File size: 36,366 Bytes
40c4276 264a7bd 40c4276 b5fe6d2 40c4276 b5fe6d2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 |
---
language:
- id
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: nerui-seq_bn-1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# nerui-seq_bn-1
This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0410
- Location Precision: 0.9417
- Location Recall: 0.9741
- Location F1: 0.9576
- Location Number: 116
- Organization Precision: 0.9548
- Organization Recall: 0.9367
- Organization F1: 0.9457
- Organization Number: 158
- Person Precision: 0.9762
- Person Recall: 0.9919
- Person F1: 0.9840
- Person Number: 124
- Overall Precision: 0.9576
- Overall Recall: 0.9648
- Overall F1: 0.9612
- Overall Accuracy: 0.9896
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------------------:|:---------------:|:-----------:|:---------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:----------------:|:-------------:|:---------:|:-------------:|:-----------------:|:--------------:|:----------:|:----------------:|
| 0.8476 | 1.0 | 96 | 0.5342 | 0.0 | 0.0 | 0.0 | 116 | 0.0 | 0.0 | 0.0 | 158 | 0.0 | 0.0 | 0.0 | 124 | 0.0 | 0.0 | 0.0 | 0.8394 |
| 0.4619 | 2.0 | 192 | 0.3106 | 0.4107 | 0.1983 | 0.2674 | 116 | 0.3641 | 0.4494 | 0.4023 | 158 | 0.3202 | 0.5242 | 0.3976 | 124 | 0.3502 | 0.3995 | 0.3732 | 0.8998 |
| 0.309 | 3.0 | 288 | 0.2281 | 0.4298 | 0.4224 | 0.4261 | 116 | 0.5021 | 0.7468 | 0.6005 | 158 | 0.5952 | 0.8065 | 0.6849 | 124 | 0.5164 | 0.6709 | 0.5836 | 0.9385 |
| 0.2191 | 4.0 | 384 | 0.1372 | 0.5969 | 0.6638 | 0.6286 | 116 | 0.6848 | 0.7975 | 0.7368 | 158 | 0.8369 | 0.9516 | 0.8906 | 124 | 0.7070 | 0.8065 | 0.7535 | 0.9624 |
| 0.1534 | 5.0 | 480 | 0.0976 | 0.752 | 0.8103 | 0.7801 | 116 | 0.7706 | 0.8291 | 0.7988 | 158 | 0.9104 | 0.9839 | 0.9457 | 124 | 0.8089 | 0.8719 | 0.8392 | 0.9728 |
| 0.1245 | 6.0 | 576 | 0.0794 | 0.8175 | 0.8879 | 0.8512 | 116 | 0.7917 | 0.8418 | 0.8160 | 158 | 0.9318 | 0.9919 | 0.9609 | 124 | 0.8427 | 0.9020 | 0.8714 | 0.9764 |
| 0.1074 | 7.0 | 672 | 0.0701 | 0.832 | 0.8966 | 0.8631 | 116 | 0.8405 | 0.8671 | 0.8536 | 158 | 0.9535 | 0.9919 | 0.9723 | 124 | 0.8729 | 0.9146 | 0.8933 | 0.9800 |
| 0.0956 | 8.0 | 768 | 0.0613 | 0.8413 | 0.9138 | 0.8760 | 116 | 0.8580 | 0.8797 | 0.8688 | 158 | 0.9609 | 0.9919 | 0.9762 | 124 | 0.8846 | 0.9246 | 0.9042 | 0.9819 |
| 0.0854 | 9.0 | 864 | 0.0615 | 0.864 | 0.9310 | 0.8963 | 116 | 0.8161 | 0.8987 | 0.8554 | 158 | 0.9535 | 0.9919 | 0.9723 | 124 | 0.8715 | 0.9372 | 0.9031 | 0.9802 |
| 0.0781 | 10.0 | 960 | 0.0559 | 0.8770 | 0.9224 | 0.8992 | 116 | 0.8494 | 0.8924 | 0.8704 | 158 | 0.9535 | 0.9919 | 0.9723 | 124 | 0.8897 | 0.9322 | 0.9104 | 0.9819 |
| 0.0773 | 11.0 | 1056 | 0.0502 | 0.872 | 0.9397 | 0.9046 | 116 | 0.8773 | 0.9051 | 0.8910 | 158 | 0.9609 | 0.9919 | 0.9762 | 124 | 0.9014 | 0.9422 | 0.9214 | 0.9838 |
| 0.0701 | 12.0 | 1152 | 0.0493 | 0.9008 | 0.9397 | 0.9198 | 116 | 0.8896 | 0.9177 | 0.9034 | 158 | 0.9531 | 0.9839 | 0.9683 | 124 | 0.9126 | 0.9447 | 0.9284 | 0.9846 |
| 0.0653 | 13.0 | 1248 | 0.0436 | 0.9316 | 0.9397 | 0.9356 | 116 | 0.9177 | 0.9177 | 0.9177 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9378 | 0.9472 | 0.9425 | 0.9863 |
