Model save
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README.md
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---
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language:
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- id
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license: mit
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base_model: indolem/indobert-base-uncased
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tags:
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This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Location Precision: 0.
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- Location Recall: 0.
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- Location F1: 0.
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- Location Number: 103
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- Organization Precision: 0.
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- Organization Recall: 0.8947
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- Organization F1: 0.
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- Organization Number: 171
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- Person Precision: 0.
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- Person Recall: 0.
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- Person F1: 0.
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- Person Number: 131
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- Overall Precision: 0.
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- Overall Recall: 0.
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- Overall F1: 0.
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- Overall Accuracy: 0.
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| 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 |
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|:-------------:|:-----:|:----:|:---------------:|:------------------:|:---------------:|:-----------:|:---------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:----------------:|:-------------:|:---------:|:-------------:|:-----------------:|:--------------:|:----------:|:----------------:|
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| 0.0079 | 6.0 | 576 | 0.0482 | 0.9320 | 0.9320 | 0.9320 | 103 | 0.9515 | 0.9181 | 0.9345 | 171 | 0.9845 | 0.9695 | 0.9769 | 131 | 0.9572 | 0.9383 | 0.9476 | 0.9909 |
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| 0.0062 | 7.0 | 672 | 0.0521 | 0.9 | 0.9612 | 0.9296 | 103 | 0.9181 | 0.9181 | 0.9181 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9319 | 0.9457 | 0.9387 | 0.9898 |
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| 0.0044 | 8.0 | 768 | 0.0672 | 0.9252 | 0.9612 | 0.9429 | 103 | 0.9467 | 0.9357 | 0.9412 | 171 | 0.9692 | 0.9618 | 0.9655 | 131 | 0.9483 | 0.9506 | 0.9494 | 0.9901 |
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| 0.0065 | 9.0 | 864 | 0.0645 | 0.9143 | 0.9320 | 0.9231 | 103 | 0.9086 | 0.9298 | 0.9191 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9294 | 0.9432 | 0.9363 | 0.9895 |
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| 0.006 | 10.0 | 960 | 0.0670 | 0.8909 | 0.9515 | 0.9202 | 103 | 0.9639 | 0.9357 | 0.9496 | 171 | 0.9766 | 0.9542 | 0.9653 | 131 | 0.9480 | 0.9457 | 0.9468 | 0.9895 |
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| 0.0032 | 11.0 | 1056 | 0.0579 | 0.9352 | 0.9806 | 0.9573 | 103 | 0.9360 | 0.9415 | 0.9388 | 171 | 0.9844 | 0.9618 | 0.9730 | 131 | 0.9510 | 0.9580 | 0.9545 | 0.9917 |
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| 0.0037 | 12.0 | 1152 | 0.0651 | 0.9107 | 0.9903 | 0.9488 | 103 | 0.9521 | 0.9298 | 0.9408 | 171 | 0.9843 | 0.9542 | 0.9690 | 131 | 0.9507 | 0.9531 | 0.9519 | 0.9909 |
