| license: cc-by-nc-sa-4.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - nielsr/XFUN | |
| metrics: | |
| - precision | |
| - recall | |
| - f1 | |
| inference: false | |
| base_model: microsoft/layoutxlm-base | |
| model-index: | |
| - name: layoutxlm-finetuned-xfund-fr-re | |
| results: [] | |
| # layoutxlm-finetuned-xfund-fr-re | |
| This model is a fine-tuned version of [microsoft/layoutxlm-base](https://huggingface.co/microsoft/layoutxlm-base) on the [XFUND](https://github.com/doc-analysis/XFUND) dataset (French split). | |
| It achieves the following results on the evaluation set: | |
| - Precision: 0.4533 | |
| - Recall: 0.7475 | |
| - F1: 0.5644 | |
| - Loss: 0.1609 | |
| ## Model description | |
| More information needed | |
| ## Intended uses & limitations | |
| More information needed | |
| ## Training and evaluation data | |
| This checkpoint used the French portion of the multilingual [XFUND](https://github.com/doc-analysis/XFUND) dataset. | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 1e-05 | |
| - train_batch_size: 2 | |
| - eval_batch_size: 2 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_ratio: 0.1 | |
| - training_steps: 5000 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.23.0.dev0 | |
| - Pytorch 1.10.0+cu111 | |
| - Datasets 2.4.0 | |
| - Tokenizers 0.12.1 | |