| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: TomasFAV/BERTInvoiceCzechV0 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - precision |
| - recall |
| - f1 |
| - accuracy |
| model-index: |
| - name: BERTInvoiceCzechV03 |
| 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. --> |
|
|
| # BERTInvoiceCzechV03 |
|
|
| This model is a fine-tuned version of [TomasFAV/BERTInvoiceCzechV0](https://huggingface.co/TomasFAV/BERTInvoiceCzechV0) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0683 |
| - Precision: 0.8635 |
| - Recall: 0.8866 |
| - F1: 0.8749 |
| - Accuracy: 0.9833 |
|
|
| ## 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: 16 |
| - eval_batch_size: 2 |
| - 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 | 20 | 0.1657 | 0.6566 | 0.7456 | 0.6983 | 0.9547 | |
| | No log | 2.0 | 40 | 0.1222 | 0.7308 | 0.7821 | 0.7556 | 0.9653 | |
| | No log | 3.0 | 60 | 0.1044 | 0.7512 | 0.8233 | 0.7856 | 0.9707 | |
| | No log | 4.0 | 80 | 0.0872 | 0.7799 | 0.8532 | 0.8149 | 0.9747 | |
| | No log | 5.0 | 100 | 0.0897 | 0.7791 | 0.8808 | 0.8268 | 0.9748 | |
| | No log | 6.0 | 120 | 0.0850 | 0.7725 | 0.8730 | 0.8197 | 0.9742 | |
| | No log | 7.0 | 140 | 0.0704 | 0.8433 | 0.88 | 0.8613 | 0.9812 | |
| | No log | 8.0 | 160 | 0.0749 | 0.8291 | 0.8649 | 0.8466 | 0.9799 | |
| | No log | 9.0 | 180 | 0.0752 | 0.8187 | 0.8753 | 0.8461 | 0.9794 | |
| | No log | 10.0 | 200 | 0.0687 | 0.8440 | 0.8761 | 0.8598 | 0.9815 | |
| | No log | 11.0 | 220 | 0.0671 | 0.8436 | 0.8816 | 0.8621 | 0.9820 | |
| | No log | 12.0 | 240 | 0.0711 | 0.8376 | 0.8913 | 0.8636 | 0.9809 | |
| | No log | 13.0 | 260 | 0.0683 | 0.8638 | 0.8870 | 0.8753 | 0.9833 | |
| | No log | 14.0 | 280 | 0.0686 | 0.8488 | 0.8870 | 0.8675 | 0.9818 | |
| | No log | 15.0 | 300 | 0.0690 | 0.8439 | 0.8816 | 0.8623 | 0.9816 | |
| | No log | 16.0 | 320 | 0.0669 | 0.8469 | 0.8827 | 0.8644 | 0.9819 | |
| | No log | 17.0 | 340 | 0.0699 | 0.8404 | 0.8897 | 0.8644 | 0.9814 | |
| | No log | 18.0 | 360 | 0.0684 | 0.8532 | 0.8870 | 0.8698 | 0.9825 | |
| | No log | 19.0 | 380 | 0.0701 | 0.8408 | 0.8920 | 0.8656 | 0.9815 | |
| | No log | 20.0 | 400 | 0.0685 | 0.8560 | 0.8909 | 0.8731 | 0.9827 | |
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|
| ### Framework versions |
|
|
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
|
|
