generated_from_trainer

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EASA10.0-base-2000-paddle

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 0.88 100 0.1486 0.9387 0.9387 0.9387 0.9890
No log 1.75 200 0.0354 0.9763 0.9717 0.9740 0.9963
No log 2.63 300 0.0264 0.9811 0.9811 0.9811 0.9972
No log 3.51 400 0.0281 0.9762 0.9670 0.9716 0.9963
0.1349 4.39 500 0.0292 0.9762 0.9670 0.9716 0.9963
0.1349 5.26 600 0.0289 0.9762 0.9670 0.9716 0.9963
0.1349 6.14 700 0.0292 0.9762 0.9670 0.9716 0.9963
0.1349 7.02 800 0.0279 0.9762 0.9670 0.9716 0.9963
0.1349 7.89 900 0.0279 0.9762 0.9670 0.9716 0.9963
0.0147 8.77 1000 0.0288 0.9762 0.9670 0.9716 0.9963
0.0147 9.65 1100 0.0292 0.9762 0.9670 0.9716 0.9963
0.0147 10.53 1200 0.0305 0.9762 0.9670 0.9716 0.9963
0.0147 11.4 1300 0.0296 0.9762 0.9670 0.9716 0.9963
0.0147 12.28 1400 0.0300 0.9762 0.9670 0.9716 0.9963
0.0084 13.16 1500 0.0309 0.9762 0.9670 0.9716 0.9963
0.0084 14.04 1600 0.0299 0.9762 0.9670 0.9716 0.9963
0.0084 14.91 1700 0.0307 0.9762 0.9670 0.9716 0.9963
0.0084 15.79 1800 0.0304 0.9762 0.9670 0.9716 0.9963
0.0084 16.67 1900 0.0310 0.9762 0.9670 0.9716 0.9963
0.0069 17.54 2000 0.0308 0.9762 0.9670 0.9716 0.9963

Framework versions