Model save
Browse files- README.md +180 -0
- adapter-ner/adapter_config.json +42 -0
- adapter-ner/head_config.json +23 -0
- adapter-ner/pytorch_adapter.bin +3 -0
- adapter-ner/pytorch_model_head.bin +3 -0
README.md
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---
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license: mit
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base_model: indolem/indobert-base-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: nerugm-seq_bn-rf64-0
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# nerugm-seq_bn-rf64-0
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This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1286
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- Location Precision: 0.8077
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- Location Recall: 0.9130
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- Location F1: 0.8571
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- Location Number: 69
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- Organization Precision: 0.7231
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- Organization Recall: 0.8103
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- Organization F1: 0.7642
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- Organization Number: 58
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- Person Precision: 0.8415
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- Person Recall: 0.9079
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- Person F1: 0.8734
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- Person Number: 152
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- Quantity Precision: 0.7143
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- Quantity Recall: 0.8333
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- Quantity F1: 0.7692
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- Quantity Number: 30
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- Time Precision: 0.7742
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- Time Recall: 0.8276
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- Time F1: 0.8000
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- Time Number: 29
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- Overall Precision: 0.7962
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- Overall Recall: 0.8787
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- Overall F1: 0.8354
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- Overall Accuracy: 0.9624
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 100.0
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### Training results
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| 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 | Quantity Precision | Quantity Recall | Quantity F1 | Quantity Number | Time Precision | Time Recall | Time F1 | Time Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:------------------:|:---------------:|:-----------:|:---------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:----------------:|:-------------:|:---------:|:-------------:|:------------------:|:---------------:|:-----------:|:---------------:|:--------------:|:-----------:|:-------:|:-----------:|:-----------------:|:--------------:|:----------:|:----------------:|
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| 1.1468 | 1.0 | 106 | 0.6909 | 0.0 | 0.0 | 0.0 | 69 | 0.0 | 0.0 | 0.0 | 58 | 0.0 | 0.0 | 0.0 | 152 | 0.0 | 0.0 | 0.0 | 30 | 0.0 | 0.0 | 0.0 | 29 | 0.0 | 0.0 | 0.0 | 0.8397 |
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| 0.6623 | 2.0 | 212 | 0.5532 | 0.0 | 0.0 | 0.0 | 69 | 0.0 | 0.0 | 0.0 | 58 | 0.3889 | 0.0461 | 0.0824 | 152 | 0.0 | 0.0 | 0.0 | 30 | 0.0 | 0.0 | 0.0 | 29 | 0.3684 | 0.0207 | 0.0392 | 0.8433 |
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| 0.5401 | 3.0 | 318 | 0.4444 | 0.2857 | 0.0290 | 0.0526 | 69 | 0.0 | 0.0 | 0.0 | 58 | 0.4109 | 0.3487 | 0.3772 | 152 | 0.0 | 0.0 | 0.0 | 30 | 0.4 | 0.2069 | 0.2727 | 29 | 0.3675 | 0.1805 | 0.2421 | 0.8748 |