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| 0.0028 | 13.0 | 1248 | 0.0726 | 0.9346 | 0.9709 | 0.9524 | 103 | 0.9029 | 0.9240 | 0.9133 | 171 | 0.984 | 0.9389 | 0.9609 | 131 | 0.9361 | 0.9407 | 0.9384 | 0.9881 |
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| 0.0031 | 14.0 | 1344 | 0.0708 | 0.9273 | 0.9903 | 0.9577 | 103 | 0.9625 | 0.9006 | 0.9305 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9551 | 0.9457 | 0.9504 | 0.9890 |
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| 0.0027 | 15.0 | 1440 | 0.0854 | 0.9018 | 0.9806 | 0.9395 | 103 | 0.8908 | 0.9064 | 0.8986 | 171 | 0.9552 | 0.9771 | 0.9660 | 131 | 0.9143 | 0.9481 | 0.9309 | 0.9856 |
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| 0.0021 | 16.0 | 1536 | 0.0908 | 0.9273 | 0.9903 | 0.9577 | 103 | 0.9568 | 0.9064 | 0.9309 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9553 | 0.9506 | 0.9530 | 0.9895 |
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| 0.0031 | 17.0 | 1632 | 0.0497 | 0.9510 | 0.9417 | 0.9463 | 103 | 0.9310 | 0.9474 | 0.9391 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9509 | 0.9556 | 0.9532 | 0.9920 |
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| 0.004 | 18.0 | 1728 | 0.0646 | 0.9273 | 0.9903 | 0.9577 | 103 | 0.9286 | 0.9123 | 0.9204 | 171 | 0.9846 | 0.9771 | 0.9808 | 131 | 0.9461 | 0.9531 | 0.9496 | 0.9906 |
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| 0.0047 | 19.0 | 1824 | 0.0662 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9212 | 0.8889 | 0.9048 | 171 | 0.9764 | 0.9466 | 0.9612 | 131 | 0.9421 | 0.9235 | 0.9327 | 0.9870 |
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| 0.0041 | 20.0 | 1920 | 0.0725 | 0.9189 | 0.9903 | 0.9533 | 103 | 0.9695 | 0.9298 | 0.9493 | 171 | 0.9690 | 0.9542 | 0.9615 | 131 | 0.9554 | 0.9531 | 0.9543 | 0.9914 |
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| 0.0041 | 21.0 | 2016 | 0.0721 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9286 | 0.9123 | 0.9204 | 171 | 0.9545 | 0.9618 | 0.9582 | 131 | 0.9360 | 0.9383 | 0.9371 | 0.9890 |
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| 0.0039 | 22.0 | 2112 | 0.0651 | 0.9327 | 0.9417 | 0.9372 | 103 | 0.9249 | 0.9357 | 0.9302 | 171 | 0.9612 | 0.9466 | 0.9538 | 131 | 0.9384 | 0.9407 | 0.9396 | 0.9892 |
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| 0.0015 | 23.0 | 2208 | 0.0774 | 0.9182 | 0.9806 | 0.9484 | 103 | 0.9753 | 0.9240 | 0.9489 | 171 | 0.9846 | 0.9771 | 0.9808 | 131 | 0.9627 | 0.9556 | 0.9591 | 0.9912 |
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| 0.0017 | 24.0 | 2304 | 0.0729 | 0.8772 | 0.9709 | 0.9217 | 103 | 0.9286 | 0.9123 | 0.9204 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9251 | 0.9457 | 0.9353 | 0.9873 |
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| 0.0022 | 25.0 | 2400 | 0.0696 | 0.9252 | 0.9612 | 0.9429 | 103 | 0.9298 | 0.9298 | 0.9298 | 171 | 0.9767 | 0.9618 | 0.9692 | 131 | 0.9435 | 0.9481 | 0.9458 | 0.9898 |
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| 0.0031 | 26.0 | 2496 | 0.0829 | 0.8696 | 0.9709 | 0.9174 | 103 | 0.9551 | 0.8713 | 0.9113 | 171 | 0.9624 | 0.9771 | 0.9697 | 131 | 0.9332 | 0.9309 | 0.9320 | 0.9884 |
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| 0.0027 | 27.0 | 2592 | 0.0718 | 0.9259 | 0.9709 | 0.9479 | 103 | 0.9686 | 0.9006 | 0.9333 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9597 | 0.9407 | 0.9501 | 0.9895 |
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| 0.0019 | 28.0 | 2688 | 0.0620 | 0.9346 | 0.9709 | 0.9524 | 103 | 0.9817 | 0.9415 | 0.9612 | 171 | 0.9846 | 0.9771 | 0.9808 | 131 | 0.9701 | 0.9605 | 0.9653 | 0.9931 |
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| 0.0017 | 29.0 | 2784 | 0.0621 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9527 | 0.9415 | 0.9471 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9484 | 0.9531 | 0.9507 | 0.9912 |
