Model save
Browse files
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-pl30-1
|
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-pl30-1
|
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: 0.0541
|
19 |
+
- Location Precision: 0.9244
|
20 |
+
- Location Recall: 0.9483
|
21 |
+
- Location F1: 0.9362
|
22 |
+
- Location Number: 116
|
23 |
+
- Organization Precision: 0.9608
|
24 |
+
- Organization Recall: 0.9304
|
25 |
+
- Organization F1: 0.9453
|
26 |
+
- Organization Number: 158
|
27 |
+
- Person Precision: 0.9762
|
28 |
+
- Person Recall: 0.9919
|
29 |
+
- Person F1: 0.9840
|
30 |
+
- Person Number: 124
|
31 |
+
- Overall Precision: 0.9548
|
32 |
+
- Overall Recall: 0.9548
|
33 |
+
- Overall F1: 0.9548
|
34 |
+
- Overall Accuracy: 0.9907
|
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 |
+
| 0.8833 | 1.0 | 96 | 0.4193 | 0.0 | 0.0 | 0.0 | 116 | 0.2982 | 0.1076 | 0.1581 | 158 | 0.2830 | 0.1210 | 0.1695 | 124 | 0.2857 | 0.0804 | 0.1255 | 0.8501 |
|
66 |
+
| 0.3788 | 2.0 | 192 | 0.2375 | 0.344 | 0.3707 | 0.3568 | 116 | 0.5535 | 0.5570 | 0.5552 | 158 | 0.5562 | 0.7581 | 0.6416 | 124 | 0.4967 | 0.5653 | 0.5288 | 0.9286 |
|
67 |
+
| 0.2233 | 3.0 | 288 | 0.1220 | 0.7008 | 0.7672 | 0.7325 | 116 | 0.6649 | 0.7785 | 0.7172 | 158 | 0.8897 | 0.9758 | 0.9308 | 124 | 0.7433 | 0.8367 | 0.7872 | 0.9618 |
|
68 |
+
| 0.1473 | 4.0 | 384 | 0.0942 | 0.7609 | 0.9052 | 0.8268 | 116 | 0.7403 | 0.8481 | 0.7906 | 158 | 0.976 | 0.9839 | 0.9799 | 124 | 0.8131 | 0.9070 | 0.8575 | 0.9712 |
|
69 |
+
| 0.118 | 5.0 | 480 | 0.0602 | 0.9027 | 0.8793 | 0.8908 | 116 | 0.8452 | 0.8987 | 0.8712 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.8993 | 0.9196 | 0.9093 | 0.9822 |
|
70 |
+
| 0.1004 | 6.0 | 576 | 0.0580 | 0.8254 | 0.8966 | 0.8595 | 116 | 0.8903 | 0.8734 | 0.8818 | 158 | 0.9457 | 0.9839 | 0.9644 | 124 | 0.8878 | 0.9146 | 0.9010 | 0.9808 |
|
71 |
+
| 0.0894 | 7.0 | 672 | 0.0506 | 0.9091 | 0.8621 | 0.8850 | 116 | 0.8563 | 0.9051 | 0.88 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9082 | 0.9196 | 0.9139 | 0.9824 |
|
72 |
+
| 0.078 | 8.0 | 768 | 0.0490 | 0.8618 | 0.9138 | 0.8870 | 116 | 0.9091 | 0.8861 | 0.8974 | 158 | 0.976 | 0.9839 | 0.9799 | 124 | 0.9154 | 0.9246 | 0.92 | 0.9841 |
|
73 |
+
| 0.0717 | 9.0 | 864 | 0.0516 | 0.8770 | 0.9224 | 0.8992 | 116 | 0.8780 | 0.9114 | 0.8944 | 158 | 0.9839 | 0.9839 | 0.9839 | 124 | 0.9098 | 0.9372 | 0.9233 | 0.9849 |
|
74 |
+
| 0.067 | 10.0 | 960 | 0.0548 | 0.8421 | 0.9655 | 0.8996 | 116 | 0.9252 | 0.8608 | 0.8918 | 158 | 0.9389 | 0.9919 | 0.9647 | 124 | 0.9027 | 0.9322 | 0.9172 | 0.9805 |
|
75 |
+
| 0.065 | 11.0 | 1056 | 0.0423 | 0.8740 | 0.9569 | 0.9136 | 116 | 0.9295 | 0.9177 | 0.9236 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9289 | 0.9523 | 0.9404 | 0.9871 |
|
76 |
+
| 0.0574 | 12.0 | 1152 | 0.0379 | 0.8992 | 0.9224 | 0.9106 | 116 | 0.9467 | 0.8987 | 0.9221 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9442 | 0.9347 | 0.9394 | 0.9890 |
|
77 |
+
