Hugging Face's logo

apwic
/
nerui-pt-pl10-1

TensorBoard
Indonesian
Generated from Trainer
Model card Files Metrics Community
apwic commited on
Commit
ea176d0
•
1 Parent(s): 495521e

Model save

Browse files
Files changed (6) hide show
  1. README.md +172 -0
  2. nerui-pt/adapter_config.json +22 -0
  3. nerui-pt/head_config.json +19 -0
  4. nerui-pt/pytorch_adapter.bin +3 -0
  5. nerui-pt/pytorch_model_head.bin +3 -0
  6. runs/May28_16-08-50_indolem-petl-vm/events.out.tfevents.1716912538.indolem-petl-vm.106878.0 +2 -2
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-pl10-1
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-pl10-1
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: 0.0479
19
+ - Location Precision: 0.9316
20
+ - Location Recall: 0.9397
21
+ - Location F1: 0.9356
22
+ - Location Number: 116
23
+ - Organization Precision: 0.9477
24
+ - Organization Recall: 0.9177
25
+ - Organization F1: 0.9325
26
+ - Organization Number: 158
27
+ - Person Precision: 0.9683
28
+ - Person Recall: 0.9839
29
+ - Person F1: 0.976
30
+ - Person Number: 124
31
+ - Overall Precision: 0.9495
32
+ - Overall Recall: 0.9447
33
+ - Overall F1: 0.9471
34
+ - Overall Accuracy: 0.9898
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
+ | 0.8279 | 1.0 | 96 | 0.3868 | 0.2857 | 0.0345 | 0.0615 | 116 | 0.2222 | 0.3797 | 0.2804 | 158 | 0.25 | 0.3065 | 0.2754 | 124 | 0.2339 | 0.2563 | 0.2446 | 0.8677 |
66
+ | 0.3613 | 2.0 | 192 | 0.2065 | 0.3721 | 0.4138 | 0.3918 | 116 | 0.5906 | 0.6392 | 0.6140 | 158 | 0.5141 | 0.7339 | 0.6047 | 124 | 0.5031 | 0.6030 | 0.5486 | 0.9347 |
67
+ | 0.1915 | 3.0 | 288 | 0.0954 | 0.8447 | 0.75 | 0.7945 | 116 | 0.7234 | 0.8608 | 0.7861 | 158 | 0.9242 | 0.9839 | 0.9531 | 124 | 0.8156 | 0.8668 | 0.8404 | 0.9704 |
68
+ | 0.1356 | 4.0 | 384 | 0.0816 | 0.7609 | 0.9052 | 0.8268 | 116 | 0.7977 | 0.8734 | 0.8338 | 158 | 0.9462 | 0.9919 | 0.9685 | 124 | 0.8299 | 0.9196 | 0.8725 | 0.9717 |
69
+ | 0.1094 | 5.0 | 480 | 0.0581 | 0.9009 | 0.8621 | 0.8811 | 116 | 0.8679 | 0.8734 | 0.8707 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9093 | 0.9070 | 0.9082 | 0.9811 |
70
+ | 0.1026 | 6.0 | 576 | 0.0524 | 0.8425 | 0.9224 | 0.8807 | 116 | 0.9452 | 0.8734 | 0.9079 | 158 | 0.9609 | 0.9919 | 0.9762 | 124 | 0.9177 | 0.9246 | 0.9212 | 0.9838 |
71
+ | 0.0877 | 7.0 | 672 | 0.0449 | 0.9091 | 0.8621 | 0.8850 | 116 | 0.8706 | 0.9367 | 0.9024 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9138 | 0.9322 | 0.9229 | 0.9844 |
72
+ | 0.0774 | 8.0 | 768 | 0.0418 | 0.9024 | 0.9569 | 0.9289 | 116 | 0.9236 | 0.9177 | 0.9206 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9335 | 0.9523 | 0.9428 | 0.9863 |
73
+ | 0.0735 | 9.0 | 864 | 0.0368 | 0.9 | 0.9310 | 0.9153 | 116 | 0.9207 | 0.9557 | 0.9379 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9317 | 0.9598 | 0.9455 | 0.9887 |
74