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| 0.0013 | 30.0 | 2880 | 0.0699 | 0.9159 | 0.9515 | 0.9333 | 103 | 0.9524 | 0.9357 | 0.9440 | 171 | 0.9690 | 0.9542 | 0.9615 | 131 | 0.9480 | 0.9457 | 0.9468 | 0.9901 |
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| 0.001 | 31.0 | 2976 | 0.0722 | 0.9495 | 0.9126 | 0.9307 | 103 | 0.9458 | 0.9181 | 0.9318 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9570 | 0.9333 | 0.9450 | 0.9898 |
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| 0.0017 | 32.0 | 3072 | 0.0764 | 0.9252 | 0.9612 | 0.9429 | 103 | 0.9415 | 0.9415 | 0.9415 | 171 | 0.9618 | 0.9618 | 0.9618 | 131 | 0.9438 | 0.9531 | 0.9484 | 0.9898 |
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| 0.0024 | 33.0 | 3168 | 0.0697 | 0.9429 | 0.9612 | 0.9519 | 103 | 0.9412 | 0.9357 | 0.9384 | 171 | 0.9692 | 0.9618 | 0.9655 | 131 | 0.9506 | 0.9506 | 0.9506 | 0.9912 |
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| 0.0014 | 34.0 | 3264 | 0.0854 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9512 | 0.9123 | 0.9313 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9549 | 0.9407 | 0.9478 | 0.9895 |
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| 0.0036 | 35.0 | 3360 | 0.0754 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9040 | 0.9357 | 0.9195 | 171 | 0.9690 | 0.9542 | 0.9615 | 131 | 0.9319 | 0.9457 | 0.9387 | 0.9892 |
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| 0.0018 | 36.0 | 3456 | 0.0614 | 0.9327 | 0.9417 | 0.9372 | 103 | 0.9302 | 0.9357 | 0.9329 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9412 | 0.9481 | 0.9446 | 0.9906 |
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| 0.0017 | 37.0 | 3552 | 0.0806 | 0.9259 | 0.9709 | 0.9479 | 103 | 0.9573 | 0.9181 | 0.9373 | 171 | 0.9466 | 0.9466 | 0.9466 | 131 | 0.9454 | 0.9407 | 0.9431 | 0.9895 |
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| 0.0023 | 38.0 | 3648 | 0.0709 | 0.9252 | 0.9612 | 0.9429 | 103 | 0.9408 | 0.9298 | 0.9353 | 171 | 0.9615 | 0.9542 | 0.9579 | 131 | 0.9433 | 0.9457 | 0.9445 | 0.9895 |
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| 0.0012 | 39.0 | 3744 | 0.0715 | 0.9327 | 0.9417 | 0.9372 | 103 | 0.9302 | 0.9357 | 0.9329 | 171 | 0.9545 | 0.9618 | 0.9582 | 131 | 0.9387 | 0.9457 | 0.9422 | 0.9901 |
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| 0.0018 | 40.0 | 3840 | 0.0718 | 0.9182 | 0.9806 | 0.9484 | 103 | 0.9693 | 0.9240 | 0.9461 | 171 | 0.9692 | 0.9618 | 0.9655 | 131 | 0.9553 | 0.9506 | 0.9530 | 0.9912 |
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| 0.0033 | 41.0 | 3936 | 0.1061 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9375 | 0.8772 | 0.9063 | 171 | 0.9545 | 0.9618 | 0.9582 | 131 | 0.9421 | 0.9235 | 0.9327 | 0.9856 |
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| 0.0023 | 42.0 | 4032 | 0.0780 | 0.9159 | 0.9515 | 0.9333 | 103 | 0.9405 | 0.9240 | 0.9322 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9433 | 0.9457 | 0.9445 | 0.9906 |
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| 0.0014 | 43.0 | 4128 | 0.0983 | 0.9394 | 0.9029 | 0.9208 | 103 | 0.9390 | 0.9006 | 0.9194 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9468 | 0.9235 | 0.935 | 0.9876 |
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| 0.0019 | 44.0 | 4224 | 0.0845 | 0.9320 | 0.9320 | 0.9320 | 103 | 0.9176 | 0.9123 | 0.9150 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9358 | 0.9358 | 0.9358 | 0.9873 |
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| 0.0021 | 45.0 | 4320 | 0.0839 | 0.9143 | 0.9320 | 0.9231 | 103 | 0.9186 | 0.9240 | 0.9213 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9315 | 0.9407 | 0.9361 | 0.9887 |
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| 0.0016 | 46.0 | 4416 | 0.0836 | 0.9259 | 0.9709 | 0.9479 | 103 | 0.9515 | 0.9181 | 0.9345 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9481 | 0.9481 | 0.9481 | 0.9901 |
