generated_from_trainer

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rhenus_v3.3

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 0.43 100 0.9034 0.0270 0.0010 0.0020 0.8485
No log 0.85 200 0.7801 0.0270 0.0010 0.0020 0.8485
No log 1.28 300 0.6812 0.0635 0.0041 0.0078 0.8490
No log 1.7 400 0.6205 0.2037 0.0912 0.1260 0.8599
0.7202 2.13 500 0.5414 0.2296 0.1285 0.1648 0.8682
0.7202 2.55 600 0.4841 0.3139 0.2010 0.2451 0.8769
0.7202 2.98 700 0.4284 0.3782 0.2477 0.2993 0.8931
0.7202 3.4 800 0.3919 0.4783 0.3762 0.4211 0.9028
0.7202 3.83 900 0.3352 0.5749 0.4891 0.5286 0.9223
0.367 4.26 1000 0.3130 0.5913 0.5368 0.5627 0.9300
0.367 4.68 1100 0.2665 0.6218 0.5979 0.6096 0.9358
0.367 5.11 1200 0.2553 0.6336 0.6218 0.6276 0.9398
0.367 5.53 1300 0.2521 0.6391 0.6570 0.6479 0.9376
0.367 5.96 1400 0.2140 0.6719 0.6684 0.6701 0.9474
0.197 6.38 1500 0.2143 0.6889 0.7181 0.7032 0.9497
0.197 6.81 1600 0.1994 0.7202 0.7202 0.7202 0.9528
0.197 7.23 1700 0.2078 0.6657 0.7202 0.6919 0.9473
0.197 7.66 1800 0.1871 0.7357 0.7440 0.7398 0.9562
0.197 8.09 1900 0.1904 0.7024 0.7606 0.7303 0.9533
0.1183 8.51 2000 0.1770 0.7398 0.7689 0.7541 0.9582
0.1183 8.94 2100 0.1684 0.7485 0.7710 0.7596 0.9590
0.1183 9.36 2200 0.1729 0.7412 0.7896 0.7647 0.9590
0.1183 9.79 2300 0.1610 0.765 0.7927 0.7786 0.9612
0.1183 10.21 2400 0.1570 0.7696 0.7927 0.7810 0.9635
0.0776 10.64 2500 0.1646 0.7854 0.8041 0.7947 0.9647
0.0776 11.06 2600 0.1605 0.7702 0.8197 0.7942 0.9659
0.0776 11.49 2700 0.1575 0.7856 0.8280 0.8063 0.9655
0.0776 11.91 2800 0.1566 0.7777 0.8228 0.7996 0.9665
0.0776 12.34 2900 0.1500 0.7840 0.8238 0.8034 0.9673
0.0586 12.77 3000 0.1577 0.7879 0.8238 0.8055 0.9686
0.0586 13.19 3100 0.1514 0.8100 0.8259 0.8179 0.9698
0.0586 13.62 3200 0.1597 0.7864 0.8394 0.8120 0.9679
0.0586 14.04 3300 0.1492 0.8118 0.8404 0.8259 0.9711
0.0586 14.47 3400 0.1496 0.8014 0.8404 0.8204 0.9700
0.0465 14.89 3500 0.1508 0.8061 0.8446 0.8249 0.9703
0.0465 15.32 3600 0.1539 0.8055 0.8497 0.8270 0.9697
0.0465 15.74 3700 0.1537 0.8073 0.8508 0.8285 0.9700
0.0465 16.17 3800 0.1505 0.8187 0.8518 0.8349 0.9716
0.0465 16.6 3900 0.1518 0.8158 0.8539 0.8344 0.9717
0.0399 17.02 4000 0.1519 0.8149 0.8528 0.8334 0.9717

Framework versions