generated_from_trainer

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perioli_vgm_v3.0

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 0.94 100 0.1390 0.1538 0.0292 0.0491 0.9768
No log 1.89 200 0.1011 0.4674 0.3139 0.3755 0.9820
No log 2.83 300 0.0857 0.4896 0.3431 0.4034 0.9836
No log 3.77 400 0.0836 0.6053 0.5036 0.5498 0.9872
0.0974 4.72 500 0.0751 0.5369 0.5839 0.5594 0.9858
0.0974 5.66 600 0.0808 0.6493 0.6350 0.6421 0.9872
0.0974 6.6 700 0.0760 0.6231 0.5912 0.6067 0.9876
0.0974 7.55 800 0.0906 0.5942 0.5985 0.5964 0.9843
0.0974 8.49 900 0.0831 0.6693 0.6204 0.6439 0.9872
0.0169 9.43 1000 0.0907 0.6538 0.6204 0.6367 0.9858
0.0169 10.38 1100 0.0834 0.6535 0.6058 0.6288 0.9879
0.0169 11.32 1200 0.0861 0.6721 0.5985 0.6332 0.9883
0.0169 12.26 1300 0.0930 0.6 0.5693 0.5843 0.9849
0.0169 13.21 1400 0.0976 0.625 0.5839 0.6038 0.9861
0.0058 14.15 1500 0.0933 0.5827 0.5912 0.5870 0.9863
0.0058 15.09 1600 0.0892 0.6429 0.5912 0.6160 0.9885
0.0058 16.04 1700 0.0889 0.6613 0.5985 0.6284 0.9888
0.0058 16.98 1800 0.0918 0.6723 0.5839 0.625 0.9881
0.0058 17.92 1900 0.0924 0.6512 0.6131 0.6316 0.9879
0.003 18.87 2000 0.0958 0.6803 0.6058 0.6409 0.9881
0.003 19.81 2100 0.0941 0.6923 0.5912 0.6378 0.9888
0.003 20.75 2200 0.0966 0.6349 0.5839 0.6084 0.9876
0.003 21.7 2300 0.0973 0.6423 0.5766 0.6077 0.9879
0.003 22.64 2400 0.0965 0.6585 0.5912 0.6231 0.9881
0.0015 23.58 2500 0.0975 0.6585 0.5912 0.6231 0.9881

Framework versions