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| 0.0007 | 47.0 | 4512 | 0.0775 | 0.9439 | 0.9806 | 0.9619 | 103 | 0.9634 | 0.9240 | 0.9433 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9578 | 0.9531 | 0.9554 | 0.9912 |
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| 0.0002 | 48.0 | 4608 | 0.0818 | 0.9352 | 0.9806 | 0.9573 | 103 | 0.9693 | 0.9240 | 0.9461 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9578 | 0.9531 | 0.9554 | 0.9912 |
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| 0.0008 | 49.0 | 4704 | 0.0757 | 0.9524 | 0.9709 | 0.9615 | 103 | 0.9581 | 0.9357 | 0.9467 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9603 | 0.9556 | 0.9579 | 0.9917 |
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| 0.0014 | 50.0 | 4800 | 0.0807 | 0.8991 | 0.9515 | 0.9245 | 103 | 0.9387 | 0.8947 | 0.9162 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9380 | 0.9333 | 0.9356 | 0.9887 |
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| 0.0014 | 51.0 | 4896 | 0.0917 | 0.8981 | 0.9417 | 0.9194 | 103 | 0.9494 | 0.8772 | 0.9119 | 171 | 0.9690 | 0.9542 | 0.9615 | 131 | 0.9418 | 0.9185 | 0.9300 | 0.9881 |
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| 0.002 | 52.0 | 4992 | 0.0784 | 0.9596 | 0.9223 | 0.9406 | 103 | 0.8983 | 0.9298 | 0.9138 | 171 | 0.9545 | 0.9618 | 0.9582 | 131 | 0.9314 | 0.9383 | 0.9348 | 0.9884 |
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| 0.001 | 53.0 | 5088 | 0.0928 | 0.9346 | 0.9709 | 0.9524 | 103 | 0.9448 | 0.9006 | 0.9222 | 171 | 0.9542 | 0.9542 | 0.9542 | 131 | 0.9451 | 0.9358 | 0.9404 | 0.9890 |
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| 0.002 | 54.0 | 5184 | 0.0927 | 0.9259 | 0.9709 | 0.9479 | 103 | 0.9563 | 0.8947 | 0.9245 | 171 | 0.9470 | 0.9542 | 0.9506 | 131 | 0.945 | 0.9333 | 0.9391 | 0.9890 |
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| 0.0011 | 55.0 | 5280 | 0.1092 | 0.9340 | 0.9612 | 0.9474 | 103 | 0.9620 | 0.8889 | 0.9240 | 171 | 0.9692 | 0.9618 | 0.9655 | 131 | 0.9569 | 0.9309 | 0.9437 | 0.9881 |
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| 0.0008 | 56.0 | 5376 | 0.1159 | 0.96 | 0.9320 | 0.9458 | 103 | 0.9387 | 0.8947 | 0.9162 | 171 | 0.9618 | 0.9618 | 0.9618 | 131 | 0.9518 | 0.9259 | 0.9387 | 0.9870 |
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| 0.0011 | 57.0 | 5472 | 0.0908 | 0.9604 | 0.9417 | 0.9510 | 103 | 0.9240 | 0.9240 | 0.9240 | 171 | 0.9690 | 0.9542 | 0.9615 | 131 | 0.9476 | 0.9383 | 0.9429 | 0.9884 |
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| 0.0017 | 58.0 | 5568 | 0.0964 | 0.9417 | 0.9417 | 0.9417 | 103 | 0.9401 | 0.9181 | 0.9290 | 171 | 0.9767 | 0.9618 | 0.9692 | 131 | 0.9524 | 0.9383 | 0.9453 | 0.9892 |
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| 0.0002 | 59.0 | 5664 | 0.0956 | 0.9417 | 0.9417 | 0.9417 | 103 | 0.9401 | 0.9181 | 0.9290 | 171 | 0.9845 | 0.9695 | 0.9769 | 131 | 0.9549 | 0.9407 | 0.9478 | 0.9895 |
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| 0.0002 | 60.0 | 5760 | 0.0991 | 0.9519 | 0.9612 | 0.9565 | 103 | 0.9286 | 0.9123 | 0.9204 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9455 | 0.9432 | 0.9444 | 0.9887 |
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| 0.0009 | 61.0 | 5856 | 0.0854 | 0.9612 | 0.9612 | 0.9612 | 103 | 0.9632 | 0.9181 | 0.9401 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9647 | 0.9457 | 0.9551 | 0.9909 |
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| 0.0011 | 62.0 | 5952 | 0.0991 | 0.9588 | 0.9029 | 0.9300 | 103 | 0.9123 | 0.9123 | 0.9123 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9424 | 0.9284 | 0.9353 | 0.9878 |
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| 0.0006 | 63.0 | 6048 | 0.1002 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9497 | 0.8830 | 0.9152 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9495 | 0.9284 | 0.9388 | 0.9876 |
