Model save
Browse files- README.md +180 -0
- adapter-ner/adapter_config.json +22 -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-pt-pl5-1
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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-pt-pl5-1
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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: 0.1547
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- Location Precision: 0.7595
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- Location Recall: 0.8696
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- Location F1: 0.8108
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- Location Number: 69
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- Organization Precision: 0.6351
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- Organization Recall: 0.7705
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- Organization F1: 0.6963
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- Organization Number: 61
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- Person Precision: 0.9080
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- Person Recall: 0.9673
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- Person F1: 0.9367
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- Person Number: 153
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- Quantity Precision: 0.75
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- Quantity Recall: 0.8438
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- Quantity F1: 0.7941
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- Quantity Number: 32
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- Time Precision: 0.7714
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- Time Recall: 0.8710
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- Time F1: 0.8182
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- Time Number: 31
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- Overall Precision: 0.7984
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- Overall Recall: 0.8931
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- Overall F1: 0.8431
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- Overall Accuracy: 0.9636
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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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| 1.0019 | 1.0 | 106 | 0.5638 | 0.0 | 0.0 | 0.0 | 69 | 0.0 | 0.0 | 0.0 | 61 | 0.2692 | 0.0915 | 0.1366 | 153 | 0.0 | 0.0 | 0.0 | 32 | 0.5 | 0.0323 | 0.0606 | 31 | 0.2206 | 0.0434 | 0.0725 | 0.8442 |
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| 0.473 | 2.0 | 212 | 0.3223 | 0.5217 | 0.1739 | 0.2609 | 69 | 0.2069 | 0.0984 | 0.1333 | 61 | 0.5667 | 0.7778 | 0.6556 | 153 | 0.1429 | 0.0938 | 0.1132 | 32 | 0.5217 | 0.7742 | 0.6234 | 31 | 0.4985 | 0.4740 | 0.4859 | 0.9041 |
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| 0.3039 | 3.0 | 318 | 0.2089 | 0.5114 | 0.6522 | 0.5732 | 69 | 0.3762 | 0.6230 | 0.4691 | 61 | 0.7640 | 0.8889 | 0.8218 | 153 | 0.5897 | 0.7188 | 0.6479 | 32 | 0.7188 | 0.7419 | 0.7302 | 31 | 0.6050 | 0.7659 | 0.6760 | 0.9349 |
