---
license: cc-by-nc-sa-4.0
base_model: hmart824/layoutlmv3-finetuned_0.1.1
tags:
- generated_from_trainer
model-index:
- name: layoutlmv3-finetuned_0.1.2
  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-finetuned_0.1.2

This model is a fine-tuned version of [hmart824/layoutlmv3-finetuned_0.1.1](https://huggingface.co/hmart824/layoutlmv3-finetuned_0.1.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2144

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 24   | 0.3299          |
| No log        | 2.0   | 48   | 0.2039          |
| No log        | 3.0   | 72   | 0.2144          |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1