Model save
Browse files- README.md +172 -0
- adapter-ner/adapter_config.json +22 -0
- adapter-ner/head_config.json +19 -0
- adapter-ner/pytorch_adapter.bin +3 -0
- adapter-ner/pytorch_model_head.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,172 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
base_model: indolem/indobert-base-uncased
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
model-index:
|
| 7 |
+
- name: nerui-pt-pl5-3
|
| 8 |
+
results: []
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 12 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 13 |
+
|
| 14 |
+
# nerui-pt-pl5-3
|
| 15 |
+
|
| 16 |
+
This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
|
| 17 |
+
It achieves the following results on the evaluation set:
|
| 18 |
+
- Loss: 0.0592
|
| 19 |
+
- Location Precision: 0.8696
|
| 20 |
+
- Location Recall: 0.9302
|
| 21 |
+
- Location F1: 0.8989
|
| 22 |
+
- Location Number: 86
|
| 23 |
+
- Organization Precision: 0.9545
|
| 24 |
+
- Organization Recall: 0.9438
|
| 25 |
+
- Organization F1: 0.9492
|
| 26 |
+
- Organization Number: 178
|
| 27 |
+
- Person Precision: 0.9764
|
| 28 |
+
- Person Recall: 0.9688
|
| 29 |
+
- Person F1: 0.9725
|
| 30 |
+
- Person Number: 128
|
| 31 |
+
- Overall Precision: 0.9418
|
| 32 |
+
- Overall Recall: 0.9490
|
| 33 |
+
- Overall F1: 0.9454
|
| 34 |
+
- Overall Accuracy: 0.9881
|
| 35 |
+
|
| 36 |
+
## Model description
|
| 37 |
+
|
| 38 |
+
More information needed
|
| 39 |
+
|
| 40 |
+
## Intended uses & limitations
|
| 41 |
+
|
| 42 |
+
More information needed
|
| 43 |
+
|
| 44 |
+
## Training and evaluation data
|
| 45 |
+
|
| 46 |
+
More information needed
|
| 47 |
+
|
| 48 |
+
## Training procedure
|
| 49 |
+
|
| 50 |
+
### Training hyperparameters
|
| 51 |
+
|
| 52 |
+
The following hyperparameters were used during training:
|
| 53 |
+
- learning_rate: 5e-05
|
| 54 |
+
- train_batch_size: 16
|
| 55 |
+
- eval_batch_size: 64
|
| 56 |
+
- seed: 42
|
| 57 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 58 |
+
- lr_scheduler_type: linear
|
| 59 |
+
- num_epochs: 100.0
|
| 60 |
+
|
| 61 |
+
### Training results
|
| 62 |
+
|
| 63 |
+
| 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 |
|
| 64 |
+
|:-------------:|:-----:|:----:|:---------------:|:------------------:|:---------------:|:-----------:|:---------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:----------------:|:-------------:|:---------:|:-------------:|:-----------------:|:--------------:|:----------:|:----------------:|
|
| 65 |
+
| 0.8675 | 1.0 | 96 | 0.3662 | 0.25 | 0.0116 | 0.0222 | 86 | 0.2826 | 0.3652 | 0.3186 | 178 | 0.3011 | 0.4141 | 0.3487 | 128 | 0.2902 | 0.3036 | 0.2968 | 0.8794 |
|
| 66 |
+
| 0.3489 | 2.0 | 192 | 0.2010 | 0.4141 | 0.4767 | 0.4432 | 86 | 0.6627 | 0.6292 | 0.6455 | 178 | 0.76 | 0.8906 | 0.8201 | 128 | 0.6388 | 0.6811 | 0.6593 | 0.9428 |
|
| 67 |
+