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| 0.2155 | 4.0 | 424 | 0.1963 | 0.6207 | 0.7826 | 0.6923 | 69 | 0.4660 | 0.7869 | 0.5854 | 61 | 0.8081 | 0.9085 | 0.8554 | 153 | 0.4906 | 0.8125 | 0.6118 | 32 | 0.5909 | 0.8387 | 0.6933 | 31 | 0.6383 | 0.8468 | 0.7280 | 0.9344 |
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| 0.1851 | 5.0 | 530 | 0.1491 | 0.6875 | 0.7971 | 0.7383 | 69 | 0.4634 | 0.6230 | 0.5315 | 61 | 0.8218 | 0.9346 | 0.8746 | 153 | 0.625 | 0.7812 | 0.6944 | 32 | 0.8056 | 0.9355 | 0.8657 | 31 | 0.7039 | 0.8382 | 0.7652 | 0.9492 |
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| 0.1645 | 6.0 | 636 | 0.1433 | 0.6484 | 0.8551 | 0.7375 | 69 | 0.5595 | 0.7705 | 0.6483 | 61 | 0.8276 | 0.9412 | 0.8807 | 153 | 0.65 | 0.8125 | 0.7222 | 32 | 0.6136 | 0.8710 | 0.72 | 31 | 0.6998 | 0.8757 | 0.7779 | 0.9524 |
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| 0.1527 | 7.0 | 742 | 0.1375 | 0.6506 | 0.7826 | 0.7105 | 69 | 0.5435 | 0.8197 | 0.6536 | 61 | 0.8304 | 0.9281 | 0.8765 | 153 | 0.6829 | 0.875 | 0.7671 | 32 | 0.9032 | 0.9032 | 0.9032 | 31 | 0.7225 | 0.8728 | 0.7906 | 0.9542 |
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| 0.1415 | 8.0 | 848 | 0.1319 | 0.6923 | 0.7826 | 0.7347 | 69 | 0.5696 | 0.7377 | 0.6429 | 61 | 0.8266 | 0.9346 | 0.8773 | 153 | 0.6667 | 0.8125 | 0.7324 | 32 | 0.6429 | 0.8710 | 0.7397 | 31 | 0.7178 | 0.8526 | 0.7794 | 0.9539 |
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| 0.1336 | 9.0 | 954 | 0.1275 | 0.7037 | 0.8261 | 0.76 | 69 | 0.5970 | 0.6557 | 0.625 | 61 | 0.8443 | 0.9216 | 0.8812 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.7222 | 0.8387 | 0.7761 | 31 | 0.7519 | 0.8410 | 0.7940 | 0.9579 |
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| 0.1273 | 10.0 | 1060 | 0.1264 | 0.7568 | 0.8116 | 0.7832 | 69 | 0.6 | 0.6885 | 0.6412 | 61 | 0.8430 | 0.9477 | 0.8923 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.7674 | 0.8584 | 0.8104 | 0.9596 |
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| 0.1208 | 11.0 | 1166 | 0.1287 | 0.7375 | 0.8551 | 0.7919 | 69 | 0.5976 | 0.8033 | 0.6853 | 61 | 0.8735 | 0.9477 | 0.9091 | 153 | 0.6098 | 0.7812 | 0.6849 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.7550 | 0.8815 | 0.8133 | 0.9569 |
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| 0.1152 | 12.0 | 1272 | 0.1359 | 0.7403 | 0.8261 | 0.7808 | 69 | 0.6338 | 0.7377 | 0.6818 | 61 | 0.8554 | 0.9281 | 0.8903 | 153 | 0.6047 | 0.8125 | 0.6933 | 32 | 0.7778 | 0.9032 | 0.8358 | 31 | 0.7583 | 0.8613 | 0.8065 | 0.9564 |
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| 0.1097 | 13.0 | 1378 | 0.1307 | 0.725 | 0.8406 | 0.7785 | 69 | 0.6235 | 0.8689 | 0.7260 | 61 | 0.8538 | 0.9542 | 0.9012 | 153 | 0.7027 | 0.8125 | 0.7536 | 32 | 0.7297 | 0.8710 | 0.7941 | 31 | 0.7561 | 0.8960 | 0.8201 | 0.9594 |
