Edit model card

nerugm-seq_bn-rf64-4

This model is a fine-tuned version of indolem/indobert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1332
  • Location Precision: 0.7711
  • Location Recall: 0.8767
  • Location F1: 0.8205
  • Location Number: 73
  • Organization Precision: 0.6667
  • Organization Recall: 0.8
  • Organization F1: 0.7273
  • Organization Number: 65
  • Person Precision: 0.8466
  • Person Recall: 0.92
  • Person F1: 0.8818
  • Person Number: 150
  • Quantity Precision: 0.6757
  • Quantity Recall: 0.8621
  • Quantity F1: 0.7576
  • Quantity Number: 29
  • Time Precision: 0.7436
  • Time Recall: 0.8529
  • Time F1: 0.7945
  • Time Number: 34
  • Overall Precision: 0.77
  • Overall Recall: 0.8775
  • Overall F1: 0.8202
  • Overall Accuracy: 0.9601

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:

  • learning_rate: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 100.0

Training results

Training Loss Epoch Step Validation Loss Location Precision Location Recall Location F1 Location Number Organization Precision Organization Recall Organization F1 Organization Number Person Precision Person Recall Person F1 Person Number Quantity Precision Quantity Recall Quantity F1 Quantity Number Time Precision Time Recall Time F1 Time Number Overall Precision Overall Recall Overall F1 Overall Accuracy
1.162 1.0 106 0.7062 0.0 0.0 0.0 73 0.0 0.0 0.0 65 0.0 0.0 0.0 150 0.0 0.0 0.0 29 0.0 0.0 0.0 34 0.0 0.0 0.0 0.8366
0.6654 2.0 212 0.5645 0.0 0.0 0.0 73 0.0 0.0 0.0 65 0.25 0.02 0.0370 150 0.0 0.0 0.0 29 0.0 0.0 0.0 34 0.1667 0.0085 0.0163 0.8390
0.5351 3.0 318 0.4459 0.4118 0.0959 0.1556 73 0.0417 0.0154 0.0225 65 0.3879 0.3 0.3383 150 0.0 0.0 0.0 29 0.44 0.3235 0.3729 34 0.3422 0.1823 0.2379 0.8688
0.4412 4.0 424 0.3770 0.5208 0.3425 0.4132 73 0.1429 0.1077 0.1228 65 0.4494 0.5333 0.4878 150 0.0 0.0 0.0 29 0.4688 0.4412 0.4545 34 0.3944 0.3618 0.3774 0.8932
0.388 5.0 530 0.3371 0.4568 0.5068 0.4805 73 0.2456 0.2154 0.2295 65 0.5392 0.78 0.6376 150 0.4348 0.3448 0.3846 29 0.5714 0.5882 0.5797 34 0.4794 0.5641 0.5183 0.9109
0.3533 6.0 636 0.3033 0.4362 0.5616 0.4910 73 0.3860 0.3385 0.3607 65 0.5943 0.84 0.6961 150 0.3714 0.4483 0.4062 29 0.6486 0.7059 0.6761 34 0.5195 0.6439 0.5751 0.9200