| 0.2001 | 3.0 | 288 | 0.1061 | 0.75 | 0.8023 | 0.7753 | 86 | 0.7577 | 0.8258 | 0.7903 | 178 | 0.9618 | 0.9844 | 0.9730 | 128 | 0.8201 | 0.8724 | 0.8455 | 0.9690 |
|
| 68 |
+
| 0.1393 | 4.0 | 384 | 0.0960 | 0.7075 | 0.8721 | 0.7812 | 86 | 0.7821 | 0.7865 | 0.7843 | 178 | 0.9470 | 0.9766 | 0.9615 | 128 | 0.8153 | 0.8673 | 0.8405 | 0.9717 |
|
| 69 |
+
| 0.1152 | 5.0 | 480 | 0.0724 | 0.6893 | 0.8256 | 0.7513 | 86 | 0.8475 | 0.8427 | 0.8451 | 178 | 0.9843 | 0.9766 | 0.9804 | 128 | 0.8501 | 0.8827 | 0.8661 | 0.9752 |
|
| 70 |
+
| 0.0966 | 6.0 | 576 | 0.0693 | 0.7232 | 0.9419 | 0.8182 | 86 | 0.8848 | 0.8202 | 0.8513 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.8691 | 0.8980 | 0.8833 | 0.9773 |
|
| 71 |
+
| 0.0885 | 7.0 | 672 | 0.0607 | 0.6697 | 0.8488 | 0.7487 | 86 | 0.8857 | 0.8708 | 0.8782 | 178 | 0.9612 | 0.9688 | 0.9650 | 128 | 0.8523 | 0.8980 | 0.8745 | 0.9773 |
|
| 72 |
+
| 0.0843 | 8.0 | 768 | 0.0572 | 0.8065 | 0.8721 | 0.8380 | 86 | 0.8811 | 0.9157 | 0.8981 | 178 | 0.9688 | 0.9688 | 0.9688 | 128 | 0.8916 | 0.9235 | 0.9073 | 0.9814 |
|
| 73 |
+
| 0.0746 | 9.0 | 864 | 0.0530 | 0.7476 | 0.8953 | 0.8148 | 86 | 0.9226 | 0.8708 | 0.8960 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.8947 | 0.9107 | 0.9027 | 0.9811 |
|
| 74 |
+
| 0.068 | 10.0 | 960 | 0.0578 | 0.7105 | 0.9419 | 0.8100 | 86 | 0.8876 | 0.8427 | 0.8646 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.8662 | 0.9082 | 0.8867 | 0.9784 |
|
| 75 |
+
| 0.0648 | 11.0 | 1056 | 0.0619 | 0.7745 | 0.9186 | 0.8404 | 86 | 0.9136 | 0.8315 | 0.8706 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.8957 | 0.8980 | 0.8968 | 0.9792 |
|
| 76 |
+
| 0.0601 | 12.0 | 1152 | 0.0443 | 0.8242 | 0.8721 | 0.8475 | 86 | 0.9048 | 0.9607 | 0.9319 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9071 | 0.9464 | 0.9263 | 0.9849 |
|
| 77 |
+
| 0.052 | 13.0 | 1248 | 0.0547 | 0.8421 | 0.9302 | 0.8840 | 86 | 0.9401 | 0.8820 | 0.9101 | 178 | 0.9615 | 0.9766 | 0.9690 | 128 | 0.9235 | 0.9235 | 0.9235 | 0.9814 |
|
| 78 |
+
| 0.0514 | 14.0 | 1344 | 0.0455 | 0.8387 | 0.9070 | 0.8715 | 86 | 0.9360 | 0.9045 | 0.9200 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9262 | 0.9286 | 0.9274 | 0.9854 |
|
| 79 |
+
| 0.054 | 15.0 | 1440 | 0.0495 | 0.8667 | 0.9070 | 0.8864 | 86 | 0.8889 | 0.8989 | 0.8939 | 178 | 0.9688 | 0.9688 | 0.9688 | 128 | 0.9095 | 0.9235 | 0.9165 | 0.9849 |
|
| 80 |
+
| 0.0477 | 16.0 | 1536 | 0.0453 | 0.8404 | 0.9186 | 0.8778 | 86 | 0.9045 | 0.9045 | 0.9045 | 178 | 0.9843 | 0.9766 | 0.9804 | 128 | 0.9148 | 0.9311 | 0.9229 | 0.9860 |
|
| 81 |
+
| 0.0476 | 17.0 | 1632 | 0.0503 | 0.8602 | 0.9302 | 0.8939 | 86 | 0.9213 | 0.9213 | 0.9213 | 178 | 0.9843 | 0.9766 | 0.9804 | 128 | 0.9271 | 0.9413 | 0.9342 | 0.9860 |
|
| 82 |
+
| 0.0447 | 18.0 | 1728 | 0.0499 | 0.7822 | 0.9186 | 0.8449 | 86 | 0.9048 | 0.8539 | 0.8786 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.8967 | 0.9082 | 0.9024 | 0.9830 |