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| 0.4414 | 4.0 | 424 | 0.3588 | 0.4048 | 0.2464 | 0.3063 | 69 | 0.0312 | 0.0172 | 0.0222 | 58 | 0.4831 | 0.6579 | 0.5571 | 152 | 0.0 | 0.0 | 0.0 | 30 | 0.5385 | 0.4828 | 0.5091 | 29 | 0.4049 | 0.3905 | 0.3976 | 0.8988 |
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| 0.3745 | 5.0 | 530 | 0.3119 | 0.4706 | 0.4638 | 0.4672 | 69 | 0.2 | 0.1379 | 0.1633 | 58 | 0.57 | 0.75 | 0.6477 | 152 | 0.2941 | 0.3333 | 0.3125 | 30 | 0.5625 | 0.6207 | 0.5902 | 29 | 0.4866 | 0.5385 | 0.5112 | 0.9157 |
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| 0.3306 | 6.0 | 636 | 0.2751 | 0.5172 | 0.6522 | 0.5769 | 69 | 0.4444 | 0.3448 | 0.3883 | 58 | 0.6119 | 0.8092 | 0.6969 | 152 | 0.3684 | 0.4667 | 0.4118 | 30 | 0.7931 | 0.7931 | 0.7931 | 29 | 0.5625 | 0.6657 | 0.6098 | 0.9270 |
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| 0.2898 | 7.0 | 742 | 0.2449 | 0.5730 | 0.7391 | 0.6456 | 69 | 0.5319 | 0.4310 | 0.4762 | 58 | 0.6878 | 0.8553 | 0.7625 | 152 | 0.45 | 0.6 | 0.5143 | 30 | 0.8276 | 0.8276 | 0.8276 | 29 | 0.6294 | 0.7337 | 0.6776 | 0.9347 |
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| 0.2565 | 8.0 | 848 | 0.2217 | 0.5778 | 0.7536 | 0.6541 | 69 | 0.4667 | 0.4828 | 0.4746 | 58 | 0.7043 | 0.8618 | 0.7751 | 152 | 0.4286 | 0.6 | 0.5 | 30 | 0.8571 | 0.8276 | 0.8421 | 29 | 0.6232 | 0.7485 | 0.6801 | 0.9357 |
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| 0.2355 | 9.0 | 954 | 0.1979 | 0.6322 | 0.7971 | 0.7051 | 69 | 0.4815 | 0.4483 | 0.4643 | 58 | 0.7389 | 0.875 | 0.8012 | 152 | 0.4186 | 0.6 | 0.4932 | 30 | 0.8571 | 0.8276 | 0.8421 | 29 | 0.6531 | 0.7574 | 0.7014 | 0.9414 |
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| 0.2102 | 10.0 | 1060 | 0.1812 | 0.6588 | 0.8116 | 0.7273 | 69 | 0.4821 | 0.4655 | 0.4737 | 58 | 0.7586 | 0.8684 | 0.8098 | 152 | 0.45 | 0.6 | 0.5143 | 30 | 0.8571 | 0.8276 | 0.8421 | 29 | 0.6710 | 0.7604 | 0.7129 | 0.9442 |
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| 0.1959 | 11.0 | 1166 | 0.1784 | 0.6333 | 0.8261 | 0.7170 | 69 | 0.4677 | 0.5 | 0.4833 | 58 | 0.7374 | 0.8684 | 0.7976 | 152 | 0.475 | 0.6333 | 0.5429 | 30 | 0.8387 | 0.8966 | 0.8667 | 29 | 0.6542 | 0.7781 | 0.7108 | 0.9442 |
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| 0.1851 | 12.0 | 1272 | 0.1628 | 0.6951 | 0.8261 | 0.7550 | 69 | 0.5 | 0.5 | 0.5 | 58 | 0.7586 | 0.8684 | 0.8098 | 152 | 0.475 | 0.6333 | 0.5429 | 30 | 0.8333 | 0.8621 | 0.8475 | 29 | 0.6823 | 0.7751 | 0.7258 | 0.9478 |
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| 0.1722 | 13.0 | 1378 | 0.1580 | 0.7108 | 0.8551 | 0.7763 | 69 | 0.4912 | 0.4828 | 0.4870 | 58 | 0.7458 | 0.8684 | 0.8024 | 152 | 0.5789 | 0.7333 | 0.6471 | 30 | 0.8387 | 0.8966 | 0.8667 | 29 | 0.6917 | 0.7899 | 0.7376 | 0.9478 |
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| 0.1681 | 14.0 | 1484 | 0.1604 | 0.6905 | 0.8406 | 0.7582 | 69 | 0.5070 | 0.6207 | 0.5581 | 58 | 0.7674 | 0.8684 | 0.8148 | 152 | 0.6410 | 0.8333 | 0.7246 | 30 | 0.8065 | 0.8621 | 0.8333 | 29 | 0.6952 | 0.8166 | 0.7510 | 0.9496 |
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| 0.1581 | 15.0 | 1590 | 0.1485 | 0.7195 | 0.8551 | 0.7815 | 69 | 0.5323 | 0.5690 | 0.5500 | 58 | 0.7751 | 0.8618 | 0.8162 | 152 | 0.6486 | 0.8 | 0.7164 | 30 | 0.8333 | 0.8621 | 0.8475 | 29 | 0.7158 | 0.8047 | 0.7577 | 0.9521 |
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| 0.1542 | 16.0 | 1696 | 0.1461 | 0.7564 | 0.8551 | 0.8027 | 69 | 0.5522 | 0.6379 | 0.5920 | 58 | 0.7706 | 0.8618 | 0.8137 | 152 | 0.5833 | 0.7 | 0.6364 | 30 | 0.8667 | 0.8966 | 0.8814 | 29 | 0.7192 | 0.8107 | 0.7622 | 0.9524 |
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| 0.1528 | 17.0 | 1802 | 0.1484 | 0.7143 | 0.8696 | 0.7843 | 69 | 0.5469 | 0.6034 | 0.5738 | 58 | 0.7630 | 0.8684 | 0.8123 | 152 | 0.6410 | 0.8333 | 0.7246 | 30 | 0.7353 | 0.8621 | 0.7937 | 29 | 0.7030 | 0.8195 | 0.7568 | 0.9519 |
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| 0.1498 | 18.0 | 1908 | 0.1472 | 0.7059 | 0.8696 | 0.7792 | 69 | 0.5410 | 0.5690 | 0.5546 | 58 | 0.7644 | 0.875 | 0.8160 | 152 | 0.6154 | 0.8 | 0.6957 | 30 | 0.7576 | 0.8621 | 0.8065 | 29 | 0.7015 | 0.8136 | 0.7534 | 0.9498 |
