generated_from_trainer

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EElayoutlmv3_jordyvl_rvl_cdip_100_examples_per_class_2023-08-12_text_visual_concat_only

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
No log 0.96 16 2.6835 0.1175 0.0775
No log 1.98 33 2.4924 0.2375 0.0675
No log 3.0 50 2.2916 0.34 0.07
No log 3.96 66 2.0277 0.475 0.07
No log 4.98 83 1.7026 0.5775 0.07
No log 6.0 100 1.4354 0.6625 0.075
No log 6.96 116 1.2357 0.6975 0.07
No log 7.98 133 1.0754 0.745 0.0725
No log 9.0 150 0.9760 0.77 0.07
No log 9.96 166 0.8967 0.765 0.07
No log 10.98 183 0.8561 0.7875 0.07
No log 12.0 200 0.8837 0.7575 0.07
No log 12.96 216 0.8885 0.7725 0.07
No log 13.98 233 0.7819 0.7725 0.0675
No log 15.0 250 0.9067 0.7725 0.07
No log 15.96 266 0.9086 0.775 0.075
No log 16.98 283 0.8444 0.795 0.07
No log 18.0 300 0.9359 0.7775 0.0725
No log 18.96 316 0.9696 0.7825 0.07
No log 19.98 333 0.9254 0.7825 0.075
No log 21.0 350 0.9879 0.7775 0.0675
No log 21.96 366 0.9894 0.79 0.075
No log 22.98 383 1.0087 0.785 0.07
No log 24.0 400 1.0101 0.785 0.07
No log 24.96 416 1.0188 0.7875 0.075
No log 25.98 433 1.0266 0.79 0.075
No log 27.0 450 1.0357 0.79 0.07
No log 27.96 466 1.0505 0.7875 0.0675
No log 28.98 483 1.0524 0.7825 0.07
1.6927 30.0 500 1.0656 0.785 0.075
1.6927 30.96 516 1.0642 0.785 0.0725
1.6927 31.98 533 1.0740 0.785 0.0725
1.6927 33.0 550 1.0830 0.785 0.075
1.6927 33.96 566 1.0860 0.785 0.0675
1.6927 34.98 583 1.0939 0.7875 0.0675
1.6927 36.0 600 1.0969 0.79 0.0675
1.6927 36.96 616 1.0966 0.7875 0.07
1.6927 37.98 633 1.1024 0.79 0.07
1.6927 39.0 650 1.1045 0.7875 0.075
1.6927 39.96 666 1.1050 0.7875 0.0725
1.6927 40.98 683 1.1085 0.7875 0.075
1.6927 42.0 700 1.1171 0.7875 0.075
1.6927 42.96 716 1.1193 0.7875 0.075
1.6927 43.98 733 1.1188 0.79 0.075
1.6927 45.0 750 1.1220 0.79 0.0725
1.6927 45.96 766 1.1270 0.79 0.0725
1.6927 46.98 783 1.1268 0.7875 0.075
1.6927 48.0 800 1.1264 0.79 0.075
1.6927 48.96 816 1.1267 0.795 0.075
1.6927 49.98 833 1.1273 0.79 0.0725
1.6927 51.0 850 1.1268 0.79 0.07
1.6927 51.96 866 1.1283 0.795 0.07
1.6927 52.98 883 1.1293 0.795 0.075
1.6927 54.0 900 1.1306 0.795 0.075
1.6927 54.96 916 1.1306 0.795 0.075
1.6927 55.98 933 1.1310 0.795 0.075
1.6927 57.0 950 1.1314 0.7925 0.075
1.6927 57.6 960 1.1314 0.7925 0.075

Framework versions