Edit model card

kmdb_ner_model

This model is a fine-tuned version of SZTAKI-HLT/hubert-base-cc on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0324
  • Precision: 0.8534
  • Recall: 0.8663
  • F1: 0.8598
  • Accuracy: 0.9888

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: 0.0001
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.1602 0.01 100 0.1829 0.3243 0.4688 0.3834 0.9394
0.0987 0.02 200 0.0950 0.4735 0.5440 0.5063 0.9645
0.0798 0.03 300 0.0797 0.5444 0.6213 0.5804 0.9700
0.0621 0.04 400 0.0721 0.6397 0.6657 0.6524 0.9702
0.0755 0.05 500 0.0754 0.3976 0.5034 0.4443 0.9685
0.0652 0.05 600 0.0756 0.4717 0.5575 0.5110 0.9666
0.0469 0.06 700 0.0753 0.6274 0.6476 0.6373 0.9705
0.0611 0.07 800 0.0650 0.6423 0.6597 0.6509 0.9715
0.0683 0.08 900 0.0664 0.5837 0.6236 0.6030 0.9712
0.0465 0.09 1000 0.0654 0.6410 0.6559 0.6483 0.9711
0.0668 0.1 1100 0.0648 0.6061 0.6521 0.6283 0.9713
0.0561 0.11 1200 0.0667 0.4814 0.5733 0.5233 0.9717
0.049 0.12 1300 0.0612 0.6627 0.7160 0.6883 0.9761
0.0619 0.13 1400 0.0602 0.6138 0.6461 0.6296 0.9712
0.0362 0.14 1500 0.0580 0.7041 0.7258 0.7148 0.9769
0.0503 0.15 1600 0.0575 0.5589 0.6311 0.5928 0.9752
0.0521 0.16 1700 0.0594 0.5843 0.6356 0.6089 0.9737
0.0537 0.16 1800 0.0602 0.6281 0.6814 0.6537 0.9758
0.0439 0.17 1900 0.0538 0.6605 0.7280 0.6926 0.9790
0.0376 0.18 2000 0.0553 0.7142 0.7303 0.7221 0.9779
0.0421 0.19 2100 0.0554 0.6985 0.7258 0.7119 0.9780
0.0387 0.2 2200 0.0560 0.7076 0.7145 0.7110 0.9775
0.0548 0.21 2300 0.0559 0.5948 0.6551 0.6235 0.9753
0.0502 0.22 2400 0.0555 0.6095 0.6860 0.6455 0.9768
0.0461 0.23 2500 0.0510 0.6838 0.7100 0.6966 0.9783
0.0482 0.24 2600 0.0559 0.6608 0.7010 0.6803 0.9771
0.0647 0.25 2700 0.0478 0.6293 0.7130 0.6685 0.9797
0.0587 0.26 2800 0.0516 0.6861 0.7175 0.7014 0.9775
0.0618 0.27 2900 0.0566 0.6164 0.7040 0.6573 0.9776
0.0418 0.27 3000 0.0622 0.6069 0.6694 0.6367 0.9714
0.0401 0.28 3100 0.0493 0.6623 0.7205 0.6902 0.9780
0.0488 0.29 3200 0.0531 0.6982 0.7423 0.7196 0.9785
0.0396 0.3 3300 0.0505 0.6872 0.7393 0.7123 0.9795
0.0475 0.31 3400 0.0521 0.7220 0.7415 0.7317 0.9789
0.0455 0.32 3500 0.0566 0.5941 0.6664 0.6282 0.9766
0.0411 0.33 3600 0.0478 0.6477 0.7100 0.6774 0.9791
0.0582 0.34 3700 0.0548 0.6767 0.7092 0.6926 0.9759
0.066 0.35 3800 0.0523 0.6894 0.7355 0.7117 0.9775
0.0309 0.36 3900 0.0472 0.6868 0.7348 0.7100 0.9800
0.0562 0.37 4000 0.0492 0.6776 0.7265 0.7012 0.9782
0.0419 0.38 4100 0.0535 0.6655 0.7130 0.6884 0.9778
0.0459 0.38 4200 0.0433 0.6897 0.7431 0.7154 0.9808
0.047 0.39 4300 0.0481 0.6817 0.7273 0.7037 0.9794
0.0527 0.4 4400 0.0496 0.6165 0.6980 0.6547 0.9788
0.0427 0.41 4500 0.0458 0.6577 0.7175 0.6863 0.9792
0.0597 0.42 4600 0.0446 0.7123 0.7385 0.7252 0.9789
0.0457 0.43 4700 0.0491 0.6816 0.7303 0.7051 0.9795
0.0439 0.44 4800 0.0483 0.6987 0.7438 0.7205 0.9785
0.0488 0.45 4900 0.0495 0.6920 0.7393 0.7149 0.9804
0.0401 0.46 5000 0.0476 0.7116 0.7415 0.7263 0.9790