+ | 0.0657 | 10.0 | 960 | 0.0412 | 0.8926 | 0.9310 | 0.9114 | 116 | 0.9423 | 0.9304 | 0.9363 | 158 | 0.9462 | 0.9919 | 0.9685 | 124 | 0.9287 | 0.9497 | 0.9391 | 0.9865 |
75
+ | 0.0605 | 11.0 | 1056 | 0.0378 | 0.9174 | 0.9569 | 0.9367 | 116 | 0.9671 | 0.9304 | 0.9484 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9549 | 0.9573 | 0.9561 | 0.9898 |
76
+ | 0.0567 | 12.0 | 1152 | 0.0370 | 0.8824 | 0.9052 | 0.8936 | 116 | 0.9375 | 0.9494 | 0.9434 | 158 | 0.9609 | 0.9919 | 0.9762 | 124 | 0.9287 | 0.9497 | 0.9391 | 0.9882 |
77
+ | 0.0546 | 13.0 | 1248 | 0.0360 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9487 | 0.9367 | 0.9427 | 158 | 0.9385 | 0.9839 | 0.9606 | 124 | 0.9358 | 0.9523 | 0.9440 | 0.9898 |
78
+ | 0.0504 | 14.0 | 1344 | 0.0360 | 0.925 | 0.9569 | 0.9407 | 116 | 0.9671 | 0.9304 | 0.9484 | 158 | 0.9609 | 0.9919 | 0.9762 | 124 | 0.9525 | 0.9573 | 0.9549 | 0.9907 |
79
+ | 0.0484 | 15.0 | 1440 | 0.0369 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9610 | 0.9367 | 0.9487 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9501 | 0.9573 | 0.9537 | 0.9901 |
80
+ | 0.0449 | 16.0 | 1536 | 0.0340 | 0.8852 | 0.9310 | 0.9076 | 116 | 0.9671 | 0.9304 | 0.9484 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9425 | 0.9472 | 0.9449 | 0.9885 |
81
+ | 0.0432 | 17.0 | 1632 | 0.0353 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9608 | 0.9304 | 0.9453 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9548 | 0.9548 | 0.9548 | 0.9901 |
82
+ | 0.0427 | 18.0 | 1728 | 0.0387 | 0.904 | 0.9741 | 0.9378 | 116 | 0.9597 | 0.9051 | 0.9316 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9499 | 0.9523 | 0.9511 | 0.9885 |
83
+ | 0.0421 | 19.0 | 1824 | 0.0363 | 0.9561 | 0.9397 | 0.9478 | 116 | 0.9551 | 0.9430 | 0.9490 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9646 | 0.9573 | 0.9609 | 0.9898 |
84
+ | 0.0363 | 20.0 | 1920 | 0.0379 | 0.9402 | 0.9483 | 0.9442 | 116 | 0.9375 | 0.9494 | 0.9434 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9527 | 0.9623 | 0.9575 | 0.9893 |
85
+ | 0.0349 | 21.0 | 2016 | 0.0364 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9548 | 0.9367 | 0.9457 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9525 | 0.9573 | 0.9549 | 0.9898 |
86
+ | 0.0373 | 22.0 | 2112 | 0.0324 | 0.9483 | 0.9483 | 0.9483 | 116 | 0.9494 | 0.9494 | 0.9494 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9599 | 0.9623 | 0.9611 | 0.9918 |
87
+ | 0.0331 | 23.0 | 2208 | 0.0345 | 0.9310 | 0.9310 | 0.9310 | 116 | 0.9490 | 0.9430 | 0.9460 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9548 | 0.9548 | 0.9548 | 0.9901 |
88
+ | 0.0317 | 24.0 | 2304 | 0.0406 | 0.925 | 0.9569 | 0.9407 | 116 | 0.9551 | 0.9430 | 0.9490 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9527 | 0.9623 | 0.9575 | 0.9890 |
89
+ | 0.0328 | 25.0 | 2400 | 0.0368 | 0.9322 | 0.9483 | 0.9402 | 116 | 0.9474 | 0.9114 | 0.9290 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9544 | 0.9472 | 0.9508 | 0.9898 |
90
