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nerui-pt-pl10-2

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metadata
language:
  - id
license: mit
base_model: indolem/indobert-base-uncased
tags:
  - generated_from_trainer
model-index:
  - name: nerui-pt-pl10-2
    results: []

nerui-pt-pl10-2

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: 0.0599
  • Location Precision: 0.9175
  • Location Recall: 0.9570
  • Location F1: 0.9368
  • Location Number: 93
  • Organization Precision: 0.9162
  • Organization Recall: 0.9217
  • Organization F1: 0.9189
  • Organization Number: 166
  • Person Precision: 0.9858
  • Person Recall: 0.9789
  • Person F1: 0.9823
  • Person Number: 142
  • Overall Precision: 0.9407
  • Overall Recall: 0.9501
  • Overall F1: 0.9454
  • Overall Accuracy: 0.9882

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 Overall Precision Overall Recall Overall F1 Overall Accuracy
0.8428 1.0 96 0.3885 0.2353 0.0430 0.0727 93 0.2318 0.3253 0.2707 166 0.2865 0.3451 0.3131 142 0.2542 0.2668 0.2603 0.8697
0.3617 2.0 192 0.2171 0.3037 0.4409 0.3596 93 0.6190 0.5482 0.5815 166 0.4829 0.6972 0.5706 142 0.4743 0.5761 0.5203 0.9317
0.1955 3.0 288 0.1000 0.8193 0.7312 0.7727 93 0.7030 0.8554 0.7717 166 0.9650 0.9718 0.9684 142 0.8131 0.8678 0.8396 0.9682
0.1335 4.0 384 0.0860 0.7573 0.8387 0.7959 93 0.7437 0.8916 0.8110 166 0.9521 0.9789 0.9653 142 0.8147 0.9102 0.8598 0.9715
0.1071 5.0 480 0.0629 0.8190 0.9247 0.8687 93 0.8706 0.8916 0.8810 166 0.9720 0.9789 0.9754 142 0.8923 0.9302 0.9109 0.9813
0.0956 6.0 576 0.0531 0.7946 0.9570 0.8683 93 0.8721 0.9036 0.8876 166 0.9858 0.9789 0.9823 142 0.8894 0.9426 0.9153 0.9830
0.083 7.0 672 0.0504 0.8617 0.8710 0.8663 93 0.8235 0.9277 0.8725 166 0.9858 0.9789 0.9823 142 0.8863 0.9327 0.9089 0.9833
0.0784 8.0 768 0.0515 0.7719 0.9462 0.8502 93 0.8834 0.8675 0.8754 166 0.9858 0.9789 0.9823 142 0.8876 0.9252 0.9060 0.9819
0.072 9.0 864 0.0427 0.8687 0.9247 0.8958 93 0.8982 0.9036 0.9009 166 0.9858 0.9789 0.9823 142 0.9214 0.9352 0.9282 0.9860
0.0688 10.0 960 0.0463 0.8318 0.9570 0.89 93 0.9 0.9217 0.9107 166 0.9650 0.9718 0.9684 142 0.9048 0.9476 0.9257 0.9849
0.0621 11.0 1056 0.0442 0.8585 0.9785 0.9146 93 0.9317 0.9036 0.9174 166 0.9858 0.9789 0.9823 142 0.9314 0.9476 0.9394 0.9860
0.0595 12.0 1152 0.0453 0.9091 0.9677 0.9375 93 0.9379 0.9096 0.9235 166 0.9787 0.9718 0.9753 142 0.9451 0.9451 0.9451 0.9874
0.0576 13.0 1248 0.0455 0.8505 0.9785 0.91 93 0.9383 0.9157 0.9268 166 0.9789 0.9789 0.9789 142 0.9294 0.9526 0.9409 0.9868
0.054 14.0 1344 0.0415 0.9263 0.9462 0.9362 93 0.9268 0.9157 0.9212 166 0.9718 0.9718 0.9718 142 0.9426 0.9426 0.9426 0.9879
