File size: 36,365 Bytes
c277417 fc6c52a c277417 09a1b2b c277417 09a1b2b | 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-3
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-3
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: 0.0541
- Location Precision: 0.9022
- Location Recall: 0.9651
- Location F1: 0.9326
- Location Number: 86
- Organization Precision: 0.9006
- Organization Recall: 0.9157
- Organization F1: 0.9081
- Organization Number: 178
- Person Precision: 0.9766
- Person Recall: 0.9766
- Person F1: 0.9766
- Person Number: 128
- Overall Precision: 0.9252
- Overall Recall: 0.9464
- Overall F1: 0.9357
- Overall Accuracy: 0.9857
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------------------:|:---------------:|:-----------:|:---------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:----------------:|:-------------:|:---------:|:-------------:|:-----------------:|:--------------:|:----------:|:----------------:|
| 0.834 | 1.0 | 96 | 0.5200 | 0.0 | 0.0 | 0.0 | 86 | 0.3333 | 0.0112 | 0.0217 | 178 | 0.0 | 0.0 | 0.0 | 128 | 0.25 | 0.0051 | 0.0100 | 0.8437 |
| 0.4501 | 2.0 | 192 | 0.3053 | 0.4524 | 0.2209 | 0.2969 | 86 | 0.3739 | 0.4831 | 0.4216 | 178 | 0.3445 | 0.5625 | 0.4273 | 128 | 0.3680 | 0.4515 | 0.4055 | 0.9042 |
| 0.309 | 3.0 | 288 | 0.2180 | 0.5714 | 0.5116 | 0.5399 | 86 | 0.6212 | 0.6910 | 0.6543 | 178 | 0.6646 | 0.8203 | 0.7343 | 128 | 0.6282 | 0.6939 | 0.6594 | 0.9425 |
| 0.2169 | 4.0 | 384 | 0.1387 | 0.6633 | 0.7558 | 0.7065 | 86 | 0.75 | 0.7416 | 0.7458 | 178 | 0.8696 | 0.9375 | 0.9023 | 128 | 0.7694 | 0.8087 | 0.7886 | 0.9625 |
| 0.145 | 5.0 | 480 | 0.1083 | 0.7228 | 0.8488 | 0.7807 | 86 | 0.7424 | 0.8258 | 0.7819 | 178 | 0.9179 | 0.9609 | 0.9389 | 128 | 0.7921 | 0.875 | 0.8315 | 0.9671 |
| 0.1191 | 6.0 | 576 | 0.0931 | 0.7048 | 0.8605 | 0.7749 | 86 | 0.8249 | 0.8202 | 0.8225 | 178 | 0.9318 | 0.9609 | 0.9462 | 128 | 0.8285 | 0.875 | 0.8511 | 0.9703 |
| 0.1063 | 7.0 | 672 | 0.0904 | 0.7130 | 0.8953 | 0.7938 | 86 | 0.7989 | 0.8483 | 0.8229 | 178 | 0.9265 | 0.9844 | 0.9545 | 128 | 0.8176 | 0.9031 | 0.8582 | 0.9698 |
| 0.0947 | 8.0 | 768 | 0.0734 | 0.7624 | 0.8953 | 0.8235 | 86 | 0.8242 | 0.8427 | 0.8333 | 178 | 0.9535 | 0.9609 | 0.9572 | 128 | 0.8495 | 0.8929 | 0.8706 | 0.9768 |
| 0.085 | 9.0 | 864 | 0.0692 | 0.7959 | 0.9070 | 0.8478 | 86 | 0.8449 | 0.8876 | 0.8658 | 178 | 0.9466 | 0.9688 | 0.9575 | 128 | 0.8654 | 0.9184 | 0.8911 | 0.9789 |
| 0.082 | 10.0 | 960 | 0.0669 | 0.7959 | 0.9070 | 0.8478 | 86 | 0.8579 | 0.8820 | 0.8698 | 178 | 0.9615 | 0.9766 | 0.9690 | 128 | 0.8759 | 0.9184 | 0.8966 | 0.9789 |
