layoutlmv3-finetuned_invoices-2

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: 1.0011
• Precision: 0.1863
• Recall: 0.2
• F1: 0.1929
• Accuracy: 0.9314

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: 2e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	4	1.0011	0.1863	0.2	0.1929	0.9314
No log	2.0	8	0.9025	0.1863	0.2	0.1929	0.9314
0.7637	3.0	12	0.8671	0.1863	0.2	0.1929	0.9314

Framework versions

• Transformers 4.44.0
• Pytorch 2.3.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1