0.0491 15.0 1440 0.0367 0.9158 0.9355 0.9255 93 0.9167 0.9277 0.9222 166 0.9858 0.9789 0.9823 142 0.9406 0.9476 0.9441 0.9885
0.0468 16.0 1536 0.0437 0.8725 0.9570 0.9128 93 0.9217 0.9217 0.9217 166 0.9858 0.9789 0.9823 142 0.9315 0.9501 0.9407 0.9866
0.0466 17.0 1632 0.0427 0.8969 0.9355 0.9158 93 0.9006 0.9277 0.9139 166 0.9787 0.9718 0.9753 142 0.9267 0.9451 0.9358 0.9877
0.0442 18.0 1728 0.0398 0.9072 0.9462 0.9263 93 0.9207 0.9096 0.9152 166 0.9787 0.9718 0.9753 142 0.9378 0.9401 0.9390 0.9877
0.0407 19.0 1824 0.0447 0.91 0.9785 0.9430 93 0.9437 0.9096 0.9264 166 0.9787 0.9718 0.9753 142 0.9476 0.9476 0.9476 0.9888
0.0391 20.0 1920 0.0472 0.8491 0.9677 0.9045 93 0.9141 0.8976 0.9058 166 0.9787 0.9718 0.9753 142 0.9195 0.9401 0.9297 0.9857
0.0387 21.0 2016 0.0460 0.8667 0.9785 0.9192 93 0.9114 0.8675 0.8889 166 0.9858 0.9789 0.9823 142 0.9257 0.9327 0.9292 0.9874
0.0343 22.0 2112 0.0412 0.9278 0.9677 0.9474 93 0.9273 0.9217 0.9245 166 0.9858 0.9789 0.9823 142 0.9479 0.9526 0.9502 0.9890
0.0331 23.0 2208 0.0442 0.8969 0.9355 0.9158 93 0.9317 0.9036 0.9174 166 0.9787 0.9718 0.9753 142 0.9398 0.9352 0.9375 0.9879
0.0329 24.0 2304 0.0421 0.9278 0.9677 0.9474 93 0.9281 0.9337 0.9309 166 0.9787 0.9718 0.9753 142 0.9457 0.9551 0.9504 0.9882
0.0336 25.0 2400 0.0476 0.9091 0.9677 0.9375 93 0.95 0.9157 0.9325 166 0.9789 0.9789 0.9789 142 0.9501 0.9501 0.9501 0.9890
0.0313 26.0 2496 0.0408 0.9368 0.9570 0.9468 93 0.9023 0.9458 0.9235 166 0.9858 0.9789 0.9823 142 0.9390 0.9601 0.9494 0.9893
0.0287 27.0 2592 0.0449 0.9278 0.9677 0.9474 93 0.9329 0.9217 0.9273 166 0.9787 0.9718 0.9753 142 0.9478 0.9501 0.9489 0.9898
0.03 28.0 2688 0.0429 0.9072 0.9462 0.9263 93 0.9075 0.9458 0.9263 166 0.9787 0.9718 0.9753 142 0.9319 0.9551 0.9433 0.9888
0.031 29.0 2784 0.0416 0.9462 0.9462 0.9462 93 0.9133 0.9518 0.9322 166 0.9787 0.9718 0.9753 142 0.9435 0.9576 0.9505 0.9898
0.027 30.0 2880 0.0406 0.9565 0.9462 0.9514 93 0.9133 0.9518 0.9322 166 0.9858 0.9789 0.9823 142 0.9483 0.9601 0.9542 0.9909
0.0257 31.0 2976 0.0435 0.9278 0.9677 0.9474 93 0.9202 0.9036 0.9119 166 0.9858 0.9789 0.9823 142 0.9451 0.9451 0.9451 0.9901
0.0277 32.0 3072 0.0484 0.9184 0.9677 0.9424 93 0.9080 0.8916 0.8997 166 0.9787 0.9718 0.9753 142 0.9353 0.9377 0.9365 0.9888
0.024 33.0 3168 0.0450 0.8990 0.9570 0.9271 93 0.9024 0.8916 0.8970 166 0.9858 0.9789 0.9823 142 0.9307 0.9377 0.9342 0.9888
0.0227 34.0 3264 0.0509 0.9278 0.9677 0.9474 93 0.9157 0.9157 0.9157 166 0.9858 0.9789 0.9823 142 0.9431 0.9501 0.9466 0.9885
0.0226 35.0 3360 0.0520 0.9091 0.9677 0.9375 93 0.8902 0.9277 0.9086 166 0.9858 0.9789 0.9823 142 0.9274 0.9551 0.9410 0.9871
0.0239 36.0 3456 0.0613 0.8440 0.9892 0.9109 93 0.9226 0.8614 0.8910 166 0.9718 0.9718 0.9718 142 0.9187 0.9302 0.9244 0.9863
