---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: layoutlmv3-final-v5-BI
  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. -->

# layoutlmv3-final-v5-BI

This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6247
- Precision: 0.8999
- Recall: 0.8951
- F1: 0.8975
- Accuracy: 0.8332

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 2.56  | 100  | 1.7861          | 0.6476    | 0.5870 | 0.6158 | 0.5780   |
| No log        | 5.13  | 200  | 1.0443          | 0.8398    | 0.8320 | 0.8359 | 0.7429   |
| No log        | 7.69  | 300  | 0.7747          | 0.8883    | 0.8818 | 0.8850 | 0.8073   |
| No log        | 10.26 | 400  | 0.6585          | 0.9011    | 0.8958 | 0.8984 | 0.8326   |
| 1.3123        | 12.82 | 500  | 0.6247          | 0.8999    | 0.8951 | 0.8975 | 0.8332   |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 1.8.0+cu101
- Datasets 2.12.0
- Tokenizers 0.13.3