| 0.0559 | 13.0 | 1248 | 0.0406 | 0.9237 | 0.9397 | 0.9316 | 116 | 0.9245 | 0.9304 | 0.9274 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9428 | 0.9523 | 0.9475 | 0.9882 |
|
78 |
+
| 0.0508 | 14.0 | 1344 | 0.0465 | 0.9016 | 0.9483 | 0.9244 | 116 | 0.9408 | 0.9051 | 0.9226 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.94 | 0.9447 | 0.9424 | 0.9876 |
|
79 |
+
| 0.0474 | 15.0 | 1440 | 0.0408 | 0.9328 | 0.9569 | 0.9447 | 116 | 0.925 | 0.9367 | 0.9308 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9432 | 0.9598 | 0.9514 | 0.9876 |
|
80 |
+
| 0.0458 | 16.0 | 1536 | 0.0388 | 0.9322 | 0.9483 | 0.9402 | 116 | 0.9484 | 0.9304 | 0.9393 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9524 | 0.9548 | 0.9536 | 0.9901 |
|
81 |
+
| 0.0456 | 17.0 | 1632 | 0.0464 | 0.9083 | 0.9397 | 0.9237 | 116 | 0.9080 | 0.9367 | 0.9221 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9291 | 0.9548 | 0.9418 | 0.9876 |
|
82 |
+
| 0.0436 | 18.0 | 1728 | 0.0398 | 0.9322 | 0.9483 | 0.9402 | 116 | 0.9673 | 0.9367 | 0.9518 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9597 | 0.9573 | 0.9585 | 0.9901 |
|
83 |
+
| 0.0412 | 19.0 | 1824 | 0.0421 | 0.9478 | 0.9397 | 0.9437 | 116 | 0.925 | 0.9367 | 0.9308 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9453 | 0.9548 | 0.95 | 0.9890 |
|
84 |
+
| 0.0384 | 20.0 | 1920 | 0.0467 | 0.8908 | 0.9138 | 0.9021 | 116 | 0.8982 | 0.9494 | 0.9231 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9177 | 0.9523 | 0.9346 | 0.9874 |
|
85 |
+
| 0.0369 | 21.0 | 2016 | 0.0414 | 0.9083 | 0.9397 | 0.9237 | 116 | 0.9308 | 0.9367 | 0.9338 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9360 | 0.9548 | 0.9453 | 0.9893 |
|
86 |
+
| 0.0332 | 22.0 | 2112 | 0.0409 | 0.9 | 0.9310 | 0.9153 | 116 | 0.9423 | 0.9304 | 0.9363 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9403 | 0.9497 | 0.9450 | 0.9887 |
|
87 |
+
| 0.035 | 23.0 | 2208 | 0.0373 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9610 | 0.9367 | 0.9487 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9549 | 0.9573 | 0.9561 | 0.9909 |
|
88 |
+
| 0.0338 | 24.0 | 2304 | 0.0418 | 0.9091 | 0.9483 | 0.9283 | 116 | 0.9434 | 0.9494 | 0.9464 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9433 | 0.9623 | 0.9527 | 0.9885 |
|
89 |
+
| 0.0331 | 25.0 | 2400 | 0.0457 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9226 | 0.9051 | 0.9137 | 158 | 0.9609 | 0.9919 | 0.9762 | 124 | 0.9328 | 0.9422 | 0.9375 | 0.9876 |
|
90 |
+
| 0.0287 | 26.0 | 2496 | 0.0488 | 0.9091 | 0.9483 | 0.9283 | 116 | 0.9412 | 0.9114 | 0.9260 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9401 | 0.9472 | 0.9437 | 0.9882 |
|
91 |
+
| 0.0282 | 27.0 | 2592 | 0.0468 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9474 | 0.9114 | 0.9290 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9446 | 0.9422 | 0.9434 | 0.9879 |
|
92 |
+
| 0.0282 | 28.0 | 2688 | 0.0433 | 0.9076 | 0.9310 | 0.9191 | 116 | 0.9494 | 0.9494 | 0.9494 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9431 | 0.9573 | 0.9501 | 0.9896 |
|
93 |
+
