generated_from_trainer

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LayoutLMv3_5_entities_3

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 0.1391 0.78 0.7222 0.7500 0.9575
No log 5.13 200 0.1103 0.8725 0.8241 0.8476 0.9720
No log 7.69 300 0.1415 0.8922 0.8426 0.8667 0.9739
No log 10.26 400 0.1649 0.8378 0.8611 0.8493 0.9710
0.0838 12.82 500 0.1545 0.8713 0.8148 0.8421 0.9729
0.0838 15.38 600 0.1396 0.8545 0.8704 0.8624 0.9749
0.0838 17.95 700 0.1523 0.8942 0.8611 0.8774 0.9768
0.0838 20.51 800 0.1718 0.8519 0.8519 0.8519 0.9710
0.0838 23.08 900 0.2242 0.87 0.8056 0.8365 0.9700
0.0044 25.64 1000 0.2165 0.88 0.8148 0.8462 0.9710
0.0044 28.21 1100 0.2235 0.8866 0.7963 0.8390 0.9681
0.0044 30.77 1200 0.2174 0.9 0.8333 0.8654 0.9739
0.0044 33.33 1300 0.1991 0.8692 0.8611 0.8651 0.9729
0.0044 35.9 1400 0.1986 0.8762 0.8519 0.8638 0.9739
0.0015 38.46 1500 0.2061 0.8713 0.8148 0.8421 0.9700
0.0015 41.03 1600 0.1970 0.8641 0.8241 0.8436 0.9710
0.0015 43.59 1700 0.2127 0.8614 0.8056 0.8325 0.9700
0.0015 46.15 1800 0.2070 0.875 0.8426 0.8585 0.9729
0.0015 48.72 1900 0.2097 0.8835 0.8426 0.8626 0.9729
0.0008 51.28 2000 0.2107 0.8835 0.8426 0.8626 0.9729

Framework versions