0.3155 7.0 742 0.2711 0.4778 0.5890 0.5276 73 0.5357 0.4615 0.4959 65 0.6165 0.8467 0.7135 150 0.4722 0.5862 0.5231 29 0.6486 0.7059 0.6761 34 0.5671 0.6866 0.6211 0.9269
0.2811 8.0 848 0.2423 0.5529 0.6438 0.5949 73 0.5741 0.4769 0.5210 65 0.6615 0.86 0.7478 150 0.5 0.5862 0.5397 29 0.7429 0.7647 0.7536 34 0.6203 0.7123 0.6631 0.9340
0.2567 9.0 954 0.2256 0.53 0.7260 0.6127 73 0.5 0.4769 0.4882 65 0.6806 0.8667 0.7625 150 0.4595 0.5862 0.5152 29 0.8056 0.8529 0.8286 34 0.6103 0.7407 0.6692 0.9348
0.2306 10.0 1060 0.2107 0.5258 0.6986 0.6 73 0.4857 0.5231 0.5037 65 0.7258 0.9 0.8036 150 0.4186 0.6207 0.5 29 0.8108 0.8824 0.8451 34 0.6189 0.7635 0.6837 0.9375
0.2159 11.0 1166 0.1962 0.5579 0.7260 0.6310 73 0.4722 0.5231 0.4964 65 0.7432 0.9067 0.8168 150 0.4286 0.6207 0.5070 29 0.8333 0.8824 0.8571 34 0.6332 0.7721 0.6958 0.9397
0.1957 12.0 1272 0.1896 0.5816 0.7808 0.6667 73 0.4568 0.5692 0.5068 65 0.7569 0.9133 0.8278 150 0.4186 0.6207 0.5 29 0.7895 0.8824 0.8333 34 0.6327 0.7949 0.7045 0.9422
0.1841 13.0 1378 0.1755 0.6105 0.7945 0.6905 73 0.4756 0.6 0.5306 65 0.7771 0.9067 0.8369 150 0.4872 0.6552 0.5588 29 0.8378 0.9118 0.8732 34 0.6612 0.8063 0.7266 0.9461
0.1753 14.0 1484 0.1682 0.6196 0.7808 0.6909 73 0.5 0.6154 0.5517 65 0.7861 0.9067 0.8421 150 0.5405 0.6897 0.6061 29 0.8649 0.9412 0.9014 34 0.6802 0.8120 0.7403 0.9491
0.1664 15.0 1590 0.1726 0.6162 0.8356 0.7093 73 0.5122 0.6462 0.5714 65 0.7841 0.92 0.8466 150 0.5366 0.7586 0.6286 29 0.7561 0.9118 0.8267 34 0.6697 0.8376 0.7443 0.9468
0.1608 16.0 1696 0.1649 0.6854 0.8356 0.7531 73 0.55 0.6769 0.6069 65 0.7919 0.9133 0.8483 150 0.5366 0.7586 0.6286 29 0.75 0.8824 0.8108 34 0.6950 0.8376 0.7597 0.9498
0.1524 17.0 1802 0.1592 0.6854 0.8356 0.7531 73 0.55 0.6769 0.6069 65 0.7816 0.9067 0.8395 150 0.5897 0.7931 0.6765 29 0.7436 0.8529 0.7945 34 0.6960 0.8348 0.7591 0.9498
0.1489 18.0 1908 0.1496 0.7176 0.8356 0.7722 73 0.5455 0.6462 0.5915 65 0.7965 0.9133 0.8509 150 0.6053 0.7931 0.6866 29 0.8421 0.9412 0.8889 34 0.7195 0.8405 0.7753 0.9547
0.1497 19.0 2014 0.1522 0.6818 0.8219 0.7453 73 0.5301 0.6769 0.5946 65 0.7861 0.9067 0.8421 150 0.6053 0.7931 0.6866 29 0.7436 0.8529 0.7945 34 0.6936 0.8319 0.7565 0.9518
0.1417 20.0 2120 0.1447 0.7294 0.8493 0.7848 73 0.5493 0.6 0.5735 65 0.8 0.9067 0.8500 150 0.6486 0.8276 0.7273 29 0.7949 0.9118 0.8493 34 0.7264 0.8319 0.7756 0.9537