| 0.0267 | 29.0 | 2784 | 0.0432 | 0.9076 | 0.9310 | 0.9191 | 116 | 0.9371 | 0.9430 | 0.9401 | 158 | 0.9609 | 0.9919 | 0.9762 | 124 | 0.9360 | 0.9548 | 0.9453 | 0.9885 |
|
94 |
+
| 0.0252 | 30.0 | 2880 | 0.0444 | 0.9231 | 0.9310 | 0.9270 | 116 | 0.9255 | 0.9430 | 0.9342 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9406 | 0.9548 | 0.9476 | 0.9890 |
|
95 |
+
| 0.0238 | 31.0 | 2976 | 0.0432 | 0.9316 | 0.9397 | 0.9356 | 116 | 0.9487 | 0.9367 | 0.9427 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9524 | 0.9548 | 0.9536 | 0.9896 |
|
96 |
+
| 0.0228 | 32.0 | 3072 | 0.0406 | 0.9237 | 0.9397 | 0.9316 | 116 | 0.9487 | 0.9367 | 0.9427 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.95 | 0.9548 | 0.9524 | 0.9896 |
|
97 |
+
| 0.0231 | 33.0 | 3168 | 0.0506 | 0.9091 | 0.9483 | 0.9283 | 116 | 0.9477 | 0.9177 | 0.9325 | 158 | 0.976 | 0.9839 | 0.9799 | 124 | 0.9449 | 0.9472 | 0.9460 | 0.9893 |
|
98 |
+
| 0.0219 | 34.0 | 3264 | 0.0470 | 0.9310 | 0.9310 | 0.9310 | 116 | 0.9494 | 0.9494 | 0.9494 | 158 | 0.9603 | 0.9758 | 0.9680 | 124 | 0.9475 | 0.9523 | 0.9499 | 0.9901 |
|
99 |
+
| 0.021 | 35.0 | 3360 | 0.0477 | 0.9316 | 0.9397 | 0.9356 | 116 | 0.9487 | 0.9367 | 0.9427 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9499 | 0.9523 | 0.9511 | 0.9901 |
|
100 |
+
| 0.0192 | 36.0 | 3456 | 0.0530 | 0.9098 | 0.9569 | 0.9328 | 116 | 0.9603 | 0.9177 | 0.9385 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9474 | 0.9497 | 0.9486 | 0.9890 |
|
101 |
+
| 0.0208 | 37.0 | 3552 | 0.0456 | 0.9083 | 0.9397 | 0.9237 | 116 | 0.9416 | 0.9177 | 0.9295 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9425 | 0.9472 | 0.9449 | 0.9893 |
|
102 |
+
| 0.0193 | 38.0 | 3648 | 0.0423 | 0.9091 | 0.9483 | 0.9283 | 116 | 0.9610 | 0.9367 | 0.9487 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9501 | 0.9573 | 0.9537 | 0.9909 |
|
103 |
+
| 0.0181 | 39.0 | 3744 | 0.0417 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9613 | 0.9430 | 0.9521 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.955 | 0.9598 | 0.9574 | 0.9907 |
|
104 |
+
| 0.0196 | 40.0 | 3840 | 0.0464 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9494 | 0.9494 | 0.9494 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9479 | 0.9598 | 0.9538 | 0.9898 |
|
105 |
+
| 0.0179 | 41.0 | 3936 | 0.0444 | 0.9083 | 0.9397 | 0.9237 | 116 | 0.9484 | 0.9304 | 0.9393 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9451 | 0.9523 | 0.9487 | 0.9896 |
|
106 |
+
| 0.018 | 42.0 | 4032 | 0.0539 | 0.9076 | 0.9310 | 0.9191 | 116 | 0.9542 | 0.9241 | 0.9389 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9449 | 0.9472 | 0.9460 | 0.9890 |
|
107 |
+
| 0.017 | 43.0 | 4128 | 0.0420 | 0.9391 | 0.9310 | 0.9351 | 116 | 0.9554 | 0.9494 | 0.9524 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9549 | 0.9573 | 0.9561 | 0.9915 |
|
108 |
+
| 0.0153 | 44.0 | 4224 | 0.0505 | 0.9231 | 0.9310 | 0.9270 | 116 | 0.9545 | 0.9304 | 0.9423 | 158 | 0.9609 | 0.9919 | 0.9762 | 124 | 0.9474 | 0.9497 | 0.9486 | 0.9907 |
|
109 |
+