0.0432 0.47 5100 0.0490 0.6914 0.7220 0.7064 0.9796
0.0572 0.48 5200 0.0459 0.6770 0.7528 0.7129 0.9811
0.0496 0.48 5300 0.0536 0.7123 0.7461 0.7288 0.9781
0.0547 0.49 5400 0.0532 0.6403 0.6942 0.6662 0.9747
0.0509 0.5 5500 0.0499 0.6758 0.7378 0.7055 0.9796
0.0531 0.51 5600 0.0460 0.6980 0.7521 0.7241 0.9813
0.0611 0.52 5700 0.0466 0.644 0.7258 0.6824 0.9804
0.0487 0.53 5800 0.0465 0.6978 0.7513 0.7236 0.9805
0.0339 0.54 5900 0.0489 0.7001 0.7453 0.7220 0.9801
0.04 0.55 6000 0.0475 0.6674 0.7250 0.6950 0.9809
0.0571 0.56 6100 0.0495 0.6787 0.7363 0.7063 0.9806
0.0469 0.57 6200 0.0471 0.7212 0.7423 0.7316 0.9788
0.0371 0.58 6300 0.0531 0.5764 0.6521 0.6119 0.9774
0.0469 0.59 6400 0.0485 0.7135 0.7483 0.7305 0.9789
0.0388 0.59 6500 0.0480 0.7370 0.7370 0.7370 0.9788
0.045 0.6 6600 0.0455 0.6893 0.7385 0.7131 0.9813
0.0456 0.61 6700 0.0530 0.6611 0.6829 0.6718 0.9744
0.0485 0.62 6800 0.0499 0.6855 0.7400 0.7117 0.9797
0.0383 0.63 6900 0.0467 0.7344 0.7603 0.7471 0.9814
0.0424 0.64 7000 0.0445 0.7104 0.7573 0.7331 0.9818
0.0391 0.65 7100 0.0430 0.7576 0.7844 0.7708 0.9823
0.0563 0.66 7200 0.0437 0.7536 0.7791 0.7662 0.9834
0.0509 0.67 7300 0.0442 0.7424 0.7663 0.7542 0.9815
0.0441 0.68 7400 0.0459 0.7101 0.7378 0.7237 0.9797
0.0387 0.69 7500 0.0436 0.7395 0.7528 0.7461 0.9808
0.0397 0.7 7600 0.0450 0.7437 0.7588 0.7512 0.9810
0.0387 0.7 7700 0.0421 0.7436 0.7693 0.7563 0.9817
0.0425 0.71 7800 0.0438 0.7321 0.7761 0.7535 0.9812
0.0361 0.72 7900 0.0463 0.7412 0.7769 0.7586 0.9805
0.0405 0.73 8000 0.0449 0.7603 0.7866 0.7733 0.9825
0.0418 0.74 8100 0.0419 0.7681 0.7986 0.7831 0.9836
0.0333 0.75 8200 0.0437 0.7302 0.7603 0.7449 0.9809
0.0376 0.76 8300 0.0419 0.7600 0.7874 0.7734 0.9830
0.0381 0.77 8400 0.0442 0.7455 0.7701 0.7576 0.9804
0.0355 0.78 8500 0.0434 0.7390 0.7829 0.7603 0.9825
0.0431 0.79 8600 0.0486 0.6938 0.7288 0.7109 0.9791
0.0399 0.8 8700 0.0502 0.7317 0.7724 0.7515 0.9798
0.0533 0.8 8800 0.0441 0.7194 0.7588 0.7386 0.9811
0.0336 0.81 8900 0.0433 0.6454 0.7288 0.6845 0.9803
0.0527 0.82 9000 0.0449 0.75 0.7754 0.7625 0.9823
0.0384 0.83 9100 0.0438 0.7124 0.7573 0.7342 0.9808
0.0362 0.84 9200 0.0442 0.7200 0.7536 0.7364 0.9818
0.0446 0.85 9300 0.0497 0.6768 0.7220 0.6987 0.9778
0.0394 0.86 9400 0.0436 0.7268 0.7536 0.7399 0.9805
0.0467 0.87 9500 0.0464 0.7246 0.7393 0.7319 0.9790
0.0513 0.88 9600 0.0431 0.7207 0.7656 0.7424 0.9816
0.0498 0.89 9700 0.0418 0.7184 0.7724 0.7444 0.9816
0.0323 0.9 9800 0.0445 0.7014 0.7483 0.7241 0.9807
0.0353 0.91 9900 0.0436 0.75 0.7799 0.7646 0.9824
0.0404 0.91 10000 0.0439 0.7415 0.7693 0.7552 0.9803
0.0404 0.92 10100 0.0438 0.7300 0.7596 0.7445 0.9811
0.0355 0.93 10200 0.0423 0.7420 0.7866 0.7637 0.9824
0.0423 0.94 10300 0.0443 0.7292 0.7686 0.7484 0.9804
0.0376 0.95 10400 0.0444 0.7468 0.7844 0.7651 0.9827
0.0351 0.96 10500 0.0395 0.7373 0.7761 0.7562 0.9827
0.0264 0.97 10600 0.0429 0.7487 0.7836 0.7658 0.9814
0.0368 0.98 10700 0.0420 0.6840 0.7415 0.7116 0.9811