0.1409 21.0 2226 0.1451 0.7209 0.8493 0.7799 73 0.5479 0.6154 0.5797 65 0.8012 0.9133 0.8536 150 0.6486 0.8276 0.7273 29 0.7692 0.8824 0.8219 34 0.7217 0.8348 0.7741 0.9537
0.1381 22.0 2332 0.1493 0.6966 0.8493 0.7654 73 0.5542 0.7077 0.6216 65 0.8 0.9067 0.8500 150 0.7143 0.8621 0.7813 29 0.725 0.8529 0.7838 34 0.7146 0.8490 0.7760 0.9525
0.1337 23.0 2438 0.1394 0.7209 0.8493 0.7799 73 0.5375 0.6615 0.5931 65 0.8107 0.9133 0.8589 150 0.7353 0.8621 0.7937 29 0.7692 0.8824 0.8219 34 0.7279 0.8462 0.7826 0.9555
0.13 24.0 2544 0.1492 0.7045 0.8493 0.7702 73 0.5412 0.7077 0.6133 65 0.8133 0.9 0.8544 150 0.6410 0.8621 0.7353 29 0.6829 0.8235 0.7467 34 0.7064 0.8433 0.7688 0.9518
0.1278 25.0 2650 0.1447 0.7045 0.8493 0.7702 73 0.5641 0.6769 0.6154 65 0.8204 0.9133 0.8644 150 0.6579 0.8621 0.7463 29 0.7436 0.8529 0.7945 34 0.7244 0.8462 0.7806 0.9530
0.129 26.0 2756 0.1389 0.7294 0.8493 0.7848 73 0.5775 0.6308 0.6029 65 0.8204 0.9133 0.8644 150 0.7143 0.8621 0.7813 29 0.7692 0.8824 0.8219 34 0.7431 0.8405 0.7888 0.9557
0.1243 27.0 2862 0.1411 0.7381 0.8493 0.7898 73 0.5541 0.6308 0.5899 65 0.8476 0.9267 0.8854 150 0.6757 0.8621 0.7576 29 0.7436 0.8529 0.7945 34 0.7437 0.8433 0.7904 0.9547
0.121 28.0 2968 0.1408 0.7381 0.8493 0.7898 73 0.5676 0.6462 0.6043 65 0.8476 0.9267 0.8854 150 0.7143 0.8621 0.7813 29 0.725 0.8529 0.7838 34 0.7481 0.8462 0.7941 0.9555
0.118 29.0 3074 0.1422 0.7079 0.8630 0.7778 73 0.5949 0.7231 0.6528 65 0.8313 0.92 0.8734 150 0.7143 0.8621 0.7813 29 0.725 0.8529 0.7838 34 0.7384 0.8604 0.7947 0.9550
0.1173 30.0 3180 0.1340 0.7381 0.8493 0.7898 73 0.6324 0.6615 0.6466 65 0.8476 0.9267 0.8854 150 0.7143 0.8621 0.7813 29 0.7692 0.8824 0.8219 34 0.7667 0.8519 0.8070 0.9574
0.1163 31.0 3286 0.1376 0.7412 0.8630 0.7975 73 0.6184 0.7231 0.6667 65 0.8364 0.92 0.8762 150 0.7143 0.8621 0.7813 29 0.7436 0.8529 0.7945 34 0.755 0.8604 0.8043 0.9562
0.1132 32.0 3392 0.1385 0.7326 0.8630 0.7925 73 0.5854 0.7385 0.6531 65 0.8519 0.92 0.8846 150 0.7143 0.8621 0.7813 29 0.7436 0.8529 0.7945 34 0.75 0.8632 0.8026 0.9564
0.1123 33.0 3498 0.1383 0.7326 0.8630 0.7925 73 0.6026 0.7231 0.6573 65 0.8485 0.9333 0.8889 150 0.7143 0.8621 0.7813 29 0.7436 0.8529 0.7945 34 0.7543 0.8661 0.8064 0.9574
