generated_from_trainer

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LayoutLMv3_5_entities_7

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 0.1332 0.7154 0.8230 0.7654 0.9566
No log 5.13 200 0.1432 0.7698 0.8584 0.8117 0.9646
No log 7.69 300 0.1612 0.7805 0.8496 0.8136 0.9619
No log 10.26 400 0.1885 0.8333 0.8407 0.8370 0.9655
0.0796 12.82 500 0.2244 0.7724 0.8407 0.8051 0.9611
0.0796 15.38 600 0.2407 0.8017 0.8584 0.8291 0.9655
0.0796 17.95 700 0.2231 0.8167 0.8673 0.8412 0.9699
0.0796 20.51 800 0.2435 0.7967 0.8673 0.8305 0.9655
0.0796 23.08 900 0.2429 0.8167 0.8673 0.8412 0.9690
0.0043 25.64 1000 0.2304 0.8684 0.8761 0.8722 0.9735
0.0043 28.21 1100 0.2704 0.7823 0.8584 0.8186 0.9655
0.0043 30.77 1200 0.2647 0.8033 0.8673 0.8340 0.9673
0.0043 33.33 1300 0.2509 0.8115 0.8761 0.8426 0.9681
0.0043 35.9 1400 0.2561 0.7967 0.8673 0.8305 0.9664
0.0014 38.46 1500 0.2774 0.7823 0.8584 0.8186 0.9664
0.0014 41.03 1600 0.2580 0.7951 0.8584 0.8255 0.9673
0.0014 43.59 1700 0.2688 0.7937 0.8850 0.8368 0.9673
0.0014 46.15 1800 0.2706 0.8 0.8850 0.8403 0.9681
0.0014 48.72 1900 0.2608 0.8130 0.8850 0.8475 0.9690
0.0008 51.28 2000 0.2592 0.8130 0.8850 0.8475 0.9690

Framework versions