| 0.0769 | 11.0 | 1056 | 0.0632 | 0.8182 | 0.9419 | 0.8757 | 86 | 0.8548 | 0.8933 | 0.8736 | 178 | 0.9612 | 0.9688 | 0.9650 | 128 | 0.8792 | 0.9286 | 0.9032 | 0.9803 |
| 0.0749 | 12.0 | 1152 | 0.0609 | 0.8421 | 0.9302 | 0.8840 | 86 | 0.8717 | 0.9157 | 0.8932 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.8954 | 0.9388 | 0.9166 | 0.9819 |
| 0.0648 | 13.0 | 1248 | 0.0569 | 0.8316 | 0.9186 | 0.8729 | 86 | 0.8736 | 0.8933 | 0.8833 | 178 | 0.9612 | 0.9688 | 0.9650 | 128 | 0.8916 | 0.9235 | 0.9073 | 0.9811 |
| 0.0639 | 14.0 | 1344 | 0.0598 | 0.8211 | 0.9070 | 0.8619 | 86 | 0.9012 | 0.8708 | 0.8857 | 178 | 0.9612 | 0.9688 | 0.9650 | 128 | 0.9015 | 0.9107 | 0.9061 | 0.9811 |
| 0.0627 | 15.0 | 1440 | 0.0537 | 0.8495 | 0.9186 | 0.8827 | 86 | 0.8757 | 0.9101 | 0.8926 | 178 | 0.9843 | 0.9766 | 0.9804 | 128 | 0.9037 | 0.9337 | 0.9184 | 0.9819 |
| 0.0567 | 16.0 | 1536 | 0.0549 | 0.8247 | 0.9302 | 0.8743 | 86 | 0.8656 | 0.9045 | 0.8846 | 178 | 0.9615 | 0.9766 | 0.9690 | 128 | 0.8862 | 0.9337 | 0.9093 | 0.9792 |
| 0.0546 | 17.0 | 1632 | 0.0511 | 0.8696 | 0.9302 | 0.8989 | 86 | 0.8757 | 0.9101 | 0.8926 | 178 | 0.9843 | 0.9766 | 0.9804 | 128 | 0.9084 | 0.9362 | 0.9221 | 0.9830 |
| 0.0527 | 18.0 | 1728 | 0.0529 | 0.8454 | 0.9535 | 0.8962 | 86 | 0.9029 | 0.8876 | 0.8952 | 178 | 0.9688 | 0.9688 | 0.9688 | 128 | 0.91 | 0.9286 | 0.9192 | 0.9827 |
| 0.0492 | 19.0 | 1824 | 0.0535 | 0.8602 | 0.9302 | 0.8939 | 86 | 0.8977 | 0.8876 | 0.8927 | 178 | 0.9688 | 0.9688 | 0.9688 | 128 | 0.9118 | 0.9235 | 0.9176 | 0.9822 |
| 0.0474 | 20.0 | 1920 | 0.0501 | 0.8617 | 0.9419 | 0.9000 | 86 | 0.9061 | 0.9213 | 0.9136 | 178 | 0.9843 | 0.9766 | 0.9804 | 128 | 0.9204 | 0.9439 | 0.9320 | 0.9827 |
| 0.0447 | 21.0 | 2016 | 0.0528 | 0.8660 | 0.9767 | 0.9180 | 86 | 0.9045 | 0.9045 | 0.9045 | 178 | 0.9843 | 0.9766 | 0.9804 | 128 | 0.9204 | 0.9439 | 0.9320 | 0.9835 |
| 0.0453 | 22.0 | 2112 | 0.0522 | 0.8137 | 0.9651 | 0.8830 | 86 | 0.9056 | 0.9157 | 0.9106 | 178 | 0.9843 | 0.9766 | 0.9804 | 128 | 0.9071 | 0.9464 | 0.9263 | 0.9819 |
| 0.039 | 23.0 | 2208 | 0.0494 | 0.8384 | 0.9651 | 0.8973 | 86 | 0.92 | 0.9045 | 0.9122 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9179 | 0.9413 | 0.9295 | 0.9835 |
| 0.0414 | 24.0 | 2304 | 0.0537 | 0.83 | 0.9651 | 0.8925 | 86 | 0.9143 | 0.8989 | 0.9065 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9132 | 0.9388 | 0.9258 | 0.9819 |
| 0.038 | 25.0 | 2400 | 0.0514 | 0.8632 | 0.9535 | 0.9061 | 86 | 0.9191 | 0.8933 | 0.9060 | 178 | 0.9843 | 0.9766 | 0.9804 | 128 | 0.9266 | 0.9337 | 0.9301 | 0.9838 |
| 0.038 | 26.0 | 2496 | 0.0505 | 0.875 | 0.9767 | 0.9231 | 86 | 0.9244 | 0.8933 | 0.9086 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9293 | 0.9388 | 0.9340 | 0.9833 |