0.1115 34.0 3604 0.1344 0.7442 0.8767 0.8050 73 0.6286 0.6769 0.6519 65 0.8476 0.9267 0.8854 150 0.7143 0.8621 0.7813 29 0.7436 0.8529 0.7945 34 0.7640 0.8575 0.8081 0.9584
0.1125 35.0 3710 0.1441 0.7241 0.8630 0.7875 73 0.5926 0.7385 0.6575 65 0.8466 0.92 0.8818 150 0.6316 0.8276 0.7164 29 0.6829 0.8235 0.7467 34 0.7341 0.8575 0.7911 0.9532
0.1072 36.0 3816 0.1351 0.7412 0.8630 0.7975 73 0.5926 0.7385 0.6575 65 0.8625 0.92 0.8903 150 0.7143 0.8621 0.7813 29 0.7632 0.8529 0.8056 34 0.7594 0.8632 0.808 0.9582
0.1071 37.0 3922 0.1417 0.7381 0.8493 0.7898 73 0.6071 0.7846 0.6846 65 0.8466 0.92 0.8818 150 0.6486 0.8276 0.7273 29 0.7 0.8235 0.7568 34 0.7426 0.8632 0.7984 0.9550
0.1041 38.0 4028 0.1360 0.7529 0.8767 0.8101 73 0.6338 0.6923 0.6618 65 0.8519 0.92 0.8846 150 0.6667 0.8276 0.7385 29 0.7179 0.8235 0.7671 34 0.7608 0.8519 0.8038 0.9579
0.1042 39.0 4134 0.1347 0.7412 0.8630 0.7975 73 0.6190 0.8 0.6980 65 0.8466 0.92 0.8818 150 0.7143 0.8621 0.7813 29 0.7632 0.8529 0.8056 34 0.7580 0.8746 0.8122 0.9582
0.1025 40.0 4240 0.1362 0.7326 0.8630 0.7925 73 0.6184 0.7231 0.6667 65 0.8580 0.9267 0.8910 150 0.7143 0.8621 0.7813 29 0.7632 0.8529 0.8056 34 0.7632 0.8632 0.8102 0.9589
0.1014 41.0 4346 0.1347 0.75 0.8630 0.8025 73 0.6125 0.7538 0.6759 65 0.8519 0.92 0.8846 150 0.7143 0.8621 0.7813 29 0.7632 0.8529 0.8056 34 0.7619 0.8661 0.8107 0.9579
0.1018 42.0 4452 0.1395 0.7381 0.8493 0.7898 73 0.6 0.7385 0.6621 65 0.8571 0.92 0.8875 150 0.6757 0.8621 0.7576 29 0.7632 0.8529 0.8056 34 0.755 0.8604 0.8043 0.9562
0.1011 43.0 4558 0.1322 0.7590 0.8630 0.8077 73 0.6438 0.7231 0.6812 65 0.8571 0.92 0.8875 150 0.7143 0.8621 0.7813 29 0.7632 0.8529 0.8056 34 0.7744 0.8604 0.8151 0.9596
0.0972 44.0 4664 0.1318 0.7805 0.8767 0.8258 73 0.6447 0.7538 0.6950 65 0.8580 0.9267 0.8910 150 0.7143 0.8621 0.7813 29 0.7632 0.8529 0.8056 34 0.7786 0.8718 0.8226 0.9601
0.1 45.0 4770 0.1328 0.7590 0.8630 0.8077 73 0.64 0.7385 0.6857 65 0.8519 0.92 0.8846 150 0.7143 0.8621 0.7813 29 0.7632 0.8529 0.8056 34 0.7710 0.8632 0.8145 0.9589
0.0971 46.0 4876 0.1309 0.7805 0.8767 0.8258 73 0.6447 0.7538 0.6950 65 0.8625 0.92 0.8903 150 0.7353 0.8621 0.7937 29 0.7632 0.8529 0.8056 34 0.7821 0.8689 0.8232 0.9599
0.0956 47.0 4982 0.1370 0.75 0.8630 0.8025 73 0.6173 0.7692 0.6849 65 0.8466 0.92 0.8818 150 0.6757 0.8621 0.7576 29 0.7436 0.8529 0.7945 34 0.7550 0.8689 0.8079 0.9567
