generated_from_trainer

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rhenus_v2.0

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 1.25 250 0.1729 0.7857 0.7973 0.7915 0.9687
0.0306 2.5 500 0.2302 0.7665 0.7882 0.7772 0.9614
0.0306 3.75 750 0.1761 0.7438 0.8086 0.7748 0.9648
0.0216 5.0 1000 0.1935 0.7566 0.8063 0.7807 0.9663
0.0216 6.25 1250 0.2136 0.7684 0.7928 0.7804 0.9663
0.016 7.5 1500 0.2358 0.7702 0.7894 0.7796 0.9653
0.016 8.75 1750 0.2213 0.7627 0.8007 0.7812 0.9656
0.0101 10.0 2000 0.2142 0.7840 0.8222 0.8027 0.9690
0.0101 11.25 2250 0.2440 0.7710 0.7701 0.7705 0.9637
0.0077 12.5 2500 0.2447 0.7984 0.7848 0.7915 0.9680
0.0077 13.75 2750 0.2034 0.8045 0.8109 0.8077 0.9696
0.0057 15.0 3000 0.2531 0.8086 0.7848 0.7966 0.9693
0.0057 16.25 3250 0.2410 0.7789 0.7939 0.7863 0.9671
0.0054 17.5 3500 0.2406 0.7930 0.7939 0.7934 0.9677
0.0054 18.75 3750 0.2512 0.7815 0.7860 0.7837 0.9656
0.0034 20.0 4000 0.2149 0.8047 0.8120 0.8083 0.9690
0.0034 21.25 4250 0.2195 0.8149 0.8075 0.8111 0.9701
0.0022 22.5 4500 0.2185 0.7954 0.8143 0.8047 0.9690
0.0022 23.75 4750 0.2305 0.8086 0.8086 0.8086 0.9701
0.0018 25.0 5000 0.2266 0.7921 0.8199 0.8058 0.9693
0.0018 26.25 5250 0.2275 0.7952 0.8177 0.8063 0.9706
0.0013 27.5 5500 0.2322 0.8049 0.8177 0.8112 0.9716
0.0013 28.75 5750 0.2340 0.8054 0.8154 0.8104 0.9714
0.0011 30.0 6000 0.2385 0.8050 0.8086 0.8068 0.9704

Framework versions