| 0.0636 | 14.0 | 1344 | 0.0463 | 0.888 | 0.9569 | 0.9212 | 116 | 0.8968 | 0.8797 | 0.8882 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9165 | 0.9372 | 0.9267 | 0.9838 |
| 0.0611 | 15.0 | 1440 | 0.0423 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9125 | 0.9241 | 0.9182 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9310 | 0.9497 | 0.9403 | 0.9868 |
| 0.0613 | 16.0 | 1536 | 0.0437 | 0.9032 | 0.9655 | 0.9333 | 116 | 0.8639 | 0.9241 | 0.8930 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9093 | 0.9573 | 0.9327 | 0.9857 |
| 0.0625 | 17.0 | 1632 | 0.0420 | 0.9333 | 0.9655 | 0.9492 | 116 | 0.9241 | 0.9241 | 0.9241 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9407 | 0.9573 | 0.9489 | 0.9874 |
| 0.0532 | 18.0 | 1728 | 0.0368 | 0.9322 | 0.9483 | 0.9402 | 116 | 0.9074 | 0.9304 | 0.9187 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9383 | 0.9548 | 0.9465 | 0.9879 |
| 0.0501 | 19.0 | 1824 | 0.0369 | 0.9652 | 0.9569 | 0.9610 | 116 | 0.9130 | 0.9304 | 0.9216 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9501 | 0.9573 | 0.9537 | 0.9890 |
| 0.047 | 20.0 | 1920 | 0.0409 | 0.8943 | 0.9483 | 0.9205 | 116 | 0.8810 | 0.9367 | 0.9080 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9115 | 0.9573 | 0.9338 | 0.9855 |
| 0.0464 | 21.0 | 2016 | 0.0365 | 0.8943 | 0.9483 | 0.9205 | 116 | 0.9062 | 0.9177 | 0.9119 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9242 | 0.9497 | 0.9368 | 0.9865 |
| 0.045 | 22.0 | 2112 | 0.0363 | 0.9328 | 0.9569 | 0.9447 | 116 | 0.8862 | 0.9367 | 0.9108 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9294 | 0.9598 | 0.9444 | 0.9876 |
| 0.0416 | 23.0 | 2208 | 0.0357 | 0.9256 | 0.9655 | 0.9451 | 116 | 0.9182 | 0.9241 | 0.9211 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9407 | 0.9573 | 0.9489 | 0.9887 |
| 0.042 | 24.0 | 2304 | 0.0373 | 0.925 | 0.9569 | 0.9407 | 116 | 0.9231 | 0.9114 | 0.9172 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9426 | 0.9497 | 0.9462 | 0.9876 |
| 0.0394 | 25.0 | 2400 | 0.0363 | 0.9328 | 0.9569 | 0.9447 | 116 | 0.9313 | 0.9430 | 0.9371 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9433 | 0.9623 | 0.9527 | 0.9885 |
| 0.0362 | 26.0 | 2496 | 0.0338 | 0.9573 | 0.9655 | 0.9614 | 116 | 0.9259 | 0.9494 | 0.9375 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9506 | 0.9673 | 0.9589 | 0.9898 |
| 0.0379 | 27.0 | 2592 | 0.0337 | 0.9573 | 0.9655 | 0.9614 | 116 | 0.9085 | 0.9430 | 0.9255 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9435 | 0.9648 | 0.9540 | 0.9890 |
| 0.0328 | 28.0 | 2688 | 0.0362 | 0.9316 | 0.9397 | 0.9356 | 116 | 0.8869 | 0.9430 | 0.9141 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9248 | 0.9573 | 0.9407 | 0.9865 |
| 0.0347 | 29.0 | 2784 | 0.0354 | 0.9412 | 0.9655 | 0.9532 | 116 | 0.8982 | 0.9494 | 0.9231 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9345 | 0.9673 | 0.9506 | 0.9876 |
| 0.0314 | 30.0 | 2880 | 0.0360 | 0.9483 | 0.9483 | 0.9483 | 116 | 0.8922 | 0.9430 | 0.9169 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9340 | 0.9598 | 0.9467 | 0.9874 |