|
| 83 |
+
| 0.0463 | 19.0 | 1824 | 0.0458 | 0.8778 | 0.9186 | 0.8977 | 86 | 0.9375 | 0.9270 | 0.9322 | 178 | 0.9843 | 0.9766 | 0.9804 | 128 | 0.9389 | 0.9413 | 0.9401 | 0.9876 |
|
| 84 |
+
| 0.0404 | 20.0 | 1920 | 0.0572 | 0.7434 | 0.9767 | 0.8442 | 86 | 0.9226 | 0.8708 | 0.8960 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.8900 | 0.9286 | 0.9089 | 0.9827 |
|
| 85 |
+
| 0.0389 | 21.0 | 2016 | 0.0421 | 0.8333 | 0.9302 | 0.8791 | 86 | 0.92 | 0.9045 | 0.9122 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9173 | 0.9337 | 0.9254 | 0.9876 |
|
| 86 |
+
| 0.0386 | 22.0 | 2112 | 0.0478 | 0.8137 | 0.9651 | 0.8830 | 86 | 0.9249 | 0.8989 | 0.9117 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9129 | 0.9362 | 0.9244 | 0.9849 |
|
| 87 |
+
| 0.0351 | 23.0 | 2208 | 0.0482 | 0.7980 | 0.9186 | 0.8541 | 86 | 0.9235 | 0.8820 | 0.9023 | 178 | 0.9843 | 0.9766 | 0.9804 | 128 | 0.9116 | 0.9209 | 0.9162 | 0.9857 |
|
| 88 |
+
| 0.0362 | 24.0 | 2304 | 0.0478 | 0.8351 | 0.9419 | 0.8852 | 86 | 0.9050 | 0.9101 | 0.9076 | 178 | 0.9843 | 0.9766 | 0.9804 | 128 | 0.9132 | 0.9388 | 0.9258 | 0.9860 |
|
| 89 |
+
| 0.0325 | 25.0 | 2400 | 0.0490 | 0.8163 | 0.9302 | 0.8696 | 86 | 0.9070 | 0.8764 | 0.8914 | 178 | 0.9690 | 0.9766 | 0.9728 | 128 | 0.9048 | 0.9209 | 0.9128 | 0.9846 |
|
| 90 |
+
| 0.0308 | 26.0 | 2496 | 0.0417 | 0.8710 | 0.9419 | 0.9050 | 86 | 0.9157 | 0.9157 | 0.9157 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9248 | 0.9413 | 0.9330 | 0.9879 |
|
| 91 |
+
| 0.0335 | 27.0 | 2592 | 0.0569 | 0.7961 | 0.9535 | 0.8677 | 86 | 0.9321 | 0.8483 | 0.8882 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9109 | 0.9133 | 0.9121 | 0.9819 |
|
| 92 |
+
| 0.0319 | 28.0 | 2688 | 0.0401 | 0.9412 | 0.9302 | 0.9357 | 86 | 0.9454 | 0.9719 | 0.9584 | 178 | 0.9843 | 0.9766 | 0.9804 | 128 | 0.9570 | 0.9643 | 0.9606 | 0.9903 |
|
| 93 |
+
| 0.0288 | 29.0 | 2784 | 0.0400 | 0.8495 | 0.9186 | 0.8827 | 86 | 0.9494 | 0.9494 | 0.9494 | 178 | 0.9843 | 0.9766 | 0.9804 | 128 | 0.9372 | 0.9515 | 0.9443 | 0.9897 |
|
| 94 |
+
| 0.0303 | 30.0 | 2880 | 0.0523 | 0.8542 | 0.9535 | 0.9011 | 86 | 0.9419 | 0.9101 | 0.9257 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9318 | 0.9413 | 0.9365 | 0.9854 |
|
| 95 |
+
| 0.0283 | 31.0 | 2976 | 0.0433 | 0.8696 | 0.9302 | 0.8989 | 86 | 0.9591 | 0.9213 | 0.9398 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9437 | 0.9413 | 0.9425 | 0.9876 |
|
| 96 |
+
| 0.0287 | 32.0 | 3072 | 0.0520 | 0.81 | 0.9419 | 0.8710 | 86 | 0.9209 | 0.9157 | 0.9183 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9111 | 0.9413 | 0.9260 | 0.9846 |
|
| 97 |
+
| 0.0265 | 33.0 | 3168 | 0.0496 | 0.8384 | 0.9651 | 0.8973 | 86 | 0.9477 | 0.9157 | 0.9314 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9296 | 0.9439 | 0.9367 | 0.9862 |
|
| 98 |
+
| 0.0274 | 34.0 | 3264 | 0.0448 | 0.8646 | 0.9651 | 0.9121 | 86 | 0.9330 | 0.9382 | 0.9356 | 178 | 0.9843 | 0.9766 | 0.9804 | 128 | 0.9328 | 0.9566 | 0.9446 | 0.9876 |
