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

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: 0.9620

## 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: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.409         | 2.78  | 50   | 2.3859          |
| 1.959         | 5.56  | 100  | 2.1196          |
| 1.5433        | 8.33  | 150  | 1.7951          |
| 1.1748        | 11.11 | 200  | 1.5172          |
| 0.87          | 13.89 | 250  | 1.3040          |
| 0.6342        | 16.67 | 300  | 1.1525          |
| 0.4597        | 19.44 | 350  | 1.0532          |
| 0.3338        | 22.22 | 400  | 0.9942          |
| 0.2429        | 25.0  | 450  | 0.9632          |
| 0.1786        | 27.78 | 500  | 0.9509          |
| 0.1347        | 30.56 | 550  | 0.9486          |
| 0.143         | 33.33 | 600  | 0.9500          |
| 0.0976        | 36.11 | 650  | 0.9527          |
| 0.0874        | 38.89 | 700  | 0.9556          |
| 0.0808        | 41.67 | 750  | 0.9582          |
| 0.0746        | 44.44 | 800  | 0.9603          |
| 0.073         | 47.22 | 850  | 0.9615          |
| 0.0717        | 50.0  | 900  | 0.9620          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2