generated_from_trainer

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rhenus_v2.0_cleared

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 0.91 100 2.3292 0.2072 0.1074 0.1415 0.3949
No log 1.82 200 1.5407 0.6009 0.5475 0.5730 0.6939
No log 2.73 300 0.9994 0.7174 0.6715 0.6937 0.8084
No log 3.64 400 0.7563 0.7692 0.7645 0.7668 0.8435
1.6153 4.55 500 0.5786 0.8071 0.8037 0.8054 0.8692
1.6153 5.45 600 0.5156 0.7988 0.7955 0.7971 0.8680
1.6153 6.36 700 0.4419 0.8693 0.8657 0.8675 0.8984
1.6153 7.27 800 0.3940 0.8786 0.8822 0.8804 0.9077
1.6153 8.18 900 0.3359 0.9156 0.9194 0.9175 0.9252
0.4054 9.09 1000 0.3066 0.9262 0.9339 0.9300 0.9381
0.4054 10.0 1100 0.2570 0.9270 0.9442 0.9355 0.9568
0.4054 10.91 1200 0.2439 0.9406 0.9483 0.9444 0.9603
0.4054 11.82 1300 0.2378 0.9446 0.9504 0.9475 0.9614
0.4054 12.73 1400 0.2502 0.9388 0.9504 0.9446 0.9521
0.1461 13.64 1500 0.2008 0.9569 0.9628 0.9598 0.9696
0.1461 14.55 1600 0.2454 0.9446 0.9504 0.9475 0.9544
0.1461 15.45 1700 0.2234 0.9609 0.9649 0.9629 0.9673
0.1461 16.36 1800 0.2408 0.9526 0.9545 0.9536 0.9544
0.1461 17.27 1900 0.2620 0.9545 0.9545 0.9545 0.9544
0.0693 18.18 2000 0.2170 0.9588 0.9628 0.9608 0.9673
0.0693 19.09 2100 0.2408 0.9588 0.9607 0.9598 0.9603
0.0693 20.0 2200 0.2450 0.9506 0.9545 0.9526 0.9556
0.0693 20.91 2300 0.2437 0.9545 0.9545 0.9545 0.9544
0.0693 21.82 2400 0.2173 0.9548 0.9607 0.9578 0.9685
0.0472 22.73 2500 0.2428 0.9485 0.9504 0.9494 0.9626
0.0472 23.64 2600 0.2659 0.9525 0.9525 0.9525 0.9533
0.0472 24.55 2700 0.2713 0.9566 0.9566 0.9566 0.9556
0.0472 25.45 2800 0.2803 0.9545 0.9545 0.9545 0.9544
0.0472 26.36 2900 0.2779 0.9566 0.9566 0.9566 0.9556
0.0356 27.27 3000 0.2695 0.9566 0.9566 0.9566 0.9556

Framework versions