| 0.0312 | 31.0 | 2976 | 0.0323 | 0.9333 | 0.9655 | 0.9492 | 116 | 0.9193 | 0.9367 | 0.9279 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9410 | 0.9623 | 0.9516 | 0.9879 |
| 0.0295 | 32.0 | 3072 | 0.0314 | 0.9412 | 0.9655 | 0.9532 | 116 | 0.9554 | 0.9494 | 0.9524 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9601 | 0.9673 | 0.9637 | 0.9907 |
| 0.0276 | 33.0 | 3168 | 0.0348 | 0.9492 | 0.9655 | 0.9573 | 116 | 0.9308 | 0.9367 | 0.9338 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9504 | 0.9623 | 0.9563 | 0.9893 |
| 0.0291 | 34.0 | 3264 | 0.0333 | 0.9339 | 0.9741 | 0.9536 | 116 | 0.9430 | 0.9430 | 0.9430 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9506 | 0.9673 | 0.9589 | 0.9904 |
| 0.0271 | 35.0 | 3360 | 0.0335 | 0.9402 | 0.9483 | 0.9442 | 116 | 0.9371 | 0.9430 | 0.9401 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9502 | 0.9598 | 0.9550 | 0.9898 |
| 0.0256 | 36.0 | 3456 | 0.0360 | 0.9417 | 0.9741 | 0.9576 | 116 | 0.9313 | 0.9430 | 0.9371 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9483 | 0.9673 | 0.9577 | 0.9896 |
| 0.0251 | 37.0 | 3552 | 0.0347 | 0.9417 | 0.9741 | 0.9576 | 116 | 0.9551 | 0.9430 | 0.9490 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9577 | 0.9673 | 0.9625 | 0.9901 |
| 0.0253 | 38.0 | 3648 | 0.0353 | 0.9328 | 0.9569 | 0.9447 | 116 | 0.9367 | 0.9367 | 0.9367 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9479 | 0.9598 | 0.9538 | 0.9887 |
| 0.0248 | 39.0 | 3744 | 0.0338 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9313 | 0.9430 | 0.9371 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9386 | 0.9598 | 0.9491 | 0.9893 |
| 0.0222 | 40.0 | 3840 | 0.0334 | 0.9407 | 0.9569 | 0.9487 | 116 | 0.9437 | 0.9557 | 0.9497 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9530 | 0.9673 | 0.9601 | 0.9896 |
| 0.0226 | 41.0 | 3936 | 0.0345 | 0.9492 | 0.9655 | 0.9573 | 116 | 0.9255 | 0.9430 | 0.9342 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9481 | 0.9648 | 0.9564 | 0.9898 |
| 0.0208 | 42.0 | 4032 | 0.0345 | 0.9412 | 0.9655 | 0.9532 | 116 | 0.9551 | 0.9430 | 0.9490 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9576 | 0.9648 | 0.9612 | 0.9898 |
| 0.0227 | 43.0 | 4128 | 0.0355 | 0.9483 | 0.9483 | 0.9483 | 116 | 0.9487 | 0.9367 | 0.9427 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9573 | 0.9573 | 0.9573 | 0.9887 |
| 0.0222 | 44.0 | 4224 | 0.0370 | 0.9412 | 0.9655 | 0.9532 | 116 | 0.9367 | 0.9367 | 0.9367 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9504 | 0.9623 | 0.9563 | 0.9893 |
| 0.0197 | 45.0 | 4320 | 0.0362 | 0.9412 | 0.9655 | 0.9532 | 116 | 0.9545 | 0.9304 | 0.9423 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9574 | 0.9598 | 0.9586 | 0.9896 |
| 0.0189 | 46.0 | 4416 | 0.0375 | 0.9333 | 0.9655 | 0.9492 | 116 | 0.9308 | 0.9367 | 0.9338 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9457 | 0.9623 | 0.9539 | 0.9890 |
| 0.02 | 47.0 | 4512 | 0.0363 | 0.9412 | 0.9655 | 0.9532 | 116 | 0.9255 | 0.9430 | 0.9342 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9458 | 0.9648 | 0.9552 | 0.9893 |
| 0.0178 | 48.0 | 4608 | 0.0369 | 0.9492 | 0.9655 | 0.9573 | 116 | 0.9548 | 0.9367 | 0.9457 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9599 | 0.9623 | 0.9611 | 0.9893 |
