generated_from_trainer

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invoice_clients_CAD.0

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 0.78 100 0.4639 0.3014 0.0383 0.0680 0.8999
No log 1.55 200 0.3762 0.2624 0.0645 0.1035 0.9078
No log 2.33 300 0.3180 0.3872 0.2840 0.3276 0.9303
No log 3.1 400 0.2577 0.5460 0.3310 0.4121 0.9414
0.4395 3.88 500 0.2410 0.5443 0.3641 0.4363 0.9477
0.4395 4.65 600 0.2205 0.6449 0.4303 0.5162 0.9525
0.4395 5.43 700 0.2154 0.5960 0.4164 0.4903 0.9508
0.4395 6.2 800 0.2252 0.5841 0.4233 0.4909 0.9532
0.4395 6.98 900 0.2039 0.6397 0.4826 0.5501 0.9582
0.1677 7.75 1000 0.1888 0.6080 0.5052 0.5519 0.9593
0.1677 8.53 1100 0.1869 0.5599 0.4965 0.5263 0.9577
0.1677 9.3 1200 0.1701 0.5833 0.5366 0.5590 0.9594
0.1677 10.08 1300 0.1786 0.6292 0.5557 0.5902 0.9612
0.1677 10.85 1400 0.1745 0.6356 0.5470 0.5880 0.9600
0.0902 11.63 1500 0.1746 0.6346 0.5627 0.5965 0.9623
0.0902 12.4 1600 0.1687 0.5975 0.5819 0.5896 0.9606
0.0902 13.18 1700 0.1736 0.6594 0.5836 0.6192 0.9631
0.0902 13.95 1800 0.1766 0.6530 0.5836 0.6164 0.9624
0.0902 14.73 1900 0.1712 0.6737 0.6080 0.6392 0.9623
0.0584 15.5 2000 0.1746 0.6680 0.5923 0.6279 0.9624

Framework versions