generated_from_trainer

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perioli_vgm_v4.1

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 0.98 100 0.0735 0.7849 0.6697 0.7228 0.9901
No log 1.96 200 0.0688 0.6638 0.7064 0.6844 0.9905
No log 2.94 300 0.0827 0.6636 0.6697 0.6667 0.9877
No log 3.92 400 0.0717 0.7170 0.6972 0.7070 0.9901
0.0088 4.9 500 0.0715 0.6667 0.6422 0.6542 0.9881
0.0088 5.88 600 0.0868 0.7059 0.6606 0.6825 0.9877
0.0088 6.86 700 0.0947 0.6491 0.6789 0.6637 0.9881
0.0088 7.84 800 0.0796 0.7103 0.6972 0.7037 0.9894
0.0088 8.82 900 0.0777 0.7196 0.7064 0.7130 0.9905
0.0027 9.8 1000 0.0958 0.7075 0.6881 0.6977 0.9877
0.0027 10.78 1100 0.1044 0.71 0.6514 0.6794 0.9874
0.0027 11.76 1200 0.1140 0.6981 0.6789 0.6884 0.9874
0.0027 12.75 1300 0.1106 0.6981 0.6789 0.6884 0.9881
0.0027 13.73 1400 0.1069 0.6981 0.6789 0.6884 0.9881
0.0009 14.71 1500 0.1084 0.6981 0.6789 0.6884 0.9881

Framework versions