|
| 99 |
+
| 0.0286 | 35.0 | 3360 | 0.0495 | 0.8542 | 0.9535 | 0.9011 | 86 | 0.9306 | 0.9045 | 0.9174 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9270 | 0.9388 | 0.9328 | 0.9860 |
|
| 100 |
+
| 0.026 | 36.0 | 3456 | 0.0493 | 0.82 | 0.9535 | 0.8817 | 86 | 0.9364 | 0.9101 | 0.9231 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9202 | 0.9413 | 0.9306 | 0.9865 |
|
| 101 |
+
| 0.0251 | 37.0 | 3552 | 0.0467 | 0.8681 | 0.9186 | 0.8927 | 86 | 0.9419 | 0.9101 | 0.9257 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9359 | 0.9311 | 0.9335 | 0.9884 |
|
| 102 |
+
| 0.0251 | 38.0 | 3648 | 0.0442 | 0.9 | 0.9419 | 0.9205 | 86 | 0.9425 | 0.9213 | 0.9318 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9439 | 0.9439 | 0.9439 | 0.9887 |
|
| 103 |
+
| 0.0232 | 39.0 | 3744 | 0.0503 | 0.8913 | 0.9535 | 0.9213 | 86 | 0.9318 | 0.9213 | 0.9266 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9369 | 0.9464 | 0.9416 | 0.9876 |
|
| 104 |
+
| 0.0235 | 40.0 | 3840 | 0.0449 | 0.9101 | 0.9419 | 0.9257 | 86 | 0.9185 | 0.9494 | 0.9337 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9352 | 0.9566 | 0.9458 | 0.9887 |
|
| 105 |
+
| 0.0216 | 41.0 | 3936 | 0.0555 | 0.8864 | 0.9070 | 0.8966 | 86 | 0.8950 | 0.9101 | 0.9025 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9192 | 0.9286 | 0.9239 | 0.9846 |
|
| 106 |
+
| 0.0213 | 42.0 | 4032 | 0.0546 | 0.8696 | 0.9302 | 0.8989 | 86 | 0.9195 | 0.8989 | 0.9091 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9264 | 0.9311 | 0.9288 | 0.9852 |
|
| 107 |
+
| 0.0207 | 43.0 | 4128 | 0.0578 | 0.8817 | 0.9535 | 0.9162 | 86 | 0.9281 | 0.8708 | 0.8986 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9328 | 0.9209 | 0.9268 | 0.9860 |
|
| 108 |
+
| 0.0222 | 44.0 | 4224 | 0.0495 | 0.8791 | 0.9302 | 0.9040 | 86 | 0.9302 | 0.8989 | 0.9143 | 178 | 0.9685 | 0.9609 | 0.9647 | 128 | 0.9308 | 0.9260 | 0.9284 | 0.9876 |
|
| 109 |
+
| 0.0198 | 45.0 | 4320 | 0.0548 | 0.8632 | 0.9535 | 0.9061 | 86 | 0.9306 | 0.9045 | 0.9174 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9293 | 0.9388 | 0.9340 | 0.9873 |
|
| 110 |
+
| 0.0206 | 46.0 | 4416 | 0.0562 | 0.8617 | 0.9419 | 0.9000 | 86 | 0.9425 | 0.9213 | 0.9318 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9343 | 0.9439 | 0.9391 | 0.9862 |
|
| 111 |
+
| 0.02 | 47.0 | 4512 | 0.0558 | 0.8710 | 0.9419 | 0.9050 | 86 | 0.9322 | 0.9270 | 0.9296 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9320 | 0.9439 | 0.9379 | 0.9860 |
|
| 112 |
+
| 0.0193 | 48.0 | 4608 | 0.0496 | 0.8710 | 0.9419 | 0.9050 | 86 | 0.9535 | 0.9213 | 0.9371 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9413 | 0.9413 | 0.9413 | 0.9887 |
|
| 113 |
+
| 0.0197 | 49.0 | 4704 | 0.0511 | 0.8617 | 0.9419 | 0.9000 | 86 | 0.9586 | 0.9101 | 0.9337 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9410 | 0.9362 | 0.9386 | 0.9879 |