| 0.037 | 27.0 | 2592 | 0.0508 | 0.8469 | 0.9651 | 0.9022 | 86 | 0.9195 | 0.8989 | 0.9091 | 178 | 0.9843 | 0.9766 | 0.9804 | 128 | 0.9223 | 0.9388 | 0.9305 | 0.9825 |
| 0.0375 | 28.0 | 2688 | 0.0482 | 0.875 | 0.9767 | 0.9231 | 86 | 0.9101 | 0.9101 | 0.9101 | 178 | 0.9843 | 0.9766 | 0.9804 | 128 | 0.9252 | 0.9464 | 0.9357 | 0.9841 |
| 0.0342 | 29.0 | 2784 | 0.0484 | 0.8830 | 0.9651 | 0.9222 | 86 | 0.9096 | 0.9045 | 0.9070 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9248 | 0.9413 | 0.9330 | 0.9833 |
| 0.0314 | 30.0 | 2880 | 0.0489 | 0.8557 | 0.9651 | 0.9071 | 86 | 0.8913 | 0.9213 | 0.9061 | 178 | 0.9767 | 0.9844 | 0.9805 | 128 | 0.9098 | 0.9515 | 0.9302 | 0.9841 |
| 0.0308 | 31.0 | 2976 | 0.0522 | 0.8660 | 0.9767 | 0.9180 | 86 | 0.9029 | 0.8876 | 0.8952 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9175 | 0.9362 | 0.9268 | 0.9825 |
| 0.0284 | 32.0 | 3072 | 0.0507 | 0.875 | 0.9767 | 0.9231 | 86 | 0.9143 | 0.8989 | 0.9065 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9248 | 0.9413 | 0.9330 | 0.9833 |
| 0.029 | 33.0 | 3168 | 0.0519 | 0.8485 | 0.9767 | 0.9081 | 86 | 0.9133 | 0.8876 | 0.9003 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9175 | 0.9362 | 0.9268 | 0.9819 |
| 0.0273 | 34.0 | 3264 | 0.0514 | 0.8660 | 0.9767 | 0.9180 | 86 | 0.92 | 0.9045 | 0.9122 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.925 | 0.9439 | 0.9343 | 0.9827 |
| 0.0273 | 35.0 | 3360 | 0.0535 | 0.8660 | 0.9767 | 0.9180 | 86 | 0.9133 | 0.8876 | 0.9003 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9221 | 0.9362 | 0.9291 | 0.9827 |
| 0.0275 | 36.0 | 3456 | 0.0519 | 0.8384 | 0.9651 | 0.8973 | 86 | 0.8895 | 0.9045 | 0.8969 | 178 | 0.9615 | 0.9766 | 0.9690 | 128 | 0.9 | 0.9413 | 0.9202 | 0.9814 |
| 0.0244 | 37.0 | 3552 | 0.0511 | 0.8438 | 0.9419 | 0.8901 | 86 | 0.8989 | 0.8989 | 0.8989 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9104 | 0.9337 | 0.9219 | 0.9819 |
| 0.0272 | 38.0 | 3648 | 0.0563 | 0.8660 | 0.9767 | 0.9180 | 86 | 0.9029 | 0.8876 | 0.8952 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9175 | 0.9362 | 0.9268 | 0.9827 |
| 0.028 | 39.0 | 3744 | 0.0517 | 0.875 | 0.9767 | 0.9231 | 86 | 0.9101 | 0.9101 | 0.9101 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9229 | 0.9464 | 0.9345 | 0.9835 |
| 0.0236 | 40.0 | 3840 | 0.0525 | 0.8723 | 0.9535 | 0.9111 | 86 | 0.9056 | 0.9157 | 0.9106 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9204 | 0.9439 | 0.9320 | 0.9833 |
| 0.0223 | 41.0 | 3936 | 0.0547 | 0.8901 | 0.9419 | 0.9153 | 86 | 0.9157 | 0.9157 | 0.9157 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9295 | 0.9413 | 0.9354 | 0.9835 |