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| 0.1062 | 14.0 | 1484 | 0.1468 | 0.7375 | 0.8551 | 0.7919 | 69 | 0.5909 | 0.8525 | 0.6980 | 61 | 0.8529 | 0.9477 | 0.8978 | 153 | 0.6279 | 0.8438 | 0.72 | 32 | 0.6842 | 0.8387 | 0.7536 | 31 | 0.7375 | 0.8931 | 0.8078 | 0.9527 |
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| 0.1034 | 15.0 | 1590 | 0.1254 | 0.7468 | 0.8551 | 0.7973 | 69 | 0.6173 | 0.8197 | 0.7042 | 61 | 0.8773 | 0.9346 | 0.9051 | 153 | 0.6923 | 0.8438 | 0.7606 | 32 | 0.6842 | 0.8387 | 0.7536 | 31 | 0.7625 | 0.8815 | 0.8177 | 0.9569 |
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| 0.1019 | 16.0 | 1696 | 0.1364 | 0.7073 | 0.8406 | 0.7682 | 69 | 0.6163 | 0.8689 | 0.7211 | 61 | 0.8683 | 0.9477 | 0.9062 | 153 | 0.7297 | 0.8438 | 0.7826 | 32 | 0.8 | 0.9032 | 0.8485 | 31 | 0.7641 | 0.8988 | 0.8260 | 0.9576 |
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| 0.0961 | 17.0 | 1802 | 0.1413 | 0.7532 | 0.8406 | 0.7945 | 69 | 0.6071 | 0.8361 | 0.7034 | 61 | 0.8727 | 0.9412 | 0.9057 | 153 | 0.65 | 0.8125 | 0.7222 | 32 | 0.7027 | 0.8387 | 0.7647 | 31 | 0.7568 | 0.8815 | 0.8144 | 0.9547 |
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| 0.0949 | 18.0 | 1908 | 0.1231 | 0.7564 | 0.8551 | 0.8027 | 69 | 0.6230 | 0.6230 | 0.6230 | 61 | 0.8841 | 0.9477 | 0.9148 | 153 | 0.7297 | 0.8438 | 0.7826 | 32 | 0.7222 | 0.8387 | 0.7761 | 31 | 0.7846 | 0.8526 | 0.8172 | 0.9604 |
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| 0.09 | 19.0 | 2014 | 0.1222 | 0.7468 | 0.8551 | 0.7973 | 69 | 0.6125 | 0.8033 | 0.6950 | 61 | 0.8675 | 0.9412 | 0.9028 | 153 | 0.6923 | 0.8438 | 0.7606 | 32 | 0.8485 | 0.9032 | 0.875 | 31 | 0.7733 | 0.8873 | 0.8264 | 0.9628 |
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| 0.0891 | 20.0 | 2120 | 0.1366 | 0.7532 | 0.8406 | 0.7945 | 69 | 0.6203 | 0.8033 | 0.7 | 61 | 0.8571 | 0.9412 | 0.8972 | 153 | 0.7222 | 0.8125 | 0.7647 | 32 | 0.7879 | 0.8387 | 0.8125 | 31 | 0.7710 | 0.8757 | 0.8200 | 0.9581 |
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| 0.0865 | 21.0 | 2226 | 0.1493 | 0.6786 | 0.8261 | 0.7451 | 69 | 0.5698 | 0.8033 | 0.6667 | 61 | 0.8588 | 0.9542 | 0.9040 | 153 | 0.6190 | 0.8125 | 0.7027 | 32 | 0.7027 | 0.8387 | 0.7647 | 31 | 0.7255 | 0.8786 | 0.7948 | 0.9502 |
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| 0.0889 | 22.0 | 2332 | 0.1491 | 0.7215 | 0.8261 | 0.7703 | 69 | 0.5248 | 0.8689 | 0.6543 | 61 | 0.8614 | 0.9346 | 0.8966 | 153 | 0.675 | 0.8438 | 0.75 | 32 | 0.7222 | 0.8387 | 0.7761 | 31 | 0.7251 | 0.8844 | 0.7969 | 0.9495 |
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| 0.0847 | 23.0 | 2438 | 0.1281 | 0.7436 | 0.8406 | 0.7891 | 69 | 0.6533 | 0.8033 | 0.7206 | 61 | 0.8675 | 0.9412 | 0.9028 | 153 | 0.65 | 0.8125 | 0.7222 | 32 | 0.7222 | 0.8387 | 0.7761 | 31 | 0.7671 | 0.8757 | 0.8178 | 0.9591 |
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| 0.0824 | 24.0 | 2544 | 0.1410 | 0.7532 | 0.8406 | 0.7945 | 69 | 0.6098 | 0.8197 | 0.6993 | 61 | 0.8580 | 0.9477 | 0.9006 | 153 | 0.65 | 0.8125 | 0.7222 | 32 | 0.7 | 0.9032 | 0.7887 | 31 | 0.7525 | 0.8873 | 0.8143 | 0.9574 |