| 0.0162 | 45.0 | 4320 | 0.0496 | 0.8992 | 0.9224 | 0.9106 | 116 | 0.9551 | 0.9430 | 0.9490 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9451 | 0.9523 | 0.9487 | 0.9898 |
|
110 |
+
| 0.0162 | 46.0 | 4416 | 0.0479 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9605 | 0.9241 | 0.9419 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9523 | 0.9523 | 0.9523 | 0.9898 |
|
111 |
+
| 0.018 | 47.0 | 4512 | 0.0466 | 0.9231 | 0.9310 | 0.9270 | 116 | 0.9177 | 0.9177 | 0.9177 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9377 | 0.9447 | 0.9412 | 0.9890 |
|
112 |
+
| 0.0164 | 48.0 | 4608 | 0.0476 | 0.9237 | 0.9397 | 0.9316 | 116 | 0.9542 | 0.9241 | 0.9389 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9521 | 0.9497 | 0.9509 | 0.9896 |
|
113 |
+
| 0.015 | 49.0 | 4704 | 0.0472 | 0.9237 | 0.9397 | 0.9316 | 116 | 0.9613 | 0.9430 | 0.9521 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9549 | 0.9573 | 0.9561 | 0.9909 |
|
114 |
+
| 0.0138 | 50.0 | 4800 | 0.0471 | 0.9316 | 0.9397 | 0.9356 | 116 | 0.9545 | 0.9304 | 0.9423 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9547 | 0.9523 | 0.9535 | 0.9904 |
|
115 |
+
| 0.0149 | 51.0 | 4896 | 0.0501 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9671 | 0.9304 | 0.9484 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9547 | 0.9523 | 0.9535 | 0.9901 |
|
116 |
+
| 0.0148 | 52.0 | 4992 | 0.0433 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9545 | 0.9304 | 0.9423 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9524 | 0.9548 | 0.9536 | 0.9909 |
|
117 |
+
| 0.0149 | 53.0 | 5088 | 0.0447 | 0.9153 | 0.9310 | 0.9231 | 116 | 0.9542 | 0.9241 | 0.9389 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9472 | 0.9472 | 0.9472 | 0.9898 |
|
118 |
+
| 0.0144 | 54.0 | 5184 | 0.0460 | 0.9322 | 0.9483 | 0.9402 | 116 | 0.9610 | 0.9367 | 0.9487 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9549 | 0.9573 | 0.9561 | 0.9901 |
|
119 |
+
| 0.0135 | 55.0 | 5280 | 0.0508 | 0.9310 | 0.9310 | 0.9310 | 116 | 0.9434 | 0.9494 | 0.9464 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9501 | 0.9573 | 0.9537 | 0.9904 |
|
120 |
+
| 0.0132 | 56.0 | 5376 | 0.0471 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9542 | 0.9241 | 0.9389 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9523 | 0.9523 | 0.9523 | 0.9907 |
|
121 |
+
| 0.0125 | 57.0 | 5472 | 0.0480 | 0.9231 | 0.9310 | 0.9270 | 116 | 0.9613 | 0.9430 | 0.9521 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9548 | 0.9548 | 0.9548 | 0.9909 |
|
122 |
+
| 0.0137 | 58.0 | 5568 | 0.0482 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9671 | 0.9304 | 0.9484 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9524 | 0.9548 | 0.9536 | 0.9909 |
|
123 |
+
| 0.0113 | 59.0 | 5664 | 0.0461 | 0.9237 | 0.9397 | 0.9316 | 116 | 0.9673 | 0.9367 | 0.9518 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9572 | 0.9548 | 0.9560 | 0.9901 |
|
124 |
+
| 0.0122 | 60.0 | 5760 | 0.0477 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9671 | 0.9304 | 0.9484 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9547 | 0.9523 | 0.9535 | 0.9904 |