0.0318 0.99 10800 0.0399 0.7599 0.7754 0.7676 0.9830
0.0501 1.0 10900 0.0389 0.7393 0.7776 0.7580 0.9823
0.0309 1.01 11000 0.0419 0.7307 0.7806 0.7548 0.9834
0.0402 1.02 11100 0.0378 0.7649 0.8092 0.7864 0.9845
0.0417 1.02 11200 0.0404 0.7570 0.7889 0.7726 0.9837
0.031 1.03 11300 0.0402 0.7428 0.7746 0.7584 0.9819
0.039 1.04 11400 0.0409 0.7460 0.7791 0.7622 0.9822
0.0245 1.05 11500 0.0425 0.744 0.7686 0.7561 0.9816
0.0341 1.06 11600 0.0392 0.7420 0.7821 0.7615 0.9830
0.0359 1.07 11700 0.0422 0.7211 0.7633 0.7416 0.9824
0.0292 1.08 11800 0.0417 0.7457 0.7844 0.7646 0.9829
0.0427 1.09 11900 0.0380 0.7687 0.7889 0.7786 0.9840
0.0465 1.1 12000 0.0393 0.7502 0.7739 0.7618 0.9819
0.0264 1.11 12100 0.0408 0.7417 0.7746 0.7578 0.9823
0.038 1.12 12200 0.0386 0.7737 0.7964 0.7849 0.9839
0.0383 1.13 12300 0.0439 0.7430 0.7754 0.7588 0.9823
0.0324 1.13 12400 0.0401 0.7491 0.7851 0.7667 0.9821
0.0374 1.14 12500 0.0387 0.7836 0.7889 0.7862 0.9834
0.0314 1.15 12600 0.0410 0.7641 0.7934 0.7785 0.9836
0.0343 1.16 12700 0.0430 0.7626 0.7866 0.7744 0.9823
0.0319 1.17 12800 0.0405 0.7450 0.7791 0.7617 0.9830
0.0367 1.18 12900 0.0447 0.7660 0.8017 0.7834 0.9831
0.0347 1.19 13000 0.0409 0.7786 0.7979 0.7881 0.9833
0.0293 1.2 13100 0.0408 0.7686 0.8084 0.7880 0.9839
0.0288 1.21 13200 0.0406 0.7656 0.8002 0.7825 0.9836
0.0409 1.22 13300 0.0424 0.7502 0.7896 0.7694 0.9826
0.0326 1.23 13400 0.0416 0.7952 0.8137 0.8043 0.9843
0.0381 1.23 13500 0.0406 0.7629 0.7761 0.7695 0.9826
0.0343 1.24 13600 0.1198 0.7383 0.7926 0.7645 0.9821
0.0238 1.25 13700 0.0379 0.7778 0.7889 0.7833 0.9835
0.0333 1.26 13800 0.0400 0.7655 0.8047 0.7846 0.9834
0.0423 1.27 13900 0.0425 0.7351 0.7671 0.7507 0.9803
0.0277 1.28 14000 0.0393 0.7766 0.8069 0.7915 0.9837
0.0363 1.29 14100 0.0416 0.7548 0.7724 0.7635 0.9821
0.0286 1.3 14200 0.0425 0.7653 0.7889 0.7769 0.9828
0.0373 1.31 14300 0.0384 0.7738 0.7994 0.7864 0.9844
0.0348 1.32 14400 0.0367 0.7691 0.8032 0.7857 0.9845
0.0394 1.33 14500 0.0362 0.7893 0.8107 0.7999 0.9844
0.0321 1.34 14600 0.0378 0.7908 0.8152 0.8028 0.9846
0.0347 1.34 14700 0.0393 0.7559 0.7979 0.7763 0.9834
0.0317 1.35 14800 0.0388 0.7667 0.8002 0.7831 0.9841
0.0293 1.36 14900 0.0356 0.7889 0.8144 0.8015 0.9852
0.0396 1.37 15000 0.0353 0.7907 0.8174 0.8038 0.9856
0.0342 1.38 15100 0.0390 0.7717 0.7896 0.7805 0.9822
0.0262 1.39 15200 0.0396 0.7325 0.7776 0.7544 0.9827
0.0343 1.4 15300 0.0373 0.7834 0.8069 0.7950 0.9842
0.036 1.41 15400 0.0366 0.7720 0.8039 0.7876 0.9852
0.0355 1.42 15500 0.0479 0.7231 0.7476 0.7351 0.9797
0.037 1.43 15600 0.0372 0.7961 0.8182 0.8070 0.9849
0.0354 1.44 15700 0.0366 0.7852 0.8129 0.7988 0.9837
0.0311 1.45 15800 0.0391 0.7764 0.8009 0.7885 0.9842
0.0375 1.45 15900 0.0378 0.7919 0.8122 0.8019 0.9845
0.031 1.46 16000 0.0378 0.7902 0.8152 0.8025 0.9848
0.0326 1.47 16100 0.0369 0.7969 0.8227 0.8096 0.9846
0.0258 1.48 16200 0.0392 0.7900 0.8167 0.8031 0.9844
0.0238 1.49 16300 0.0430 0.7870 0.8077 0.7972 0.9834
