generated_from_trainer

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

LayoutLMv3_large_2

This model is a fine-tuned version of BadreddineHug/LayoutLM_5 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 Precision Recall F1 Accuracy
No log 2.44 100 0.2604 0.8049 0.8462 0.8250 0.9487
No log 4.88 200 0.2887 0.6923 0.8462 0.7615 0.9294
No log 7.32 300 0.3961 0.6711 0.8547 0.7519 0.9248
No log 9.76 400 0.3117 0.7778 0.8376 0.8066 0.9465
0.1255 12.2 500 0.3344 0.7698 0.8291 0.7984 0.9419
0.1255 14.63 600 0.3892 0.7197 0.8120 0.7631 0.9339
0.1255 17.07 700 0.3865 0.7143 0.8547 0.7782 0.9419
0.1255 19.51 800 0.4737 0.6690 0.8291 0.7405 0.9226
0.1255 21.95 900 0.3876 0.7405 0.8291 0.7823 0.9442
0.0206 24.39 1000 0.3845 0.7444 0.8462 0.792 0.9465
0.0206 26.83 1100 0.4179 0.75 0.8205 0.7837 0.9442
0.0206 29.27 1200 0.3942 0.7576 0.8547 0.8032 0.9510
0.0206 31.71 1300 0.4521 0.7293 0.8291 0.776 0.9408
0.0206 34.15 1400 0.4725 0.7050 0.8376 0.7656 0.9328
0.0051 36.59 1500 0.4874 0.6849 0.8547 0.7605 0.9317
0.0051 39.02 1600 0.4366 0.7519 0.8547 0.8 0.9453
0.0051 41.46 1700 0.4978 0.6897 0.8547 0.7634 0.9317
0.0051 43.9 1800 0.4599 0.7444 0.8462 0.792 0.9431
0.0051 46.34 1900 0.4765 0.7372 0.8632 0.7953 0.9431
0.002 48.78 2000 0.4678 0.7444 0.8462 0.792 0.9431

Framework versions