generated_from_trainer

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perioli_manifesti_v8.5

This model is a fine-tuned version of microsoft/layoutlmv3-base on the sroie 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 0.33 100 0.1734 0.6829 0.7349 0.7080 0.9542
No log 0.65 200 0.0776 0.7971 0.8666 0.8304 0.9740
No log 0.98 300 0.0421 0.8923 0.9338 0.9126 0.9885
No log 1.31 400 0.0307 0.9167 0.9524 0.9342 0.9917
0.1671 1.63 500 0.0421 0.8738 0.9407 0.9060 0.9883
0.1671 1.96 600 0.0247 0.9322 0.9576 0.9447 0.9931
0.1671 2.29 700 0.0250 0.9351 0.9593 0.9471 0.9933
0.1671 2.61 800 0.0248 0.9380 0.9645 0.9511 0.9939
0.1671 2.94 900 0.0231 0.9323 0.9638 0.9478 0.9934
0.0284 3.27 1000 0.0212 0.9480 0.9673 0.9575 0.9949
0.0284 3.59 1100 0.0204 0.9471 0.9683 0.9576 0.9950
0.0284 3.92 1200 0.0199 0.9450 0.9662 0.9555 0.9946
0.0284 4.25 1300 0.0239 0.9349 0.9652 0.9498 0.9938
0.0284 4.58 1400 0.0213 0.9556 0.9728 0.9641 0.9956
0.0153 4.9 1500 0.0210 0.9459 0.9707 0.9581 0.9950
0.0153 5.23 1600 0.0211 0.9478 0.9707 0.9591 0.9952
0.0153 5.56 1700 0.0197 0.9533 0.9714 0.9623 0.9955
0.0153 5.88 1800 0.0201 0.9483 0.9683 0.9582 0.9951
0.0153 6.21 1900 0.0200 0.9520 0.9707 0.9613 0.9953
0.011 6.54 2000 0.0207 0.9485 0.9707 0.9595 0.9952

Framework versions