generated_from_trainer

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bert-finetuned-ner3

This model is a fine-tuned version of bert-base-cased on the None 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 Name Precision Name Recall Name F1 Dob Precision Dob Recall Dob F1
No log 1.0 108 0.0024 0.7581 0.9766 0.8536 0.9989 0.9579 0.9891 0.9733 0.6340 0.9652 0.7653
No log 2.0 216 0.0016 0.8519 0.9558 0.9009 0.9995 0.9624 0.9728 0.9676 0.7683 0.9403 0.8456
No log 3.0 324 0.0007 0.9193 0.9766 0.9471 0.9998 0.9784 0.9837 0.9810 0.8705 0.9701 0.9176
No log 4.0 432 0.0006 0.9305 0.9740 0.9518 0.9998 0.9838 0.9891 0.9864 0.8853 0.9602 0.9212
0.0023 5.0 540 0.0007 0.8929 0.9532 0.9221 0.9997 0.9733 0.9891 0.9811 0.8259 0.9204 0.8706
0.0023 6.0 648 0.0003 0.9646 0.9922 0.9782 0.9999 0.9892 0.9946 0.9919 0.9431 0.9900 0.9660
0.0023 7.0 756 0.0006 0.9259 0.9740 0.9494 0.9998 0.9581 0.9946 0.976 0.8972 0.9552 0.9253
0.0023 8.0 864 0.0007 0.9322 0.9636 0.9476 0.9998 0.9945 0.9891 0.9918 0.8791 0.9403 0.9087
0.0023 9.0 972 0.0002 0.9821 0.9948 0.9884 0.9999 0.9946 0.9946 0.9946 0.9709 0.9950 0.9828
0.0008 10.0 1080 0.0003 0.9646 0.9922 0.9782 0.9999 0.9946 0.9946 0.9946 0.9387 0.9900 0.9637
0.0008 11.0 1188 0.0002 0.9846 0.9974 0.9910 0.9999 0.9946 0.9946 0.9946 0.9757 1.0 0.9877
0.0008 12.0 1296 0.0002 0.9720 0.9922 0.9820 0.9999 0.9786 0.9946 0.9865 0.9660 0.9900 0.9779
0.0008 13.0 1404 0.0002 0.9745 0.9922 0.9833 0.9999 0.9839 0.9946 0.9892 0.9660 0.9900 0.9779
0.0004 14.0 1512 0.0002 0.9846 0.9974 0.9910 0.9999 0.9839 0.9946 0.9892 0.9853 1.0 0.9926
0.0004 15.0 1620 0.0003 0.9744 0.9896 0.9820 0.9999 0.9786 0.9946 0.9865 0.9706 0.9851 0.9778
0.0004 16.0 1728 0.0002 0.9769 0.9896 0.9832 0.9999 0.9838 0.9891 0.9864 0.9707 0.9900 0.9803
0.0004 17.0 1836 0.0003 0.9693 0.9844 0.9768 0.9999 0.9892 0.9946 0.9919 0.9515 0.9751 0.9631
0.0004 18.0 1944 0.0002 0.9846 0.9948 0.9897 1.0000 0.9892 0.9946 0.9919 0.9804 0.9950 0.9877
0.0002 19.0 2052 0.0002 0.9795 0.9922 0.9858 0.9999 0.9892 0.9946 0.9919 0.9707 0.9900 0.9803
0.0002 20.0 2160 0.0002 0.9795 0.9922 0.9858 0.9999 0.9892 0.9946 0.9919 0.9707 0.9900 0.9803

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