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

# test

This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0203
- 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: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 2.5   | 100  | 0.5488          | 0.9140    | 0.8379 | 0.8743 | 0.9448   |
| No log        | 5.0   | 200  | 0.1142          | 1.0       | 1.0    | 1.0    | 1.0      |
| No log        | 7.5   | 300  | 0.0433          | 1.0       | 1.0    | 1.0    | 1.0      |
| No log        | 10.0  | 400  | 0.0274          | 1.0       | 1.0    | 1.0    | 1.0      |
| 0.4317        | 12.5  | 500  | 0.0203          | 1.0       | 1.0    | 1.0    | 1.0      |
| 0.4317        | 15.0  | 600  | 0.0165          | 1.0       | 1.0    | 1.0    | 1.0      |
| 0.4317        | 17.5  | 700  | 0.0143          | 1.0       | 1.0    | 1.0    | 1.0      |
| 0.4317        | 20.0  | 800  | 0.0129          | 1.0       | 1.0    | 1.0    | 1.0      |
| 0.4317        | 22.5  | 900  | 0.0121          | 1.0       | 1.0    | 1.0    | 1.0      |
| 0.0248        | 25.0  | 1000 | 0.0119          | 1.0       | 1.0    | 1.0    | 1.0      |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1