generated_from_trainer

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EElayoutlmv3_jordyvl_rvl_cdip_100_examples_per_class_2023-08-24_txt_vis_concat_enc_1_2_3_4_ramp

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 16 2.6888 0.15 0.08 0.0625 0.0625 0.0625 0.0625
No log 1.98 33 2.5275 0.225 0.08 0.105 0.0625 0.0625 0.0625
No log 3.0 50 2.3637 0.3025 0.0775 0.11 0.0625 0.0625 0.0625
No log 3.96 66 2.1405 0.38 0.075 0.1275 0.0625 0.0625 0.0625
No log 4.98 83 1.8868 0.4975 0.075 0.11 0.0625 0.0625 0.0625
No log 6.0 100 1.6298 0.59 0.075 0.12 0.0625 0.0625 0.0625
No log 6.96 116 1.4167 0.64 0.0725 0.1225 0.0625 0.0625 0.0625
No log 7.98 133 1.2772 0.67 0.075 0.1225 0.0625 0.0625 0.0625
No log 9.0 150 1.1184 0.7325 0.075 0.125 0.0625 0.0625 0.0625
No log 9.96 166 1.0215 0.7275 0.07 0.1225 0.0625 0.0625 0.07
No log 10.98 183 0.9752 0.7525 0.07 0.12 0.0625 0.0625 0.07
No log 12.0 200 0.9165 0.7425 0.07 0.13 0.0625 0.0625 0.0775
No log 12.96 216 0.9352 0.7475 0.0725 0.1325 0.0625 0.0625 0.0775
No log 13.98 233 0.9210 0.745 0.0725 0.13 0.0625 0.0625 0.0775
No log 15.0 250 0.8671 0.775 0.075 0.1275 0.0625 0.0625 0.09
No log 15.96 266 0.9380 0.7625 0.0725 0.1275 0.0625 0.0625 0.095
No log 16.98 283 0.9594 0.77 0.0725 0.1225 0.0625 0.0625 0.1025
No log 18.0 300 1.0292 0.745 0.0725 0.1275 0.0625 0.0625 0.1025
No log 18.96 316 0.9903 0.755 0.07 0.13 0.08 0.0625 0.1075
No log 19.98 333 1.0235 0.7725 0.065 0.1275 0.08 0.065 0.1175
No log 21.0 350 1.0540 0.7675 0.0675 0.1175 0.09 0.0825 0.1275
No log 21.96 366 1.1432 0.745 0.075 0.1375 0.0875 0.1175 0.1825
No log 22.98 383 1.1439 0.75 0.0725 0.1575 0.0775 0.17 0.2475
No log 24.0 400 1.2294 0.7325 0.07 0.21 0.12 0.1975 0.26
No log 24.96 416 1.2759 0.73 0.07 0.1425 0.1325 0.1925 0.2725
No log 25.98 433 1.1571 0.765 0.06 0.17 0.155 0.2475 0.3275
No log 27.0 450 1.2853 0.7475 0.0575 0.205 0.185 0.275 0.3825
No log 27.96 466 1.3344 0.7325 0.0475 0.2525 0.2575 0.3275 0.3875
No log 28.98 483 1.2372 0.7475 0.06 0.2075 0.2325 0.32 0.4425
1.7096 30.0 500 1.2672 0.7625 0.0525 0.2775 0.34 0.3825 0.4775
1.7096 30.96 516 1.3086 0.7525 0.0525 0.3225 0.375 0.4425 0.51
1.7096 31.98 533 1.3129 0.7525 0.0525 0.29 0.3825 0.4175 0.525
1.7096 33.0 550 1.3782 0.735 0.0475 0.305 0.4075 0.4625 0.525
1.7096 33.96 566 1.3449 0.735 0.0475 0.33 0.425 0.48 0.5425
1.7096 34.98 583 1.4527 0.7325 0.045 0.34 0.435 0.4925 0.5475
1.7096 36.0 600 1.4438 0.7275 0.05 0.3525 0.43 0.52 0.5425
1.7096 36.96 616 1.5117 0.7275 0.045 0.3775 0.445 0.53 0.56
1.7096 37.98 633 1.4637 0.735 0.0475 0.3925 0.445 0.5425 0.5675
1.7096 39.0 650 1.5315 0.73 0.045 0.3875 0.4575 0.55 0.6
1.7096 39.96 666 1.4396 0.74 0.05 0.39 0.4625 0.555 0.5975
1.7096 40.98 683 1.4850 0.7425 0.05 0.39 0.455 0.5475 0.6025
1.7096 42.0 700 1.4815 0.7525 0.05 0.3975 0.4625 0.5675 0.6
1.7096 42.96 716 1.4511 0.7475 0.05 0.3975 0.4725 0.56 0.6175
1.7096 43.98 733 1.5443 0.7275 0.05 0.3975 0.47 0.56 0.625
1.7096 45.0 750 1.5364 0.725 0.05 0.3975 0.4825 0.5675 0.625
1.7096 45.96 766 1.5455 0.7325 0.05 0.4 0.49 0.5675 0.625
1.7096 46.98 783 1.4992 0.745 0.05 0.4 0.4875 0.58 0.62
1.7096 48.0 800 1.5089 0.7375 0.05 0.4025 0.485 0.5825 0.6325
1.7096 48.96 816 1.5149 0.7375 0.05 0.4025 0.4925 0.5875 0.63
1.7096 49.98 833 1.5285 0.735 0.05 0.4025 0.5025 0.59 0.635
1.7096 51.0 850 1.5455 0.73 0.05 0.4 0.4975 0.595 0.64
1.7096 51.96 866 1.5598 0.7425 0.05 0.42 0.5 0.5975 0.64
1.7096 52.98 883 1.5727 0.7325 0.05 0.4125 0.5 0.5925 0.64
1.7096 54.0 900 1.5694 0.7425 0.05 0.415 0.495 0.5975 0.64
1.7096 54.96 916 1.5760 0.735 0.05 0.415 0.5025 0.5975 0.64
1.7096 55.98 933 1.5687 0.74 0.05 0.4125 0.5025 0.5975 0.6425
1.7096 57.0 950 1.5648 0.74 0.05 0.415 0.5025 0.6 0.6425
1.7096 57.6 960 1.5649 0.7425 0.05 0.415 0.505 0.6 0.6425

Framework versions