0.0302 1.5 16400 0.0369 0.7980 0.8310 0.8141 0.9854
0.0319 1.51 16500 0.0379 0.8054 0.8242 0.8147 0.9853
0.0275 1.52 16600 0.0369 0.7942 0.8295 0.8115 0.9852
0.0426 1.53 16700 0.0359 0.7865 0.8167 0.8013 0.9848
0.0184 1.54 16800 0.0379 0.7906 0.8227 0.8063 0.9856
0.0334 1.55 16900 0.0369 0.8130 0.8362 0.8244 0.9857
0.0361 1.56 17000 0.0356 0.7847 0.8189 0.8015 0.9851
0.0319 1.56 17100 0.0359 0.7923 0.8197 0.8058 0.9852
0.0336 1.57 17200 0.0383 0.7726 0.8092 0.7905 0.9843
0.03 1.58 17300 0.0384 0.7968 0.8219 0.8092 0.9855
0.0399 1.59 17400 0.0367 0.8074 0.8317 0.8194 0.9860
0.0405 1.6 17500 0.0359 0.8093 0.8227 0.8159 0.9850
0.0262 1.61 17600 0.0388 0.7809 0.8219 0.8009 0.9848
0.0291 1.62 17700 0.0406 0.8071 0.8234 0.8152 0.9850
0.0201 1.63 17800 0.0351 0.8078 0.8272 0.8174 0.9860
0.0269 1.64 17900 0.0386 0.7833 0.8174 0.8000 0.9851
0.0386 1.65 18000 0.0381 0.8141 0.8325 0.8232 0.9860
0.0316 1.66 18100 0.0360 0.7996 0.8242 0.8117 0.9850
0.026 1.66 18200 0.0346 0.8004 0.8347 0.8172 0.9864
0.0356 1.67 18300 0.0336 0.8032 0.8279 0.8154 0.9865
0.0424 1.68 18400 0.0346 0.7896 0.8122 0.8007 0.9849
0.035 1.69 18500 0.0335 0.8084 0.8400 0.8239 0.9863
0.033 1.7 18600 0.0352 0.8069 0.8257 0.8162 0.9858
0.0287 1.71 18700 0.0353 0.8025 0.8242 0.8132 0.9852
0.0341 1.72 18800 0.0347 0.7950 0.8189 0.8068 0.9863
0.0285 1.73 18900 0.0362 0.7945 0.8219 0.8080 0.9850
0.0307 1.74 19000 0.0340 0.8076 0.8422 0.8246 0.9862
0.0227 1.75 19100 0.0363 0.8084 0.8370 0.8224 0.9855
0.0377 1.76 19200 0.0351 0.7922 0.8249 0.8082 0.9849
0.0309 1.77 19300 0.0325 0.808 0.8347 0.8211 0.9869
0.0378 1.77 19400 0.0332 0.8066 0.8272 0.8168 0.9862
0.0353 1.78 19500 0.0335 0.8105 0.8355 0.8228 0.9861
0.0338 1.79 19600 0.0324 0.8026 0.8310 0.8165 0.9864
0.0304 1.8 19700 0.0343 0.8015 0.8189 0.8101 0.9852
0.0359 1.81 19800 0.0351 0.8029 0.8234 0.8131 0.9860
0.0314 1.82 19900 0.0343 0.8045 0.8317 0.8179 0.9857
0.0275 1.83 20000 0.0330 0.8055 0.8340 0.8195 0.9866
0.0352 1.84 20100 0.0338 0.8150 0.8340 0.8244 0.9862
0.0367 1.85 20200 0.0355 0.8050 0.8279 0.8163 0.9852
0.035 1.86 20300 0.0313 0.8224 0.8385 0.8304 0.9876
0.0327 1.87 20400 0.0329 0.8272 0.8415 0.8343 0.9871
0.0339 1.88 20500 0.0326 0.8142 0.8362 0.8251 0.9871
0.0327 1.88 20600 0.0322 0.8242 0.8385 0.8313 0.9872
0.0288 1.89 20700 0.0321 0.8267 0.8460 0.8362 0.9871
0.0423 1.9 20800 0.0313 0.8112 0.8392 0.8250 0.9869
0.0311 1.91 20900 0.0314 0.8245 0.8542 0.8391 0.9870
0.025 1.92 21000 0.0325 0.8218 0.8422 0.8319 0.9864
0.0261 1.93 21100 0.0330 0.8200 0.8452 0.8324 0.9864
0.0382 1.94 21200 0.0334 0.8148 0.8332 0.8239 0.9860
0.0341 1.95 21300 0.0340 0.7906 0.8227 0.8063 0.9857
0.0291 1.96 21400 0.0340 0.8173 0.8370 0.8270 0.9864
0.0387 1.97 21500 0.0336 0.8082 0.8295 0.8187 0.9863
0.032 1.98 21600 0.0338 0.8165 0.8325 0.8244 0.9866
0.0351 1.98 21700 0.0345 0.8073 0.8340 0.8204 0.9866
0.033 1.99 21800 0.0317 0.8047 0.8295 0.8169 0.9866
0.024 2.0 21900 0.0317 0.8244 0.8467 0.8354 0.9871
