---
license: cc-by-nc-sa-4.0
base_model: hmart824/layoutlmv3-finetuned_1.1
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: layoutlmv3-finetuned_1.3_modified
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# layoutlmv3-finetuned_1.3_modified

This model is a fine-tuned version of [hmart824/layoutlmv3-finetuned_1.1](https://huggingface.co/hmart824/layoutlmv3-finetuned_1.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7665
- Precision: 0.4465
- Recall: 0.4965
- F1: 0.4683
- Accuracy: 0.8851

## 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 | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.7868        | 1.0   | 24   | 0.8603          | 0.4444    | 0.4878 | 0.4608 | 0.8678   |
| 0.1898        | 2.0   | 48   | 0.9585          | 0.4367    | 0.4727 | 0.4468 | 0.8391   |
| 0.3115        | 3.0   | 72   | 0.7665          | 0.4465    | 0.4965 | 0.4683 | 0.8851   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1