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| 0.1439 | 19.0 | 2014 | 0.1406 | 0.7407 | 0.8696 | 0.8000 | 69 | 0.5536 | 0.5345 | 0.5439 | 58 | 0.7751 | 0.8618 | 0.8162 | 152 | 0.6579 | 0.8333 | 0.7353 | 30 | 0.8125 | 0.8966 | 0.8525 | 29 | 0.7261 | 0.8077 | 0.7647 | 0.9526 |
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| 0.141 | 20.0 | 2120 | 0.1405 | 0.7531 | 0.8841 | 0.8133 | 69 | 0.5645 | 0.6034 | 0.5833 | 58 | 0.7811 | 0.8684 | 0.8224 | 152 | 0.6579 | 0.8333 | 0.7353 | 30 | 0.7576 | 0.8621 | 0.8065 | 29 | 0.7258 | 0.8225 | 0.7712 | 0.9547 |
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| 0.1371 | 21.0 | 2226 | 0.1442 | 0.7470 | 0.8986 | 0.8158 | 69 | 0.56 | 0.7241 | 0.6316 | 58 | 0.7778 | 0.875 | 0.8235 | 152 | 0.6316 | 0.8 | 0.7059 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.7168 | 0.8462 | 0.7761 | 0.9539 |
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| 0.1341 | 22.0 | 2332 | 0.1365 | 0.7561 | 0.8986 | 0.8212 | 69 | 0.5493 | 0.6724 | 0.6047 | 58 | 0.7857 | 0.8684 | 0.825 | 152 | 0.6486 | 0.8 | 0.7164 | 30 | 0.8125 | 0.8966 | 0.8525 | 29 | 0.7256 | 0.8373 | 0.7775 | 0.9565 |
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| 0.1304 | 23.0 | 2438 | 0.1390 | 0.7625 | 0.8841 | 0.8188 | 69 | 0.5714 | 0.6897 | 0.625 | 58 | 0.7836 | 0.8816 | 0.8297 | 152 | 0.6579 | 0.8333 | 0.7353 | 30 | 0.8125 | 0.8966 | 0.8525 | 29 | 0.7315 | 0.8462 | 0.7846 | 0.9552 |
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| 0.1318 | 24.0 | 2544 | 0.1461 | 0.7381 | 0.8986 | 0.8105 | 69 | 0.6 | 0.7241 | 0.6562 | 58 | 0.7684 | 0.8947 | 0.8267 | 152 | 0.6154 | 0.8 | 0.6957 | 30 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7111 | 0.8521 | 0.7752 | 0.9513 |
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| 0.1283 | 25.0 | 2650 | 0.1371 | 0.7654 | 0.8986 | 0.8267 | 69 | 0.5915 | 0.7241 | 0.6512 | 58 | 0.8193 | 0.8947 | 0.8553 | 152 | 0.6316 | 0.8 | 0.7059 | 30 | 0.7059 | 0.8276 | 0.7619 | 29 | 0.7385 | 0.8521 | 0.7912 | 0.9565 |
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| 0.1235 | 26.0 | 2756 | 0.1399 | 0.7654 | 0.8986 | 0.8267 | 69 | 0.6087 | 0.7241 | 0.6614 | 58 | 0.7919 | 0.9013 | 0.8431 | 152 | 0.6579 | 0.8333 | 0.7353 | 30 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7323 | 0.8580 | 0.7902 | 0.9554 |
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| 0.1227 | 27.0 | 2862 | 0.1340 | 0.775 | 0.8986 | 0.8322 | 69 | 0.6207 | 0.6207 | 0.6207 | 58 | 0.8095 | 0.8947 | 0.8500 | 152 | 0.6486 | 0.8 | 0.7164 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.7547 | 0.8373 | 0.7938 | 0.9560 |
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| 0.1237 | 28.0 | 2968 | 0.1343 | 0.775 | 0.8986 | 0.8322 | 69 | 0.6094 | 0.6724 | 0.6393 | 58 | 0.8204 | 0.9013 | 0.8589 | 152 | 0.6944 | 0.8333 | 0.7576 | 30 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.7553 | 0.8491 | 0.7994 | 0.9575 |
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| 0.1185 | 29.0 | 3074 | 0.1334 | 0.7875 | 0.9130 | 0.8456 | 69 | 0.6271 | 0.6379 | 0.6325 | 58 | 0.8204 | 0.9013 | 0.8589 | 152 | 0.6857 | 0.8 | 0.7385 | 30 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.7620 | 0.8432 | 0.8006 | 0.9575 |
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| 0.1188 | 30.0 | 3180 | 0.1292 | 0.7848 | 0.8986 | 0.8378 | 69 | 0.6190 | 0.6724 | 0.6446 | 58 | 0.8182 | 0.8882 | 0.8517 | 152 | 0.6857 | 0.8 | 0.7385 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.7620 | 0.8432 | 0.8006 | 0.9583 |
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| 0.1157 | 31.0 | 3286 | 0.1296 | 0.775 | 0.8986 | 0.8322 | 69 | 0.5902 | 0.6207 | 0.6050 | 58 | 0.7988 | 0.8882 | 0.8411 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.7460 | 0.8343 | 0.7877 | 0.9580 |
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104 |
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| 0.1159 | 32.0 | 3392 | 0.1288 | 0.7848 | 0.8986 | 0.8378 | 69 | 0.5968 | 0.6379 | 0.6167 | 58 | 0.8072 | 0.8816 | 0.8428 | 152 | 0.6857 | 0.8 | 0.7385 | 30 | 0.8065 | 0.8621 | 0.8333 | 29 | 0.7560 | 0.8343 | 0.7932 | 0.9583 |