| 0.0228 | 42.0 | 4032 | 0.0505 | 0.8804 | 0.9419 | 0.9101 | 86 | 0.9011 | 0.9213 | 0.9111 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9204 | 0.9439 | 0.9320 | 0.9841 |
| 0.0233 | 43.0 | 4128 | 0.0556 | 0.8646 | 0.9651 | 0.9121 | 86 | 0.9061 | 0.9213 | 0.9136 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9185 | 0.9490 | 0.9335 | 0.9835 |
| 0.0219 | 44.0 | 4224 | 0.0529 | 0.8571 | 0.9767 | 0.9130 | 86 | 0.8865 | 0.9213 | 0.9036 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9053 | 0.9515 | 0.9279 | 0.9835 |
| 0.0194 | 45.0 | 4320 | 0.0572 | 0.8660 | 0.9767 | 0.9180 | 86 | 0.9195 | 0.8989 | 0.9091 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9248 | 0.9413 | 0.9330 | 0.9819 |
| 0.0212 | 46.0 | 4416 | 0.0550 | 0.8454 | 0.9535 | 0.8962 | 86 | 0.8919 | 0.9270 | 0.9091 | 178 | 0.9615 | 0.9766 | 0.9690 | 128 | 0.9029 | 0.9490 | 0.9254 | 0.9827 |
| 0.019 | 47.0 | 4512 | 0.0515 | 0.8511 | 0.9302 | 0.8889 | 86 | 0.8967 | 0.9270 | 0.9116 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9091 | 0.9439 | 0.9262 | 0.9843 |
| 0.0182 | 48.0 | 4608 | 0.0524 | 0.8632 | 0.9535 | 0.9061 | 86 | 0.9006 | 0.9157 | 0.9081 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9158 | 0.9439 | 0.9296 | 0.9841 |
| 0.0185 | 49.0 | 4704 | 0.0523 | 0.8830 | 0.9651 | 0.9222 | 86 | 0.9148 | 0.9045 | 0.9096 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9271 | 0.9413 | 0.9342 | 0.9843 |
| 0.0181 | 50.0 | 4800 | 0.0539 | 0.875 | 0.9767 | 0.9231 | 86 | 0.9 | 0.9101 | 0.9050 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9183 | 0.9464 | 0.9322 | 0.9838 |
| 0.0181 | 51.0 | 4896 | 0.0564 | 0.8925 | 0.9651 | 0.9274 | 86 | 0.9205 | 0.9101 | 0.9153 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9320 | 0.9439 | 0.9379 | 0.9841 |
| 0.0177 | 52.0 | 4992 | 0.0585 | 0.8830 | 0.9651 | 0.9222 | 86 | 0.9314 | 0.9157 | 0.9235 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9345 | 0.9464 | 0.9404 | 0.9835 |
| 0.0168 | 53.0 | 5088 | 0.0541 | 0.8333 | 0.9302 | 0.8791 | 86 | 0.8877 | 0.9326 | 0.9096 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9005 | 0.9464 | 0.9229 | 0.9835 |
| 0.0172 | 54.0 | 5184 | 0.0514 | 0.8696 | 0.9302 | 0.8989 | 86 | 0.8930 | 0.9382 | 0.9151 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9118 | 0.9490 | 0.9300 | 0.9846 |
| 0.0165 | 55.0 | 5280 | 0.0504 | 0.9022 | 0.9651 | 0.9326 | 86 | 0.9111 | 0.9213 | 0.9162 | 178 | 0.9843 | 0.9766 | 0.9804 | 128 | 0.9323 | 0.9490 | 0.9406 | 0.9854 |
| 0.017 | 56.0 | 5376 | 0.0514 | 0.8830 | 0.9651 | 0.9222 | 86 | 0.9081 | 0.9438 | 0.9256 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9238 | 0.9592 | 0.9412 | 0.9852 |