0.0291 2.01 22000 0.0311 0.8309 0.8490 0.8398 0.9867
0.025 2.02 22100 0.0326 0.8363 0.8482 0.8422 0.9870
0.0238 2.03 22200 0.0325 0.7980 0.8310 0.8141 0.9867
0.022 2.04 22300 0.0328 0.8087 0.8385 0.8233 0.9865
0.0202 2.05 22400 0.0314 0.8007 0.8302 0.8152 0.9860
0.0226 2.06 22500 0.0316 0.8246 0.8407 0.8326 0.9867
0.0326 2.07 22600 0.0359 0.8042 0.8302 0.8170 0.9860
0.0324 2.08 22700 0.0330 0.8135 0.8355 0.8243 0.9864
0.0283 2.09 22800 0.0329 0.8269 0.8467 0.8367 0.9868
0.0206 2.09 22900 0.0330 0.8338 0.8482 0.8410 0.9870
0.0272 2.1 23000 0.0338 0.8202 0.8400 0.8300 0.9864
0.0212 2.11 23100 0.0331 0.8206 0.8385 0.8294 0.9866
0.0238 2.12 23200 0.0339 0.8326 0.8520 0.8422 0.9879
0.025 2.13 23300 0.0328 0.8205 0.8415 0.8309 0.9871
0.0268 2.14 23400 0.0358 0.8164 0.8287 0.8225 0.9864
0.03 2.15 23500 0.0343 0.8233 0.8332 0.8282 0.9862
0.0273 2.16 23600 0.0339 0.8142 0.8362 0.8251 0.9861
0.0209 2.17 23700 0.0359 0.8204 0.8340 0.8271 0.9864
0.0262 2.18 23800 0.0359 0.8170 0.8385 0.8276 0.9866
0.0223 2.19 23900 0.0347 0.8315 0.8490 0.8401 0.9870
0.019 2.2 24000 0.0352 0.8203 0.8302 0.8252 0.9863
0.0308 2.2 24100 0.0321 0.8303 0.8452 0.8377 0.9871
0.0244 2.21 24200 0.0323 0.8103 0.8249 0.8176 0.9868
0.0255 2.22 24300 0.0337 0.8315 0.8452 0.8383 0.9869
0.0304 2.23 24400 0.0328 0.8138 0.8407 0.8271 0.9863
0.0328 2.24 24500 0.0350 0.8107 0.8332 0.8218 0.9861
0.0235 2.25 24600 0.0313 0.8380 0.8512 0.8446 0.9873
0.0203 2.26 24700 0.0349 0.8159 0.8422 0.8288 0.9864
0.0243 2.27 24800 0.0337 0.8216 0.8340 0.8277 0.9862
0.0222 2.28 24900 0.0328 0.8144 0.8437 0.8288 0.9866
0.0279 2.29 25000 0.0345 0.7971 0.8204 0.8086 0.9855
0.0225 2.3 25100 0.0341 0.8168 0.8377 0.8272 0.9864
0.0228 2.31 25200 0.0339 0.8080 0.8317 0.8197 0.9860
0.0279 2.31 25300 0.0333 0.8202 0.8430 0.8314 0.9867
0.0146 2.32 25400 0.0378 0.8123 0.8355 0.8237 0.9851
0.0215 2.33 25500 0.0350 0.8197 0.8437 0.8315 0.9858
0.0237 2.34 25600 0.0326 0.8312 0.8475 0.8393 0.9876
0.0291 2.35 25700 0.0327 0.8214 0.8430 0.8320 0.9870
0.026 2.36 25800 0.0344 0.8200 0.8422 0.8310 0.9867
0.0261 2.37 25900 0.0343 0.8165 0.8392 0.8277 0.9864
0.0268 2.38 26000 0.0356 0.8162 0.8310 0.8235 0.9863
0.0262 2.39 26100 0.0352 0.8263 0.8400 0.8331 0.9861
0.0202 2.4 26200 0.0347 0.8228 0.8475 0.8349 0.9867
0.0307 2.41 26300 0.0332 0.8288 0.8437 0.8362 0.9867
0.0253 2.41 26400 0.0325 0.8322 0.8497 0.8409 0.9875
0.0318 2.42 26500 0.0324 0.8236 0.8385 0.8310 0.9866
0.0216 2.43 26600 0.0326 0.8369 0.8482 0.8425 0.9872
0.0241 2.44 26700 0.0326 0.8292 0.8460 0.8375 0.9865
0.0226 2.45 26800 0.0321 0.8341 0.8535 0.8437 0.9879
0.0229 2.46 26900 0.0352 0.8136 0.8295 0.8214 0.9860
0.029 2.47 27000 0.0323 0.8395 0.8527 0.8461 0.9875
0.0197 2.48 27100 0.0341 0.8216 0.8407 0.8310 0.9864
0.0175 2.49 27200 0.0349 0.8237 0.8392 0.8314 0.9865
0.0193 2.5 27300 0.0325 0.8322 0.8460 0.8390 0.9872
0.0292 2.51 27400 0.0325 0.8255 0.8422 0.8338 0.9867
0.0217 2.52 27500 0.0344 0.8328 0.8460 0.8394 0.9872
