---
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv2-base-uncased
tags:
- generated_from_trainer
model-index:
- name: test-mod
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/pacman2223-kwame-nkrumah-university-of-science-and-techn/huggingface/runs/7mpn8s65)
# test-mod

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: 3.7093

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 4.4543        | 0.4425 | 100  | 4.1263          |
| 3.8184        | 0.8850 | 200  | 3.6020          |
| 3.1679        | 1.3274 | 300  | 3.2677          |
| 2.8445        | 1.7699 | 400  | 2.7349          |
| 2.1075        | 2.2124 | 500  | 2.7777          |
| 2.0023        | 2.6549 | 600  | 2.2916          |
| 1.6039        | 3.0973 | 700  | 2.9570          |
| 1.3588        | 3.5398 | 800  | 2.3464          |
| 1.2134        | 3.9823 | 900  | 2.5250          |
| 1.0646        | 4.4248 | 1000 | 2.4559          |
| 0.9066        | 4.8673 | 1100 | 2.8075          |
| 0.7531        | 5.3097 | 1200 | 2.6887          |
| 0.5598        | 5.7522 | 1300 | 3.2975          |
| 0.4299        | 6.1947 | 1400 | 3.3297          |
| 0.3816        | 6.6372 | 1500 | 3.4080          |
| 0.5005        | 7.0796 | 1600 | 2.9232          |
| 0.3535        | 7.5221 | 1700 | 3.5700          |
| 0.2528        | 7.9646 | 1800 | 3.4312          |
| 0.1815        | 8.4071 | 1900 | 3.6603          |
| 0.3175        | 8.8496 | 2000 | 3.7269          |
| 0.1152        | 9.2920 | 2100 | 3.7923          |
| 0.2856        | 9.7345 | 2200 | 3.7093          |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1