generated_from_trainer

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vgm_model_0.2

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 1.33 100 0.0826 0.1538 0.0348 0.0567 0.9783
No log 2.67 200 0.0633 0.4907 0.4609 0.4753 0.9859
No log 4.0 300 0.0433 0.7358 0.6783 0.7059 0.9927
No log 5.33 400 0.0412 0.76 0.6609 0.7070 0.9916
0.0937 6.67 500 0.0390 0.6885 0.7304 0.7089 0.9919
0.0937 8.0 600 0.0400 0.7177 0.7739 0.7448 0.9914
0.0937 9.33 700 0.0457 0.7619 0.6957 0.7273 0.9924
0.0937 10.67 800 0.0370 0.7154 0.8087 0.7592 0.9922
0.0937 12.0 900 0.0369 0.7759 0.7826 0.7792 0.9945
0.0105 13.33 1000 0.0373 0.7672 0.7739 0.7706 0.9940
0.0105 14.67 1100 0.0419 0.8190 0.7478 0.7818 0.9940
0.0105 16.0 1200 0.0396 0.8018 0.7739 0.7876 0.9945
0.0105 17.33 1300 0.0428 0.7568 0.7304 0.7434 0.9940
0.0105 18.67 1400 0.0450 0.7522 0.7391 0.7456 0.9940
0.003 20.0 1500 0.0397 0.7541 0.8 0.7764 0.9937
0.003 21.33 1600 0.0415 0.8349 0.7913 0.8125 0.9948
0.003 22.67 1700 0.0427 0.7739 0.7739 0.7739 0.9945
0.003 24.0 1800 0.0455 0.7727 0.7391 0.7556 0.9935
0.003 25.33 1900 0.0464 0.7830 0.7217 0.7511 0.9932
0.0016 26.67 2000 0.0477 0.8 0.7304 0.7636 0.9935

Framework versions