generated_from_trainer

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perioli_manifesti_v3.4

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 1.37 100 0.2707 0.6027 0.6723 0.6356 0.9309
No log 2.74 200 0.1815 0.7131 0.7860 0.7477 0.9469
No log 4.11 300 0.1749 0.7786 0.8258 0.8015 0.9580
No log 5.48 400 0.1742 0.7982 0.8390 0.8181 0.9601
0.2249 6.85 500 0.1471 0.7700 0.8371 0.8022 0.9590
0.2249 8.22 600 0.1908 0.7851 0.8371 0.8103 0.9580
0.2249 9.59 700 0.1710 0.7880 0.8447 0.8154 0.9601
0.2249 10.96 800 0.1801 0.7578 0.8239 0.7895 0.9580
0.2249 12.33 900 0.1796 0.7686 0.8239 0.7952 0.9569
0.0454 13.7 1000 0.1868 0.7776 0.8277 0.8018 0.9580
0.0454 15.07 1100 0.2048 0.7592 0.8239 0.7902 0.9562
0.0454 16.44 1200 0.1944 0.7627 0.8277 0.7938 0.9572
0.0454 17.81 1300 0.1980 0.7583 0.8201 0.7880 0.9558
0.0454 19.18 1400 0.2098 0.7632 0.8239 0.7923 0.9555
0.0269 20.55 1500 0.2080 0.7645 0.8239 0.7931 0.9555

Framework versions