layoutlmv3-ap5_1

This model is a fine-tuned version of microsoft/layoutlmv3-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0205
• Precision: 0.9333
• Recall: 0.7778
• F1: 0.8485
• Accuracy: 0.9948

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.2988	11.9048	250	0.0205	0.9333	0.7778	0.8485	0.9948
0.0029	23.8095	500	0.0275	0.8929	0.6944	0.7812	0.9931
0.0009	35.7143	750	0.0270	0.9	0.75	0.8182	0.9948
0.0007	47.6190	1000	0.0347	0.8621	0.6944	0.7692	0.9931

Framework versions

• Transformers 4.48.3
• Pytorch 2.5.1+cu124
• Datasets 3.3.2
• Tokenizers 0.21.0