---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: complete-prova
  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. -->

# complete-prova

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: 0.4074
- Precision: 0.5533
- Recall: 0.3424
- F1: 0.4230
- Accuracy: 0.9092

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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 0.76  | 100  | 0.6181          | 0.0       | 0.0    | 0.0    | 0.8733   |
| No log        | 1.52  | 200  | 0.5377          | 0.4167    | 0.0485 | 0.0869 | 0.8792   |
| No log        | 2.27  | 300  | 0.4737          | 0.4286    | 0.1222 | 0.1902 | 0.8870   |
| No log        | 3.03  | 400  | 0.4254          | 0.5152    | 0.3278 | 0.4007 | 0.9063   |
| 0.5393        | 3.79  | 500  | 0.4074          | 0.5533    | 0.3424 | 0.4230 | 0.9092   |


### Framework versions

- Transformers 4.25.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.6.1
- Tokenizers 0.13.2