0.0222 37.0 3552 0.0489 0.88 0.9462 0.9119 93 0.8929 0.9036 0.8982 166 0.9858 0.9789 0.9823 142 0.9218 0.9401 0.9309 0.9877
0.0221 38.0 3648 0.0525 0.8762 0.9892 0.9293 93 0.9141 0.8976 0.9058 166 0.9858 0.9789 0.9823 142 0.9291 0.9476 0.9383 0.9868
0.0225 39.0 3744 0.0504 0.8824 0.9677 0.9231 93 0.8976 0.8976 0.8976 166 0.9858 0.9789 0.9823 142 0.9242 0.9426 0.9333 0.9860
0.0194 40.0 3840 0.0470 0.8990 0.9570 0.9271 93 0.9212 0.9157 0.9184 166 0.9787 0.9718 0.9753 142 0.9358 0.9451 0.9404 0.9890
0.0206 41.0 3936 0.0489 0.8969 0.9355 0.9158 93 0.8793 0.9217 0.9 166 0.9858 0.9789 0.9823 142 0.9199 0.9451 0.9323 0.9866
0.0208 42.0 4032 0.0510 0.9 0.9677 0.9326 93 0.9048 0.9157 0.9102 166 0.9787 0.9718 0.9753 142 0.9291 0.9476 0.9383 0.9879
0.0178 43.0 4128 0.0496 0.8911 0.9677 0.9278 93 0.9620 0.9157 0.9383 166 0.9787 0.9718 0.9753 142 0.95 0.9476 0.9488 0.9896
0.0184 44.0 4224 0.0533 0.9010 0.9785 0.9381 93 0.9048 0.9157 0.9102 166 0.9787 0.9718 0.9753 142 0.9293 0.9501 0.9396 0.9882
0.0172 45.0 4320 0.0525 0.9192 0.9785 0.9479 93 0.9444 0.9217 0.9329 166 0.9787 0.9718 0.9753 142 0.9502 0.9526 0.9514 0.9882
0.0159 46.0 4416 0.0524 0.92 0.9892 0.9534 93 0.9207 0.9096 0.9152 166 0.9858 0.9789 0.9823 142 0.9432 0.9526 0.9479 0.9885
0.0174 47.0 4512 0.0516 0.9271 0.9570 0.9418 93 0.8935 0.9096 0.9015 166 0.9787 0.9718 0.9753 142 0.9310 0.9426 0.9368 0.9879
0.0176 48.0 4608 0.0463 0.9271 0.9570 0.9418 93 0.9222 0.9277 0.9249 166 0.9787 0.9718 0.9753 142 0.9431 0.9501 0.9466 0.9904
0.0156 49.0 4704 0.0531 0.9082 0.9570 0.9319 93 0.9321 0.9096 0.9207 166 0.9787 0.9718 0.9753 142 0.9426 0.9426 0.9426 0.9893
0.017 50.0 4800 0.0526 0.9 0.9677 0.9326 93 0.9212 0.9157 0.9184 166 0.9858 0.9789 0.9823 142 0.9384 0.9501 0.9442 0.9879
0.0156 51.0 4896 0.0570 0.8824 0.9677 0.9231 93 0.9375 0.9036 0.9202 166 0.9858 0.9789 0.9823 142 0.9404 0.9451 0.9428 0.9871
0.0152 52.0 4992 0.0518 0.9072 0.9462 0.9263 93 0.9329 0.9217 0.9273 166 0.9787 0.9718 0.9753 142 0.9428 0.9451 0.9440 0.9898
0.017 53.0 5088 0.0487 0.9072 0.9462 0.9263 93 0.9281 0.9337 0.9309 166 0.9858 0.9789 0.9823 142 0.9432 0.9526 0.9479 0.9896
0.0143 54.0 5184 0.0542 0.88 0.9462 0.9119 93 0.9268 0.9157 0.9212 166 0.9787 0.9718 0.9753 142 0.9333 0.9426 0.9380 0.9877
0.0152 55.0 5280 0.0521 0.8990 0.9570 0.9271 93 0.9222 0.9277 0.9249 166 0.9786 0.9648 0.9716 142 0.9360 0.9476 0.9418 0.9888
0.0123 56.0 5376 0.0536 0.9072 0.9462 0.9263 93 0.9329 0.9217 0.9273 166 0.9787 0.9718 0.9753 142 0.9428 0.9451 0.9440 0.9888
0.0145 57.0 5472 0.0507 0.9167 0.9462 0.9312 93 0.9212 0.9157 0.9184 166 0.9787 0.9718 0.9753 142 0.9403 0.9426 0.9415 0.9898
