---
license: cc-by-nc-sa-4.0
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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6030

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.326         | 0.22  | 50   | 4.4949          |
| 4.292         | 0.44  | 100  | 3.9510          |
| 3.9419        | 0.66  | 150  | 3.9100          |
| 3.6895        | 0.88  | 200  | 3.5035          |
| 3.4052        | 1.11  | 250  | 3.4030          |
| 3.1405        | 1.33  | 300  | 3.2100          |
| 2.8966        | 1.55  | 350  | 2.9803          |
| 2.7874        | 1.77  | 400  | 2.7811          |
| 2.5385        | 1.99  | 450  | 2.4748          |
| 2.1532        | 2.21  | 500  | 2.5843          |
| 1.994         | 2.43  | 550  | 2.5459          |
| 1.8322        | 2.65  | 600  | 2.2316          |
| 1.7005        | 2.88  | 650  | 2.1888          |
| 1.4758        | 3.1   | 700  | 2.4578          |
| 1.3543        | 3.32  | 750  | 2.3368          |
| 1.1939        | 3.54  | 800  | 2.9737          |
| 1.294         | 3.76  | 850  | 2.4907          |
| 1.4519        | 3.98  | 900  | 1.9276          |
| 1.0517        | 4.2   | 950  | 2.9981          |
| 0.8171        | 4.42  | 1000 | 2.5618          |
| 1.0456        | 4.65  | 1050 | 2.3139          |
| 0.9222        | 4.87  | 1100 | 2.4243          |
| 0.758         | 5.09  | 1150 | 2.8167          |
| 0.7203        | 5.31  | 1200 | 2.9342          |
| 0.6748        | 5.53  | 1250 | 2.6396          |
| 0.6821        | 5.75  | 1300 | 2.5629          |
| 0.5898        | 5.97  | 1350 | 3.0276          |
| 0.3135        | 6.19  | 1400 | 3.2611          |
| 0.4407        | 6.42  | 1450 | 3.1793          |
| 0.5303        | 6.64  | 1500 | 3.0511          |
| 0.5294        | 6.86  | 1550 | 3.1106          |
| 0.3149        | 7.08  | 1600 | 3.2933          |
| 0.199         | 7.3   | 1650 | 3.4207          |
| 0.164         | 7.52  | 1700 | 3.4379          |
| 0.5258        | 7.74  | 1750 | 3.1339          |
| 0.336         | 7.96  | 1800 | 3.2394          |
| 0.3294        | 8.19  | 1850 | 3.0956          |
| 0.1587        | 8.41  | 1900 | 3.4282          |
| 0.2375        | 8.63  | 1950 | 3.3718          |
| 0.117         | 8.85  | 2000 | 3.5646          |
| 0.2873        | 9.07  | 2050 | 3.5213          |
| 0.2206        | 9.29  | 2100 | 3.5387          |
| 0.2503        | 9.51  | 2150 | 3.5683          |
| 0.0763        | 9.73  | 2200 | 3.6119          |
| 0.1344        | 9.96  | 2250 | 3.6030          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3