test

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: 0.1230
• Precision: 0.0
• Recall: 0.0
• F1: 0.0
• Accuracy: 0.9778

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	10.0	20	0.2306	0.0	0.0	0.0	0.9333
No log	20.0	40	0.0638	0.0	0.0	0.0	0.9778
No log	30.0	60	0.0727	0.0	0.0	0.0	0.9778
No log	40.0	80	0.0940	0.0	0.0	0.0	0.9778
No log	50.0	100	0.1230	0.0	0.0	0.0	0.9778

Framework versions

• Transformers 4.32.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3