| 0.0153 | 57.0 | 5472 | 0.0513 | 0.8737 | 0.9651 | 0.9171 | 86 | 0.8777 | 0.9270 | 0.9016 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9075 | 0.9515 | 0.9290 | 0.9865 |
| 0.0157 | 58.0 | 5568 | 0.0568 | 0.8936 | 0.9767 | 0.9333 | 86 | 0.9195 | 0.8989 | 0.9091 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9318 | 0.9413 | 0.9365 | 0.9841 |
| 0.0139 | 59.0 | 5664 | 0.0530 | 0.9101 | 0.9419 | 0.9257 | 86 | 0.8944 | 0.9045 | 0.8994 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9244 | 0.9362 | 0.9303 | 0.9838 |
| 0.0156 | 60.0 | 5760 | 0.0518 | 0.8646 | 0.9651 | 0.9121 | 86 | 0.8804 | 0.9101 | 0.8950 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9046 | 0.9439 | 0.9238 | 0.9841 |
| 0.0134 | 61.0 | 5856 | 0.0491 | 0.9101 | 0.9419 | 0.9257 | 86 | 0.9027 | 0.9382 | 0.9201 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9256 | 0.9515 | 0.9384 | 0.9852 |
| 0.0128 | 62.0 | 5952 | 0.0513 | 0.8913 | 0.9535 | 0.9213 | 86 | 0.8770 | 0.9213 | 0.8986 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9093 | 0.9464 | 0.9275 | 0.9843 |
| 0.0126 | 63.0 | 6048 | 0.0512 | 0.9121 | 0.9651 | 0.9379 | 86 | 0.8919 | 0.9270 | 0.9091 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9210 | 0.9515 | 0.9360 | 0.9854 |
| 0.0134 | 64.0 | 6144 | 0.0520 | 0.9011 | 0.9535 | 0.9266 | 86 | 0.8956 | 0.9157 | 0.9056 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9227 | 0.9439 | 0.9332 | 0.9843 |
| 0.0128 | 65.0 | 6240 | 0.0494 | 0.9022 | 0.9651 | 0.9326 | 86 | 0.8783 | 0.9326 | 0.9046 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9122 | 0.9541 | 0.9327 | 0.9860 |
| 0.0119 | 66.0 | 6336 | 0.0511 | 0.8830 | 0.9651 | 0.9222 | 86 | 0.8811 | 0.9157 | 0.8981 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9093 | 0.9464 | 0.9275 | 0.9852 |
| 0.012 | 67.0 | 6432 | 0.0549 | 0.8830 | 0.9651 | 0.9222 | 86 | 0.92 | 0.9045 | 0.9122 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9295 | 0.9413 | 0.9354 | 0.9852 |
| 0.0124 | 68.0 | 6528 | 0.0523 | 0.8913 | 0.9535 | 0.9213 | 86 | 0.8865 | 0.9213 | 0.9036 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9138 | 0.9464 | 0.9298 | 0.9838 |
| 0.0139 | 69.0 | 6624 | 0.0550 | 0.8817 | 0.9535 | 0.9162 | 86 | 0.9096 | 0.9045 | 0.9070 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9223 | 0.9388 | 0.9305 | 0.9841 |
| 0.0121 | 70.0 | 6720 | 0.0528 | 0.9022 | 0.9651 | 0.9326 | 86 | 0.8871 | 0.9270 | 0.9066 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9165 | 0.9515 | 0.9337 | 0.9852 |
| 0.0113 | 71.0 | 6816 | 0.0500 | 0.8901 | 0.9419 | 0.9153 | 86 | 0.8730 | 0.9270 | 0.8992 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9071 | 0.9464 | 0.9263 | 0.9857 |