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| 0.1156 | 33.0 | 3498 | 0.1296 | 0.7975 | 0.9130 | 0.8514 | 69 | 0.6032 | 0.6552 | 0.6281 | 58 | 0.8110 | 0.875 | 0.8418 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.75 | 0.8276 | 0.7869 | 29 | 0.7587 | 0.8373 | 0.7961 | 0.9583 |
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| 0.1105 | 34.0 | 3604 | 0.1348 | 0.7949 | 0.8986 | 0.8435 | 69 | 0.6104 | 0.8103 | 0.6963 | 58 | 0.8242 | 0.8947 | 0.8580 | 152 | 0.6757 | 0.8333 | 0.7463 | 30 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.7538 | 0.8698 | 0.8077 | 0.9588 |
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| 0.1116 | 35.0 | 3710 | 0.1331 | 0.7975 | 0.9130 | 0.8514 | 69 | 0.6333 | 0.6552 | 0.6441 | 58 | 0.8095 | 0.8947 | 0.8500 | 152 | 0.6154 | 0.8 | 0.6957 | 30 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.7520 | 0.8432 | 0.7950 | 0.9572 |
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| 0.1115 | 36.0 | 3816 | 0.1310 | 0.7975 | 0.9130 | 0.8514 | 69 | 0.6094 | 0.6724 | 0.6393 | 58 | 0.8121 | 0.8816 | 0.8454 | 152 | 0.6579 | 0.8333 | 0.7353 | 30 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.7520 | 0.8432 | 0.7950 | 0.9575 |
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| 0.1102 | 37.0 | 3922 | 0.1351 | 0.7875 | 0.9130 | 0.8456 | 69 | 0.6719 | 0.7414 | 0.7049 | 58 | 0.8084 | 0.8882 | 0.8464 | 152 | 0.6410 | 0.8333 | 0.7246 | 30 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.7572 | 0.8580 | 0.8044 | 0.9590 |
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| 0.1082 | 38.0 | 4028 | 0.1363 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.6528 | 0.8103 | 0.7231 | 58 | 0.8155 | 0.9013 | 0.8562 | 152 | 0.6410 | 0.8333 | 0.7246 | 30 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.7590 | 0.8757 | 0.8132 | 0.9595 |
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| 0.1055 | 39.0 | 4134 | 0.1300 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.6825 | 0.7414 | 0.7107 | 58 | 0.8133 | 0.8882 | 0.8491 | 152 | 0.6757 | 0.8333 | 0.7463 | 30 | 0.75 | 0.8276 | 0.7869 | 29 | 0.7713 | 0.8580 | 0.8123 | 0.9601 |
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| 0.1041 | 40.0 | 4240 | 0.1313 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.6825 | 0.7414 | 0.7107 | 58 | 0.8144 | 0.8947 | 0.8527 | 152 | 0.6316 | 0.8 | 0.7059 | 30 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.7652 | 0.8580 | 0.8089 | 0.9595 |
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| 0.1046 | 41.0 | 4346 | 0.1277 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.7069 | 0.7069 | 0.7069 | 58 | 0.8107 | 0.9013 | 0.8536 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.7844 | 0.8609 | 0.8209 | 0.9606 |
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114 |
+
| 0.1035 | 42.0 | 4452 | 0.1274 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.6610 | 0.6724 | 0.6667 | 58 | 0.8204 | 0.9013 | 0.8589 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.7790 | 0.8550 | 0.8152 | 0.9611 |
|
115 |
+
| 0.1032 | 43.0 | 4558 | 0.1329 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.6471 | 0.7586 | 0.6984 | 58 | 0.8059 | 0.9013 | 0.8509 | 152 | 0.6486 | 0.8 | 0.7164 | 30 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.7565 | 0.8639 | 0.8066 | 0.9588 |
|
116 |
+
| 0.1024 | 44.0 | 4664 | 0.1267 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.7 | 0.7241 | 0.7119 | 58 | 0.8133 | 0.8882 | 0.8491 | 152 | 0.6667 | 0.8 | 0.7273 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.7790 | 0.8550 | 0.8152 | 0.9613 |
|
117 |
+
| 0.1002 | 45.0 | 4770 | 0.1306 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.6765 | 0.7931 | 0.7302 | 58 | 0.8144 | 0.8947 | 0.8527 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.75 | 0.8276 | 0.7869 | 29 | 0.7757 | 0.8698 | 0.8201 | 0.9611 |
|
118 |
+
| 0.1001 | 46.0 | 4876 | 0.1273 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.7121 | 0.8103 | 0.7581 | 58 | 0.8144 | 0.8947 | 0.8527 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.75 | 0.8276 | 0.7869 | 29 | 0.7825 | 0.8728 | 0.8252 | 0.9624 |
|
119 |
+
