layoutlmv3-ap7_1_ip

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: 0.0246
• Precision: 0.7719
• Recall: 0.8302
• F1: 0.8
• Accuracy: 0.9961

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: 8
• eval_batch_size: 8
• 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
0.5176	14.7059	250	0.0664	0.45	0.1698	0.2466	0.9881
0.0288	29.4118	500	0.0354	0.6538	0.6415	0.6476	0.9930
0.0143	44.1176	750	0.0269	0.7333	0.8302	0.7788	0.9956
0.0098	58.8235	1000	0.0246	0.7719	0.8302	0.8	0.9961

Framework versions

• Transformers 4.48.3
• Pytorch 2.6.0+cu124
• Datasets 3.4.1
• Tokenizers 0.21.1