| 0.02 | 49.0 | 4704 | 0.0357 | 0.9412 | 0.9655 | 0.9532 | 116 | 0.9548 | 0.9367 | 0.9457 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9575 | 0.9623 | 0.9599 | 0.9896 |
| 0.0178 | 50.0 | 4800 | 0.0368 | 0.9492 | 0.9655 | 0.9573 | 116 | 0.9673 | 0.9367 | 0.9518 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9647 | 0.9623 | 0.9635 | 0.9893 |
| 0.0192 | 51.0 | 4896 | 0.0337 | 0.9412 | 0.9655 | 0.9532 | 116 | 0.9430 | 0.9430 | 0.9430 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9529 | 0.9648 | 0.9588 | 0.9898 |
| 0.0173 | 52.0 | 4992 | 0.0352 | 0.9492 | 0.9655 | 0.9573 | 116 | 0.9615 | 0.9494 | 0.9554 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9625 | 0.9673 | 0.9649 | 0.9904 |
| 0.0169 | 53.0 | 5088 | 0.0353 | 0.9492 | 0.9655 | 0.9573 | 116 | 0.9434 | 0.9494 | 0.9464 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9553 | 0.9673 | 0.9613 | 0.9890 |
| 0.0153 | 54.0 | 5184 | 0.0351 | 0.9573 | 0.9655 | 0.9614 | 116 | 0.9618 | 0.9557 | 0.9587 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.965 | 0.9698 | 0.9674 | 0.9898 |
| 0.0145 | 55.0 | 5280 | 0.0349 | 0.9492 | 0.9655 | 0.9573 | 116 | 0.9613 | 0.9430 | 0.9521 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9624 | 0.9648 | 0.9636 | 0.9898 |
| 0.0155 | 56.0 | 5376 | 0.0360 | 0.9417 | 0.9741 | 0.9576 | 116 | 0.9490 | 0.9430 | 0.9460 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9553 | 0.9673 | 0.9613 | 0.9901 |
| 0.016 | 57.0 | 5472 | 0.0376 | 0.9573 | 0.9655 | 0.9614 | 116 | 0.9613 | 0.9430 | 0.9521 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9648 | 0.9648 | 0.9648 | 0.9898 |
| 0.0143 | 58.0 | 5568 | 0.0389 | 0.9412 | 0.9655 | 0.9532 | 116 | 0.9671 | 0.9304 | 0.9484 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9622 | 0.9598 | 0.9610 | 0.9893 |
| 0.0156 | 59.0 | 5664 | 0.0370 | 0.9333 | 0.9655 | 0.9492 | 116 | 0.9427 | 0.9367 | 0.9397 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9504 | 0.9623 | 0.9563 | 0.9901 |
| 0.0152 | 60.0 | 5760 | 0.0367 | 0.9412 | 0.9655 | 0.9532 | 116 | 0.9545 | 0.9304 | 0.9423 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9574 | 0.9598 | 0.9586 | 0.9896 |
| 0.0144 | 61.0 | 5856 | 0.0407 | 0.9333 | 0.9655 | 0.9492 | 116 | 0.9545 | 0.9304 | 0.9423 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.955 | 0.9598 | 0.9574 | 0.9893 |
| 0.0127 | 62.0 | 5952 | 0.0389 | 0.9407 | 0.9569 | 0.9487 | 116 | 0.9545 | 0.9304 | 0.9423 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9573 | 0.9573 | 0.9573 | 0.9890 |
| 0.0149 | 63.0 | 6048 | 0.0402 | 0.9328 | 0.9569 | 0.9447 | 116 | 0.9304 | 0.9304 | 0.9304 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9454 | 0.9573 | 0.9513 | 0.9879 |
| 0.0119 | 64.0 | 6144 | 0.0412 | 0.9316 | 0.9397 | 0.9356 | 116 | 0.9545 | 0.9304 | 0.9423 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9523 | 0.9523 | 0.9523 | 0.9887 |
| 0.0117 | 65.0 | 6240 | 0.0380 | 0.9407 | 0.9569 | 0.9487 | 116 | 0.9542 | 0.9241 | 0.9389 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9572 | 0.9548 | 0.9560 | 0.9887 |