| 0.0991 | 47.0 | 4982 | 0.1303 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.6719 | 0.7414 | 0.7049 | 58 | 0.8193 | 0.8947 | 0.8553 | 152 | 0.6667 | 0.8 | 0.7273 | 30 | 0.75 | 0.8276 | 0.7869 | 29 | 0.7733 | 0.8580 | 0.8135 | 0.9606 |
|
120 |
+
| 0.097 | 48.0 | 5088 | 0.1276 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.6935 | 0.7414 | 0.7167 | 58 | 0.8193 | 0.8947 | 0.8553 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.7849 | 0.8639 | 0.8225 | 0.9616 |
|
121 |
+
| 0.0977 | 49.0 | 5194 | 0.1272 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.6923 | 0.7759 | 0.7317 | 58 | 0.8193 | 0.8947 | 0.8553 | 152 | 0.6667 | 0.8 | 0.7273 | 30 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.7793 | 0.8669 | 0.8207 | 0.9618 |
|
122 |
+
| 0.0972 | 50.0 | 5300 | 0.1248 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.6897 | 0.6897 | 0.6897 | 58 | 0.8121 | 0.8816 | 0.8454 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.8 | 0.8276 | 0.8136 | 29 | 0.7836 | 0.8462 | 0.8137 | 0.9608 |
|
123 |
+
| 0.096 | 51.0 | 5406 | 0.1289 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.6875 | 0.7586 | 0.7213 | 58 | 0.8193 | 0.8947 | 0.8553 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.75 | 0.8276 | 0.7869 | 29 | 0.7807 | 0.8639 | 0.8202 | 0.9616 |
|
124 |
+
| 0.0942 | 52.0 | 5512 | 0.1312 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.6901 | 0.8448 | 0.7597 | 58 | 0.8263 | 0.9079 | 0.8652 | 152 | 0.6486 | 0.8 | 0.7164 | 30 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.7740 | 0.8817 | 0.8243 | 0.9613 |
|
125 |
+
| 0.096 | 53.0 | 5618 | 0.1269 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.7031 | 0.7759 | 0.7377 | 58 | 0.8144 | 0.8947 | 0.8527 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7834 | 0.8669 | 0.8230 | 0.9624 |
|
126 |
+
| 0.092 | 54.0 | 5724 | 0.1271 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.6825 | 0.7414 | 0.7107 | 58 | 0.8121 | 0.8816 | 0.8454 | 152 | 0.6944 | 0.8333 | 0.7576 | 30 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.7727 | 0.8550 | 0.8118 | 0.9606 |
|
127 |
+
| 0.0937 | 55.0 | 5830 | 0.1293 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.6857 | 0.8276 | 0.75 | 58 | 0.8242 | 0.8947 | 0.8580 | 152 | 0.6757 | 0.8333 | 0.7463 | 30 | 0.75 | 0.8276 | 0.7869 | 29 | 0.7769 | 0.8757 | 0.8234 | 0.9613 |
|
128 |
+
| 0.092 | 56.0 | 5936 | 0.1276 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.6721 | 0.7069 | 0.6891 | 58 | 0.8133 | 0.8882 | 0.8491 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.7742 | 0.8521 | 0.8113 | 0.9606 |
|
129 |
+
| 0.0908 | 57.0 | 6042 | 0.1289 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.6769 | 0.7586 | 0.7154 | 58 | 0.8095 | 0.8947 | 0.8500 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.7725 | 0.8639 | 0.8156 | 0.9606 |
|
130 |
+
| 0.089 | 58.0 | 6148 | 0.1268 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.7231 | 0.8103 | 0.7642 | 58 | 0.8095 | 0.8947 | 0.8500 | 152 | 0.7353 | 0.8333 | 0.7812 | 30 | 0.75 | 0.8276 | 0.7869 | 29 | 0.7846 | 0.8728 | 0.8263 | 0.9621 |
|
131 |
+
| 0.089 | 59.0 | 6254 | 0.1250 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.7143 | 0.7759 | 0.7438 | 58 | 0.8133 | 0.8882 | 0.8491 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.8 | 0.8276 | 0.8136 | 29 | 0.7871 | 0.8639 | 0.8237 | 0.9618 |
|
132 |
+
| 0.0885 | 60.0 | 6360 | 0.1309 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.6866 | 0.7931 | 0.736 | 58 | 0.8214 | 0.9079 | 0.8625 | 152 | 0.6486 | 0.8 | 0.7164 | 30 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.7723 | 0.8728 | 0.8194 | 0.9601 |
|
133 |
+
| 0.0883 | 61.0 | 6466 | 0.1258 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.6984 | 0.7586 | 0.7273 | 58 | 0.8293 | 0.8947 | 0.8608 | 152 | 0.7353 | 0.8333 | 0.7812 | 30 | 0.75 | 0.8276 | 0.7869 | 29 | 0.7892 | 0.8639 | 0.8249 | 0.9618 |
|
134 |
+
| 0.0896 | 62.0 | 6572 | 0.1268 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.6935 | 0.7414 | 0.7167 | 58 | 0.8253 | 0.9013 | 0.8616 | 152 | 0.7353 | 0.8333 | 0.7812 | 30 | 0.75 | 0.8276 | 0.7869 | 29 | 0.7871 | 0.8639 | 0.8237 | 0.9611 |
|
135 |
+
