layoutlmv3-finetuned-cord_100

This model is a fine-tuned version of microsoft/layoutlmv3-base on the cord-layoutlmv3 dataset. It achieves the following results on the evaluation set:

• Loss: 3.4767
• Precision: 0.4175
• Recall: 0.4506
• F1: 0.4334
• Accuracy: 0.3506

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: 5
• eval_batch_size: 5
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	0.5	20	3.5573	0.3937	0.4558	0.4225	0.3587

Framework versions

• Transformers 4.42.4
• Pytorch 2.1.1+cpu
• Datasets 2.20.0
• Tokenizers 0.19.1