| 0.0114 | 72.0 | 6912 | 0.0560 | 0.8804 | 0.9419 | 0.9101 | 86 | 0.8811 | 0.9157 | 0.8981 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9089 | 0.9413 | 0.9248 | 0.9843 |
| 0.01 | 73.0 | 7008 | 0.0532 | 0.8737 | 0.9651 | 0.9171 | 86 | 0.8871 | 0.9270 | 0.9066 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9098 | 0.9515 | 0.9302 | 0.9857 |
| 0.0138 | 74.0 | 7104 | 0.0525 | 0.8925 | 0.9651 | 0.9274 | 86 | 0.8817 | 0.9213 | 0.9011 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9118 | 0.9490 | 0.9300 | 0.9852 |
| 0.0108 | 75.0 | 7200 | 0.0573 | 0.8646 | 0.9651 | 0.9121 | 86 | 0.9040 | 0.8989 | 0.9014 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9154 | 0.9388 | 0.9270 | 0.9827 |
| 0.0113 | 76.0 | 7296 | 0.0550 | 0.9022 | 0.9651 | 0.9326 | 86 | 0.8950 | 0.9101 | 0.9025 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9204 | 0.9439 | 0.9320 | 0.9849 |
| 0.0111 | 77.0 | 7392 | 0.0564 | 0.9121 | 0.9651 | 0.9379 | 86 | 0.9157 | 0.9157 | 0.9157 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9345 | 0.9464 | 0.9404 | 0.9846 |
| 0.0114 | 78.0 | 7488 | 0.0565 | 0.8737 | 0.9651 | 0.9171 | 86 | 0.8950 | 0.9101 | 0.9025 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9158 | 0.9439 | 0.9296 | 0.9833 |
| 0.0101 | 79.0 | 7584 | 0.0547 | 0.9022 | 0.9651 | 0.9326 | 86 | 0.9111 | 0.9213 | 0.9162 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9277 | 0.9490 | 0.9382 | 0.9846 |
| 0.0108 | 80.0 | 7680 | 0.0527 | 0.9022 | 0.9651 | 0.9326 | 86 | 0.8865 | 0.9213 | 0.9036 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9163 | 0.9490 | 0.9323 | 0.9854 |
| 0.0108 | 81.0 | 7776 | 0.0524 | 0.8925 | 0.9651 | 0.9274 | 86 | 0.8877 | 0.9326 | 0.9096 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9144 | 0.9541 | 0.9338 | 0.9860 |
| 0.0108 | 82.0 | 7872 | 0.0553 | 0.8830 | 0.9651 | 0.9222 | 86 | 0.8901 | 0.9101 | 0.9000 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9158 | 0.9439 | 0.9296 | 0.9846 |
| 0.0109 | 83.0 | 7968 | 0.0529 | 0.8925 | 0.9651 | 0.9274 | 86 | 0.8907 | 0.9157 | 0.9030 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9160 | 0.9464 | 0.9310 | 0.9852 |
| 0.0095 | 84.0 | 8064 | 0.0545 | 0.8925 | 0.9651 | 0.9274 | 86 | 0.9 | 0.9101 | 0.9050 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9227 | 0.9439 | 0.9332 | 0.9846 |
| 0.0096 | 85.0 | 8160 | 0.0556 | 0.9022 | 0.9651 | 0.9326 | 86 | 0.9101 | 0.9101 | 0.9101 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9296 | 0.9439 | 0.9367 | 0.9841 |