| 0.013 | 66.0 | 6336 | 0.0384 | 0.9402 | 0.9483 | 0.9442 | 116 | 0.9542 | 0.9241 | 0.9389 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9571 | 0.9523 | 0.9547 | 0.9885 |
| 0.012 | 67.0 | 6432 | 0.0413 | 0.9492 | 0.9655 | 0.9573 | 116 | 0.9735 | 0.9304 | 0.9515 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9671 | 0.9598 | 0.9634 | 0.9893 |
| 0.0112 | 68.0 | 6528 | 0.0399 | 0.9492 | 0.9655 | 0.9573 | 116 | 0.9548 | 0.9367 | 0.9457 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9599 | 0.9623 | 0.9611 | 0.9896 |
| 0.0129 | 69.0 | 6624 | 0.0367 | 0.9652 | 0.9569 | 0.9610 | 116 | 0.9490 | 0.9430 | 0.9460 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9623 | 0.9623 | 0.9623 | 0.9898 |
| 0.0115 | 70.0 | 6720 | 0.0381 | 0.9333 | 0.9655 | 0.9492 | 116 | 0.9427 | 0.9367 | 0.9397 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9504 | 0.9623 | 0.9563 | 0.9890 |
| 0.0119 | 71.0 | 6816 | 0.0381 | 0.9412 | 0.9655 | 0.9532 | 116 | 0.9608 | 0.9304 | 0.9453 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9598 | 0.9598 | 0.9598 | 0.9890 |
| 0.0127 | 72.0 | 6912 | 0.0418 | 0.9492 | 0.9655 | 0.9573 | 116 | 0.9545 | 0.9304 | 0.9423 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9598 | 0.9598 | 0.9598 | 0.9890 |
| 0.011 | 73.0 | 7008 | 0.0408 | 0.9412 | 0.9655 | 0.9532 | 116 | 0.9487 | 0.9367 | 0.9427 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9551 | 0.9623 | 0.9587 | 0.9890 |
| 0.0121 | 74.0 | 7104 | 0.0426 | 0.9333 | 0.9655 | 0.9492 | 116 | 0.9545 | 0.9304 | 0.9423 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.955 | 0.9598 | 0.9574 | 0.9890 |
| 0.0122 | 75.0 | 7200 | 0.0391 | 0.9412 | 0.9655 | 0.9532 | 116 | 0.9484 | 0.9304 | 0.9393 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.955 | 0.9598 | 0.9574 | 0.9893 |
| 0.0108 | 76.0 | 7296 | 0.0401 | 0.9412 | 0.9655 | 0.9532 | 116 | 0.9487 | 0.9367 | 0.9427 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9551 | 0.9623 | 0.9587 | 0.9890 |
| 0.0103 | 77.0 | 7392 | 0.0402 | 0.9412 | 0.9655 | 0.9532 | 116 | 0.9545 | 0.9304 | 0.9423 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9574 | 0.9598 | 0.9586 | 0.9887 |
| 0.0105 | 78.0 | 7488 | 0.0404 | 0.9417 | 0.9741 | 0.9576 | 116 | 0.9548 | 0.9367 | 0.9457 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9576 | 0.9648 | 0.9612 | 0.9896 |
| 0.0106 | 79.0 | 7584 | 0.0419 | 0.9417 | 0.9741 | 0.9576 | 116 | 0.9671 | 0.9304 | 0.9484 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9623 | 0.9623 | 0.9623 | 0.9896 |
| 0.0111 | 80.0 | 7680 | 0.0401 | 0.9492 | 0.9655 | 0.9573 | 116 | 0.9490 | 0.9430 | 0.9460 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9576 | 0.9648 | 0.9612 | 0.9893 |
| 0.0109 | 81.0 | 7776 | 0.0395 | 0.9492 | 0.9655 | 0.9573 | 116 | 0.9313 | 0.9430 | 0.9371 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9505 | 0.9648 | 0.9576 | 0.9896 |
| 0.0093 | 82.0 | 7872 | 0.0401 | 0.9333 | 0.9655 | 0.9492 | 116 | 0.9487 | 0.9367 | 0.9427 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9527 | 0.9623 | 0.9575 | 0.9898 |
| 0.0097 | 83.0 | 7968 | 0.0397 | 0.9412 | 0.9655 | 0.9532 | 116 | 0.9430 | 0.9430 | 0.9430 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9529 | 0.9648 | 0.9588 | 0.9901 |
