generated_from_trainer

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EElayoutlmv3_jordyvl_rvl_cdip_100_examples_per_class_2023-05-17_gofor50

This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown 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 Accuracy Exit 0 Accuracy Exit 1 Accuracy Exit 2 Accuracy Exit 3 Accuracy Exit 4 Accuracy
No log 0.96 12 2.6817 0.1475 0.0825 0.0525 0.1225 0.0625 0.0625
No log 2.0 25 2.5448 0.235 0.0875 0.1125 0.0875 0.12 0.0625
No log 2.96 37 2.3948 0.2825 0.105 0.14 0.205 0.21 0.0625
No log 4.0 50 2.4502 0.3125 0.1125 0.1425 0.2 0.1725 0.22
No log 4.96 62 2.1482 0.385 0.11 0.145 0.2925 0.3275 0.275
No log 6.0 75 1.8840 0.465 0.1175 0.1475 0.33 0.4075 0.4925
No log 6.96 87 1.6813 0.5725 0.1225 0.16 0.3475 0.4475 0.55
No log 8.0 100 1.5199 0.605 0.13 0.1575 0.3375 0.5 0.585
No log 8.96 112 1.4031 0.6125 0.1325 0.1575 0.365 0.5325 0.6025
No log 10.0 125 1.3312 0.62 0.13 0.1575 0.3825 0.565 0.62
No log 10.96 137 1.2133 0.6575 0.1175 0.1575 0.385 0.605 0.6275
No log 12.0 150 1.1805 0.68 0.135 0.1675 0.38 0.6225 0.645
No log 12.96 162 1.1987 0.6625 0.12 0.165 0.4075 0.63 0.645
No log 14.0 175 1.1304 0.6975 0.12 0.17 0.41 0.6375 0.6725
No log 14.96 187 1.1333 0.695 0.125 0.1675 0.42 0.655 0.675
No log 16.0 200 1.1373 0.6975 0.1425 0.1725 0.4375 0.655 0.6825
No log 16.96 212 1.0988 0.7125 0.1475 0.165 0.44 0.66 0.6975
No log 18.0 225 1.1830 0.7 0.125 0.165 0.455 0.675 0.69
No log 18.96 237 1.1827 0.685 0.13 0.1575 0.45 0.665 0.6825
No log 20.0 250 1.2335 0.695 0.125 0.1575 0.455 0.6675 0.685
No log 20.96 262 1.2793 0.6625 0.135 0.1575 0.4475 0.665 0.6775
No log 22.0 275 1.2136 0.71 0.14 0.155 0.4675 0.6775 0.6925
No log 22.96 287 1.1790 0.7025 0.135 0.16 0.4725 0.6725 0.6975
No log 24.0 300 1.2636 0.6825 0.125 0.1625 0.4375 0.6675 0.6825
No log 24.96 312 1.2949 0.6775 0.1225 0.165 0.46 0.6625 0.685
No log 26.0 325 1.2979 0.685 0.135 0.1625 0.455 0.69 0.6925
No log 26.96 337 1.3059 0.6825 0.1375 0.1675 0.475 0.675 0.69
No log 28.0 350 1.3239 0.6975 0.1375 0.17 0.4725 0.68 0.705
No log 28.96 362 1.3181 0.7 0.1325 0.1725 0.465 0.6725 0.695
No log 30.0 375 1.3978 0.68 0.1375 0.1675 0.4825 0.6825 0.68
No log 30.96 387 1.2876 0.715 0.14 0.175 0.49 0.6925 0.7125
No log 32.0 400 1.3233 0.6975 0.1475 0.1725 0.4875 0.6975 0.705
No log 32.96 412 1.3607 0.7 0.135 0.1725 0.4925 0.6925 0.7075
No log 34.0 425 1.3728 0.6925 0.1525 0.1725 0.4925 0.685 0.7025
No log 34.96 437 1.3931 0.695 0.1425 0.1725 0.49 0.695 0.7
No log 36.0 450 1.3642 0.7125 0.145 0.1725 0.505 0.6875 0.71
No log 36.96 462 1.3807 0.705 0.1475 0.17 0.4975 0.6875 0.695
No log 38.0 475 1.4171 0.7025 0.1575 0.17 0.505 0.6975 0.695
No log 38.96 487 1.3868 0.71 0.155 0.17 0.4975 0.7025 0.705
0.6814 40.0 500 1.3982 0.7075 0.1425 0.17 0.51 0.6975 0.705
0.6814 40.96 512 1.3898 0.7075 0.1475 0.17 0.51 0.6975 0.6975
0.6814 42.0 525 1.4277 0.7025 0.145 0.17 0.515 0.705 0.705
0.6814 42.96 537 1.4381 0.7025 0.145 0.1725 0.51 0.7 0.7025
0.6814 44.0 550 1.4374 0.7025 0.15 0.175 0.5125 0.7 0.7
0.6814 44.96 562 1.4260 0.6975 0.1475 0.175 0.5125 0.7025 0.7
0.6814 46.0 575 1.4408 0.7 0.1475 0.1775 0.5125 0.7025 0.7
0.6814 46.96 587 1.4483 0.7 0.15 0.1775 0.515 0.705 0.7
0.6814 48.0 600 1.4441 0.7 0.15 0.1775 0.515 0.705 0.7025

Framework versions