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| 0.0002 | 64.0 | 6144 | 0.1063 | 0.9327 | 0.9417 | 0.9372 | 103 | 0.9623 | 0.8947 | 0.9273 | 171 | 0.9767 | 0.9618 | 0.9692 | 131 | 0.9592 | 0.9284 | 0.9435 | 0.9887 |
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| 0.0004 | 65.0 | 6240 | 0.0937 | 0.9320 | 0.9320 | 0.9320 | 103 | 0.9451 | 0.9064 | 0.9254 | 171 | 0.9767 | 0.9618 | 0.9692 | 131 | 0.9520 | 0.9309 | 0.9413 | 0.9890 |
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| 0.0005 | 66.0 | 6336 | 0.0993 | 0.9412 | 0.9320 | 0.9366 | 103 | 0.9506 | 0.9006 | 0.9249 | 171 | 0.9545 | 0.9618 | 0.9582 | 131 | 0.9495 | 0.9284 | 0.9388 | 0.9884 |
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| 0.0002 | 67.0 | 6432 | 0.1064 | 0.9417 | 0.9417 | 0.9417 | 103 | 0.9437 | 0.8830 | 0.9124 | 171 | 0.9338 | 0.9695 | 0.9513 | 131 | 0.9398 | 0.9259 | 0.9328 | 0.9870 |
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| 0.0002 | 68.0 | 6528 | 0.1114 | 0.9417 | 0.9417 | 0.9417 | 103 | 0.9317 | 0.8772 | 0.9036 | 171 | 0.9338 | 0.9695 | 0.9513 | 131 | 0.935 | 0.9235 | 0.9292 | 0.9862 |
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| 0.0003 | 69.0 | 6624 | 0.1185 | 0.9423 | 0.9515 | 0.9469 | 103 | 0.9317 | 0.8772 | 0.9036 | 171 | 0.9338 | 0.9695 | 0.9513 | 131 | 0.9352 | 0.9259 | 0.9305 | 0.9859 |
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| 0.0011 | 70.0 | 6720 | 0.1030 | 0.9074 | 0.9515 | 0.9289 | 103 | 0.9503 | 0.8947 | 0.9217 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9426 | 0.9333 | 0.9380 | 0.9881 |
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| 0.0004 | 71.0 | 6816 | 0.1110 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9620 | 0.8889 | 0.9240 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9569 | 0.9309 | 0.9437 | 0.9884 |
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| 0.0004 | 72.0 | 6912 | 0.1025 | 0.9259 | 0.9709 | 0.9479 | 103 | 0.9560 | 0.8889 | 0.9212 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9547 | 0.9358 | 0.9451 | 0.9890 |
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| 0.0003 | 73.0 | 7008 | 0.1100 | 0.9346 | 0.9709 | 0.9524 | 103 | 0.9747 | 0.9006 | 0.9362 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9646 | 0.9407 | 0.9525 | 0.9898 |
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| 0.0009 | 74.0 | 7104 | 0.1089 | 0.9340 | 0.9612 | 0.9474 | 103 | 0.9684 | 0.8947 | 0.9301 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9619 | 0.9358 | 0.9487 | 0.9895 |
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| 0.0002 | 75.0 | 7200 | 0.1038 | 0.9252 | 0.9612 | 0.9429 | 103 | 0.9503 | 0.8947 | 0.9217 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9523 | 0.9358 | 0.9440 | 0.9890 |
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| 0.0002 | 76.0 | 7296 | 0.1102 | 0.9340 | 0.9612 | 0.9474 | 103 | 0.9560 | 0.8889 | 0.9212 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9521 | 0.9333 | 0.9426 | 0.9881 |
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| 0.0006 | 77.0 | 7392 | 0.1008 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9625 | 0.9006 | 0.9305 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9595 | 0.9358 | 0.9475 | 0.9895 |
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| 0.0002 | 78.0 | 7488 | 0.0972 | 0.9406 | 0.9223 | 0.9314 | 103 | 0.9451 | 0.9064 | 0.9254 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9544 | 0.9309 | 0.9425 | 0.9892 |
|
145 |
-
| 0.0003 | 79.0 | 7584 | 0.0976 | 0.9412 | 0.9320 | 0.9366 | 103 | 0.9448 | 0.9006 | 0.9222 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9544 | 0.9309 | 0.9425 | 0.9892 |
|
146 |
-
| 0.0002 | 80.0 | 7680 | 0.0978 | 0.9412 | 0.9320 | 0.9366 | 103 | 0.9451 | 0.9064 | 0.9254 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9545 | 0.9333 | 0.9438 | 0.9895 |