0.0249 2.52 27600 0.0328 0.8269 0.8467 0.8367 0.9876
0.0277 2.53 27700 0.0307 0.8416 0.8542 0.8479 0.9876
0.0285 2.54 27800 0.0311 0.8201 0.8460 0.8328 0.9871
0.0238 2.55 27900 0.0306 0.8305 0.8467 0.8385 0.9870
0.0261 2.56 28000 0.0326 0.8300 0.8475 0.8387 0.9873
0.0258 2.57 28100 0.0319 0.8323 0.8467 0.8395 0.9872
0.0208 2.58 28200 0.0322 0.8259 0.8482 0.8369 0.9875
0.0191 2.59 28300 0.0337 0.8230 0.8385 0.8307 0.9867
0.0254 2.6 28400 0.0308 0.8385 0.8505 0.8445 0.9878
0.0283 2.61 28500 0.0313 0.8273 0.8422 0.8347 0.9876
0.032 2.62 28600 0.0311 0.8293 0.8430 0.8361 0.9879
0.0175 2.63 28700 0.0326 0.8363 0.8557 0.8459 0.9877
0.0298 2.63 28800 0.0315 0.8396 0.8535 0.8465 0.9882
0.0156 2.64 28900 0.0305 0.8337 0.8512 0.8424 0.9880
0.0185 2.65 29000 0.0327 0.8320 0.8445 0.8382 0.9873
0.0259 2.66 29100 0.0313 0.8198 0.8407 0.8301 0.9872
0.019 2.67 29200 0.0306 0.8336 0.8430 0.8383 0.9875
0.0301 2.68 29300 0.0315 0.8211 0.8377 0.8293 0.9872
0.0294 2.69 29400 0.0308 0.8277 0.8407 0.8341 0.9875
0.0261 2.7 29500 0.0320 0.8234 0.8445 0.8338 0.9873
0.0373 2.71 29600 0.0295 0.8366 0.8542 0.8454 0.9879
0.0168 2.72 29700 0.0308 0.8284 0.8452 0.8367 0.9874
0.0316 2.73 29800 0.0319 0.8429 0.8505 0.8467 0.9876
0.0241 2.74 29900 0.0311 0.8208 0.8362 0.8284 0.9869
0.0237 2.74 30000 0.0302 0.8359 0.8497 0.8428 0.9880
0.0268 2.75 30100 0.0318 0.8310 0.8497 0.8403 0.9871
0.0206 2.76 30200 0.0325 0.8290 0.8452 0.8371 0.9869
0.022 2.77 30300 0.0329 0.8277 0.8407 0.8341 0.9872
0.0209 2.78 30400 0.0324 0.8174 0.8340 0.8256 0.9871
0.0241 2.79 30500 0.0313 0.8163 0.8347 0.8254 0.9870
0.0287 2.8 30600 0.0312 0.8217 0.8377 0.8296 0.9869
0.0208 2.81 30700 0.0316 0.8338 0.8482 0.8410 0.9873
0.0199 2.82 30800 0.0317 0.8231 0.8422 0.8325 0.9871
0.021 2.83 30900 0.0317 0.8266 0.8490 0.8377 0.9870
0.0206 2.84 31000 0.0311 0.8459 0.8618 0.8537 0.9884
0.0206 2.84 31100 0.0313 0.8298 0.8422 0.8359 0.9866
0.018 2.85 31200 0.0307 0.8332 0.8520 0.8425 0.9876
0.0221 2.86 31300 0.0322 0.8358 0.8452 0.8405 0.9873
0.0224 2.87 31400 0.0304 0.8353 0.8497 0.8425 0.9872
0.0251 2.88 31500 0.0295 0.8354 0.8505 0.8429 0.9877
0.0267 2.89 31600 0.0345 0.8167 0.8370 0.8267 0.9861
0.0212 2.9 31700 0.0306 0.8374 0.8550 0.8461 0.9876
0.0233 2.91 31800 0.0306 0.8401 0.8527 0.8464 0.9872
0.0133 2.92 31900 0.0295 0.8438 0.8565 0.8501 0.9880
0.0167 2.93 32000 0.0303 0.8292 0.8497 0.8393 0.9870
0.0229 2.94 32100 0.0294 0.8327 0.8565 0.8444 0.9876
0.0323 2.95 32200 0.0314 0.8379 0.8467 0.8423 0.9867
0.0206 2.95 32300 0.0306 0.8503 0.8580 0.8542 0.9883
0.0275 2.96 32400 0.0288 0.8498 0.8588 0.8543 0.9884
0.023 2.97 32500 0.0290 0.8383 0.8452 0.8418 0.9869
0.0215 2.98 32600 0.0300 0.8375 0.8482 0.8429 0.9874
0.0228 2.99 32700 0.0294 0.8407 0.8565 0.8485 0.9878
0.0257 3.0 32800 0.0293 0.8458 0.8573 0.8515 0.9881
0.0107 3.01 32900 0.0307 0.8474 0.8595 0.8534 0.9882
0.0112 3.02 33000 0.0314 0.8442 0.8550 0.8496 0.9879