0.0981 48.0 5088 0.1359 0.7529 0.8767 0.8101 73 0.6234 0.7385 0.6761 65 0.8519 0.92 0.8846 150 0.7143 0.8621 0.7813 29 0.7436 0.8529 0.7945 34 0.7638 0.8661 0.8117 0.9574
0.0947 49.0 5194 0.1352 0.7470 0.8493 0.7949 73 0.6364 0.7538 0.6901 65 0.8519 0.92 0.8846 150 0.7143 0.8621 0.7813 29 0.7436 0.8529 0.7945 34 0.7652 0.8632 0.8112 0.9584
0.0941 50.0 5300 0.1356 0.7442 0.8767 0.8050 73 0.6447 0.7538 0.6950 65 0.8519 0.92 0.8846 150 0.7353 0.8621 0.7937 29 0.7436 0.8529 0.7945 34 0.7683 0.8689 0.8155 0.9589
0.0906 51.0 5406 0.1341 0.7561 0.8493 0.8000 73 0.6494 0.7692 0.7042 65 0.8519 0.92 0.8846 150 0.7353 0.8621 0.7937 29 0.7436 0.8529 0.7945 34 0.7716 0.8661 0.8161 0.9589
0.0915 52.0 5512 0.1372 0.7470 0.8493 0.7949 73 0.6410 0.7692 0.6993 65 0.8466 0.92 0.8818 150 0.6944 0.8621 0.7692 29 0.7436 0.8529 0.7945 34 0.7619 0.8661 0.8107 0.9582
0.0919 53.0 5618 0.1410 0.75 0.8630 0.8025 73 0.6279 0.8308 0.7152 65 0.8519 0.92 0.8846 150 0.6579 0.8621 0.7463 29 0.725 0.8529 0.7838 34 0.7537 0.8803 0.8121 0.9559
0.0905 54.0 5724 0.1362 0.7805 0.8767 0.8258 73 0.6322 0.8462 0.7237 65 0.8571 0.92 0.8875 150 0.7353 0.8621 0.7937 29 0.7436 0.8529 0.7945 34 0.7717 0.8860 0.8249 0.9589
0.0905 55.0 5830 0.1383 0.7805 0.8767 0.8258 73 0.6386 0.8154 0.7162 65 0.8519 0.92 0.8846 150 0.7143 0.8621 0.7813 29 0.725 0.8529 0.7838 34 0.7687 0.8803 0.8207 0.9579
0.0904 56.0 5936 0.1353 0.7683 0.8630 0.8129 73 0.6625 0.8154 0.7310 65 0.8519 0.92 0.8846 150 0.7143 0.8621 0.7813 29 0.7632 0.8529 0.8056 34 0.7758 0.8775 0.8235 0.9599
0.0901 57.0 6042 0.1363 0.7590 0.8630 0.8077 73 0.6667 0.8308 0.7397 65 0.8476 0.9267 0.8854 150 0.6757 0.8621 0.7576 29 0.7436 0.8529 0.7945 34 0.7673 0.8832 0.8212 0.9591
0.088 58.0 6148 0.1342 0.7805 0.8767 0.8258 73 0.6579 0.7692 0.7092 65 0.8405 0.9133 0.8754 150 0.6944 0.8621 0.7692 29 0.7436 0.8529 0.7945 34 0.7702 0.8689 0.8166 0.9589
0.0877 59.0 6254 0.1377 0.7805 0.8767 0.8258 73 0.6463 0.8154 0.7211 65 0.8519 0.92 0.8846 150 0.6579 0.8621 0.7463 29 0.7436 0.8529 0.7945 34 0.7667 0.8803 0.8196 0.9582
0.0865 60.0 6360 0.1335 0.7805 0.8767 0.8258 73 0.6623 0.7846 0.7183 65 0.8519 0.92 0.8846 150 0.6757 0.8621 0.7576 29 0.7436 0.8529 0.7945 34 0.7733 0.8746 0.8209 0.9591
