generated_from_trainer

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

sogemi_ddt_1.0

This model is a fine-tuned version of microsoft/layoutlmv3-base on the sroie dataset. It achieves the following results on the evaluation set:

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:

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
No log 1.35 100 0.6022 0.2061 0.0774 0.1125 0.8634
No log 2.7 200 0.3445 0.4627 0.3381 0.3907 0.9051
No log 4.05 300 0.1820 0.7524 0.6619 0.7043 0.9583
No log 5.41 400 0.1141 0.8742 0.8166 0.8444 0.9812
0.3555 6.76 500 0.0719 0.9229 0.9255 0.9242 0.9867
0.3555 8.11 600 0.0526 0.9202 0.9255 0.9229 0.9881
0.3555 9.46 700 0.0531 0.9197 0.9513 0.9352 0.9862
0.3555 10.81 800 0.0454 0.9167 0.9140 0.9154 0.9872
0.3555 12.16 900 0.0447 0.9284 0.9284 0.9284 0.9895
0.0479 13.51 1000 0.0436 0.9370 0.9370 0.9370 0.9872
0.0479 14.86 1100 0.0383 0.9385 0.9628 0.9505 0.9913
0.0479 16.22 1200 0.0389 0.9468 0.9685 0.9575 0.9908
0.0479 17.57 1300 0.0349 0.9743 0.9771 0.9757 0.9945
0.0479 18.92 1400 0.0329 0.9885 0.9857 0.9871 0.9954
0.0244 20.27 1500 0.0380 0.9412 0.9628 0.9518 0.9917
0.0244 21.62 1600 0.0447 0.8917 0.9198 0.9055 0.9853
0.0244 22.97 1700 0.0434 0.9148 0.9542 0.9341 0.9876
0.0244 24.32 1800 0.0444 0.9280 0.9599 0.9437 0.9890
0.0244 25.68 1900 0.0386 0.9361 0.9656 0.9506 0.9913
0.015 27.03 2000 0.0381 0.9415 0.9685 0.9548 0.9917
0.015 28.38 2100 0.0341 0.9577 0.9742 0.9659 0.9936
0.015 29.73 2200 0.0340 0.9715 0.9771 0.9743 0.9945
0.015 31.08 2300 0.0365 0.9493 0.9656 0.9574 0.9931
0.015 32.43 2400 0.0398 0.9339 0.9713 0.9522 0.9913
0.0123 33.78 2500 0.0375 0.9443 0.9713 0.9576 0.9927

Framework versions