0.0101 3.03 33100 0.0314 0.8513 0.8648 0.8580 0.9886
0.0187 3.04 33200 0.0314 0.8500 0.8603 0.8551 0.9881
0.0125 3.05 33300 0.0323 0.8534 0.8663 0.8598 0.9886
0.0183 3.06 33400 0.0324 0.8541 0.8618 0.8579 0.9884
0.0205 3.06 33500 0.0323 0.8275 0.8505 0.8388 0.9874
0.0118 3.07 33600 0.0320 0.8450 0.8557 0.8503 0.9880
0.0218 3.08 33700 0.0307 0.8463 0.8603 0.8532 0.9886
0.0133 3.09 33800 0.0331 0.8456 0.8603 0.8529 0.9883
0.008 3.1 33900 0.0330 0.8406 0.8557 0.8481 0.9879
0.0171 3.11 34000 0.0327 0.8344 0.8520 0.8431 0.9876
0.0196 3.12 34100 0.0346 0.8400 0.8557 0.8478 0.9873
0.0238 3.13 34200 0.0335 0.8438 0.8603 0.8519 0.9879
0.0144 3.14 34300 0.0323 0.8416 0.8580 0.8497 0.9880
0.013 3.15 34400 0.0326 0.8421 0.8573 0.8496 0.9884
0.0114 3.16 34500 0.0335 0.8399 0.8512 0.8455 0.9873
0.0156 3.17 34600 0.0318 0.8455 0.8550 0.8502 0.9880
0.0139 3.17 34700 0.0338 0.8341 0.8497 0.8418 0.9875
0.0165 3.18 34800 0.0326 0.8516 0.8625 0.8570 0.9885
0.0136 3.19 34900 0.0311 0.8468 0.8557 0.8513 0.9885
0.0158 3.2 35000 0.0323 0.8420 0.8527 0.8473 0.9876
0.0141 3.21 35100 0.0340 0.8360 0.8505 0.8432 0.9872
0.0112 3.22 35200 0.0333 0.8363 0.8520 0.8441 0.9872
0.007 3.23 35300 0.0337 0.8296 0.8452 0.8374 0.9868
0.0204 3.24 35400 0.0333 0.8278 0.8415 0.8346 0.9861
0.0097 3.25 35500 0.0348 0.8236 0.8385 0.8310 0.9861
0.0159 3.26 35600 0.0346 0.8271 0.8407 0.8338 0.9862
0.0134 3.27 35700 0.0348 0.8246 0.8407 0.8326 0.9862
0.0112 3.27 35800 0.0341 0.8362 0.8437 0.8399 0.9863
0.0238 3.28 35900 0.0333 0.8361 0.8430 0.8395 0.9867
0.014 3.29 36000 0.0371 0.8248 0.8347 0.8297 0.9858
0.021 3.3 36100 0.0341 0.8351 0.8445 0.8397 0.9870
0.0129 3.31 36200 0.0367 0.8377 0.8452 0.8414 0.9865
0.0228 3.32 36300 0.0349 0.8388 0.8482 0.8435 0.9873
0.0142 3.33 36400 0.0352 0.8295 0.8407 0.8351 0.9863
0.019 3.34 36500 0.0332 0.8423 0.8505 0.8464 0.9871
0.0199 3.35 36600 0.0338 0.8404 0.8467 0.8436 0.9873
0.0125 3.36 36700 0.0335 0.8407 0.8527 0.8467 0.9878
0.0169 3.37 36800 0.0344 0.8448 0.8505 0.8476 0.9872
0.0114 3.38 36900 0.0354 0.8437 0.8557 0.8497 0.9875
0.0149 3.38 37000 0.0350 0.8296 0.8415 0.8355 0.9863
0.013 3.39 37100 0.0334 0.8411 0.8550 0.8480 0.9873
0.0149 3.4 37200 0.0359 0.8380 0.8475 0.8427 0.9861
0.0103 3.41 37300 0.0335 0.8415 0.8497 0.8456 0.9868
0.016 3.42 37400 0.0333 0.8369 0.8520 0.8444 0.9876
0.0221 3.43 37500 0.0333 0.8251 0.8400 0.8325 0.9867
0.0191 3.44 37600 0.0328 0.8363 0.8482 0.8422 0.9871
0.0132 3.45 37700 0.0327 0.8384 0.8497 0.8440 0.9869
0.0154 3.46 37800 0.0335 0.8401 0.8490 0.8445 0.9869
0.0166 3.47 37900 0.0359 0.8382 0.8445 0.8413 0.9866
0.0149 3.48 38000 0.0336 0.8393 0.8595 0.8493 0.9875
0.014 3.49 38100 0.0330 0.8484 0.8580 0.8532 0.9879
0.0176 3.49 38200 0.0344 0.8441 0.8542 0.8491 0.9875
0.013 3.5 38300 0.0334 0.8513 0.8603 0.8558 0.9884
0.0137 3.51 38400 0.0328 0.8497 0.8580 0.8538 0.9882
0.0117 3.52 38500 0.0335 0.8539 0.8648 0.8593 0.9886
0.0161 3.53 38600 0.0324 0.8571 0.8655 0.8613 0.9886