| 0.0893 | 63.0 | 6678 | 0.1258 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.7049 | 0.7414 | 0.7227 | 58 | 0.8303 | 0.9013 | 0.8644 | 152 | 0.6944 | 0.8333 | 0.7576 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7892 | 0.8639 | 0.8249 | 0.9616 |
|
136 |
+
| 0.089 | 64.0 | 6784 | 0.1325 | 0.7975 | 0.9130 | 0.8514 | 69 | 0.6957 | 0.8276 | 0.7559 | 58 | 0.8373 | 0.9145 | 0.8742 | 152 | 0.6486 | 0.8 | 0.7164 | 30 | 0.6970 | 0.7931 | 0.7419 | 29 | 0.7734 | 0.8787 | 0.8227 | 0.9603 |
|
137 |
+
| 0.0892 | 65.0 | 6890 | 0.1317 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.6957 | 0.8276 | 0.7559 | 58 | 0.8373 | 0.9145 | 0.8742 | 152 | 0.6486 | 0.8 | 0.7164 | 30 | 0.75 | 0.8276 | 0.7869 | 29 | 0.7801 | 0.8817 | 0.8278 | 0.9613 |
|
138 |
+
| 0.0877 | 66.0 | 6996 | 0.1290 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.7188 | 0.7931 | 0.7541 | 58 | 0.8253 | 0.9013 | 0.8616 | 152 | 0.6944 | 0.8333 | 0.7576 | 30 | 0.75 | 0.8276 | 0.7869 | 29 | 0.7867 | 0.8728 | 0.8275 | 0.9621 |
|
139 |
+
| 0.0856 | 67.0 | 7102 | 0.1305 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7188 | 0.7931 | 0.7541 | 58 | 0.8466 | 0.9079 | 0.8762 | 152 | 0.6757 | 0.8333 | 0.7463 | 30 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.7893 | 0.8757 | 0.8303 | 0.9616 |
|
140 |
+
| 0.0862 | 68.0 | 7208 | 0.1334 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7 | 0.8448 | 0.7656 | 58 | 0.8373 | 0.9145 | 0.8742 | 152 | 0.6486 | 0.8 | 0.7164 | 30 | 0.7188 | 0.7931 | 0.7541 | 29 | 0.7781 | 0.8817 | 0.8266 | 0.9611 |
|
141 |
+
| 0.0867 | 69.0 | 7314 | 0.1309 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.6970 | 0.7931 | 0.7419 | 58 | 0.8424 | 0.9145 | 0.8770 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.75 | 0.8276 | 0.7869 | 29 | 0.7899 | 0.8787 | 0.8319 | 0.9621 |
|
142 |
+
| 0.0845 | 70.0 | 7420 | 0.1256 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.6885 | 0.7241 | 0.7059 | 58 | 0.8354 | 0.9013 | 0.8671 | 152 | 0.7353 | 0.8333 | 0.7812 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7929 | 0.8609 | 0.8255 | 0.9624 |
|
143 |
+
| 0.0864 | 71.0 | 7526 | 0.1250 | 0.8182 | 0.9130 | 0.8630 | 69 | 0.7031 | 0.7759 | 0.7377 | 58 | 0.8144 | 0.8947 | 0.8527 | 152 | 0.7576 | 0.8333 | 0.7937 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7876 | 0.8669 | 0.8254 | 0.9621 |
|
144 |
+
| 0.0854 | 72.0 | 7632 | 0.1275 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7077 | 0.7931 | 0.7480 | 58 | 0.8466 | 0.9079 | 0.8762 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7957 | 0.8757 | 0.8338 | 0.9634 |
|
145 |
+
| 0.0843 | 73.0 | 7738 | 0.1238 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.6935 | 0.7414 | 0.7167 | 58 | 0.8354 | 0.9013 | 0.8671 | 152 | 0.7273 | 0.8 | 0.7619 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7908 | 0.8609 | 0.8244 | 0.9618 |
|
146 |
+
| 0.0871 | 74.0 | 7844 | 0.1290 | 0.7975 | 0.9130 | 0.8514 | 69 | 0.7273 | 0.8276 | 0.7742 | 58 | 0.8415 | 0.9079 | 0.8734 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7947 | 0.8817 | 0.8359 | 0.9624 |
|
147 |
+
| 0.0836 | 75.0 | 7950 | 0.1276 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7231 | 0.8103 | 0.7642 | 58 | 0.8405 | 0.9013 | 0.8698 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7957 | 0.8757 | 0.8338 | 0.9626 |
|
148 |
+
| 0.0825 | 76.0 | 8056 | 0.1277 | 0.7975 | 0.9130 | 0.8514 | 69 | 0.7273 | 0.8276 | 0.7742 | 58 | 0.8415 | 0.9079 | 0.8734 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7947 | 0.8817 | 0.8359 | 0.9624 |
|
149 |
+
| 0.0838 | 77.0 | 8162 | 0.1251 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7231 | 0.8103 | 0.7642 | 58 | 0.8344 | 0.8947 | 0.8635 | 152 | 0.7353 | 0.8333 | 0.7812 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7951 | 0.8728 | 0.8322 | 0.9621 |
|
150 |
+
| 0.0846 | 78.0 | 8268 | 0.1269 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7121 | 0.8103 | 0.7581 | 58 | 0.8405 | 0.9013 | 0.8698 | 152 | 0.7353 | 0.8333 | 0.7812 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7957 | 0.8757 | 0.8338 | 0.9626 |
|
151 |
+