+ | 0.0299 | 26.0 | 2496 | 0.0364 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9545 | 0.9304 | 0.9423 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9524 | 0.9548 | 0.9536 | 0.9907 |
91
+ | 0.0314 | 27.0 | 2592 | 0.0386 | 0.9483 | 0.9483 | 0.9483 | 116 | 0.9484 | 0.9304 | 0.9393 | 158 | 0.9609 | 0.9919 | 0.9762 | 124 | 0.9524 | 0.9548 | 0.9536 | 0.9907 |
92
+ | 0.0297 | 28.0 | 2688 | 0.0392 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9412 | 0.9114 | 0.9260 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9447 | 0.9447 | 0.9447 | 0.9887 |
93
+ | 0.0263 | 29.0 | 2784 | 0.0401 | 0.8810 | 0.9569 | 0.9174 | 116 | 0.9295 | 0.9177 | 0.9236 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9312 | 0.9523 | 0.9416 | 0.9890 |
94
+ | 0.026 | 30.0 | 2880 | 0.0483 | 0.9316 | 0.9397 | 0.9356 | 116 | 0.9317 | 0.9494 | 0.9404 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9455 | 0.9598 | 0.9526 | 0.9887 |
95
+ | 0.0271 | 31.0 | 2976 | 0.0421 | 0.8934 | 0.9397 | 0.9160 | 116 | 0.9187 | 0.9304 | 0.9245 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9289 | 0.9523 | 0.9404 | 0.9874 |
96
+ | 0.0263 | 32.0 | 3072 | 0.0404 | 0.9153 | 0.9310 | 0.9231 | 116 | 0.9673 | 0.9367 | 0.9518 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9571 | 0.9523 | 0.9547 | 0.9896 |
97
+ | 0.0255 | 33.0 | 3168 | 0.0429 | 0.9153 | 0.9310 | 0.9231 | 116 | 0.9542 | 0.9241 | 0.9389 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9520 | 0.9472 | 0.9496 | 0.9896 |
98
+ | 0.0256 | 34.0 | 3264 | 0.0402 | 0.9397 | 0.9397 | 0.9397 | 116 | 0.9367 | 0.9367 | 0.9367 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.95 | 0.9548 | 0.9524 | 0.9896 |
99
+ | 0.0202 | 35.0 | 3360 | 0.0407 | 0.9304 | 0.9224 | 0.9264 | 116 | 0.9375 | 0.9494 | 0.9434 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9453 | 0.9548 | 0.95 | 0.9904 |
100
+ | 0.0232 | 36.0 | 3456 | 0.0391 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9608 | 0.9304 | 0.9453 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9524 | 0.9548 | 0.9536 | 0.9898 |
101
+ | 0.0216 | 37.0 | 3552 | 0.0351 | 0.9153 | 0.9310 | 0.9231 | 116 | 0.9490 | 0.9430 | 0.9460 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9476 | 0.9548 | 0.9512 | 0.9898 |
102
+ | 0.0218 | 38.0 | 3648 | 0.0353 | 0.9304 | 0.9224 | 0.9264 | 116 | 0.9494 | 0.9494 | 0.9494 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9524 | 0.9548 | 0.9536 | 0.9909 |
103
+ | 0.0193 | 39.0 | 3744 | 0.0407 | 0.9237 | 0.9397 | 0.9316 | 116 | 0.9481 | 0.9241 | 0.9359 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9497 | 0.9497 | 0.9497 | 0.9904 |
104
+ | 0.0214 | 40.0 | 3840 | 0.0386 | 0.9483 | 0.9483 | 0.9483 | 116 | 0.9742 | 0.9557 | 0.9649 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9648 | 0.9648 | 0.9648 | 0.9918 |
105
+ | 0.0201 | 41.0 | 3936 | 0.0369 | 0.9237 | 0.9397 | 0.9316 | 116 | 0.9490 | 0.9430 | 0.9460 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9478 | 0.9573 | 0.9525 | 0.9901 |