|
147 |
-
| 0.0002 | 81.0 | 7776 | 0.0977 | 0.9423 | 0.9515 | 0.9469 | 103 | 0.9509 | 0.9064 | 0.9281 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9572 | 0.9383 | 0.9476 | 0.9901 |
|
148 |
-
| 0.0005 | 82.0 | 7872 | 0.1046 | 0.9252 | 0.9612 | 0.9429 | 103 | 0.95 | 0.8889 | 0.9184 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9497 | 0.9333 | 0.9415 | 0.9890 |
|
149 |
-
| 0.0002 | 83.0 | 7968 | 0.1051 | 0.9252 | 0.9612 | 0.9429 | 103 | 0.95 | 0.8889 | 0.9184 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9474 | 0.9333 | 0.9403 | 0.9887 |
|
150 |
-
| 0.0001 | 84.0 | 8064 | 0.1055 | 0.9252 | 0.9612 | 0.9429 | 103 | 0.9563 | 0.8947 | 0.9245 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9523 | 0.9358 | 0.9440 | 0.9890 |
|
151 |
-
| 0.0002 | 85.0 | 8160 | 0.1088 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9563 | 0.8947 | 0.9245 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9545 | 0.9333 | 0.9438 | 0.9887 |
|
152 |
-
| 0.0002 | 86.0 | 8256 | 0.1082 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9441 | 0.8889 | 0.9157 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9449 | 0.9309 | 0.9378 | 0.9884 |
|
153 |
-
| 0.0001 | 87.0 | 8352 | 0.1101 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.95 | 0.8889 | 0.9184 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9472 | 0.9309 | 0.9390 | 0.9881 |
|
154 |
-
| 0.0001 | 88.0 | 8448 | 0.1107 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.95 | 0.8889 | 0.9184 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9472 | 0.9309 | 0.9390 | 0.9881 |
|
155 |
-
| 0.0001 | 89.0 | 8544 | 0.1099 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.95 | 0.8889 | 0.9184 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9472 | 0.9309 | 0.9390 | 0.9881 |
|
156 |
-
| 0.0002 | 90.0 | 8640 | 0.1099 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.95 | 0.8889 | 0.9184 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9496 | 0.9309 | 0.9401 | 0.9884 |
|
157 |
-
| 0.0002 | 91.0 | 8736 | 0.1054 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9441 | 0.8889 | 0.9157 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9449 | 0.9309 | 0.9378 | 0.9884 |
|
158 |
-
| 0.0001 | 92.0 | 8832 | 0.1040 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9441 | 0.8889 | 0.9157 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9449 | 0.9309 | 0.9378 | 0.9887 |
|
159 |
-
| 0.0002 | 93.0 | 8928 | 0.1041 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9503 | 0.8947 | 0.9217 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9497 | 0.9333 | 0.9415 | 0.9892 |
|
160 |
-
| 0.0002 | 94.0 | 9024 | 0.1015 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9333 | 0.9006 | 0.9167 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9381 | 0.9358 | 0.9370 | 0.9887 |
|
161 |
-
| 0.0008 | 95.0 | 9120 | 0.1013 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9448 | 0.9006 | 0.9222 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9428 | 0.9358 | 0.9393 | 0.9887 |
|
162 |
-
| 0.0005 | 96.0 | 9216 | 0.1003 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9503 | 0.8947 | 0.9217 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9545 | 0.9333 | 0.9438 | 0.9898 |
|
163 |
-
| 0.0001 | 97.0 | 9312 | 0.1012 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9503 | 0.8947 | 0.9217 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9545 | 0.9333 | 0.9438 | 0.9895 |
|
164 |
-
| 0.0007 | 98.0 | 9408 | 0.1047 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9503 | 0.8947 | 0.9217 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9545 | 0.9333 | 0.9438 | 0.9895 |
|
165 |
-
| 0.0001 | 99.0 | 9504 | 0.1056 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9563 | 0.8947 | 0.9245 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9570 | 0.9333 | 0.9450 | 0.9892 |