| 0.0845 | 79.0 | 8374 | 0.1264 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7121 | 0.8103 | 0.7581 | 58 | 0.8354 | 0.9013 | 0.8671 | 152 | 0.7353 | 0.8333 | 0.7812 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7936 | 0.8757 | 0.8326 | 0.9626 |
|
152 |
+
| 0.0816 | 80.0 | 8480 | 0.1290 | 0.7975 | 0.9130 | 0.8514 | 69 | 0.7206 | 0.8448 | 0.7778 | 58 | 0.8303 | 0.9013 | 0.8644 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7188 | 0.7931 | 0.7541 | 29 | 0.7836 | 0.8787 | 0.8285 | 0.9624 |
|
153 |
+
| 0.0821 | 81.0 | 8586 | 0.1280 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7121 | 0.8103 | 0.7581 | 58 | 0.8354 | 0.9013 | 0.8671 | 152 | 0.7353 | 0.8333 | 0.7812 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7936 | 0.8757 | 0.8326 | 0.9626 |
|
154 |
+
| 0.0823 | 82.0 | 8692 | 0.1306 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7206 | 0.8448 | 0.7778 | 58 | 0.8424 | 0.9145 | 0.8770 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7188 | 0.7931 | 0.7541 | 29 | 0.7910 | 0.8846 | 0.8352 | 0.9631 |
|
155 |
+
| 0.082 | 83.0 | 8798 | 0.1272 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7231 | 0.8103 | 0.7642 | 58 | 0.8344 | 0.8947 | 0.8635 | 152 | 0.7353 | 0.8333 | 0.7812 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7951 | 0.8728 | 0.8322 | 0.9626 |
|
156 |
+
| 0.0796 | 84.0 | 8904 | 0.1286 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7121 | 0.8103 | 0.7581 | 58 | 0.8405 | 0.9013 | 0.8698 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7419 | 0.7931 | 0.7667 | 29 | 0.7909 | 0.8728 | 0.8298 | 0.9621 |
|
157 |
+
| 0.082 | 85.0 | 9010 | 0.1275 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7231 | 0.8103 | 0.7642 | 58 | 0.8344 | 0.8947 | 0.8635 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7419 | 0.7931 | 0.7667 | 29 | 0.7903 | 0.8698 | 0.8282 | 0.9618 |
|
158 |
+
| 0.0827 | 86.0 | 9116 | 0.1279 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7231 | 0.8103 | 0.7642 | 58 | 0.8405 | 0.9013 | 0.8698 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7957 | 0.8757 | 0.8338 | 0.9621 |
|
159 |
+
| 0.0819 | 87.0 | 9222 | 0.1283 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7231 | 0.8103 | 0.7642 | 58 | 0.8424 | 0.9145 | 0.8770 | 152 | 0.7353 | 0.8333 | 0.7812 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7989 | 0.8817 | 0.8383 | 0.9624 |
|
160 |
+
| 0.0775 | 88.0 | 9328 | 0.1267 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7231 | 0.8103 | 0.7642 | 58 | 0.8303 | 0.9013 | 0.8644 | 152 | 0.7353 | 0.8333 | 0.7812 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7936 | 0.8757 | 0.8326 | 0.9626 |
|
161 |
+
| 0.0784 | 89.0 | 9434 | 0.1289 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7231 | 0.8103 | 0.7642 | 58 | 0.8415 | 0.9079 | 0.8734 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7419 | 0.7931 | 0.7667 | 29 | 0.7936 | 0.8757 | 0.8326 | 0.9618 |
|
162 |
+
| 0.0789 | 90.0 | 9540 | 0.1275 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7231 | 0.8103 | 0.7642 | 58 | 0.8344 | 0.8947 | 0.8635 | 152 | 0.7353 | 0.8333 | 0.7812 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7951 | 0.8728 | 0.8322 | 0.9626 |
|
163 |
+
| 0.0808 | 91.0 | 9646 | 0.1293 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7273 | 0.8276 | 0.7742 | 58 | 0.8415 | 0.9079 | 0.8734 | 152 | 0.6944 | 0.8333 | 0.7576 | 30 | 0.7419 | 0.7931 | 0.7667 | 29 | 0.792 | 0.8787 | 0.8331 | 0.9624 |
|
164 |
+
| 0.0788 | 92.0 | 9752 | 0.1277 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7231 | 0.8103 | 0.7642 | 58 | 0.8344 | 0.8947 | 0.8635 | 152 | 0.7353 | 0.8333 | 0.7812 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7951 | 0.8728 | 0.8322 | 0.9624 |
|
165 |
+
| 0.0791 | 93.0 | 9858 | 0.1293 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7273 | 0.8276 | 0.7742 | 58 | 0.8415 | 0.9079 | 0.8734 | 152 | 0.6944 | 0.8333 | 0.7576 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7947 | 0.8817 | 0.8359 | 0.9624 |
|
166 |
+
| 0.0786 | 94.0 | 9964 | 0.1287 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7231 | 0.8103 | 0.7642 | 58 | 0.8354 | 0.9013 | 0.8671 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7936 | 0.8757 | 0.8326 | 0.9621 |
