| --- |
| license: mit |
| base_model: microsoft/layoutlm-base-uncased |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: layoutlmv3-custom_no_text |
| 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. --> |
|
|
| # layoutlmv3-custom_no_text |
|
|
| This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - eval_loss: 0.2406 |
| - eval_noise: {'precision': 0.772093023255814, 'recall': 0.8019323671497585, 'f1': 0.7867298578199052, 'number': 621} |
| - eval_signal: {'precision': 0.7472868217054264, 'recall': 0.77491961414791, 'f1': 0.7608524072612471, 'number': 622} |
| - eval_overall_precision: 0.7597 |
| - eval_overall_recall: 0.7884 |
| - eval_overall_f1: 0.7738 |
| - eval_overall_accuracy: 0.9518 |
| - eval_runtime: 1.0449 |
| - eval_samples_per_second: 34.452 |
| - eval_steps_per_second: 4.785 |
| - epoch: 19.0 |
| - step: 342 |
|
|
| ## 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: 3e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 50 |
| - mixed_precision_training: Native AMP |
|
|
| ### Framework versions |
|
|
| - Transformers 4.36.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
|
|
