| --- |
| library_name: transformers |
| license: cc-by-nc-sa-4.0 |
| base_model: microsoft/layoutlmv2-base-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - precision |
| - recall |
| - f1 |
| - accuracy |
| model-index: |
| - name: layoutlmv2_output |
| 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. --> |
|
|
| # layoutlmv2_output |
| |
| This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3471 |
| - Precision: 0.8712 |
| - Recall: 0.8742 |
| - F1: 0.8727 |
| - Accuracy: 0.9288 |
| |
| ## 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: 5e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
| |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | 0.3415 | 0.8772 | 500 | 0.4834 | 0.8227 | 0.8343 | 0.8285 | 0.8966 | |
| | 0.228 | 1.7544 | 1000 | 0.3607 | 0.8591 | 0.8528 | 0.8559 | 0.9170 | |
| | 0.1769 | 2.6316 | 1500 | 0.3408 | 0.8571 | 0.8556 | 0.8563 | 0.9208 | |
| | 0.1183 | 3.5088 | 2000 | 0.3570 | 0.8661 | 0.8579 | 0.8620 | 0.9208 | |
| | 0.0915 | 4.3860 | 2500 | 0.3603 | 0.8644 | 0.8702 | 0.8673 | 0.9256 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.51.3 |
| - Pytorch 2.7.0+cu126 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.1 |
| |