0.0191 3.54 38700 0.0330 0.8483 0.8610 0.8546 0.9884
0.0188 3.55 38800 0.0325 0.8493 0.8595 0.8544 0.9882
0.0174 3.56 38900 0.0319 0.8576 0.8685 0.8630 0.9889
0.0171 3.57 39000 0.0313 0.8494 0.8603 0.8548 0.9885
0.0217 3.58 39100 0.0311 0.8507 0.8603 0.8554 0.9884
0.0166 3.59 39200 0.0317 0.8532 0.8648 0.8590 0.9886
0.0175 3.59 39300 0.0325 0.8490 0.8618 0.8553 0.9884
0.0182 3.6 39400 0.0330 0.8497 0.8580 0.8538 0.9882
0.0138 3.61 39500 0.0322 0.8387 0.8557 0.8472 0.9879
0.0128 3.62 39600 0.0325 0.8490 0.8573 0.8531 0.9879
0.0173 3.63 39700 0.0336 0.8427 0.8573 0.8499 0.9881
0.0154 3.64 39800 0.0342 0.8496 0.8618 0.8557 0.9882
0.0119 3.65 39900 0.0337 0.8448 0.8588 0.8517 0.9877
0.0145 3.66 40000 0.0355 0.8470 0.8565 0.8517 0.9876
0.0101 3.67 40100 0.0339 0.8505 0.8633 0.8568 0.9885
0.0159 3.68 40200 0.0352 0.8531 0.8640 0.8585 0.9881
0.0216 3.69 40300 0.0334 0.8485 0.8625 0.8554 0.9882
0.0108 3.7 40400 0.0325 0.8479 0.8625 0.8551 0.9880
0.0086 3.7 40500 0.0324 0.8467 0.8633 0.8549 0.9882
0.0161 3.71 40600 0.0334 0.8513 0.8603 0.8558 0.9879
0.0224 3.72 40700 0.0325 0.8536 0.8633 0.8584 0.9882
0.0139 3.73 40800 0.0321 0.8536 0.8670 0.8602 0.9884
0.0181 3.74 40900 0.0328 0.8510 0.8625 0.8567 0.9881
0.0161 3.75 41000 0.0326 0.8542 0.8670 0.8606 0.9883
0.0205 3.76 41100 0.0332 0.8504 0.8588 0.8546 0.9881
0.0093 3.77 41200 0.0338 0.8483 0.8610 0.8546 0.9880
0.0197 3.78 41300 0.0334 0.8535 0.8625 0.8580 0.9881
0.0183 3.79 41400 0.0332 0.8503 0.8618 0.8560 0.9881
0.0169 3.8 41500 0.0327 0.8469 0.8603 0.8535 0.9879
0.0141 3.81 41600 0.0344 0.8489 0.8610 0.8549 0.9879
0.0126 3.81 41700 0.0334 0.8483 0.8610 0.8546 0.9882
0.0181 3.82 41800 0.0333 0.8504 0.8625 0.8564 0.9884
0.0155 3.83 41900 0.0344 0.8506 0.8640 0.8572 0.9881
0.0111 3.84 42000 0.0333 0.8526 0.8648 0.8586 0.9881
0.0169 3.85 42100 0.0339 0.8555 0.8633 0.8594 0.9882
0.0133 3.86 42200 0.0345 0.8565 0.8655 0.8610 0.9881
0.0143 3.87 42300 0.0342 0.8545 0.8648 0.8596 0.9884
0.0144 3.88 42400 0.0323 0.8522 0.8663 0.8592 0.9886
0.0123 3.89 42500 0.0329 0.8532 0.8648 0.8590 0.9885
0.0146 3.9 42600 0.0324 0.8514 0.8655 0.8584 0.9888
0.0107 3.91 42700 0.0327 0.8517 0.8670 0.8593 0.9888
0.0165 3.92 42800 0.0328 0.8530 0.8633 0.8581 0.9887
0.0161 3.92 42900 0.0331 0.8470 0.8610 0.8539 0.9886
0.0089 3.93 43000 0.0330 0.8496 0.8618 0.8557 0.9886
0.0139 3.94 43100 0.0329 0.8438 0.8603 0.8519 0.9884
0.0091 3.95 43200 0.0322 0.8562 0.8678 0.8619 0.9888
0.0174 3.96 43300 0.0324 0.8576 0.8685 0.8630 0.9889
0.0142 3.97 43400 0.0324 0.8548 0.8670 0.8609 0.9889
0.0126 3.98 43500 0.0323 0.8541 0.8663 0.8601 0.9887
0.019 3.99 43600 0.0323 0.8541 0.8663 0.8601 0.9887
0.011 4.0 43700 0.0324 0.8534 0.8663 0.8598 0.9888

Framework versions

  • Transformers 4.38.1
  • Pytorch 2.0.1+cu117
  • Datasets 2.16.1
  • Tokenizers 0.15.0
Downloads last month
337
Safetensors
Model size
110M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for boapps/kmdb_ner_model

Finetuned
(1)
this model