layoutxlm-finetuned-xfund-de-re

This model is a fine-tuned version of microsoft/layoutxlm-base on an unknown dataset. It achieves the following results on the evaluation set:

• Precision: 0.4499
• Recall: 0.7114
• F1: 0.5512
• Loss: 0.1981

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: 3000

Training results

Framework versions

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