|
167 |
+
| 0.0788 | 95.0 | 10070 | 0.1285 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7231 | 0.8103 | 0.7642 | 58 | 0.8405 | 0.9013 | 0.8698 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7957 | 0.8757 | 0.8338 | 0.9621 |
|
168 |
+
| 0.0785 | 96.0 | 10176 | 0.1292 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7231 | 0.8103 | 0.7642 | 58 | 0.8424 | 0.9145 | 0.8770 | 152 | 0.6944 | 0.8333 | 0.7576 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7947 | 0.8817 | 0.8359 | 0.9626 |
|
169 |
+
| 0.082 | 97.0 | 10282 | 0.1285 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7231 | 0.8103 | 0.7642 | 58 | 0.8405 | 0.9013 | 0.8698 | 152 | 0.6944 | 0.8333 | 0.7576 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7936 | 0.8757 | 0.8326 | 0.9621 |
|
170 |
+
| 0.078 | 98.0 | 10388 | 0.1284 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7231 | 0.8103 | 0.7642 | 58 | 0.8405 | 0.9013 | 0.8698 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7957 | 0.8757 | 0.8338 | 0.9618 |
|
171 |
+
| 0.0783 | 99.0 | 10494 | 0.1284 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7231 | 0.8103 | 0.7642 | 58 | 0.8415 | 0.9079 | 0.8734 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7962 | 0.8787 | 0.8354 | 0.9624 |
|
172 |
+
| 0.0773 | 100.0 | 10600 | 0.1286 | 0.8077 | 0.9130 | 0.8571 | 69 | 0.7231 | 0.8103 | 0.7642 | 58 | 0.8415 | 0.9079 | 0.8734 | 152 | 0.7143 | 0.8333 | 0.7692 | 30 | 0.7742 | 0.8276 | 0.8000 | 29 | 0.7962 | 0.8787 | 0.8354 | 0.9624 |
|
173 |
+
|
174 |
+
|
175 |
+
### Framework versions
|
176 |
+
|
177 |
+
- Transformers 4.40.2
|
178 |
+
- Pytorch 2.3.0+cu121
|
179 |
+
- Datasets 2.19.1
|
180 |
+
- Tokenizers 0.19.1
|
adapter-ner/adapter_config.json
ADDED
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"config": {
|
3 |
+
"adapter_residual_before_ln": false,
|
4 |
+
"cross_adapter": false,
|
5 |
+
"dropout": 0.0,
|
6 |
+
"factorized_phm_W": true,
|
7 |
+
"factorized_phm_rule": false,
|
8 |
+
"hypercomplex_nonlinearity": "glorot-uniform",
|
9 |
+
"init_weights": "bert",
|
10 |
+
"inv_adapter": null,
|
11 |
+
"inv_adapter_reduction_factor": null,
|
12 |
+
"is_parallel": false,
|
13 |
+
"learn_phm": true,
|
14 |
+
"leave_out": [],
|
15 |
+
"ln_after": false,
|
16 |
+
"ln_before": false,
|
17 |
+
"mh_adapter": false,
|
18 |
+
"non_linearity": "relu",
|
19 |
+
"original_ln_after": true,
|
20 |
+
"original_ln_before": true,
|
21 |
+
"output_adapter": true,
|
22 |
+
"phm_bias": true,
|
23 |
+
"phm_c_init": "normal",
|
24 |
+
"phm_dim": 4,
|
25 |
+
"phm_init_range": 0.0001,
|
26 |
+
"phm_layer": false,
|
27 |
+
"phm_rank": 1,
|
28 |
+
"reduction_factor": 64,
|
29 |
+
"residual_before_ln": true,
|
30 |
+
"scaling": 1.0,
|
31 |
+
"shared_W_phm": false,
|
32 |
+
"shared_phm_rule": true,
|
33 |
+
"use_gating": false
|
34 |
+
},
|
35 |
+
"config_id": "337ea3bbdc05e9b8",
|
36 |
+
"hidden_size": 768,
|
37 |
+
"model_class": "BertForTokenClassification",
|
38 |
+
"model_name": "indolem/indobert-base-uncased",
|
39 |
+
"model_type": "bert",
|
40 |
+
"name": "adapter-ner",
|
41 |
+
"version": "0.2.2"
|
42 |
+
}
|
adapter-ner/head_config.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"config": null,
|
3 |
+
"hidden_size": 768,
|
4 |
+
"label2id": {
|
5 |
+
"B-LOCATION": 0,
|
6 |
+
"B-ORGANIZATION": 1,
|
7 |
+
"B-PERSON": 2,
|
8 |
+
"B-QUANTITY": 3,
|
9 |
+
"B-TIME": 4,
|
10 |
+
"I-LOCATION": 5,
|
11 |
+
"I-ORGANIZATION": 6,
|
12 |
+
"I-PERSON": 7,
|
13 |
+
"I-QUANTITY": 8,
|
14 |
+
"I-TIME": 9,
|
15 |
+
"O": 10
|
16 |
+
},
|
17 |
+
"model_class": "BertForTokenClassification",
|
18 |
+
"model_name": "indolem/indobert-base-uncased",
|
19 |
+
"model_type": "bert",
|
20 |
+
"name": null,
|
21 |
+
"num_labels": 11,
|
22 |
+
"version": "0.2.2"
|
23 |
+
}
|
adapter-ner/pytorch_adapter.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:299637cc2685d76b9c406aa9b04ffeb2c9a3ee5b6697754d122fa402edc4d140
|
3 |
+
size 939238
|
adapter-ner/pytorch_model_head.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9659bf028fd6ba7801dcae3370bdc3fcb93840c8181a625f6800c1f840ae954a
|
3 |
+
size 35354
|