106
+ | 0.0193 | 42.0 | 4032 | 0.0399 | 0.9322 | 0.9483 | 0.9402 | 116 | 0.9548 | 0.9367 | 0.9457 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9573 | 0.9573 | 0.9573 | 0.9901 |
107
+ | 0.0198 | 43.0 | 4128 | 0.0393 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9675 | 0.9430 | 0.9551 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9598 | 0.9598 | 0.9598 | 0.9915 |
108
+ | 0.0195 | 44.0 | 4224 | 0.0413 | 0.9076 | 0.9310 | 0.9191 | 116 | 0.9477 | 0.9177 | 0.9325 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9447 | 0.9447 | 0.9447 | 0.9896 |
109
+ | 0.0173 | 45.0 | 4320 | 0.0384 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9477 | 0.9177 | 0.9325 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9497 | 0.9497 | 0.9497 | 0.9898 |
110
+ | 0.0199 | 46.0 | 4416 | 0.0408 | 0.9016 | 0.9483 | 0.9244 | 116 | 0.9671 | 0.9304 | 0.9484 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9524 | 0.9548 | 0.9536 | 0.9904 |
111
+ | 0.0183 | 47.0 | 4512 | 0.0361 | 0.9402 | 0.9483 | 0.9442 | 116 | 0.9554 | 0.9494 | 0.9524 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9551 | 0.9623 | 0.9587 | 0.9912 |
112
+ | 0.0194 | 48.0 | 4608 | 0.0444 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9548 | 0.9367 | 0.9457 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9549 | 0.9573 | 0.9561 | 0.9893 |
113
+ | 0.0158 | 49.0 | 4704 | 0.0417 | 0.9237 | 0.9397 | 0.9316 | 116 | 0.9542 | 0.9241 | 0.9389 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9497 | 0.9497 | 0.9497 | 0.9898 |
114
+ | 0.0159 | 50.0 | 4800 | 0.0441 | 0.9322 | 0.9483 | 0.9402 | 116 | 0.9484 | 0.9304 | 0.9393 | 158 | 0.976 | 0.9839 | 0.9799 | 124 | 0.9523 | 0.9523 | 0.9523 | 0.9890 |
115
+ | 0.0147 | 51.0 | 4896 | 0.0449 | 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 | 0.9885 |
116
+ | 0.0161 | 52.0 | 4992 | 0.0544 | 0.9060 | 0.9138 | 0.9099 | 116 | 0.9669 | 0.9241 | 0.9450 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9518 | 0.9422 | 0.9470 | 0.9874 |
117
+ | 0.0157 | 53.0 | 5088 | 0.0422 | 0.9076 | 0.9310 | 0.9191 | 116 | 0.9419 | 0.9241 | 0.9329 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9401 | 0.9472 | 0.9437 | 0.9893 |
118
+ | 0.0163 | 54.0 | 5184 | 0.0470 | 0.9068 | 0.9224 | 0.9145 | 116 | 0.9367 | 0.9367 | 0.9367 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9403 | 0.9497 | 0.9450 | 0.9887 |
119
+ | 0.0158 | 55.0 | 5280 | 0.0436 | 0.9231 | 0.9310 | 0.9270 | 116 | 0.9125 | 0.9241 | 0.9182 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9332 | 0.9472 | 0.9401 | 0.9890 |
120
+ | 0.016 | 56.0 | 5376 | 0.0449 | 0.9237 | 0.9397 | 0.9316 | 116 | 0.9236 | 0.9177 | 0.9206 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9401 | 0.9472 | 0.9437 | 0.9887 |
121
+ | 0.0148 | 57.0 | 5472 | 0.0447 | 0.9316 | 0.9397 | 0.9356 | 116 | 0.9114 | 0.9114 | 0.9114 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9353 | 0.9447 | 0.94 | 0.9887 |
