Theivaprakasham/layoutlmv2-finetuned-sroie

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layoutlmv2-finetuned-sroie

This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on the sroie dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0291
• —Address Precision: 0.9341
• —Address Recall: 0.9395
• —Address F1: 0.9368
• —Address Number: 347
• —Company Precision: 0.9570
• —Company Recall: 0.9625
• —Company F1: 0.9598
• —Company Number: 347
• —Date Precision: 0.9885
• —Date Recall: 0.9885
• —Date F1: 0.9885
• —Date Number: 347
• —Total Precision: 0.9253
• —Total Recall: 0.9280
• —Total F1: 0.9266
• —Total Number: 347
• —Overall Precision: 0.9512
• —Overall Recall: 0.9546
• —Overall F1: 0.9529
• —Overall 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: 5e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —training_steps: 3000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.16.2
• —Pytorch 1.8.0+cu101
• —Datasets 1.18.4.dev0
• —Tokenizers 0.11.6