Edit model card


This model is a fine-tuned version of SCUT-DLVCLab/lilt-roberta-en-base on the funsd-layoutlmv3 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
  • lr_scheduler_warmup_steps: 0.1
  • training_steps: 2

Framework versions

  • Transformers 4.24.0.dev0
  • Pytorch 1.12.0+cu113
  • Datasets 2.5.1
  • Tokenizers 0.12.1
Downloads last month
Hosted inference API
Token Classification
This model can be loaded on the Inference API on-demand.