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| 0.0829 | 25.0 | 2650 | 0.1344 | 0.7215 | 0.8261 | 0.7703 | 69 | 0.5783 | 0.7869 | 0.6667 | 61 | 0.8735 | 0.9477 | 0.9091 | 153 | 0.7105 | 0.8438 | 0.7714 | 32 | 0.7568 | 0.9032 | 0.8235 | 31 | 0.7568 | 0.8815 | 0.8144 | 0.9594 |
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| 0.0786 | 26.0 | 2756 | 0.1298 | 0.7468 | 0.8551 | 0.7973 | 69 | 0.6234 | 0.7869 | 0.6957 | 61 | 0.8727 | 0.9412 | 0.9057 | 153 | 0.6923 | 0.8438 | 0.7606 | 32 | 0.7429 | 0.8387 | 0.7879 | 31 | 0.7696 | 0.8786 | 0.8205 | 0.9604 |
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| 0.0786 | 27.0 | 2862 | 0.1343 | 0.7342 | 0.8406 | 0.7838 | 69 | 0.6267 | 0.7705 | 0.6912 | 61 | 0.8683 | 0.9477 | 0.9062 | 153 | 0.6923 | 0.8438 | 0.7606 | 32 | 0.7027 | 0.8387 | 0.7647 | 31 | 0.7632 | 0.8757 | 0.8156 | 0.9614 |
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| 0.0753 | 28.0 | 2968 | 0.1282 | 0.7195 | 0.8551 | 0.7815 | 69 | 0.6087 | 0.6885 | 0.6462 | 61 | 0.8683 | 0.9477 | 0.9062 | 153 | 0.7297 | 0.8438 | 0.7826 | 32 | 0.65 | 0.8387 | 0.7324 | 31 | 0.7570 | 0.8642 | 0.8070 | 0.9599 |
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| 0.0736 | 29.0 | 3074 | 0.1327 | 0.7763 | 0.8551 | 0.8138 | 69 | 0.5542 | 0.7541 | 0.6389 | 61 | 0.8788 | 0.9477 | 0.9119 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.8125 | 0.8387 | 0.8254 | 31 | 0.7730 | 0.8757 | 0.8211 | 0.9601 |
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| 0.0718 | 30.0 | 3180 | 0.1319 | 0.7662 | 0.8551 | 0.8082 | 69 | 0.5698 | 0.8033 | 0.6667 | 61 | 0.8743 | 0.9542 | 0.9125 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.7222 | 0.8387 | 0.7761 | 31 | 0.7637 | 0.8873 | 0.8209 | 0.9601 |
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| 0.069 | 31.0 | 3286 | 0.1337 | 0.7125 | 0.8261 | 0.7651 | 69 | 0.6143 | 0.7049 | 0.6565 | 61 | 0.8639 | 0.9542 | 0.9068 | 153 | 0.6757 | 0.7812 | 0.7246 | 32 | 0.7179 | 0.9032 | 0.8 | 31 | 0.7570 | 0.8642 | 0.8070 | 0.9621 |
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| 0.0688 | 32.0 | 3392 | 0.1288 | 0.7073 | 0.8406 | 0.7682 | 69 | 0.6301 | 0.7541 | 0.6866 | 61 | 0.8735 | 0.9477 | 0.9091 | 153 | 0.7429 | 0.8125 | 0.7761 | 32 | 0.7027 | 0.8387 | 0.7647 | 31 | 0.7659 | 0.8699 | 0.8146 | 0.9614 |
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| 0.0733 | 33.0 | 3498 | 0.1252 | 0.725 | 0.8406 | 0.7785 | 69 | 0.6471 | 0.7213 | 0.6822 | 61 | 0.8735 | 0.9477 | 0.9091 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.7222 | 0.8387 | 0.7761 | 31 | 0.7772 | 0.8671 | 0.8197 | 0.9643 |
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| 0.0681 | 34.0 | 3604 | 0.1387 | 0.7073 | 0.8406 | 0.7682 | 69 | 0.6076 | 0.7869 | 0.6857 | 61 | 0.8571 | 0.9412 | 0.8972 | 153 | 0.7105 | 0.8438 | 0.7714 | 32 | 0.7105 | 0.8710 | 0.7826 | 31 | 0.7506 | 0.8786 | 0.8096 | 0.9601 |
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| 0.0683 | 35.0 | 3710 | 0.1332 | 0.6988 | 0.8406 | 0.7632 | 69 | 0.5926 | 0.7869 | 0.6761 | 61 | 0.8780 | 0.9412 | 0.9085 | 153 | 0.6341 | 0.8125 | 0.7123 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7537 | 0.8757 | 0.8102 | 0.9604 |
