---
library_name: transformers
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv3-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: layoutlmv3-ap5_5_stitched
  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. -->

# layoutlmv3-ap5_5_stitched

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: 0.0011
- 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch    | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
|:-------------:|:--------:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
| 0.4791        | 83.3333  | 250  | 0.0011          | 1.0       | 1.0    | 1.0 | 1.0      |
| 0.0017        | 166.6667 | 500  | 0.0004          | 1.0       | 1.0    | 1.0 | 1.0      |
| 0.0008        | 250.0    | 750  | 0.0003          | 1.0       | 1.0    | 1.0 | 1.0      |
| 0.0007        | 333.3333 | 1000 | 0.0003          | 1.0       | 1.0    | 1.0 | 1.0      |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0