roberta-large-finetuned-abbr-finetuned-ner

作者 shenbinqian · 下载 2 · 点赞 0 · 更新 2023-11-01

generated_from_trainer

roberta-large-finetuned-abbr-finetuned-ner

This model is a fine-tuned version of surrey-nlp/roberta-large-finetuned-abbr 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
0.1169 0.25 7000 0.1114 0.9639 0.9581 0.9610 0.9575
0.1171 0.5 14000 0.1150 0.9655 0.9534 0.9594 0.9554
0.1202 0.75 21000 0.1058 0.9644 0.9578 0.9611 0.9575
0.1105 0.99 28000 0.1098 0.9664 0.9549 0.9606 0.9566
0.0935 1.24 35000 0.1270 0.9643 0.9570 0.9606 0.9570
0.0999 1.49 42000 0.1112 0.9626 0.9605 0.9615 0.9580
0.0948 1.74 49000 0.1114 0.9670 0.9606 0.9638 0.9603
0.1015 1.99 56000 0.1146 0.9680 0.9589 0.9634 0.9597
0.0816 2.24 63000 0.1244 0.9670 0.9607 0.9638 0.9603
0.0855 2.49 70000 0.1107 0.9675 0.9623 0.9649 0.9614
0.0814 2.73 77000 0.1047 0.9661 0.9630 0.9645 0.9611
0.0827 2.98 84000 0.1082 0.9665 0.9631 0.9648 0.9614
0.0655 3.23 91000 0.1485 0.9690 0.9615 0.9653 0.9618
0.0631 3.48 98000 0.1314 0.9683 0.9639 0.9661 0.9627
0.0667 3.73 105000 0.1164 0.9683 0.9643 0.9663 0.9629
0.0652 3.98 112000 0.1297 0.9681 0.9653 0.9667 0.9633
0.0485 4.23 119000 0.1441 0.9697 0.9645 0.9671 0.9636
0.0505 4.47 126000 0.1350 0.9700 0.9651 0.9675 0.9642
0.0498 4.72 133000 0.1243 0.9691 0.9657 0.9674 0.9640
0.0463 4.97 140000 0.1392 0.9699 0.9660 0.9679 0.9645
0.0371 5.22 147000 0.1527 0.9709 0.9658 0.9683 0.9649
0.0363 5.47 154000 0.1490 0.9703 0.9667 0.9685 0.9651
0.0341 5.72 161000 0.1538 0.9712 0.9666 0.9689 0.9656
0.0338 5.97 168000 0.1488 0.9705 0.9668 0.9687 0.9653

Framework versions