|
| 114 |
+
| 0.0191 | 50.0 | 4800 | 0.0537 | 0.8804 | 0.9419 | 0.9101 | 86 | 0.9429 | 0.9270 | 0.9348 | 178 | 0.9688 | 0.9688 | 0.9688 | 128 | 0.9367 | 0.9439 | 0.9403 | 0.9879 |
|
| 115 |
+
| 0.0184 | 51.0 | 4896 | 0.0520 | 0.875 | 0.9767 | 0.9231 | 86 | 0.9474 | 0.9101 | 0.9284 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9392 | 0.9464 | 0.9428 | 0.9881 |
|
| 116 |
+
| 0.0175 | 52.0 | 4992 | 0.0613 | 0.8723 | 0.9535 | 0.9111 | 86 | 0.9375 | 0.9270 | 0.9322 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9345 | 0.9464 | 0.9404 | 0.9862 |
|
| 117 |
+
| 0.017 | 53.0 | 5088 | 0.0533 | 0.8617 | 0.9419 | 0.9000 | 86 | 0.9261 | 0.9157 | 0.9209 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9270 | 0.9388 | 0.9328 | 0.9876 |
|
| 118 |
+
| 0.0184 | 54.0 | 5184 | 0.0515 | 0.8764 | 0.9070 | 0.8914 | 86 | 0.9330 | 0.9382 | 0.9356 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9365 | 0.9413 | 0.9389 | 0.9879 |
|
| 119 |
+
| 0.0157 | 55.0 | 5280 | 0.0471 | 0.8804 | 0.9419 | 0.9101 | 86 | 0.9379 | 0.9326 | 0.9352 | 178 | 0.9762 | 0.9609 | 0.9685 | 128 | 0.9367 | 0.9439 | 0.9403 | 0.9889 |
|
| 120 |
+
| 0.0183 | 56.0 | 5376 | 0.0491 | 0.8696 | 0.9302 | 0.8989 | 86 | 0.9425 | 0.9213 | 0.9318 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9364 | 0.9388 | 0.9376 | 0.9881 |
|
| 121 |
+
| 0.0147 | 57.0 | 5472 | 0.0583 | 0.8817 | 0.9535 | 0.9162 | 86 | 0.9171 | 0.9326 | 0.9248 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9277 | 0.9490 | 0.9382 | 0.9865 |
|
| 122 |
+
| 0.0157 | 58.0 | 5568 | 0.0594 | 0.8723 | 0.9535 | 0.9111 | 86 | 0.9425 | 0.9213 | 0.9318 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9367 | 0.9439 | 0.9403 | 0.9868 |
|
| 123 |
+
| 0.016 | 59.0 | 5664 | 0.0487 | 0.8876 | 0.9186 | 0.9029 | 86 | 0.9494 | 0.9494 | 0.9494 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9442 | 0.9490 | 0.9466 | 0.9887 |
|
| 124 |
+
| 0.0149 | 60.0 | 5760 | 0.0485 | 0.8542 | 0.9535 | 0.9011 | 86 | 0.9480 | 0.9213 | 0.9345 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9343 | 0.9439 | 0.9391 | 0.9884 |
|
| 125 |
+
| 0.0149 | 61.0 | 5856 | 0.0494 | 0.8602 | 0.9302 | 0.8939 | 86 | 0.9489 | 0.9382 | 0.9435 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9369 | 0.9464 | 0.9416 | 0.9884 |
|
| 126 |
+
| 0.0152 | 62.0 | 5952 | 0.0518 | 0.8723 | 0.9535 | 0.9111 | 86 | 0.9379 | 0.9326 | 0.9352 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9347 | 0.9490 | 0.9418 | 0.9879 |
|
| 127 |
+
| 0.0158 | 63.0 | 6048 | 0.0566 | 0.8817 | 0.9535 | 0.9162 | 86 | 0.9435 | 0.9382 | 0.9408 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9395 | 0.9515 | 0.9455 | 0.9876 |
|
| 128 |
+
| 0.0145 | 64.0 | 6144 | 0.0486 | 0.8989 | 0.9302 | 0.9143 | 86 | 0.9432 | 0.9326 | 0.9379 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9439 | 0.9439 | 0.9439 | 0.9884 |
|
| 129 |
+
