---
library_name: transformers
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv2-base-uncased
tags:
- generated_from_trainer
model-index:
- name: LayoutLMV2-Standard-Tune
  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-Standard-Tune

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: 4.8908

## 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 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 5.2839        | 0.2212  | 50   | 4.7945          |
| 4.5829        | 0.4425  | 100  | 4.1757          |
| 4.1957        | 0.6637  | 150  | 4.0915          |
| 3.9136        | 0.8850  | 200  | 3.7030          |
| 3.4744        | 1.1062  | 250  | 3.5116          |
| 3.2748        | 1.3274  | 300  | 3.1921          |
| 3.067         | 1.5487  | 350  | 2.9631          |
| 2.7681        | 1.7699  | 400  | 2.6921          |
| 2.3719        | 1.9912  | 450  | 2.8024          |
| 2.1407        | 2.2124  | 500  | 2.6848          |
| 1.8237        | 2.4336  | 550  | 2.3111          |
| 1.8715        | 2.6549  | 600  | 2.2330          |
| 1.7399        | 2.8761  | 650  | 2.3720          |
| 1.7406        | 3.0973  | 700  | 2.8147          |
| 1.4482        | 3.3186  | 750  | 2.5001          |
| 1.4329        | 3.5398  | 800  | 2.5033          |
| 1.5602        | 3.7611  | 850  | 2.4586          |
| 1.293         | 3.9823  | 900  | 2.7511          |
| 1.0454        | 4.2035  | 950  | 3.0238          |
| 1.0479        | 4.4248  | 1000 | 2.5079          |
| 0.9167        | 4.6460  | 1050 | 2.6259          |
| 0.9181        | 4.8673  | 1100 | 2.8871          |
| 0.8904        | 5.0885  | 1150 | 2.4504          |
| 0.7538        | 5.3097  | 1200 | 2.9350          |
| 0.8497        | 5.5310  | 1250 | 3.0230          |
| 0.6692        | 5.7522  | 1300 | 3.2195          |
| 0.8399        | 5.9735  | 1350 | 2.9667          |
| 0.5473        | 6.1947  | 1400 | 3.1973          |
| 0.8275        | 6.4159  | 1450 | 3.2960          |
| 0.5785        | 6.6372  | 1500 | 3.0990          |
| 0.5653        | 6.8584  | 1550 | 3.3700          |
| 0.5588        | 7.0796  | 1600 | 3.0558          |
| 0.4161        | 7.3009  | 1650 | 3.5987          |
| 0.2991        | 7.5221  | 1700 | 3.7233          |
| 0.5851        | 7.7434  | 1750 | 3.5847          |
| 0.4491        | 7.9646  | 1800 | 3.7572          |
| 0.3945        | 8.1858  | 1850 | 3.4518          |
| 0.2604        | 8.4071  | 1900 | 3.6431          |
| 0.3501        | 8.6283  | 1950 | 3.6098          |
| 0.3894        | 8.8496  | 2000 | 3.9602          |
| 0.4027        | 9.0708  | 2050 | 3.9866          |
| 0.297         | 9.2920  | 2100 | 4.1976          |
| 0.4525        | 9.5133  | 2150 | 4.4386          |
| 0.4868        | 9.7345  | 2200 | 3.5151          |
| 0.2205        | 9.9558  | 2250 | 4.2178          |
| 0.2727        | 10.1770 | 2300 | 4.1939          |
| 0.161         | 10.3982 | 2350 | 4.2756          |
| 0.2455        | 10.6195 | 2400 | 4.5170          |
| 0.4042        | 10.8407 | 2450 | 3.9808          |
| 0.1274        | 11.0619 | 2500 | 4.2683          |
| 0.1188        | 11.2832 | 2550 | 4.1454          |
| 0.3412        | 11.5044 | 2600 | 4.1659          |
| 0.1803        | 11.7257 | 2650 | 3.9312          |
| 0.1964        | 11.9469 | 2700 | 3.7040          |
| 0.1959        | 12.1681 | 2750 | 3.9490          |
| 0.1107        | 12.3894 | 2800 | 3.9846          |
| 0.1651        | 12.6106 | 2850 | 4.0311          |
| 0.2005        | 12.8319 | 2900 | 4.0973          |
| 0.2648        | 13.0531 | 2950 | 4.5676          |
| 0.0985        | 13.2743 | 3000 | 4.0938          |
| 0.1042        | 13.4956 | 3050 | 4.1858          |
| 0.1192        | 13.7168 | 3100 | 4.5617          |
| 0.1114        | 13.9381 | 3150 | 4.1155          |
| 0.1091        | 14.1593 | 3200 | 4.5171          |
| 0.1307        | 14.3805 | 3250 | 4.7358          |
| 0.1432        | 14.6018 | 3300 | 4.7484          |
| 0.1439        | 14.8230 | 3350 | 4.4776          |
| 0.0857        | 15.0442 | 3400 | 4.6668          |
| 0.0127        | 15.2655 | 3450 | 4.7343          |
| 0.0364        | 15.4867 | 3500 | 4.6299          |
| 0.1207        | 15.7080 | 3550 | 4.7548          |
| 0.1539        | 15.9292 | 3600 | 4.6832          |
| 0.0515        | 16.1504 | 3650 | 4.8701          |
| 0.0291        | 16.3717 | 3700 | 5.0909          |
| 0.0385        | 16.5929 | 3750 | 4.9299          |
| 0.0726        | 16.8142 | 3800 | 4.7428          |
| 0.1781        | 17.0354 | 3850 | 4.8832          |
| 0.0068        | 17.2566 | 3900 | 5.0250          |
| 0.1302        | 17.4779 | 3950 | 4.6736          |
| 0.0528        | 17.6991 | 4000 | 4.6847          |
| 0.0765        | 17.9204 | 4050 | 4.5936          |
| 0.071         | 18.1416 | 4100 | 4.8151          |
| 0.0651        | 18.3628 | 4150 | 4.8133          |
| 0.0066        | 18.5841 | 4200 | 4.8225          |
| 0.0294        | 18.8053 | 4250 | 4.8895          |
| 0.0808        | 19.0265 | 4300 | 4.8649          |
| 0.085         | 19.2478 | 4350 | 4.8763          |
| 0.0352        | 19.4690 | 4400 | 4.8788          |
| 0.1208        | 19.6903 | 4450 | 4.8931          |
| 0.0804        | 19.9115 | 4500 | 4.8908          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0