README.md

---
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_invoices-3
  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_invoices-3

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: 0.7938
- Precision: 0.9316
- Recall: 0.8
- F1: 0.8258
- Accuracy: 0.9833

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 4    | 1.3357          | 0.1867    | 0.2    | 0.1931 | 0.9333   |
| No log        | 2.0   | 8    | 1.0489          | 0.3898    | 0.4    | 0.3948 | 0.95     |
| 1.1732        | 3.0   | 12   | 0.8885          | 0.7281    | 0.6    | 0.6240 | 0.9667   |
| 1.1732        | 4.0   | 16   | 0.7938          | 0.9316    | 0.8    | 0.8258 | 0.9833   |
| 0.7498        | 5.0   | 20   | 0.7694          | 0.9316    | 0.8    | 0.8258 | 0.9833   |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1