--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer datasets: - katanaml/cord model-index: - name: layoutlmv2-finetuned-cord results: - task: name: Token Classification type: token-classification dataset: name: katanaml/cord type: katanaml/cord args: katanaml/cord --- # layoutlmv2-finetuned-cord This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on the CORD dataset. ## Model description Model implementation code [Sparrow](https://github.com/katanaml/sparrow) ## 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 - lr_scheduler_warmup_ratio: 0.1 - training_steps: 1500 - mixed_precision_training: Native AMP ### Training results ### Framework versions - Transformers 4.17.0 - Pytorch 1.10.0+cu111 - Datasets 1.18.3 - Tokenizers 0.11.6