|
125 |
+
| 0.0112 | 61.0 | 5856 | 0.0491 | 0.9316 | 0.9397 | 0.9356 | 116 | 0.9610 | 0.9367 | 0.9487 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9572 | 0.9548 | 0.9560 | 0.9907 |
|
126 |
+
| 0.0103 | 62.0 | 5952 | 0.0535 | 0.9231 | 0.9310 | 0.9270 | 116 | 0.9548 | 0.9367 | 0.9457 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9523 | 0.9523 | 0.9523 | 0.9893 |
|
127 |
+
| 0.012 | 63.0 | 6048 | 0.0495 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9548 | 0.9367 | 0.9457 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9525 | 0.9573 | 0.9549 | 0.9896 |
|
128 |
+
| 0.0117 | 64.0 | 6144 | 0.0491 | 0.9231 | 0.9310 | 0.9270 | 116 | 0.9304 | 0.9304 | 0.9304 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9403 | 0.9497 | 0.9450 | 0.9904 |
|
129 |
+
| 0.0103 | 65.0 | 6240 | 0.0559 | 0.9076 | 0.9310 | 0.9191 | 116 | 0.9484 | 0.9304 | 0.9393 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.945 | 0.9497 | 0.9474 | 0.9887 |
|
130 |
+
| 0.0116 | 66.0 | 6336 | 0.0506 | 0.9076 | 0.9310 | 0.9191 | 116 | 0.9490 | 0.9430 | 0.9460 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9453 | 0.9548 | 0.95 | 0.9904 |
|
131 |
+
| 0.0105 | 67.0 | 6432 | 0.0469 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9545 | 0.9304 | 0.9423 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9524 | 0.9548 | 0.9536 | 0.9909 |
|
132 |
+
| 0.0097 | 68.0 | 6528 | 0.0497 | 0.925 | 0.9569 | 0.9407 | 116 | 0.9608 | 0.9304 | 0.9453 | 158 | 0.976 | 0.9839 | 0.9799 | 124 | 0.9548 | 0.9548 | 0.9548 | 0.9909 |
|
133 |
+
| 0.0093 | 69.0 | 6624 | 0.0479 | 0.9316 | 0.9397 | 0.9356 | 116 | 0.9610 | 0.9367 | 0.9487 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9572 | 0.9548 | 0.9560 | 0.9901 |
|
134 |
+
| 0.0093 | 70.0 | 6720 | 0.0478 | 0.9316 | 0.9397 | 0.9356 | 116 | 0.9610 | 0.9367 | 0.9487 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9572 | 0.9548 | 0.9560 | 0.9901 |
|
135 |
+
| 0.01 | 71.0 | 6816 | 0.0444 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9613 | 0.9430 | 0.9521 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.955 | 0.9598 | 0.9574 | 0.9912 |
|
136 |
+
| 0.0096 | 72.0 | 6912 | 0.0423 | 0.9478 | 0.9397 | 0.9437 | 116 | 0.9490 | 0.9430 | 0.9460 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9573 | 0.9573 | 0.9573 | 0.9918 |
|
137 |
+
| 0.0088 | 73.0 | 7008 | 0.0462 | 0.9322 | 0.9483 | 0.9402 | 116 | 0.9673 | 0.9367 | 0.9518 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9597 | 0.9573 | 0.9585 | 0.9907 |
|
138 |
+
| 0.01 | 74.0 | 7104 | 0.0477 | 0.9316 | 0.9397 | 0.9356 | 116 | 0.9490 | 0.9430 | 0.9460 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9525 | 0.9573 | 0.9549 | 0.9915 |
|
139 |
+
| 0.0083 | 75.0 | 7200 | 0.0490 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9542 | 0.9241 | 0.9389 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9523 | 0.9523 | 0.9523 | 0.9907 |
|
140 |
+
| 0.0085 | 76.0 | 7296 | 0.0482 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9487 | 0.9367 | 0.9427 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9478 | 0.9573 | 0.9525 | 0.9909 |
