lilt-en-funsd

This model is a fine-tuned version of SCUT-DLVCLab/lilt-roberta-en-base on the funsd-layoutlmv3 dataset. It achieves the following results on the evaluation set:

• Loss: 1.2946
• Answer: {'precision': 0.8767772511848341, 'recall': 0.9057527539779682, 'f1': 0.8910295003010236, 'number': 817}
• Header: {'precision': 0.6106194690265486, 'recall': 0.5798319327731093, 'f1': 0.5948275862068966, 'number': 119}
• Question: {'precision': 0.885766092475068, 'recall': 0.9071494893221913, 'f1': 0.8963302752293578, 'number': 1077}
• Overall Precision: 0.8670
• Overall Recall: 0.8872
• Overall F1: 0.8770
• Overall Accuracy: 0.8038

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
• num_epochs: 4

Training results

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.3
• Tokenizers 0.13.3