| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - funsd | |
| model_index: | |
| - name: layoutlmv2-finetuned-funsd | |
| results: | |
| - task: | |
| name: Token Classification | |
| type: token-classification | |
| dataset: | |
| name: funsd | |
| type: funsd | |
| args: funsd | |
| base_model: microsoft/layoutlmv2-base-uncased | |
| <!-- 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-finetuned-funsd | |
| This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on the funsd dataset. | |
| ## 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: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - training_steps: 1000 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.9.0.dev0 | |
| - Pytorch 1.8.0+cu101 | |
| - Datasets 1.9.0 | |
| - Tokenizers 0.10.3 | |