122
+ | 0.015 | 58.0 | 5568 | 0.0446 | 0.9237 | 0.9397 | 0.9316 | 116 | 0.9536 | 0.9114 | 0.9320 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9519 | 0.9447 | 0.9483 | 0.9898 |
123
+ | 0.0145 | 59.0 | 5664 | 0.0426 | 0.9402 | 0.9483 | 0.9442 | 116 | 0.9236 | 0.9177 | 0.9206 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.945 | 0.9497 | 0.9474 | 0.9898 |
124
+ | 0.0142 | 60.0 | 5760 | 0.0441 | 0.9573 | 0.9655 | 0.9614 | 116 | 0.9423 | 0.9304 | 0.9363 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9598 | 0.9598 | 0.9598 | 0.9912 |
125
+ | 0.0127 | 61.0 | 5856 | 0.0461 | 0.9487 | 0.9569 | 0.9528 | 116 | 0.9367 | 0.9367 | 0.9367 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9502 | 0.9598 | 0.9550 | 0.9909 |
126
+ | 0.0131 | 62.0 | 5952 | 0.0470 | 0.9316 | 0.9397 | 0.9356 | 116 | 0.9419 | 0.9241 | 0.9329 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9474 | 0.9497 | 0.9486 | 0.9896 |
127
+ | 0.0137 | 63.0 | 6048 | 0.0427 | 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 | 0.9912 |
128
+ | 0.0117 | 64.0 | 6144 | 0.0469 | 0.9561 | 0.9397 | 0.9478 | 116 | 0.9245 | 0.9304 | 0.9274 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9474 | 0.9497 | 0.9486 | 0.9904 |
129
+ | 0.0131 | 65.0 | 6240 | 0.0437 | 0.9256 | 0.9655 | 0.9451 | 116 | 0.9226 | 0.9051 | 0.9137 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9380 | 0.9497 | 0.9438 | 0.9898 |
130
+ | 0.0132 | 66.0 | 6336 | 0.0435 | 0.9565 | 0.9483 | 0.9524 | 116 | 0.9412 | 0.9114 | 0.9260 | 158 | 0.9609 | 0.9919 | 0.9762 | 124 | 0.9520 | 0.9472 | 0.9496 | 0.9901 |
131
+ | 0.0117 | 67.0 | 6432 | 0.0413 | 0.9328 | 0.9569 | 0.9447 | 116 | 0.9172 | 0.9114 | 0.9143 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9378 | 0.9472 | 0.9425 | 0.9898 |
132
+ | 0.0124 | 68.0 | 6528 | 0.0440 | 0.9328 | 0.9569 | 0.9447 | 116 | 0.9545 | 0.9304 | 0.9423 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9525 | 0.9573 | 0.9549 | 0.9907 |
133
+ | 0.0122 | 69.0 | 6624 | 0.0427 | 0.9558 | 0.9310 | 0.9432 | 116 | 0.9367 | 0.9367 | 0.9367 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9523 | 0.9523 | 0.9523 | 0.9907 |
134
+ | 0.0105 | 70.0 | 6720 | 0.0465 | 0.9153 | 0.9310 | 0.9231 | 116 | 0.9416 | 0.9177 | 0.9295 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9422 | 0.9422 | 0.9422 | 0.9887 |
135
+ | 0.0115 | 71.0 | 6816 | 0.0467 | 0.9569 | 0.9569 | 0.9569 | 116 | 0.9539 | 0.9177 | 0.9355 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9594 | 0.9497 | 0.9545 | 0.9904 |
136
+ | 0.01 | 72.0 | 6912 | 0.0480 | 0.9316 | 0.9397 | 0.9356 | 116 | 0.9542 | 0.9241 | 0.9389 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9520 | 0.9472 | 0.9496 | 0.9907 |
137
+ | 0.0112 | 73.0 | 7008 | 0.0464 | 0.9322 | 0.9483 | 0.9402 | 116 | 0.9539 | 0.9177 | 0.9355 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9520 | 0.9472 | 0.9496 | 0.9904 |
138