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| 0.0699 | 36.0 | 3816 | 0.1316 | 0.7317 | 0.8696 | 0.7947 | 69 | 0.5714 | 0.7869 | 0.6621 | 61 | 0.8834 | 0.9412 | 0.9114 | 153 | 0.7027 | 0.8125 | 0.7536 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7644 | 0.8815 | 0.8188 | 0.9596 |
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| 0.0648 | 37.0 | 3922 | 0.1239 | 0.7692 | 0.8696 | 0.8163 | 69 | 0.5658 | 0.7049 | 0.6277 | 61 | 0.8841 | 0.9477 | 0.9148 | 153 | 0.7647 | 0.8125 | 0.7879 | 32 | 0.8438 | 0.8710 | 0.8571 | 31 | 0.7839 | 0.8699 | 0.8247 | 0.9633 |
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| 0.0653 | 38.0 | 4028 | 0.1297 | 0.7125 | 0.8261 | 0.7651 | 69 | 0.6098 | 0.8197 | 0.6993 | 61 | 0.8788 | 0.9477 | 0.9119 | 153 | 0.6667 | 0.8125 | 0.7324 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7625 | 0.8815 | 0.8177 | 0.9628 |
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| 0.0627 | 39.0 | 4134 | 0.1280 | 0.7407 | 0.8696 | 0.8000 | 69 | 0.5867 | 0.7213 | 0.6471 | 61 | 0.8848 | 0.9542 | 0.9182 | 153 | 0.6667 | 0.8125 | 0.7324 | 32 | 0.75 | 0.8710 | 0.8060 | 31 | 0.7652 | 0.8757 | 0.8167 | 0.9626 |
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| 0.0636 | 40.0 | 4240 | 0.1303 | 0.7564 | 0.8551 | 0.8027 | 69 | 0.56 | 0.6885 | 0.6176 | 61 | 0.8855 | 0.9608 | 0.9216 | 153 | 0.675 | 0.8438 | 0.75 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.7665 | 0.8728 | 0.8162 | 0.9621 |
|
113 |
+
| 0.0611 | 41.0 | 4346 | 0.1401 | 0.7317 | 0.8696 | 0.7947 | 69 | 0.5976 | 0.8033 | 0.6853 | 61 | 0.8916 | 0.9673 | 0.9279 | 153 | 0.6923 | 0.8438 | 0.7606 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7717 | 0.8988 | 0.8304 | 0.9604 |
|
114 |
+
| 0.0622 | 42.0 | 4452 | 0.1409 | 0.7375 | 0.8551 | 0.7919 | 69 | 0.6316 | 0.7869 | 0.7007 | 61 | 0.8963 | 0.9608 | 0.9274 | 153 | 0.7105 | 0.8438 | 0.7714 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7857 | 0.8902 | 0.8347 | 0.9623 |
|
115 |
+
| 0.0572 | 43.0 | 4558 | 0.1505 | 0.7284 | 0.8551 | 0.7867 | 69 | 0.5952 | 0.8197 | 0.6897 | 61 | 0.8795 | 0.9542 | 0.9154 | 153 | 0.7297 | 0.8438 | 0.7826 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7687 | 0.8931 | 0.8262 | 0.9591 |
|
116 |
+
| 0.0574 | 44.0 | 4664 | 0.1343 | 0.7468 | 0.8551 | 0.7973 | 69 | 0.5921 | 0.7377 | 0.6569 | 61 | 0.8690 | 0.9542 | 0.9097 | 153 | 0.7027 | 0.8125 | 0.7536 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7690 | 0.8757 | 0.8189 | 0.9626 |
|
117 |
+
| 0.0602 | 45.0 | 4770 | 0.1305 | 0.7692 | 0.8696 | 0.8163 | 69 | 0.5857 | 0.6721 | 0.6260 | 61 | 0.8795 | 0.9542 | 0.9154 | 153 | 0.6923 | 0.8438 | 0.7606 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.7758 | 0.8699 | 0.8202 | 0.9614 |
|
118 |
+
| 0.0571 | 46.0 | 4876 | 0.1360 | 0.7439 | 0.8841 | 0.8079 | 69 | 0.5775 | 0.6721 | 0.6212 | 61 | 0.8788 | 0.9477 | 0.9119 | 153 | 0.7297 | 0.8438 | 0.7826 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7738 | 0.8699 | 0.8190 | 0.9606 |