|
141 |
+
| 0.0091 | 77.0 | 7392 | 0.0496 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9610 | 0.9367 | 0.9487 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9549 | 0.9573 | 0.9561 | 0.9912 |
|
142 |
+
| 0.0083 | 78.0 | 7488 | 0.0476 | 0.9237 | 0.9397 | 0.9316 | 116 | 0.9673 | 0.9367 | 0.9518 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9547 | 0.9523 | 0.9535 | 0.9904 |
|
143 |
+
| 0.0087 | 79.0 | 7584 | 0.0494 | 0.9316 | 0.9397 | 0.9356 | 116 | 0.9423 | 0.9304 | 0.9363 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9499 | 0.9523 | 0.9511 | 0.9898 |
|
144 |
+
| 0.0077 | 80.0 | 7680 | 0.0506 | 0.9316 | 0.9397 | 0.9356 | 116 | 0.9548 | 0.9367 | 0.9457 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9548 | 0.9548 | 0.9548 | 0.9901 |
|
145 |
+
| 0.0086 | 81.0 | 7776 | 0.0518 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9299 | 0.9241 | 0.9270 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9380 | 0.9497 | 0.9438 | 0.9901 |
|
146 |
+
| 0.0072 | 82.0 | 7872 | 0.0560 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9477 | 0.9177 | 0.9325 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.945 | 0.9497 | 0.9474 | 0.9896 |
|
147 |
+
| 0.008 | 83.0 | 7968 | 0.0515 | 0.9076 | 0.9310 | 0.9191 | 116 | 0.9548 | 0.9367 | 0.9457 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9475 | 0.9523 | 0.9499 | 0.9904 |
|
148 |
+
| 0.0062 | 84.0 | 8064 | 0.0530 | 0.9076 | 0.9310 | 0.9191 | 116 | 0.9613 | 0.9430 | 0.9521 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.95 | 0.9548 | 0.9524 | 0.9904 |
|
149 |
+
| 0.0071 | 85.0 | 8160 | 0.0524 | 0.9237 | 0.9397 | 0.9316 | 116 | 0.9673 | 0.9367 | 0.9518 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9547 | 0.9523 | 0.9535 | 0.9904 |
|
150 |
+
| 0.007 | 86.0 | 8256 | 0.0543 | 0.9231 | 0.9310 | 0.9270 | 116 | 0.9548 | 0.9367 | 0.9457 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9497 | 0.9497 | 0.9497 | 0.9907 |
|
151 |
+
| 0.0075 | 87.0 | 8352 | 0.0545 | 0.9237 | 0.9397 | 0.9316 | 116 | 0.9545 | 0.9304 | 0.9423 | 158 | 0.976 | 0.9839 | 0.9799 | 124 | 0.9521 | 0.9497 | 0.9509 | 0.9901 |
|
152 |
+
| 0.0085 | 88.0 | 8448 | 0.0537 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9608 | 0.9304 | 0.9453 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9548 | 0.9548 | 0.9548 | 0.9904 |
|
153 |
+
| 0.009 | 89.0 | 8544 | 0.0536 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9542 | 0.9241 | 0.9389 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9523 | 0.9523 | 0.9523 | 0.9904 |
|
154 |
+
| 0.0081 | 90.0 | 8640 | 0.0544 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9542 | 0.9241 | 0.9389 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9523 | 0.9523 | 0.9523 | 0.9901 |
|
155 |
+
| 0.0083 | 91.0 | 8736 | 0.0534 | 0.9322 | 0.9483 | 0.9402 | 116 | 0.9608 | 0.9304 | 0.9453 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9572 | 0.9548 | 0.9560 | 0.9907 |
|
156 |
+
