layoutxlm-finetuned-xfund-it-re

This model is a fine-tuned version of orlcast/layoutxlm-finetuned-xfund-it-re on the xfun dataset. It achieves the following results on the evaluation set:

• Precision: 0.5092
• Recall: 0.7450
• F1: 0.6050
• Loss: 0.0020

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: 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: 4000

Training results

Framework versions

• Transformers 4.23.0.dev0
• Pytorch 1.10.0+cu111
• Datasets 2.6.1
• Tokenizers 0.12.1