0.0859 61.0 6466 0.1317 0.7805 0.8767 0.8258 73 0.6667 0.8 0.7273 65 0.8519 0.92 0.8846 150 0.7353 0.8621 0.7937 29 0.7632 0.8529 0.8056 34 0.7817 0.8775 0.8268 0.9606
0.0848 62.0 6572 0.1351 0.7805 0.8767 0.8258 73 0.6579 0.7692 0.7092 65 0.8519 0.92 0.8846 150 0.6944 0.8621 0.7692 29 0.7436 0.8529 0.7945 34 0.7747 0.8718 0.8204 0.9591
0.0859 63.0 6678 0.1325 0.7805 0.8767 0.8258 73 0.6667 0.8 0.7273 65 0.8519 0.92 0.8846 150 0.7353 0.8621 0.7937 29 0.7436 0.8529 0.7945 34 0.7797 0.8775 0.8257 0.9604
0.087 64.0 6784 0.1291 0.7805 0.8767 0.8258 73 0.6806 0.7538 0.7153 65 0.8457 0.9133 0.8782 150 0.7353 0.8621 0.7937 29 0.7632 0.8529 0.8056 34 0.7835 0.8661 0.8227 0.9609
0.0833 65.0 6890 0.1318 0.7805 0.8767 0.8258 73 0.6753 0.8 0.7324 65 0.8405 0.9133 0.8754 150 0.6944 0.8621 0.7692 29 0.7436 0.8529 0.7945 34 0.7733 0.8746 0.8209 0.9601
0.0824 66.0 6996 0.1351 0.7711 0.8767 0.8205 73 0.6582 0.8 0.7222 65 0.8466 0.92 0.8818 150 0.6944 0.8621 0.7692 29 0.7436 0.8529 0.7945 34 0.77 0.8775 0.8202 0.9594
0.083 67.0 7102 0.1320 0.7805 0.8767 0.8258 73 0.6667 0.8 0.7273 65 0.8519 0.92 0.8846 150 0.7143 0.8621 0.7813 29 0.7632 0.8529 0.8056 34 0.7797 0.8775 0.8257 0.9601
0.0841 68.0 7208 0.1336 0.7805 0.8767 0.8258 73 0.6538 0.7846 0.7133 65 0.8466 0.92 0.8818 150 0.6944 0.8621 0.7692 29 0.7436 0.8529 0.7945 34 0.7714 0.8746 0.8198 0.9594
0.0803 69.0 7314 0.1328 0.7711 0.8767 0.8205 73 0.6709 0.8154 0.7361 65 0.8519 0.92 0.8846 150 0.7143 0.8621 0.7813 29 0.7632 0.8529 0.8056 34 0.7783 0.8803 0.8262 0.9601
0.0822 70.0 7420 0.1315 0.7805 0.8767 0.8258 73 0.68 0.7846 0.7286 65 0.8509 0.9133 0.8810 150 0.7143 0.8621 0.7813 29 0.7632 0.8529 0.8056 34 0.7826 0.8718 0.8248 0.9604
0.0816 71.0 7526 0.1353 0.7647 0.8904 0.8228 73 0.6420 0.8 0.7123 65 0.8466 0.92 0.8818 150 0.7143 0.8621 0.7813 29 0.7436 0.8529 0.7945 34 0.7667 0.8803 0.8196 0.9589
0.0806 72.0 7632 0.1346 0.7738 0.8904 0.8280 73 0.6582 0.8 0.7222 65 0.8466 0.92 0.8818 150 0.7143 0.8621 0.7813 29 0.7436 0.8529 0.7945 34 0.7725 0.8803 0.8229 0.9599
0.0812 73.0 7738 0.1323 0.7805 0.8767 0.8258 73 0.6494 0.7692 0.7042 65 0.8466 0.92 0.8818 150 0.7353 0.8621 0.7937 29 0.7436 0.8529 0.7945 34 0.7747 0.8718 0.8204 0.9604
0.0812 74.0 7844 0.1309 0.7805 0.8767 0.8258 73 0.6761 0.7385 0.7059 65 0.8466 0.92 0.8818 150 0.7143 0.8621 0.7813 29 0.7436 0.8529 0.7945 34 0.7795 0.8661 0.8205 0.9606
