---
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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1230
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.9778

## 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: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
| No log        | 10.0  | 20   | 0.2306          | 0.0       | 0.0    | 0.0 | 0.9333   |
| No log        | 20.0  | 40   | 0.0638          | 0.0       | 0.0    | 0.0 | 0.9778   |
| No log        | 30.0  | 60   | 0.0727          | 0.0       | 0.0    | 0.0 | 0.9778   |
| No log        | 40.0  | 80   | 0.0940          | 0.0       | 0.0    | 0.0 | 0.9778   |
| No log        | 50.0  | 100  | 0.1230          | 0.0       | 0.0    | 0.0 | 0.9778   |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3