---
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv3-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: fine-tuned-rvl-cdip
  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/david_hajdu/huggingface/runs/5lhu6ugu)
# fine-tuned-rvl-cdip

This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the https://www.kaggle.com/datasets/hajdudavid/rvl-dcip-sample dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9012
- F1: 0.7708

## 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: 16
- eval_batch_size: 16
- 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 96   | 2.0898          | 0.4661 |
| No log        | 2.0   | 192  | 1.2981          | 0.6510 |
| No log        | 3.0   | 288  | 1.0922          | 0.7161 |
| No log        | 4.0   | 384  | 0.9723          | 0.7474 |
| No log        | 5.0   | 480  | 0.9012          | 0.7708 |


### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1