+ | 0.0104 | 74.0 | 7104 | 0.0475 | 0.9397 | 0.9397 | 0.9397 | 116 | 0.9673 | 0.9367 | 0.9518 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9595 | 0.9523 | 0.9559 | 0.9904 |
139
+ | 0.0103 | 75.0 | 7200 | 0.0518 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9536 | 0.9114 | 0.9320 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9471 | 0.9447 | 0.9459 | 0.9890 |
140
+ | 0.0106 | 76.0 | 7296 | 0.0484 | 0.9322 | 0.9483 | 0.9402 | 116 | 0.9539 | 0.9177 | 0.9355 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9520 | 0.9472 | 0.9496 | 0.9901 |
141
+ | 0.0099 | 77.0 | 7392 | 0.0491 | 0.925 | 0.9569 | 0.9407 | 116 | 0.9470 | 0.9051 | 0.9256 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9471 | 0.9447 | 0.9459 | 0.9893 |
142
+ | 0.0097 | 78.0 | 7488 | 0.0462 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9536 | 0.9114 | 0.9320 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9495 | 0.9447 | 0.9471 | 0.9898 |
143
+ | 0.0086 | 79.0 | 7584 | 0.0451 | 0.9310 | 0.9310 | 0.9310 | 116 | 0.9419 | 0.9241 | 0.9329 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9471 | 0.9447 | 0.9459 | 0.9901 |
144
+ | 0.0094 | 80.0 | 7680 | 0.0496 | 0.9231 | 0.9310 | 0.9270 | 116 | 0.9474 | 0.9114 | 0.9290 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9468 | 0.9397 | 0.9433 | 0.9887 |
145
+ | 0.0079 | 81.0 | 7776 | 0.0452 | 0.9478 | 0.9397 | 0.9437 | 116 | 0.9542 | 0.9241 | 0.9389 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9569 | 0.9472 | 0.9520 | 0.9901 |
146
+ | 0.0075 | 82.0 | 7872 | 0.0472 | 0.9478 | 0.9397 | 0.9437 | 116 | 0.9539 | 0.9177 | 0.9355 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9567 | 0.9447 | 0.9507 | 0.9901 |
147
+ | 0.0083 | 83.0 | 7968 | 0.0510 | 0.9483 | 0.9483 | 0.9483 | 116 | 0.9412 | 0.9114 | 0.9260 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9519 | 0.9447 | 0.9483 | 0.9898 |
148
+ | 0.0085 | 84.0 | 8064 | 0.0474 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9355 | 0.9177 | 0.9265 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9425 | 0.9472 | 0.9449 | 0.9901 |
149
+ | 0.0085 | 85.0 | 8160 | 0.0480 | 0.9310 | 0.9310 | 0.9310 | 116 | 0.9419 | 0.9241 | 0.9329 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9471 | 0.9447 | 0.9459 | 0.9898 |
150
+ | 0.0092 | 86.0 | 8256 | 0.0472 | 0.9316 | 0.9397 | 0.9356 | 116 | 0.9477 | 0.9177 | 0.9325 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9495 | 0.9447 | 0.9471 | 0.9893 |
151
+ | 0.0083 | 87.0 | 8352 | 0.0464 | 0.9402 | 0.9483 | 0.9442 | 116 | 0.9477 | 0.9177 | 0.9325 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9520 | 0.9472 | 0.9496 | 0.9904 |
152
+ | 0.0081 | 88.0 | 8448 | 0.0442 | 0.9328 | 0.9569 | 0.9447 | 116 | 0.9355 | 0.9177 | 0.9265 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.945 | 0.9497 | 0.9474 | 0.9909 |
153
+ | 0.0085 | 89.0 | 8544 | 0.0436 | 0.9237 | 0.9397 | 0.9316 | 116 | 0.9295 | 0.9177 | 0.9236 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.94 | 0.9447 | 0.9424 | 0.9904 |