|
166 |
-
| 0.0002 | 100.0 | 9600 | 0.1058 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9563 | 0.8947 | 0.9245 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9570 | 0.9333 | 0.9450 | 0.9892 |
|
167 |
|
168 |
|
169 |
### Framework versions
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1 |
---
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license: mit
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base_model: indolem/indobert-base-uncased
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tags:
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This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.0408
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+
- Location Precision: 0.9057
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+
- Location Recall: 0.9320
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- Location F1: 0.9187
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- Location Number: 103
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- Organization Precision: 0.9217
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- Organization Recall: 0.8947
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- Organization F1: 0.9080
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- Organization Number: 171
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- Person Precision: 0.9846
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- Person Recall: 0.9771
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- Person F1: 0.9808
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- Person Number: 131
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- Overall Precision: 0.9378
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- Overall Recall: 0.9309
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- Overall F1: 0.9343
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- Overall Accuracy: 0.9884
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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+
- num_epochs: 5.0
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### Training results
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| 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 |
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|:-------------:|:-----:|:----:|:---------------:|:------------------:|:---------------:|:-----------:|:---------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:----------------:|:-------------:|:---------:|:-------------:|:-----------------:|:--------------:|:----------:|:----------------:|
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| 0.2817 | 1.0 | 96 | 0.0679 | 0.7405 | 0.9417 | 0.8291 | 103 | 0.8882 | 0.7895 | 0.8359 | 171 | 0.9265 | 0.9618 | 0.9438 | 131 | 0.8544 | 0.8840 | 0.8689 | 0.9765 |
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| 0.0593 | 2.0 | 192 | 0.0464 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.8889 | 0.9357 | 0.9117 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9189 | 0.9506 | 0.9345 | 0.9867 |
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| 0.0298 | 3.0 | 288 | 0.0400 | 0.9167 | 0.9612 | 0.9384 | 103 | 0.9398 | 0.9123 | 0.9258 | 171 | 0.9403 | 0.9618 | 0.9509 | 131 | 0.9338 | 0.9407 | 0.9373 | 0.9898 |
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+
| 0.0164 | 4.0 | 384 | 0.0382 | 0.95 | 0.9223 | 0.9360 | 103 | 0.9253 | 0.9415 | 0.9333 | 171 | 0.9846 | 0.9771 | 0.9808 | 131 | 0.9505 | 0.9481 | 0.9493 | 0.9909 |
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+
| 0.0102 | 5.0 | 480 | 0.0408 | 0.9057 | 0.9320 | 0.9187 | 103 | 0.9217 | 0.8947 | 0.9080 | 171 | 0.9846 | 0.9771 | 0.9808 | 131 | 0.9378 | 0.9309 | 0.9343 | 0.9884 |
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### Framework versions
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