0.0806 75.0 7950 0.1347 0.7738 0.8904 0.8280 73 0.6582 0.8 0.7222 65 0.8466 0.92 0.8818 150 0.6757 0.8621 0.7576 29 0.7436 0.8529 0.7945 34 0.7687 0.8803 0.8207 0.9594
0.0791 76.0 8056 0.1334 0.7711 0.8767 0.8205 73 0.6667 0.8 0.7273 65 0.8466 0.92 0.8818 150 0.6757 0.8621 0.7576 29 0.7436 0.8529 0.7945 34 0.77 0.8775 0.8202 0.9596
0.0804 77.0 8162 0.1319 0.7711 0.8767 0.8205 73 0.6625 0.8154 0.7310 65 0.8466 0.92 0.8818 150 0.7353 0.8621 0.7937 29 0.7632 0.8529 0.8056 34 0.7764 0.8803 0.8251 0.9609
0.0788 78.0 8268 0.1305 0.7805 0.8767 0.8258 73 0.68 0.7846 0.7286 65 0.8457 0.9133 0.8782 150 0.7353 0.8621 0.7937 29 0.7632 0.8529 0.8056 34 0.7826 0.8718 0.8248 0.9616
0.0796 79.0 8374 0.1373 0.7647 0.8904 0.8228 73 0.6463 0.8154 0.7211 65 0.8466 0.92 0.8818 150 0.6579 0.8621 0.7463 29 0.7436 0.8529 0.7945 34 0.7617 0.8832 0.8179 0.9587
0.0791 80.0 8480 0.1340 0.7711 0.8767 0.8205 73 0.65 0.8 0.7172 65 0.8466 0.92 0.8818 150 0.6757 0.8621 0.7576 29 0.7436 0.8529 0.7945 34 0.7662 0.8775 0.8181 0.9589
0.0785 81.0 8586 0.1338 0.7738 0.8904 0.8280 73 0.6625 0.8154 0.7310 65 0.8466 0.92 0.8818 150 0.7353 0.8621 0.7937 29 0.7436 0.8529 0.7945 34 0.775 0.8832 0.8256 0.9609
0.0796 82.0 8692 0.1336 0.7647 0.8904 0.8228 73 0.6582 0.8 0.7222 65 0.8466 0.92 0.8818 150 0.7353 0.8621 0.7937 29 0.7436 0.8529 0.7945 34 0.7725 0.8803 0.8229 0.9604
0.0783 83.0 8798 0.1349 0.7647 0.8904 0.8228 73 0.6538 0.7846 0.7133 65 0.8466 0.92 0.8818 150 0.6757 0.8621 0.7576 29 0.7436 0.8529 0.7945 34 0.7662 0.8775 0.8181 0.9589
0.0797 84.0 8904 0.1347 0.7738 0.8904 0.8280 73 0.6463 0.8154 0.7211 65 0.8519 0.92 0.8846 150 0.6757 0.8621 0.7576 29 0.7436 0.8529 0.7945 34 0.7673 0.8832 0.8212 0.9594
0.0782 85.0 9010 0.1357 0.7647 0.8904 0.8228 73 0.6543 0.8154 0.7260 65 0.8466 0.92 0.8818 150 0.6579 0.8621 0.7463 29 0.7436 0.8529 0.7945 34 0.7635 0.8832 0.8190 0.9589
0.0775 86.0 9116 0.1326 0.7805 0.8767 0.8258 73 0.6623 0.7846 0.7183 65 0.8466 0.92 0.8818 150 0.7143 0.8621 0.7813 29 0.7436 0.8529 0.7945 34 0.7753 0.8746 0.8220 0.9606
0.0778 87.0 9222 0.1318 0.7805 0.8767 0.8258 73 0.6623 0.7846 0.7183 65 0.8466 0.92 0.8818 150 0.7353 0.8621 0.7937 29 0.7436 0.8529 0.7945 34 0.7772 0.8746 0.8231 0.9609
0.0759 88.0 9328 0.1331 0.7711 0.8767 0.8205 73 0.6420 0.8 0.7123 65 0.8519 0.92 0.8846 150 0.7143 0.8621 0.7813 29 0.7436 0.8529 0.7945 34 0.77 0.8775 0.8202 0.9596
