---
library_name: transformers
license: cc-by-nc-sa-4.0
base_model: TomasFAV/Layoutlmv3InvoiceCzechV0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: Layoutlmv3InvoiceCzechV03
  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. -->

# Layoutlmv3InvoiceCzechV03

This model is a fine-tuned version of [TomasFAV/Layoutlmv3InvoiceCzechV0](https://huggingface.co/TomasFAV/Layoutlmv3InvoiceCzechV0) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0415
- Precision: 0.8985
- Recall: 0.9289
- F1: 0.9135
- Accuracy: 0.9921

## 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: 8
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 23   | 0.1122          | 0.6618    | 0.7648 | 0.7096 | 0.9714   |
| No log        | 2.0   | 46   | 0.0820          | 0.7325    | 0.8477 | 0.7859 | 0.9793   |
| No log        | 3.0   | 69   | 0.0584          | 0.8167    | 0.8596 | 0.8376 | 0.9860   |
| No log        | 4.0   | 92   | 0.0536          | 0.8323    | 0.9069 | 0.8680 | 0.9882   |
| No log        | 5.0   | 115  | 0.0477          | 0.8390    | 0.9171 | 0.8763 | 0.9890   |
| No log        | 6.0   | 138  | 0.0497          | 0.8717    | 0.8849 | 0.8783 | 0.9899   |
| No log        | 7.0   | 161  | 0.0424          | 0.8549    | 0.9171 | 0.8849 | 0.9901   |
| No log        | 8.0   | 184  | 0.0426          | 0.8728    | 0.9171 | 0.8944 | 0.9911   |
| No log        | 9.0   | 207  | 0.0472          | 0.8799    | 0.9052 | 0.8924 | 0.9905   |
| No log        | 10.0  | 230  | 0.0471          | 0.8704    | 0.9205 | 0.8947 | 0.9905   |
| No log        | 11.0  | 253  | 0.0432          | 0.8860    | 0.9205 | 0.9029 | 0.9913   |
| No log        | 12.0  | 276  | 0.0466          | 0.8861    | 0.9086 | 0.8972 | 0.9913   |
| No log        | 13.0  | 299  | 0.0438          | 0.9003    | 0.9171 | 0.9086 | 0.9918   |
| No log        | 14.0  | 322  | 0.0423          | 0.8831    | 0.9205 | 0.9014 | 0.9914   |
| No log        | 15.0  | 345  | 0.0410          | 0.8916    | 0.9188 | 0.9050 | 0.9916   |
| No log        | 16.0  | 368  | 0.0448          | 0.8947    | 0.9205 | 0.9074 | 0.9918   |
| No log        | 17.0  | 391  | 0.0410          | 0.9010    | 0.9239 | 0.9123 | 0.9921   |
| No log        | 18.0  | 414  | 0.0415          | 0.8985    | 0.9289 | 0.9135 | 0.9921   |
| No log        | 19.0  | 437  | 0.0425          | 0.8962    | 0.9205 | 0.9082 | 0.9917   |
| No log        | 20.0  | 460  | 0.0422          | 0.8962    | 0.9205 | 0.9082 | 0.9918   |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2