layoutlmv3-ap7_11_stitched_16_batch_4e5

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: 0.0229
• Precision: 0.9565
• Recall: 0.7857
• F1: 0.8627
• Accuracy: 0.9975

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: 4e-05
• train_batch_size: 16
• eval_batch_size: 16
• 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
0.2919	50.0	250	0.0264	0.68	0.6071	0.6415	0.9963
0.0045	100.0	500	0.0229	0.9565	0.7857	0.8627	0.9975
0.0012	150.0	750	0.0282	0.7059	0.8571	0.7742	0.9961
0.0008	200.0	1000	0.0244	0.8214	0.8214	0.8214	0.9970

Framework versions

• Transformers 4.49.0
• Pytorch 2.6.0+cu124
• Datasets 3.4.1
• Tokenizers 0.21.1