---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: layoutlmv3-final-v4-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-v4-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: 2.1471
- Precision: 0.5571
- Recall: 0.4728
- F1: 0.5115
- Accuracy: 0.4681

## 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: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 0.26  | 10   | 3.1260          | 0.1518    | 0.1149 | 0.1308 | 0.1478   |
| No log        | 0.51  | 20   | 2.9269          | 0.1409    | 0.0471 | 0.0706 | 0.1592   |
| No log        | 0.77  | 30   | 2.7697          | 0.2328    | 0.1102 | 0.1496 | 0.2116   |
| No log        | 1.03  | 40   | 2.6158          | 0.4015    | 0.2895 | 0.3364 | 0.3455   |
| No log        | 1.28  | 50   | 2.4704          | 0.4495    | 0.3486 | 0.3927 | 0.3784   |
| No log        | 1.54  | 60   | 2.3492          | 0.4964    | 0.4070 | 0.4473 | 0.4195   |
| No log        | 1.79  | 70   | 2.2643          | 0.5243    | 0.4369 | 0.4766 | 0.4416   |
| No log        | 2.05  | 80   | 2.1982          | 0.5454    | 0.4588 | 0.4984 | 0.4574   |
| No log        | 2.31  | 90   | 2.1600          | 0.5516    | 0.4688 | 0.5068 | 0.4637   |
| No log        | 2.56  | 100  | 2.1471          | 0.5571    | 0.4728 | 0.5115 | 0.4681   |


### Framework versions

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