| 0.0151 | 65.0 | 6240 | 0.0520 | 0.8876 | 0.9186 | 0.9029 | 86 | 0.9379 | 0.9326 | 0.9352 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9389 | 0.9413 | 0.9401 | 0.9879 |
|
| 130 |
+
| 0.0138 | 66.0 | 6336 | 0.0626 | 0.8557 | 0.9651 | 0.9071 | 86 | 0.9322 | 0.9270 | 0.9296 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9277 | 0.9490 | 0.9382 | 0.9862 |
|
| 131 |
+
| 0.0139 | 67.0 | 6432 | 0.0595 | 0.8804 | 0.9419 | 0.9101 | 86 | 0.9368 | 0.9157 | 0.9261 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9364 | 0.9388 | 0.9376 | 0.9873 |
|
| 132 |
+
| 0.0128 | 68.0 | 6528 | 0.0603 | 0.8696 | 0.9302 | 0.8989 | 86 | 0.9314 | 0.9157 | 0.9235 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9315 | 0.9362 | 0.9338 | 0.9862 |
|
| 133 |
+
| 0.0133 | 69.0 | 6624 | 0.0587 | 0.8681 | 0.9186 | 0.8927 | 86 | 0.9385 | 0.9438 | 0.9412 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9345 | 0.9464 | 0.9404 | 0.9862 |
|
| 134 |
+
| 0.0147 | 70.0 | 6720 | 0.0565 | 0.8696 | 0.9302 | 0.8989 | 86 | 0.9314 | 0.9157 | 0.9235 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9315 | 0.9362 | 0.9338 | 0.9873 |
|
| 135 |
+
| 0.014 | 71.0 | 6816 | 0.0551 | 0.8791 | 0.9302 | 0.9040 | 86 | 0.9379 | 0.9326 | 0.9352 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9369 | 0.9464 | 0.9416 | 0.9868 |
|
| 136 |
+
| 0.0125 | 72.0 | 6912 | 0.0551 | 0.8889 | 0.9302 | 0.9091 | 86 | 0.9543 | 0.9382 | 0.9462 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9466 | 0.9490 | 0.9478 | 0.9892 |
|
| 137 |
+
| 0.0128 | 73.0 | 7008 | 0.0554 | 0.8696 | 0.9302 | 0.8989 | 86 | 0.96 | 0.9438 | 0.9518 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9442 | 0.9490 | 0.9466 | 0.9881 |
|
| 138 |
+
| 0.0121 | 74.0 | 7104 | 0.0591 | 0.8617 | 0.9419 | 0.9000 | 86 | 0.9492 | 0.9438 | 0.9465 | 178 | 0.9841 | 0.9688 | 0.9764 | 128 | 0.9395 | 0.9515 | 0.9455 | 0.9876 |
|
| 139 |
+
| 0.0114 | 75.0 | 7200 | 0.0618 | 0.8438 | 0.9419 | 0.8901 | 86 | 0.9593 | 0.9270 | 0.9429 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9367 | 0.9439 | 0.9403 | 0.9870 |
|
| 140 |
+
| 0.0127 | 76.0 | 7296 | 0.0610 | 0.8696 | 0.9302 | 0.8989 | 86 | 0.96 | 0.9438 | 0.9518 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9442 | 0.9490 | 0.9466 | 0.9870 |
|
| 141 |
+
| 0.0105 | 77.0 | 7392 | 0.0619 | 0.8587 | 0.9186 | 0.8876 | 86 | 0.9492 | 0.9438 | 0.9465 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9369 | 0.9464 | 0.9416 | 0.9868 |
|
| 142 |
+
| 0.0126 | 78.0 | 7488 | 0.0615 | 0.8723 | 0.9535 | 0.9111 | 86 | 0.9598 | 0.9382 | 0.9489 | 178 | 0.9766 | 0.9766 | 0.9766 | 128 | 0.9444 | 0.9541 | 0.9492 | 0.9879 |
|
| 143 |
+
| 0.0129 | 79.0 | 7584 | 0.0597 | 0.8587 | 0.9186 | 0.8876 | 86 | 0.9540 | 0.9326 | 0.9432 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9389 | 0.9413 | 0.9401 | 0.9868 |
|
| 144 |
+
| 0.0117 | 80.0 | 7680 | 0.0651 | 0.8696 | 0.9302 | 0.8989 | 86 | 0.9322 | 0.9270 | 0.9296 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9318 | 0.9413 | 0.9365 | 0.9857 |