0.0138 58.0 5568 0.0550 0.8980 0.9462 0.9215 93 0.9264 0.9096 0.9179 166 0.9716 0.9648 0.9682 142 0.9353 0.9377 0.9365 0.9893
0.0122 59.0 5664 0.0532 0.9010 0.9785 0.9381 93 0.9379 0.9096 0.9235 166 0.9787 0.9718 0.9753 142 0.9429 0.9476 0.9453 0.9882
0.0144 60.0 5760 0.0572 0.8835 0.9785 0.9286 93 0.9367 0.8916 0.9136 166 0.9718 0.9718 0.9718 142 0.9355 0.9401 0.9378 0.9882
0.0126 61.0 5856 0.0488 0.9474 0.9677 0.9574 93 0.9390 0.9277 0.9333 166 0.9718 0.9718 0.9718 142 0.9526 0.9526 0.9526 0.9907
0.0113 62.0 5952 0.0563 0.8911 0.9677 0.9278 93 0.925 0.8916 0.9080 166 0.9718 0.9718 0.9718 142 0.9330 0.9377 0.9353 0.9888
0.0109 63.0 6048 0.0592 0.8725 0.9570 0.9128 93 0.9062 0.8735 0.8896 166 0.9858 0.9789 0.9823 142 0.9256 0.9302 0.9279 0.9866
0.0124 64.0 6144 0.0568 0.9255 0.9355 0.9305 93 0.9085 0.8976 0.9030 166 0.9718 0.9718 0.9718 142 0.935 0.9327 0.9338 0.9877
0.0126 65.0 6240 0.0559 0.8990 0.9570 0.9271 93 0.9068 0.8795 0.8930 166 0.9858 0.9789 0.9823 142 0.9327 0.9327 0.9327 0.9877
0.0112 66.0 6336 0.0573 0.9263 0.9462 0.9362 93 0.9152 0.9096 0.9124 166 0.9787 0.9718 0.9753 142 0.9401 0.9401 0.9401 0.9885
0.0112 67.0 6432 0.0617 0.8558 0.9570 0.9036 93 0.8902 0.8795 0.8848 166 0.9858 0.9789 0.9823 142 0.9144 0.9327 0.9235 0.9863
0.0117 68.0 6528 0.0534 0.9082 0.9570 0.9319 93 0.9259 0.9036 0.9146 166 0.9858 0.9789 0.9823 142 0.9426 0.9426 0.9426 0.9885
0.0101 69.0 6624 0.0571 0.9271 0.9570 0.9418 93 0.9157 0.9157 0.9157 166 0.9858 0.9789 0.9823 142 0.9429 0.9476 0.9453 0.9890
0.0092 70.0 6720 0.0559 0.9091 0.9677 0.9375 93 0.9325 0.9157 0.9240 166 0.9858 0.9789 0.9823 142 0.9454 0.9501 0.9478 0.9893
0.011 71.0 6816 0.0611 0.9368 0.9570 0.9468 93 0.9329 0.9217 0.9273 166 0.9858 0.9789 0.9823 142 0.9525 0.9501 0.9513 0.9879
0.0097 72.0 6912 0.0558 0.9167 0.9462 0.9312 93 0.9383 0.9157 0.9268 166 0.9858 0.9789 0.9823 142 0.9499 0.9451 0.9475 0.9893
0.0102 73.0 7008 0.0560 0.8980 0.9462 0.9215 93 0.9321 0.9096 0.9207 166 0.9858 0.9789 0.9823 142 0.9426 0.9426 0.9426 0.9879
0.0098 74.0 7104 0.0587 0.9184 0.9677 0.9424 93 0.9212 0.9157 0.9184 166 0.9858 0.9789 0.9823 142 0.9431 0.9501 0.9466 0.9882
0.0105 75.0 7200 0.0585 0.8812 0.9570 0.9175 93 0.9141 0.8976 0.9058 166 0.9858 0.9789 0.9823 142 0.9309 0.9401 0.9355 0.9874
0.01 76.0 7296 0.0599 0.9368 0.9570 0.9468 93 0.9273 0.9217 0.9245 166 0.9858 0.9789 0.9823 142 0.9501 0.9501 0.9501 0.9893
0.0084 77.0 7392 0.0602 0.9091 0.9677 0.9375 93 0.9212 0.9157 0.9184 166 0.9858 0.9789 0.9823 142 0.9407 0.9501 0.9454 0.9893
0.0089 78.0 7488 0.0632 0.89 0.9570 0.9223 93 0.9207 0.9096 0.9152 166 0.9858 0.9789 0.9823 142 0.9358 0.9451 0.9404 0.9879
0.0086 79.0 7584 0.0588 0.9072 0.9462 0.9263 93 0.9379 0.9096 0.9235 166 0.9858 0.9789 0.9823 142 0.9474 0.9426 0.9450 0.9885
