---
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv3-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: layoutlmv3-finetuned-invoice
  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-finetuned-invoice

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: 0.2640
- Precision: 1.0
- Recall: 1.0
- F1: 1.0
- Accuracy: 1.0

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 800

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.56  | 100  | 2.1602          | 0.1927    | 0.1246 | 0.1514 | 0.4404   |
| No log        | 3.12  | 200  | 1.3966          | 0.7963    | 0.7656 | 0.7806 | 0.7663   |
| No log        | 4.69  | 300  | 0.8001          | 0.9852    | 0.9852 | 0.9852 | 0.9371   |
| No log        | 6.25  | 400  | 0.4385          | 1.0       | 1.0    | 1.0    | 1.0      |
| 1.4289        | 7.81  | 500  | 0.2640          | 1.0       | 1.0    | 1.0    | 1.0      |
| 1.4289        | 9.38  | 600  | 0.1747          | 1.0       | 1.0    | 1.0    | 1.0      |
| 1.4289        | 10.94 | 700  | 0.1377          | 1.0       | 1.0    | 1.0    | 1.0      |
| 1.4289        | 12.5  | 800  | 0.1270          | 1.0       | 1.0    | 1.0    | 1.0      |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0