|
119 |
+
| 0.0566 | 47.0 | 4982 | 0.1346 | 0.7595 | 0.8696 | 0.8108 | 69 | 0.5974 | 0.7541 | 0.6667 | 61 | 0.8902 | 0.9542 | 0.9211 | 153 | 0.7222 | 0.8125 | 0.7647 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.7801 | 0.8815 | 0.8277 | 0.9631 |
|
120 |
+
| 0.0577 | 48.0 | 5088 | 0.1392 | 0.7407 | 0.8696 | 0.8000 | 69 | 0.5714 | 0.7213 | 0.6377 | 61 | 0.8788 | 0.9477 | 0.9119 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.8438 | 0.8710 | 0.8571 | 31 | 0.7749 | 0.8757 | 0.8223 | 0.9633 |
|
121 |
+
| 0.0555 | 49.0 | 5194 | 0.1333 | 0.7317 | 0.8696 | 0.7947 | 69 | 0.6301 | 0.7541 | 0.6866 | 61 | 0.9012 | 0.9542 | 0.9270 | 153 | 0.7027 | 0.8125 | 0.7536 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7881 | 0.8815 | 0.8322 | 0.9653 |
|
122 |
+
| 0.057 | 50.0 | 5300 | 0.1373 | 0.7108 | 0.8551 | 0.7763 | 69 | 0.56 | 0.6885 | 0.6176 | 61 | 0.8795 | 0.9542 | 0.9154 | 153 | 0.7222 | 0.8125 | 0.7647 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7614 | 0.8671 | 0.8108 | 0.9606 |
|
123 |
+
| 0.0539 | 51.0 | 5406 | 0.1393 | 0.7407 | 0.8696 | 0.8000 | 69 | 0.5854 | 0.7869 | 0.6713 | 61 | 0.8957 | 0.9542 | 0.9241 | 153 | 0.7297 | 0.8438 | 0.7826 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7778 | 0.8902 | 0.8302 | 0.9641 |
|
124 |
+
| 0.0528 | 52.0 | 5512 | 0.1434 | 0.7692 | 0.8696 | 0.8163 | 69 | 0.6220 | 0.8361 | 0.7133 | 61 | 0.8970 | 0.9673 | 0.9308 | 153 | 0.7714 | 0.8438 | 0.8060 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.7924 | 0.9046 | 0.8448 | 0.9643 |
|
125 |
+
| 0.0539 | 53.0 | 5618 | 0.1391 | 0.75 | 0.8696 | 0.8054 | 69 | 0.6173 | 0.8197 | 0.7042 | 61 | 0.8802 | 0.9608 | 0.9188 | 153 | 0.7105 | 0.8438 | 0.7714 | 32 | 0.8438 | 0.8710 | 0.8571 | 31 | 0.7814 | 0.8988 | 0.8360 | 0.9646 |
|
126 |
+
| 0.0514 | 54.0 | 5724 | 0.1494 | 0.7407 | 0.8696 | 0.8000 | 69 | 0.6024 | 0.8197 | 0.6944 | 61 | 0.8855 | 0.9608 | 0.9216 | 153 | 0.7297 | 0.8438 | 0.7826 | 32 | 0.7879 | 0.8387 | 0.8125 | 31 | 0.775 | 0.8960 | 0.8311 | 0.9628 |
|
127 |
+
| 0.0544 | 55.0 | 5830 | 0.1487 | 0.7531 | 0.8841 | 0.8133 | 69 | 0.6410 | 0.8197 | 0.7194 | 61 | 0.8795 | 0.9542 | 0.9154 | 153 | 0.6923 | 0.8438 | 0.7606 | 32 | 0.75 | 0.8710 | 0.8060 | 31 | 0.7775 | 0.8988 | 0.8338 | 0.9623 |
|
128 |
+
| 0.0508 | 56.0 | 5936 | 0.1413 | 0.7073 | 0.8406 | 0.7682 | 69 | 0.6267 | 0.7705 | 0.6912 | 61 | 0.8963 | 0.9608 | 0.9274 | 153 | 0.6842 | 0.8125 | 0.7429 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7781 | 0.8815 | 0.8266 | 0.9628 |
|
129 |
+
| 0.0501 | 57.0 | 6042 | 0.1461 | 0.7195 | 0.8551 | 0.7815 | 69 | 0.6316 | 0.7869 | 0.7007 | 61 | 0.9018 | 0.9608 | 0.9304 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7877 | 0.8902 | 0.8358 | 0.9641 |
|
130 |
+
| 0.05 | 58.0 | 6148 | 0.1461 | 0.7468 | 0.8551 | 0.7973 | 69 | 0.6234 | 0.7869 | 0.6957 | 61 | 0.9018 | 0.9608 | 0.9304 | 153 | 0.7105 | 0.8438 | 0.7714 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7877 | 0.8902 | 0.8358 | 0.9631 |
|
131 |
+