|
| 145 |
+
| 0.0112 | 81.0 | 7776 | 0.0596 | 0.8571 | 0.9070 | 0.8814 | 86 | 0.9337 | 0.9494 | 0.9415 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9298 | 0.9464 | 0.9381 | 0.9873 |
|
| 146 |
+
| 0.0108 | 82.0 | 7872 | 0.0616 | 0.8696 | 0.9302 | 0.8989 | 86 | 0.9438 | 0.9438 | 0.9438 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9370 | 0.9490 | 0.9430 | 0.9879 |
|
| 147 |
+
| 0.0109 | 83.0 | 7968 | 0.0610 | 0.8387 | 0.9070 | 0.8715 | 86 | 0.9326 | 0.9326 | 0.9326 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9246 | 0.9388 | 0.9316 | 0.9870 |
|
| 148 |
+
| 0.0105 | 84.0 | 8064 | 0.0619 | 0.8478 | 0.9070 | 0.8764 | 86 | 0.9492 | 0.9438 | 0.9465 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9343 | 0.9439 | 0.9391 | 0.9876 |
|
| 149 |
+
| 0.0111 | 85.0 | 8160 | 0.0611 | 0.8478 | 0.9070 | 0.8764 | 86 | 0.9438 | 0.9438 | 0.9438 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9320 | 0.9439 | 0.9379 | 0.9873 |
|
| 150 |
+
| 0.0109 | 86.0 | 8256 | 0.0596 | 0.8495 | 0.9186 | 0.8827 | 86 | 0.9492 | 0.9438 | 0.9465 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9345 | 0.9464 | 0.9404 | 0.9879 |
|
| 151 |
+
| 0.0106 | 87.0 | 8352 | 0.0601 | 0.8571 | 0.9070 | 0.8814 | 86 | 0.9492 | 0.9438 | 0.9465 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9367 | 0.9439 | 0.9403 | 0.9873 |
|
| 152 |
+
| 0.0097 | 88.0 | 8448 | 0.0602 | 0.8817 | 0.9535 | 0.9162 | 86 | 0.96 | 0.9438 | 0.9518 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9468 | 0.9541 | 0.9504 | 0.9889 |
|
| 153 |
+
| 0.0094 | 89.0 | 8544 | 0.0606 | 0.8804 | 0.9419 | 0.9101 | 86 | 0.9545 | 0.9438 | 0.9492 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9443 | 0.9515 | 0.9479 | 0.9881 |
|
| 154 |
+
| 0.0103 | 90.0 | 8640 | 0.0609 | 0.8696 | 0.9302 | 0.8989 | 86 | 0.9492 | 0.9438 | 0.9465 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9394 | 0.9490 | 0.9442 | 0.9881 |
|
| 155 |
+
| 0.0113 | 91.0 | 8736 | 0.0585 | 0.8791 | 0.9302 | 0.9040 | 86 | 0.9545 | 0.9438 | 0.9492 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9442 | 0.9490 | 0.9466 | 0.9884 |
|
| 156 |
+
| 0.0116 | 92.0 | 8832 | 0.0592 | 0.8696 | 0.9302 | 0.8989 | 86 | 0.9435 | 0.9382 | 0.9408 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9369 | 0.9464 | 0.9416 | 0.9881 |
|
| 157 |
+
| 0.0115 | 93.0 | 8928 | 0.0589 | 0.8804 | 0.9419 | 0.9101 | 86 | 0.9492 | 0.9438 | 0.9465 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9419 | 0.9515 | 0.9467 | 0.9881 |
|
| 158 |
+
| 0.0097 | 94.0 | 9024 | 0.0598 | 0.8710 | 0.9419 | 0.9050 | 86 | 0.96 | 0.9438 | 0.9518 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9443 | 0.9515 | 0.9479 | 0.9884 |
|
| 159 |
+
| 0.0092 | 95.0 | 9120 | 0.0598 | 0.8804 | 0.9419 | 0.9101 | 86 | 0.9545 | 0.9438 | 0.9492 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9443 | 0.9515 | 0.9479 | 0.9884 |
