generated_from_trainer

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EElayoutlmv3_jordyvl_rvl_cdip_100_examples_per_class_2023-08-27_txt_vis_conc_enc_9_10_11_12_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 2.6822 0.1625 0.07 0.0625 0.0625 0.0625 0.1
No log 1.98 33 2.5295 0.235 0.0775 0.0625 0.0625 0.0625 0.1625
No log 3.0 50 2.3203 0.3175 0.0825 0.0625 0.0625 0.0625 0.2575
No log 3.96 66 2.0766 0.4075 0.085 0.0625 0.0625 0.0625 0.3375
No log 4.98 83 1.7926 0.57 0.085 0.0625 0.0625 0.0625 0.4675
No log 6.0 100 1.5171 0.6225 0.085 0.0625 0.0625 0.0625 0.4925
No log 6.96 116 1.3587 0.665 0.085 0.0625 0.0625 0.0625 0.575
No log 7.98 133 1.1768 0.7275 0.0825 0.0625 0.0625 0.0625 0.6175
No log 9.0 150 1.0821 0.73 0.085 0.0625 0.0625 0.0625 0.665
No log 9.96 166 1.0058 0.745 0.085 0.0625 0.0625 0.0625 0.7125
No log 10.98 183 0.9673 0.7475 0.0875 0.0625 0.0625 0.0625 0.7275
No log 12.0 200 0.9760 0.7475 0.085 0.0625 0.0625 0.07 0.74
No log 12.96 216 0.9375 0.7575 0.085 0.0625 0.0625 0.0775 0.745
No log 13.98 233 0.9334 0.7525 0.0825 0.0625 0.0625 0.1125 0.7475
No log 15.0 250 0.9384 0.7675 0.0725 0.0625 0.0625 0.12 0.76
No log 15.96 266 0.9548 0.7625 0.0725 0.0625 0.0625 0.1225 0.7775
No log 16.98 283 1.0016 0.7675 0.0625 0.0625 0.0625 0.2875 0.7575
No log 18.0 300 1.0385 0.765 0.065 0.0625 0.0625 0.4675 0.7625
No log 18.96 316 1.1031 0.755 0.065 0.0625 0.1225 0.68 0.76
No log 19.98 333 1.0838 0.77 0.065 0.0625 0.175 0.7625 0.765
No log 21.0 350 1.1351 0.76 0.0675 0.0625 0.6875 0.765 0.7575
No log 21.96 366 1.1676 0.75 0.0675 0.1325 0.735 0.7525 0.75
No log 22.98 383 1.1791 0.7675 0.06 0.53 0.7475 0.7725 0.7725
No log 24.0 400 1.1515 0.77 0.065 0.755 0.7625 0.77 0.765
No log 24.96 416 1.1810 0.7625 0.065 0.7575 0.7675 0.77 0.7675
No log 25.98 433 1.2599 0.7625 0.065 0.76 0.7575 0.755 0.77
No log 27.0 450 1.2142 0.7775 0.07 0.76 0.765 0.775 0.7775
No log 27.96 466 1.2431 0.77 0.0725 0.7525 0.765 0.7725 0.7725
No log 28.98 483 1.2692 0.7625 0.0725 0.76 0.7625 0.7675 0.76
1.3506 30.0 500 1.2868 0.7625 0.0725 0.765 0.765 0.77 0.765
1.3506 30.96 516 1.3143 0.76 0.0725 0.7625 0.7625 0.7675 0.76
1.3506 31.98 533 1.3064 0.77 0.0725 0.7675 0.77 0.7725 0.765
1.3506 33.0 550 1.3295 0.765 0.0725 0.76 0.7675 0.76 0.7625
1.3506 33.96 566 1.3529 0.76 0.0675 0.7675 0.755 0.7675 0.76
1.3506 34.98 583 1.3487 0.7675 0.065 0.76 0.7625 0.7625 0.7625
1.3506 36.0 600 1.3456 0.7725 0.065 0.76 0.765 0.7675 0.7675
1.3506 36.96 616 1.3568 0.7675 0.0725 0.7625 0.7675 0.765 0.765
1.3506 37.98 633 1.3626 0.765 0.075 0.76 0.77 0.77 0.765
1.3506 39.0 650 1.3631 0.7675 0.075 0.76 0.7675 0.77 0.7625
1.3506 39.96 666 1.3707 0.765 0.075 0.765 0.7675 0.7725 0.765
1.3506 40.98 683 1.3761 0.765 0.0775 0.76 0.7675 0.77 0.765
1.3506 42.0 700 1.3745 0.77 0.08 0.76 0.765 0.77 0.765
1.3506 42.96 716 1.3685 0.77 0.08 0.7625 0.765 0.7725 0.7675
1.3506 43.98 733 1.3716 0.7675 0.08 0.765 0.7675 0.77 0.7675
1.3506 45.0 750 1.3829 0.77 0.08 0.755 0.765 0.7675 0.7675
1.3506 45.96 766 1.3846 0.7675 0.08 0.7625 0.765 0.765 0.765
1.3506 46.98 783 1.3797 0.7725 0.08 0.765 0.7675 0.77 0.765
1.3506 48.0 800 1.3792 0.77 0.08 0.7675 0.7675 0.7675 0.7675
1.3506 48.96 816 1.3771 0.775 0.08 0.765 0.77 0.77 0.77
1.3506 49.98 833 1.3806 0.7725 0.08 0.765 0.77 0.7725 0.775
1.3506 51.0 850 1.3842 0.77 0.08 0.765 0.7675 0.77 0.77
1.3506 51.96 866 1.3854 0.7675 0.08 0.765 0.77 0.7675 0.765
1.3506 52.98 883 1.3869 0.77 0.08 0.765 0.77 0.77 0.77
1.3506 54.0 900 1.3899 0.7675 0.08 0.765 0.7725 0.7675 0.765
1.3506 54.96 916 1.3916 0.7675 0.08 0.765 0.7725 0.7675 0.765
1.3506 55.98 933 1.3915 0.7675 0.08 0.765 0.7675 0.7675 0.765
1.3506 57.0 950 1.3922 0.7675 0.08 0.7675 0.7675 0.7675 0.765
1.3506 57.6 960 1.3922 0.7675 0.08 0.7675 0.7675 0.7675 0.765

Framework versions