---
library_name: transformers
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: 4.5637

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 5.2825        | 0.2212  | 50   | 4.5028          |
| 4.4224        | 0.4425  | 100  | 4.0697          |
| 4.1296        | 0.6637  | 150  | 3.9535          |
| 3.8325        | 0.8850  | 200  | 3.5453          |
| 3.4315        | 1.1062  | 250  | 3.8942          |
| 3.2797        | 1.3274  | 300  | 3.2322          |
| 3.0041        | 1.5487  | 350  | 2.9298          |
| 2.7424        | 1.7699  | 400  | 2.6607          |
| 2.3969        | 1.9912  | 450  | 2.6309          |
| 2.0661        | 2.2124  | 500  | 2.7708          |
| 1.9442        | 2.4336  | 550  | 2.6028          |
| 1.8616        | 2.6549  | 600  | 2.2959          |
| 1.9612        | 2.8761  | 650  | 2.1755          |
| 1.5795        | 3.0973  | 700  | 2.3348          |
| 1.3558        | 3.3186  | 750  | 2.3090          |
| 1.4052        | 3.5398  | 800  | 2.5506          |
| 1.4666        | 3.7611  | 850  | 2.4862          |
| 1.3408        | 3.9823  | 900  | 2.4843          |
| 1.1343        | 4.2035  | 950  | 2.5429          |
| 1.0681        | 4.4248  | 1000 | 2.6741          |
| 1.2315        | 4.6460  | 1050 | 3.5725          |
| 1.3005        | 4.8673  | 1100 | 2.5506          |
| 0.9839        | 5.0885  | 1150 | 2.5715          |
| 0.8055        | 5.3097  | 1200 | 3.1745          |
| 1.0878        | 5.5310  | 1250 | 3.6689          |
| 0.7227        | 5.7522  | 1300 | 3.4183          |
| 0.7872        | 5.9735  | 1350 | 2.9087          |
| 0.5348        | 6.1947  | 1400 | 2.9912          |
| 0.8189        | 6.4159  | 1450 | 2.7346          |
| 0.5305        | 6.6372  | 1500 | 2.8126          |
| 0.5597        | 6.8584  | 1550 | 3.2278          |
| 0.7229        | 7.0796  | 1600 | 2.8248          |
| 0.4531        | 7.3009  | 1650 | 3.2564          |
| 0.5035        | 7.5221  | 1700 | 3.0984          |
| 0.4971        | 7.7434  | 1750 | 3.0667          |
| 0.5544        | 7.9646  | 1800 | 2.8519          |
| 0.2919        | 8.1858  | 1850 | 3.9333          |
| 0.405         | 8.4071  | 1900 | 3.5871          |
| 0.3391        | 8.6283  | 1950 | 3.5935          |
| 0.5292        | 8.8496  | 2000 | 3.4899          |
| 0.471         | 9.0708  | 2050 | 3.5509          |
| 0.2564        | 9.2920  | 2100 | 3.9214          |
| 0.4863        | 9.5133  | 2150 | 3.6614          |
| 0.315         | 9.7345  | 2200 | 3.9714          |
| 0.4728        | 9.9558  | 2250 | 3.5600          |
| 0.2982        | 10.1770 | 2300 | 3.6403          |
| 0.1714        | 10.3982 | 2350 | 3.6444          |
| 0.205         | 10.6195 | 2400 | 4.3221          |
| 0.3756        | 10.8407 | 2450 | 4.0914          |
| 0.1874        | 11.0619 | 2500 | 3.8238          |
| 0.0965        | 11.2832 | 2550 | 4.0389          |
| 0.2563        | 11.5044 | 2600 | 4.1470          |
| 0.2176        | 11.7257 | 2650 | 3.8725          |
| 0.147         | 11.9469 | 2700 | 4.0304          |
| 0.2113        | 12.1681 | 2750 | 3.7899          |
| 0.1281        | 12.3894 | 2800 | 4.1518          |
| 0.1377        | 12.6106 | 2850 | 4.1490          |
| 0.2311        | 12.8319 | 2900 | 4.0664          |
| 0.2286        | 13.0531 | 2950 | 3.8024          |
| 0.1179        | 13.2743 | 3000 | 3.9863          |
| 0.1248        | 13.4956 | 3050 | 3.9647          |
| 0.1693        | 13.7168 | 3100 | 3.6965          |
| 0.0876        | 13.9381 | 3150 | 4.1747          |
| 0.12          | 14.1593 | 3200 | 4.2850          |
| 0.0899        | 14.3805 | 3250 | 4.2602          |
| 0.1521        | 14.6018 | 3300 | 4.0035          |
| 0.1186        | 14.8230 | 3350 | 4.0200          |
| 0.0194        | 15.0442 | 3400 | 4.2270          |
| 0.0629        | 15.2655 | 3450 | 4.3293          |
| 0.0155        | 15.4867 | 3500 | 4.2434          |
| 0.1116        | 15.7080 | 3550 | 4.2031          |
| 0.0691        | 15.9292 | 3600 | 4.4198          |
| 0.0235        | 16.1504 | 3650 | 4.4143          |
| 0.0857        | 16.3717 | 3700 | 4.2814          |
| 0.0114        | 16.5929 | 3750 | 4.2801          |
| 0.0176        | 16.8142 | 3800 | 4.4927          |
| 0.0978        | 17.0354 | 3850 | 4.5054          |
| 0.0122        | 17.2566 | 3900 | 4.5038          |
| 0.009         | 17.4779 | 3950 | 4.5913          |
| 0.0476        | 17.6991 | 4000 | 4.6732          |
| 0.0985        | 17.9204 | 4050 | 4.5039          |
| 0.0051        | 18.1416 | 4100 | 4.5284          |
| 0.0696        | 18.3628 | 4150 | 4.5731          |
| 0.0238        | 18.5841 | 4200 | 4.5257          |
| 0.0068        | 18.8053 | 4250 | 4.5459          |
| 0.0276        | 19.0265 | 4300 | 4.5551          |
| 0.0296        | 19.2478 | 4350 | 4.5593          |
| 0.0068        | 19.4690 | 4400 | 4.5723          |
| 0.1252        | 19.6903 | 4450 | 4.5622          |
| 0.0051        | 19.9115 | 4500 | 4.5637          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1