154
+ | 0.0092 | 90.0 | 8640 | 0.0458 | 0.9412 | 0.9655 | 0.9532 | 116 | 0.9412 | 0.9114 | 0.9260 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9497 | 0.9497 | 0.9497 | 0.9907 |
155
+ | 0.0087 | 91.0 | 8736 | 0.0473 | 0.9474 | 0.9310 | 0.9391 | 116 | 0.9416 | 0.9177 | 0.9295 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9518 | 0.9422 | 0.9470 | 0.9896 |
156
+ | 0.0084 | 92.0 | 8832 | 0.0475 | 0.9397 | 0.9397 | 0.9397 | 116 | 0.9481 | 0.9241 | 0.9359 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9520 | 0.9472 | 0.9496 | 0.9904 |
157
+ | 0.0087 | 93.0 | 8928 | 0.0472 | 0.9402 | 0.9483 | 0.9442 | 116 | 0.9351 | 0.9114 | 0.9231 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9471 | 0.9447 | 0.9459 | 0.9901 |
158
+ | 0.008 | 94.0 | 9024 | 0.0460 | 0.9237 | 0.9397 | 0.9316 | 116 | 0.9355 | 0.9177 | 0.9265 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9424 | 0.9447 | 0.9435 | 0.9901 |
159
+ | 0.0075 | 95.0 | 9120 | 0.0459 | 0.9322 | 0.9483 | 0.9402 | 116 | 0.9355 | 0.9177 | 0.9265 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9449 | 0.9472 | 0.9460 | 0.9901 |
160
+ | 0.0088 | 96.0 | 9216 | 0.0472 | 0.9322 | 0.9483 | 0.9402 | 116 | 0.9477 | 0.9177 | 0.9325 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9496 | 0.9472 | 0.9484 | 0.9898 |
161
+ | 0.0079 | 97.0 | 9312 | 0.0472 | 0.9237 | 0.9397 | 0.9316 | 116 | 0.9477 | 0.9177 | 0.9325 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9471 | 0.9447 | 0.9459 | 0.9898 |
162
+ | 0.0075 | 98.0 | 9408 | 0.0479 | 0.9322 | 0.9483 | 0.9402 | 116 | 0.9477 | 0.9177 | 0.9325 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9496 | 0.9472 | 0.9484 | 0.9901 |
163
+ | 0.0075 | 99.0 | 9504 | 0.0479 | 0.9316 | 0.9397 | 0.9356 | 116 | 0.9477 | 0.9177 | 0.9325 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9495 | 0.9447 | 0.9471 | 0.9898 |
164
+ | 0.0079 | 100.0 | 9600 | 0.0479 | 0.9316 | 0.9397 | 0.9356 | 116 | 0.9477 | 0.9177 | 0.9325 | 158 | 0.9683 | 0.9839 | 0.976 | 124 | 0.9495 | 0.9447 | 0.9471 | 0.9898 |
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": 10,
12
+ "shared_gating": true,
13
+ "use_gating": false
14
+ },
15
+ "config_id": "e21f5a7ac06e3fee",
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:a7d53b1755145cdf435989dfad28a1518254916291d39a0226d3b5ba6d9c22db
3
+ size 39442260
nerui-pt/pytorch_model_head.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:440f71d661f6f613cce2dc00f66bae0a4c237ca1a24d7d11616d737150ffae88
3
+ size 23066
runs/May28_16-08-50_indolem-petl-vm/events.out.tfevents.1716912538.indolem-petl-vm.106878.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:45e788150805b212a64eab26a79ccda604a7767d79c2ceed6a7a9c5470c03093
3
- size 146392
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:905666b7afd03026faa316871ddb330ab2f06bab34afef5018709cf27c0bfb8f
3
+ size 148174