generated_from_trainer

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perioli_vgm_v3.1

This model is a fine-tuned version of microsoft/layoutlmv3-large 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 1.08 100 0.1117 0.4396 0.3252 0.3738 0.9796
No log 2.15 200 0.1082 0.5957 0.4553 0.5161 0.9849
No log 3.23 300 0.1041 0.5752 0.5285 0.5508 0.9844
No log 4.3 400 0.1024 0.6944 0.6098 0.6494 0.9872
0.0553 5.38 500 0.0826 0.6364 0.6260 0.6311 0.9880
0.0553 6.45 600 0.0795 0.672 0.6829 0.6774 0.9888
0.0553 7.53 700 0.1035 0.6903 0.6341 0.6610 0.9883
0.0553 8.6 800 0.0913 0.8081 0.6504 0.7207 0.9905
0.0553 9.68 900 0.0901 0.6860 0.6748 0.6803 0.9886
0.0048 10.75 1000 0.0868 0.7168 0.6585 0.6864 0.9891
0.0048 11.83 1100 0.1281 0.7179 0.6829 0.7000 0.9877
0.0048 12.9 1200 0.0936 0.6803 0.6748 0.6776 0.9886
0.0048 13.98 1300 0.0862 0.6183 0.6585 0.6378 0.9883
0.0048 15.05 1400 0.1058 0.7009 0.6667 0.6833 0.9877
0.0013 16.13 1500 0.1182 0.6754 0.6260 0.6498 0.9874
0.0013 17.2 1600 0.1192 0.7069 0.6667 0.6862 0.9883
0.0013 18.28 1700 0.1209 0.6583 0.6423 0.6502 0.9880
0.0013 19.35 1800 0.1324 0.6552 0.6179 0.6360 0.9874
0.0013 20.43 1900 0.1310 0.6610 0.6341 0.6473 0.9874
0.0004 21.51 2000 0.1352 0.6610 0.6341 0.6473 0.9874
0.0004 22.58 2100 0.1379 0.6724 0.6341 0.6527 0.9877
0.0004 23.66 2200 0.1397 0.6991 0.6423 0.6695 0.9883
0.0004 24.73 2300 0.1384 0.6964 0.6341 0.6638 0.9886
0.0004 25.81 2400 0.1391 0.6964 0.6341 0.6638 0.9886
0.0002 26.88 2500 0.1395 0.6842 0.6341 0.6582 0.9880

Framework versions