| 0.0099 | 84.0 | 8064 | 0.0411 | 0.9417 | 0.9741 | 0.9576 | 116 | 0.9487 | 0.9367 | 0.9427 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9552 | 0.9648 | 0.96 | 0.9898 |
| 0.0109 | 85.0 | 8160 | 0.0399 | 0.9492 | 0.9655 | 0.9573 | 116 | 0.9371 | 0.9430 | 0.9401 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9529 | 0.9648 | 0.9588 | 0.9898 |
| 0.0086 | 86.0 | 8256 | 0.0415 | 0.9333 | 0.9655 | 0.9492 | 116 | 0.9484 | 0.9304 | 0.9393 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9526 | 0.9598 | 0.9562 | 0.9890 |
| 0.0099 | 87.0 | 8352 | 0.0413 | 0.9333 | 0.9655 | 0.9492 | 116 | 0.9308 | 0.9367 | 0.9338 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9457 | 0.9623 | 0.9539 | 0.9896 |
| 0.0096 | 88.0 | 8448 | 0.0412 | 0.9487 | 0.9569 | 0.9528 | 116 | 0.925 | 0.9367 | 0.9308 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9479 | 0.9598 | 0.9538 | 0.9893 |
| 0.0092 | 89.0 | 8544 | 0.0424 | 0.9417 | 0.9741 | 0.9576 | 116 | 0.9548 | 0.9367 | 0.9457 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9576 | 0.9648 | 0.9612 | 0.9896 |
| 0.0095 | 90.0 | 8640 | 0.0422 | 0.9412 | 0.9655 | 0.9532 | 116 | 0.9484 | 0.9304 | 0.9393 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.955 | 0.9598 | 0.9574 | 0.9893 |
| 0.0097 | 91.0 | 8736 | 0.0420 | 0.9333 | 0.9655 | 0.9492 | 116 | 0.9608 | 0.9304 | 0.9453 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9574 | 0.9598 | 0.9586 | 0.9893 |
| 0.0089 | 92.0 | 8832 | 0.0410 | 0.9407 | 0.9569 | 0.9487 | 116 | 0.9423 | 0.9304 | 0.9363 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9525 | 0.9573 | 0.9549 | 0.9887 |
| 0.009 | 93.0 | 8928 | 0.0400 | 0.9333 | 0.9655 | 0.9492 | 116 | 0.9487 | 0.9367 | 0.9427 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9527 | 0.9623 | 0.9575 | 0.9893 |
| 0.0087 | 94.0 | 9024 | 0.0399 | 0.9407 | 0.9569 | 0.9487 | 116 | 0.9363 | 0.9304 | 0.9333 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9501 | 0.9573 | 0.9537 | 0.9890 |
| 0.0104 | 95.0 | 9120 | 0.0406 | 0.9333 | 0.9655 | 0.9492 | 116 | 0.9487 | 0.9367 | 0.9427 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9527 | 0.9623 | 0.9575 | 0.9893 |
| 0.0096 | 96.0 | 9216 | 0.0407 | 0.9417 | 0.9741 | 0.9576 | 116 | 0.9548 | 0.9367 | 0.9457 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9576 | 0.9648 | 0.9612 | 0.9896 |
| 0.009 | 97.0 | 9312 | 0.0406 | 0.9412 | 0.9655 | 0.9532 | 116 | 0.9487 | 0.9367 | 0.9427 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9551 | 0.9623 | 0.9587 | 0.9890 |
| 0.0077 | 98.0 | 9408 | 0.0411 | 0.9417 | 0.9741 | 0.9576 | 116 | 0.9548 | 0.9367 | 0.9457 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9576 | 0.9648 | 0.9612 | 0.9896 |
| 0.0089 | 99.0 | 9504 | 0.0410 | 0.9417 | 0.9741 | 0.9576 | 116 | 0.9545 | 0.9304 | 0.9423 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9575 | 0.9623 | 0.9599 | 0.9893 |
| 0.0088 | 100.0 | 9600 | 0.0410 | 0.9417 | 0.9741 | 0.9576 | 116 | 0.9548 | 0.9367 | 0.9457 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9576 | 0.9648 | 0.9612 | 0.9896 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
|