| 0.0098 | 86.0 | 8256 | 0.0534 | 0.9022 | 0.9651 | 0.9326 | 86 | 0.9022 | 0.9326 | 0.9171 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9235 | 0.9541 | 0.9385 | 0.9854 |
| 0.0103 | 87.0 | 8352 | 0.0529 | 0.9121 | 0.9651 | 0.9379 | 86 | 0.9056 | 0.9157 | 0.9106 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9275 | 0.9464 | 0.9369 | 0.9854 |
| 0.0113 | 88.0 | 8448 | 0.0537 | 0.8925 | 0.9651 | 0.9274 | 86 | 0.9016 | 0.9270 | 0.9141 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9233 | 0.9515 | 0.9372 | 0.9857 |
| 0.0103 | 89.0 | 8544 | 0.0538 | 0.8913 | 0.9535 | 0.9213 | 86 | 0.8913 | 0.9213 | 0.9061 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9160 | 0.9464 | 0.9310 | 0.9852 |
| 0.0101 | 90.0 | 8640 | 0.0522 | 0.8913 | 0.9535 | 0.9213 | 86 | 0.8865 | 0.9213 | 0.9036 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9138 | 0.9464 | 0.9298 | 0.9849 |
| 0.0089 | 91.0 | 8736 | 0.0528 | 0.9022 | 0.9651 | 0.9326 | 86 | 0.8859 | 0.9157 | 0.9006 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9160 | 0.9464 | 0.9310 | 0.9852 |
| 0.0088 | 92.0 | 8832 | 0.0547 | 0.9022 | 0.9651 | 0.9326 | 86 | 0.8956 | 0.9157 | 0.9056 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9206 | 0.9464 | 0.9333 | 0.9849 |
| 0.0099 | 93.0 | 8928 | 0.0542 | 0.9022 | 0.9651 | 0.9326 | 86 | 0.8907 | 0.9157 | 0.9030 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9183 | 0.9464 | 0.9322 | 0.9849 |
| 0.0095 | 94.0 | 9024 | 0.0542 | 0.9022 | 0.9651 | 0.9326 | 86 | 0.8907 | 0.9157 | 0.9030 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9183 | 0.9464 | 0.9322 | 0.9849 |
| 0.0094 | 95.0 | 9120 | 0.0536 | 0.9022 | 0.9651 | 0.9326 | 86 | 0.8907 | 0.9157 | 0.9030 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9206 | 0.9464 | 0.9333 | 0.9857 |
| 0.0093 | 96.0 | 9216 | 0.0531 | 0.9022 | 0.9651 | 0.9326 | 86 | 0.8913 | 0.9213 | 0.9061 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9208 | 0.9490 | 0.9347 | 0.9862 |
| 0.009 | 97.0 | 9312 | 0.0536 | 0.9022 | 0.9651 | 0.9326 | 86 | 0.8865 | 0.9213 | 0.9036 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9163 | 0.9490 | 0.9323 | 0.9857 |
| 0.0099 | 98.0 | 9408 | 0.0538 | 0.9022 | 0.9651 | 0.9326 | 86 | 0.8956 | 0.9157 | 0.9056 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9229 | 0.9464 | 0.9345 | 0.9854 |
| 0.0089 | 99.0 | 9504 | 0.0541 | 0.9121 | 0.9651 | 0.9379 | 86 | 0.9006 | 0.9157 | 0.9081 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9275 | 0.9464 | 0.9369 | 0.9860 |
| 0.0107 | 100.0 | 9600 | 0.0541 | 0.9022 | 0.9651 | 0.9326 | 86 | 0.9006 | 0.9157 | 0.9081 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9252 | 0.9464 | 0.9357 | 0.9857 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
|