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

# LayoutLM_3

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: 0.7776
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.7851

## 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-06
- 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        | 3.03  | 100  | 1.1551          | 0.0       | 0.0    | 0.0 | 0.7851   |
| No log        | 6.06  | 200  | 0.9739          | 0.0       | 0.0    | 0.0 | 0.7851   |
| No log        | 9.09  | 300  | 0.9131          | 0.0       | 0.0    | 0.0 | 0.7851   |
| No log        | 12.12 | 400  | 0.8722          | 0.0       | 0.0    | 0.0 | 0.7851   |
| 1.0495        | 15.15 | 500  | 0.8338          | 0.0       | 0.0    | 0.0 | 0.7851   |
| 1.0495        | 18.18 | 600  | 0.8131          | 0.0       | 0.0    | 0.0 | 0.7851   |
| 1.0495        | 21.21 | 700  | 0.8001          | 0.0       | 0.0    | 0.0 | 0.7851   |
| 1.0495        | 24.24 | 800  | 0.7874          | 0.0       | 0.0    | 0.0 | 0.7851   |
| 1.0495        | 27.27 | 900  | 0.7797          | 0.0       | 0.0    | 0.0 | 0.7851   |
| 0.6789        | 30.3  | 1000 | 0.7776          | 0.0       | 0.0    | 0.0 | 0.7851   |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3