generated_from_trainer

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LayoutLMv3_5_entities

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 0.1209 0.8602 0.7407 0.7960 0.9666
No log 5.13 200 0.1267 0.8365 0.8056 0.8208 0.9710
No log 7.69 300 0.1673 0.8830 0.7685 0.8218 0.9701
No log 10.26 400 0.1428 0.8911 0.8333 0.8612 0.9745
0.0687 12.82 500 0.1457 0.8636 0.8796 0.8716 0.9763
0.0687 15.38 600 0.1854 0.9062 0.8056 0.8529 0.9754
0.0687 17.95 700 0.1841 0.8835 0.8426 0.8626 0.9772
0.0687 20.51 800 0.1728 0.8505 0.8426 0.8465 0.9754
0.0687 23.08 900 0.1986 0.8505 0.8426 0.8465 0.9745
0.0038 25.64 1000 0.2087 0.8558 0.8241 0.8396 0.9737
0.0038 28.21 1100 0.1949 0.8545 0.8704 0.8624 0.9772
0.0038 30.77 1200 0.1954 0.8532 0.8611 0.8571 0.9763
0.0038 33.33 1300 0.1912 0.8624 0.8704 0.8664 0.9781
0.0038 35.9 1400 0.1926 0.8611 0.8611 0.8611 0.9772
0.0003 38.46 1500 0.1969 0.8692 0.8611 0.8651 0.9763
0.0003 41.03 1600 0.1979 0.8611 0.8611 0.8611 0.9772
0.0003 43.59 1700 0.1976 0.8598 0.8519 0.8558 0.9763
0.0003 46.15 1800 0.1979 0.8598 0.8519 0.8558 0.9763
0.0003 48.72 1900 0.1979 0.8679 0.8519 0.8598 0.9772
0.0001 51.28 2000 0.1966 0.8679 0.8519 0.8598 0.9772

Framework versions