layoutxlm-tc-finetuned

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layoutxlm-tc-finetuned

This model is a fine-tuned version of microsoft/layoutxlm-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2621
• Answer Precision: 0.8634
• Answer Recall: 0.9369
• Answer F1: 0.8986
• Answer Number: 317
• Header Precision: 0.7391
• Header Recall: 0.7846
• Header F1: 0.7612
• Header Number: 65
• Question Precision: 0.8589
• Question Recall: 0.9045
• Question F1: 0.8811
• Question Number: 377
• Overall Precision: 0.8506
• Overall Recall: 0.9078
• Overall F1: 0.8783
• Overall Accuracy: 0.9687

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: 5500

Training results

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3