|
| 160 |
+
| 0.0095 | 96.0 | 9216 | 0.0586 | 0.8696 | 0.9302 | 0.8989 | 86 | 0.9545 | 0.9438 | 0.9492 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9418 | 0.9490 | 0.9454 | 0.9881 |
|
| 161 |
+
| 0.0088 | 97.0 | 9312 | 0.0596 | 0.8696 | 0.9302 | 0.8989 | 86 | 0.9545 | 0.9438 | 0.9492 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9418 | 0.9490 | 0.9454 | 0.9881 |
|
| 162 |
+
| 0.0086 | 98.0 | 9408 | 0.0593 | 0.8696 | 0.9302 | 0.8989 | 86 | 0.9545 | 0.9438 | 0.9492 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9418 | 0.9490 | 0.9454 | 0.9881 |
|
| 163 |
+
| 0.0086 | 99.0 | 9504 | 0.0591 | 0.8696 | 0.9302 | 0.8989 | 86 | 0.9545 | 0.9438 | 0.9492 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9418 | 0.9490 | 0.9454 | 0.9881 |
|
| 164 |
+
| 0.009 | 100.0 | 9600 | 0.0592 | 0.8696 | 0.9302 | 0.8989 | 86 | 0.9545 | 0.9438 | 0.9492 | 178 | 0.9764 | 0.9688 | 0.9725 | 128 | 0.9418 | 0.9490 | 0.9454 | 0.9881 |
|
| 165 |
+
|
| 166 |
+
|
| 167 |
+
### Framework versions
|
| 168 |
+
|
| 169 |
+
- Transformers 4.40.2
|
| 170 |
+
- Pytorch 2.3.0+cu121
|
| 171 |
+
- Datasets 2.19.1
|
| 172 |
+
- Tokenizers 0.19.1
|
adapter-ner/adapter_config.json
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"config": {
|
| 3 |
+
"architecture": "prefix_tuning",
|
| 4 |
+
"bottleneck_size": 512,
|
| 5 |
+
"cross_prefix": true,
|
| 6 |
+
"dropout": 0.0,
|
| 7 |
+
"encoder_prefix": true,
|
| 8 |
+
"flat": false,
|
| 9 |
+
"leave_out": [],
|
| 10 |
+
"non_linearity": "tanh",
|
| 11 |
+
"prefix_length": 5,
|
| 12 |
+
"shared_gating": true,
|
| 13 |
+
"use_gating": false
|
| 14 |
+
},
|
| 15 |
+
"config_id": "25a1b954cd3b867c",
|
| 16 |
+
"hidden_size": 768,
|
| 17 |
+
"model_class": "BertForTokenClassification",
|
| 18 |
+
"model_name": "indolem/indobert-base-uncased",
|
| 19 |
+
"model_type": "bert",
|
| 20 |
+
"name": "adapter-ner",
|
| 21 |
+
"version": "0.2.2"
|
| 22 |
+
}
|
adapter-ner/head_config.json
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"config": null,
|
| 3 |
+
"hidden_size": 768,
|
| 4 |
+
"label2id": {
|
| 5 |
+
"B-LOCATION": 0,
|
| 6 |
+
"B-ORGANIZATION": 1,
|
| 7 |
+
"B-PERSON": 2,
|
| 8 |
+
"I-LOCATION": 3,
|
| 9 |
+
"I-ORGANIZATION": 4,
|
| 10 |
+
"I-PERSON": 5,
|
| 11 |
+
"O": 6
|
| 12 |
+
},
|
| 13 |
+
"model_class": "BertForTokenClassification",
|
| 14 |
+
"model_name": "indolem/indobert-base-uncased",
|
| 15 |
+
"model_type": "bert",
|
| 16 |
+
"name": null,
|
| 17 |
+
"num_labels": 7,
|
| 18 |
+
"version": "0.2.2"
|
| 19 |
+
}
|
adapter-ner/pytorch_adapter.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5fb6ac5ce4f6338a864b603a9223b98ca331c925b4749dc2469c0649ad7d6c73
|
| 3 |
+
size 39427092
|
adapter-ner/pytorch_model_head.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1eb853ee7af23fb5499d51d5bd90b0405dbf5fb1ee55a28b2cfc1824ee5da593
|
| 3 |
+
size 23066
|