0.0797 89.0 9434 0.1332 0.7805 0.8767 0.8258 73 0.6623 0.7846 0.7183 65 0.8466 0.92 0.8818 150 0.7143 0.8621 0.7813 29 0.7436 0.8529 0.7945 34 0.7753 0.8746 0.8220 0.9604
0.0746 90.0 9540 0.1320 0.7805 0.8767 0.8258 73 0.6538 0.7846 0.7133 65 0.8571 0.92 0.8875 150 0.7353 0.8621 0.7937 29 0.7436 0.8529 0.7945 34 0.7792 0.8746 0.8242 0.9616
0.0775 91.0 9646 0.1341 0.7711 0.8767 0.8205 73 0.6463 0.8154 0.7211 65 0.8519 0.92 0.8846 150 0.6757 0.8621 0.7576 29 0.7436 0.8529 0.7945 34 0.7667 0.8803 0.8196 0.9589
0.0769 92.0 9752 0.1325 0.7711 0.8767 0.8205 73 0.6538 0.7846 0.7133 65 0.8519 0.92 0.8846 150 0.7353 0.8621 0.7937 29 0.7436 0.8529 0.7945 34 0.7753 0.8746 0.8220 0.9609
0.0763 93.0 9858 0.1333 0.7711 0.8767 0.8205 73 0.65 0.8 0.7172 65 0.8519 0.92 0.8846 150 0.6757 0.8621 0.7576 29 0.7436 0.8529 0.7945 34 0.7681 0.8775 0.8191 0.9594
0.0742 94.0 9964 0.1329 0.7711 0.8767 0.8205 73 0.6623 0.7846 0.7183 65 0.8466 0.92 0.8818 150 0.7143 0.8621 0.7813 29 0.7436 0.8529 0.7945 34 0.7733 0.8746 0.8209 0.9604
0.0772 95.0 10070 0.1347 0.7619 0.8767 0.8153 73 0.6625 0.8154 0.7310 65 0.8466 0.92 0.8818 150 0.6757 0.8621 0.7576 29 0.7436 0.8529 0.7945 34 0.7667 0.8803 0.8196 0.9589
0.0757 96.0 10176 0.1346 0.7711 0.8767 0.8205 73 0.6625 0.8154 0.7310 65 0.8466 0.92 0.8818 150 0.6757 0.8621 0.7576 29 0.7436 0.8529 0.7945 34 0.7687 0.8803 0.8207 0.9594
0.0754 97.0 10282 0.1330 0.7711 0.8767 0.8205 73 0.6623 0.7846 0.7183 65 0.8466 0.92 0.8818 150 0.6757 0.8621 0.7576 29 0.7436 0.8529 0.7945 34 0.7694 0.8746 0.8187 0.9599
0.0766 98.0 10388 0.1333 0.7711 0.8767 0.8205 73 0.6623 0.7846 0.7183 65 0.8466 0.92 0.8818 150 0.6757 0.8621 0.7576 29 0.7436 0.8529 0.7945 34 0.7694 0.8746 0.8187 0.9599
0.0737 99.0 10494 0.1332 0.7711 0.8767 0.8205 73 0.6667 0.8 0.7273 65 0.8466 0.92 0.8818 150 0.6757 0.8621 0.7576 29 0.7436 0.8529 0.7945 34 0.77 0.8775 0.8202 0.9601
0.0765 100.0 10600 0.1332 0.7711 0.8767 0.8205 73 0.6667 0.8 0.7273 65 0.8466 0.92 0.8818 150 0.6757 0.8621 0.7576 29 0.7436 0.8529 0.7945 34 0.77 0.8775 0.8202 0.9601

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference API
Unable to determine this model's library. Check the docs .

Model tree for apwic/nerugm-seq_bn-rf64-4

Finetuned
(365)
this model