generated_from_trainer

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LayoutLMv3_97_2

This model is a fine-tuned version of microsoft/layoutlmv3-large on the None 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 2.56 100 0.4807 0.6058 0.4966 0.5458 0.8297
No log 5.13 200 0.3940 0.7553 0.6088 0.6742 0.8771
No log 7.69 300 0.3804 0.7438 0.7109 0.7270 0.9008
No log 10.26 400 0.3900 0.8185 0.8129 0.8157 0.9096
0.2035 12.82 500 0.4102 0.8255 0.7721 0.7979 0.9087
0.2035 15.38 600 0.4077 0.8095 0.8095 0.8095 0.9148
0.2035 17.95 700 0.4915 0.7867 0.7653 0.7759 0.8982
0.2035 20.51 800 0.4861 0.8269 0.7959 0.8111 0.9131
0.2035 23.08 900 0.5051 0.7818 0.7313 0.7557 0.9052
0.0117 25.64 1000 0.5404 0.8303 0.7653 0.7965 0.9069
0.0117 28.21 1100 0.6110 0.8492 0.7279 0.7839 0.9061
0.0117 30.77 1200 0.5379 0.8014 0.7823 0.7917 0.9096
0.0117 33.33 1300 0.5343 0.8057 0.7755 0.7903 0.9131
0.0117 35.9 1400 0.5590 0.8333 0.7653 0.7979 0.9140
0.0013 38.46 1500 0.6296 0.8488 0.7449 0.7935 0.9122
0.0013 41.03 1600 0.6089 0.8421 0.7619 0.8 0.9122
0.0013 43.59 1700 0.5869 0.8291 0.7755 0.8014 0.9140
0.0013 46.15 1800 0.5847 0.8291 0.7755 0.8014 0.9140
0.0013 48.72 1900 0.5881 0.8285 0.7721 0.7993 0.9131
0.0004 51.28 2000 0.5892 0.8315 0.7721 0.8007 0.9122

Framework versions