
| 1.046         | 4.42  | 1000 | 2.7357          |
| 0.9208        | 4.65  | 1050 | 2.9640          |
| 0.9383        | 4.87  | 1100 | 2.9712          |
| 0.8651        | 5.09  | 1150 | 3.0117          |
| 0.7581        | 5.31  | 1200 | 3.1530          |
| 0.779         | 5.53  | 1250 | 3.0349          |
| 0.8105        | 5.75  | 1300 | 2.8753          |
| 0.705         | 5.97  | 1350 | 2.9372          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3