| --- |
| 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 | |
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|
| ### Framework versions |
|
|
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
|
|
