---
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: 4.6448

## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 5.2021        | 0.2212  | 50   | 4.6324          |
| 4.5313        | 0.4425  | 100  | 4.1367          |
| 4.1524        | 0.6637  | 150  | 3.8836          |
| 3.9207        | 0.8850  | 200  | 3.6920          |
| 3.5517        | 1.1062  | 250  | 3.8563          |
| 3.295         | 1.3274  | 300  | 3.2045          |
| 3.0938        | 1.5487  | 350  | 3.1921          |
| 2.9264        | 1.7699  | 400  | 2.8674          |
| 2.5353        | 1.9912  | 450  | 2.8867          |
| 2.1442        | 2.2124  | 500  | 2.7470          |
| 1.8984        | 2.4336  | 550  | 2.4924          |
| 1.886         | 2.6549  | 600  | 2.6026          |
| 1.9277        | 2.8761  | 650  | 2.6891          |
| 1.6546        | 3.0973  | 700  | 2.4442          |
| 1.4824        | 3.3186  | 750  | 2.8104          |
| 1.3533        | 3.5398  | 800  | 2.6744          |
| 1.5249        | 3.7611  | 850  | 2.1151          |
| 1.3263        | 3.9823  | 900  | 2.5105          |
| 0.9831        | 4.2035  | 950  | 2.8372          |
| 0.9544        | 4.4248  | 1000 | 2.2467          |
| 1.0167        | 4.6460  | 1050 | 3.0175          |
| 0.9889        | 4.8673  | 1100 | 2.6414          |
| 0.7828        | 5.0885  | 1150 | 2.8631          |
| 0.7675        | 5.3097  | 1200 | 2.8171          |
| 0.7695        | 5.5310  | 1250 | 3.0892          |
| 0.5891        | 5.7522  | 1300 | 3.1601          |
| 0.8397        | 5.9735  | 1350 | 3.0463          |
| 0.6106        | 6.1947  | 1400 | 3.3519          |
| 0.7397        | 6.4159  | 1450 | 3.4455          |
| 0.5613        | 6.6372  | 1500 | 3.1579          |
| 0.5931        | 6.8584  | 1550 | 3.3272          |
| 0.6042        | 7.0796  | 1600 | 3.0458          |
| 0.3754        | 7.3009  | 1650 | 3.3260          |
| 0.349         | 7.5221  | 1700 | 3.3049          |
| 0.5256        | 7.7434  | 1750 | 3.4301          |
| 0.4256        | 7.9646  | 1800 | 3.4376          |
| 0.333         | 8.1858  | 1850 | 3.4952          |
| 0.2256        | 8.4071  | 1900 | 3.7613          |
| 0.3261        | 8.6283  | 1950 | 3.3898          |
| 0.6199        | 8.8496  | 2000 | 3.3443          |
| 0.4307        | 9.0708  | 2050 | 3.1757          |
| 0.1569        | 9.2920  | 2100 | 3.7978          |
| 0.4755        | 9.5133  | 2150 | 3.5794          |
| 0.2493        | 9.7345  | 2200 | 3.5829          |
| 0.2686        | 9.9558  | 2250 | 3.5064          |
| 0.3662        | 10.1770 | 2300 | 3.2991          |
| 0.2353        | 10.3982 | 2350 | 3.4224          |
| 0.0991        | 10.6195 | 2400 | 4.2513          |
| 0.407         | 10.8407 | 2450 | 3.5800          |
| 0.1471        | 11.0619 | 2500 | 3.6337          |
| 0.1352        | 11.2832 | 2550 | 3.9379          |
| 0.2922        | 11.5044 | 2600 | 3.8454          |
| 0.1113        | 11.7257 | 2650 | 4.1881          |
| 0.1325        | 11.9469 | 2700 | 4.0861          |
| 0.1598        | 12.1681 | 2750 | 4.1164          |
| 0.0822        | 12.3894 | 2800 | 4.0703          |
| 0.1181        | 12.6106 | 2850 | 3.9423          |
| 0.2272        | 12.8319 | 2900 | 4.1349          |
| 0.1706        | 13.0531 | 2950 | 4.0460          |
| 0.1051        | 13.2743 | 3000 | 4.1329          |
| 0.0349        | 13.4956 | 3050 | 4.2074          |
| 0.2101        | 13.7168 | 3100 | 4.0685          |
| 0.1001        | 13.9381 | 3150 | 4.3431          |
| 0.1109        | 14.1593 | 3200 | 4.3210          |
| 0.0264        | 14.3805 | 3250 | 4.5687          |
| 0.1321        | 14.6018 | 3300 | 4.4580          |
| 0.0979        | 14.8230 | 3350 | 4.5390          |
| 0.0905        | 15.0442 | 3400 | 4.4641          |
| 0.0706        | 15.2655 | 3450 | 4.5589          |
| 0.0386        | 15.4867 | 3500 | 4.4396          |
| 0.0411        | 15.7080 | 3550 | 4.4250          |
| 0.0349        | 15.9292 | 3600 | 4.5973          |
| 0.1208        | 16.1504 | 3650 | 4.5193          |
| 0.0248        | 16.3717 | 3700 | 4.5689          |
| 0.0175        | 16.5929 | 3750 | 4.6381          |
| 0.0266        | 16.8142 | 3800 | 4.6431          |
| 0.0236        | 17.0354 | 3850 | 4.6552          |
| 0.0075        | 17.2566 | 3900 | 4.6977          |
| 0.0514        | 17.4779 | 3950 | 4.6455          |
| 0.0252        | 17.6991 | 4000 | 4.6360          |
| 0.0507        | 17.9204 | 4050 | 4.6566          |
| 0.0273        | 18.1416 | 4100 | 4.5838          |
| 0.0612        | 18.3628 | 4150 | 4.5459          |
| 0.0168        | 18.5841 | 4200 | 4.5979          |
| 0.0384        | 18.8053 | 4250 | 4.6035          |
| 0.0445        | 19.0265 | 4300 | 4.5904          |
| 0.0403        | 19.2478 | 4350 | 4.6543          |
| 0.0095        | 19.4690 | 4400 | 4.6552          |
| 0.0212        | 19.6903 | 4450 | 4.6426          |
| 0.0037        | 19.9115 | 4500 | 4.6448          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3