0.009 80.0 7680 0.0618 0.9175 0.9570 0.9368 93 0.9273 0.9217 0.9245 166 0.9858 0.9789 0.9823 142 0.9454 0.9501 0.9478 0.9885
0.0084 81.0 7776 0.0612 0.9175 0.9570 0.9368 93 0.9152 0.9096 0.9124 166 0.9858 0.9789 0.9823 142 0.9404 0.9451 0.9428 0.9882
0.0089 82.0 7872 0.0595 0.9082 0.9570 0.9319 93 0.9207 0.9096 0.9152 166 0.9858 0.9789 0.9823 142 0.9404 0.9451 0.9428 0.9890
0.0089 83.0 7968 0.0586 0.9368 0.9570 0.9468 93 0.9222 0.9277 0.9249 166 0.9858 0.9789 0.9823 142 0.9479 0.9526 0.9502 0.9890
0.0084 84.0 8064 0.0567 0.9468 0.9570 0.9519 93 0.9273 0.9217 0.9245 166 0.9858 0.9789 0.9823 142 0.9525 0.9501 0.9513 0.9909
0.0088 85.0 8160 0.0617 0.9082 0.9570 0.9319 93 0.9212 0.9157 0.9184 166 0.9858 0.9789 0.9823 142 0.9406 0.9476 0.9441 0.9890
0.0089 86.0 8256 0.0582 0.9263 0.9462 0.9362 93 0.9268 0.9157 0.9212 166 0.9858 0.9789 0.9823 142 0.9475 0.9451 0.9463 0.9896
0.0066 87.0 8352 0.0611 0.9368 0.9570 0.9468 93 0.9277 0.9277 0.9277 166 0.9858 0.9789 0.9823 142 0.9502 0.9526 0.9514 0.9893
0.0088 88.0 8448 0.0586 0.9175 0.9570 0.9368 93 0.9441 0.9157 0.9297 166 0.9858 0.9789 0.9823 142 0.9524 0.9476 0.95 0.9893
0.007 89.0 8544 0.0602 0.9271 0.9570 0.9418 93 0.9207 0.9096 0.9152 166 0.9858 0.9789 0.9823 142 0.9451 0.9451 0.9451 0.9893
0.0083 90.0 8640 0.0580 0.9468 0.9570 0.9519 93 0.9333 0.9277 0.9305 166 0.9858 0.9789 0.9823 142 0.955 0.9526 0.9538 0.9901
0.0077 91.0 8736 0.0591 0.9368 0.9570 0.9468 93 0.9107 0.9217 0.9162 166 0.9858 0.9789 0.9823 142 0.9431 0.9501 0.9466 0.9890
0.0078 92.0 8832 0.0608 0.9271 0.9570 0.9418 93 0.9162 0.9217 0.9189 166 0.9858 0.9789 0.9823 142 0.9431 0.9501 0.9466 0.9879
0.0068 93.0 8928 0.0581 0.9468 0.9570 0.9519 93 0.9048 0.9157 0.9102 166 0.9858 0.9789 0.9823 142 0.9429 0.9476 0.9453 0.9890
0.0079 94.0 9024 0.0606 0.9368 0.9570 0.9468 93 0.9107 0.9217 0.9162 166 0.9858 0.9789 0.9823 142 0.9431 0.9501 0.9466 0.9885
0.0072 95.0 9120 0.0600 0.9271 0.9570 0.9418 93 0.9162 0.9217 0.9189 166 0.9858 0.9789 0.9823 142 0.9431 0.9501 0.9466 0.9896
0.007 96.0 9216 0.0599 0.9175 0.9570 0.9368 93 0.9107 0.9217 0.9162 166 0.9858 0.9789 0.9823 142 0.9384 0.9501 0.9442 0.9885
0.0082 97.0 9312 0.0601 0.9175 0.9570 0.9368 93 0.9217 0.9217 0.9217 166 0.9858 0.9789 0.9823 142 0.9431 0.9501 0.9466 0.9885
0.0065 98.0 9408 0.0606 0.9175 0.9570 0.9368 93 0.9217 0.9217 0.9217 166 0.9858 0.9789 0.9823 142 0.9431 0.9501 0.9466 0.9885
0.0075 99.0 9504 0.0600 0.9175 0.9570 0.9368 93 0.9162 0.9217 0.9189 166 0.9858 0.9789 0.9823 142 0.9407 0.9501 0.9454 0.9882
0.0057 100.0 9600 0.0599 0.9175 0.9570 0.9368 93 0.9162 0.9217 0.9189 166 0.9858 0.9789 0.9823 142 0.9407 0.9501 0.9454 0.9882

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.15.2