| 0.0077 | 92.0 | 8832 | 0.0539 | 0.9322 | 0.9483 | 0.9402 | 116 | 0.9673 | 0.9367 | 0.9518 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9597 | 0.9573 | 0.9585 | 0.9907 |
|
157 |
+
| 0.0071 | 93.0 | 8928 | 0.0541 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9605 | 0.9241 | 0.9419 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9547 | 0.9523 | 0.9535 | 0.9901 |
|
158 |
+
| 0.0066 | 94.0 | 9024 | 0.0537 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9608 | 0.9304 | 0.9453 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9548 | 0.9548 | 0.9548 | 0.9904 |
|
159 |
+
| 0.0073 | 95.0 | 9120 | 0.0551 | 0.925 | 0.9569 | 0.9407 | 116 | 0.9671 | 0.9304 | 0.9484 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9573 | 0.9573 | 0.9573 | 0.9904 |
|
160 |
+
| 0.006 | 96.0 | 9216 | 0.0550 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9608 | 0.9304 | 0.9453 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9548 | 0.9548 | 0.9548 | 0.9904 |
|
161 |
+
| 0.0068 | 97.0 | 9312 | 0.0545 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9542 | 0.9241 | 0.9389 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9523 | 0.9523 | 0.9523 | 0.9901 |
|
162 |
+
| 0.0072 | 98.0 | 9408 | 0.0549 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9608 | 0.9304 | 0.9453 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9548 | 0.9548 | 0.9548 | 0.9904 |
|
163 |
+
| 0.0062 | 99.0 | 9504 | 0.0542 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9608 | 0.9304 | 0.9453 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9548 | 0.9548 | 0.9548 | 0.9907 |
|
164 |
+
| 0.0061 | 100.0 | 9600 | 0.0541 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9608 | 0.9304 | 0.9453 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9548 | 0.9548 | 0.9548 | 0.9907 |
|
165 |
+
|
166 |
+
|
167 |
+
### Framework versions
|
168 |
+
|
169 |
+
- Transformers 4.39.3
|
170 |
+
- Pytorch 2.3.0+cu121
|
171 |
+
- Datasets 2.19.1
|
172 |
+
- Tokenizers 0.15.2
|
nerui-pt/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": 30,
|
12 |
+
"shared_gating": true,
|
13 |
+
"use_gating": false
|
14 |
+
},
|
15 |
+
"config_id": "648bf22f5afeaaa6",
|
16 |
+
"hidden_size": 768,
|
17 |
+
"model_class": "BertForTokenClassification",
|
18 |
+
"model_name": "indolem/indobert-base-uncased",
|
19 |
+
"model_type": "bert",
|
20 |
+
"name": "nerui-pt",
|
21 |
+
"version": "0.2.0"
|
22 |
+
}
|
nerui-pt/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": "0.2.0"
|
19 |
+
}
|
nerui-pt/pytorch_adapter.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2834506dd4dac667f69ca3e6fb8d07227d833db53277de9765a6f1976196af24
|
3 |
+
size 39503700
|
nerui-pt/pytorch_model_head.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:44992bde0d77c9e235c6293f23e9daeb08e4571d537af6e8a36952c9144443e9
|
3 |
+
size 23066
|
runs/May28_16-46-47_indolem-petl-vm/events.out.tfevents.1716914814.indolem-petl-vm.121409.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cd038585f1e8d5179b9d9242c71e6f81966ae20f0a91d62bbb6985d37c1d9adc
|
3 |
+
size 148174
|