generated_from_trainer

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LOC1.0

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 3.7 100 0.3041 0.7009 0.7075 0.7042 0.9585
No log 7.41 200 0.3411 0.5682 0.7075 0.6303 0.9406
No log 11.11 300 0.1978 0.664 0.7830 0.7186 0.9606
No log 14.81 400 0.2985 0.6667 0.7170 0.6909 0.9585
0.0194 18.52 500 0.2931 0.6239 0.6415 0.6326 0.9575
0.0194 22.22 600 0.2981 0.6697 0.6887 0.6791 0.9544
0.0194 25.93 700 0.3242 0.6757 0.7075 0.6912 0.9565
0.0194 29.63 800 0.2913 0.7255 0.6981 0.7115 0.9565
0.0194 33.33 900 0.2944 0.592 0.6981 0.6407 0.9503
0.012 37.04 1000 0.2923 0.7404 0.7264 0.7333 0.9549
0.012 40.74 1100 0.3083 0.7451 0.7170 0.7308 0.9539
0.012 44.44 1200 0.3142 0.6667 0.7170 0.6909 0.9513
0.012 48.15 1300 0.2950 0.6909 0.7170 0.7037 0.9539
0.012 51.85 1400 0.2958 0.6852 0.6981 0.6916 0.9534
0.0105 55.56 1500 0.2882 0.7 0.7264 0.7130 0.9590
0.0105 59.26 1600 0.2954 0.7476 0.7264 0.7368 0.9600
0.0105 62.96 1700 0.2975 0.6696 0.7264 0.6968 0.9580
0.0105 66.67 1800 0.2986 0.6522 0.7075 0.6787 0.9565
0.0105 70.37 1900 0.3011 0.6609 0.7170 0.6878 0.9565
0.0081 74.07 2000 0.3003 0.6609 0.7170 0.6878 0.9565

Framework versions