| 0.0487 | 59.0 | 6254 | 0.1430 | 0.7195 | 0.8551 | 0.7815 | 69 | 0.6364 | 0.8033 | 0.7101 | 61 | 0.8963 | 0.9608 | 0.9274 | 153 | 0.7714 | 0.8438 | 0.8060 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7903 | 0.8931 | 0.8385 | 0.9648 |
|
132 |
+
| 0.0479 | 60.0 | 6360 | 0.1542 | 0.725 | 0.8406 | 0.7785 | 69 | 0.6341 | 0.8525 | 0.7273 | 61 | 0.9018 | 0.9608 | 0.9304 | 153 | 0.7222 | 0.8125 | 0.7647 | 32 | 0.7297 | 0.8710 | 0.7941 | 31 | 0.7789 | 0.8960 | 0.8333 | 0.9623 |
|
133 |
+
| 0.05 | 61.0 | 6466 | 0.1409 | 0.7632 | 0.8406 | 0.8 | 69 | 0.6267 | 0.7705 | 0.6912 | 61 | 0.9074 | 0.9608 | 0.9333 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.8438 | 0.8710 | 0.8571 | 31 | 0.8031 | 0.8844 | 0.8418 | 0.9656 |
|
134 |
+
| 0.0475 | 62.0 | 6572 | 0.1439 | 0.7215 | 0.8261 | 0.7703 | 69 | 0.6522 | 0.7377 | 0.6923 | 61 | 0.8795 | 0.9542 | 0.9154 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.8125 | 0.8387 | 0.8254 | 31 | 0.7880 | 0.8699 | 0.8269 | 0.9633 |
|
135 |
+
| 0.0456 | 63.0 | 6678 | 0.1503 | 0.7284 | 0.8551 | 0.7867 | 69 | 0.64 | 0.7869 | 0.7059 | 61 | 0.8848 | 0.9542 | 0.9182 | 153 | 0.7714 | 0.8438 | 0.8060 | 32 | 0.8438 | 0.8710 | 0.8571 | 31 | 0.7912 | 0.8873 | 0.8365 | 0.9631 |
|
136 |
+
| 0.0469 | 64.0 | 6784 | 0.1516 | 0.7160 | 0.8406 | 0.7733 | 69 | 0.5904 | 0.8033 | 0.6806 | 61 | 0.8795 | 0.9542 | 0.9154 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7675 | 0.8873 | 0.8231 | 0.9619 |
|
137 |
+
| 0.0461 | 65.0 | 6890 | 0.1509 | 0.7468 | 0.8551 | 0.7973 | 69 | 0.6125 | 0.8033 | 0.6950 | 61 | 0.8795 | 0.9542 | 0.9154 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7797 | 0.8902 | 0.8313 | 0.9623 |
|
138 |
+
| 0.0458 | 66.0 | 6996 | 0.1463 | 0.7375 | 0.8551 | 0.7919 | 69 | 0.6081 | 0.7377 | 0.6667 | 61 | 0.8848 | 0.9542 | 0.9182 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7835 | 0.8786 | 0.8283 | 0.9633 |
|
139 |
+
| 0.046 | 67.0 | 7102 | 0.1473 | 0.7595 | 0.8696 | 0.8108 | 69 | 0.6267 | 0.7705 | 0.6912 | 61 | 0.8909 | 0.9608 | 0.9245 | 153 | 0.7297 | 0.8438 | 0.7826 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7897 | 0.8902 | 0.8370 | 0.9636 |
|
140 |
+
| 0.0427 | 68.0 | 7208 | 0.1485 | 0.725 | 0.8406 | 0.7785 | 69 | 0.6133 | 0.7541 | 0.6765 | 61 | 0.8795 | 0.9542 | 0.9154 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.7755 | 0.8786 | 0.8238 | 0.9643 |
|
141 |
+
| 0.0436 | 69.0 | 7314 | 0.1470 | 0.7722 | 0.8841 | 0.8243 | 69 | 0.6351 | 0.7705 | 0.6963 | 61 | 0.9074 | 0.9608 | 0.9333 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.8047 | 0.8931 | 0.8466 | 0.9651 |
|
142 |
+
| 0.0443 | 70.0 | 7420 | 0.1547 | 0.7375 | 0.8551 | 0.7919 | 69 | 0.6486 | 0.7869 | 0.7111 | 61 | 0.8963 | 0.9608 | 0.9274 | 153 | 0.7714 | 0.8438 | 0.8060 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7959 | 0.8902 | 0.8404 | 0.9641 |
|
143 |
+
| 0.0422 | 71.0 | 7526 | 0.1504 | 0.7160 | 0.8406 | 0.7733 | 69 | 0.6316 | 0.7869 | 0.7007 | 61 | 0.8957 | 0.9542 | 0.9241 | 153 | 0.7714 | 0.8438 | 0.8060 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.7846 | 0.8844 | 0.8315 | 0.9648 |
|
144 |
+
| 0.042 | 72.0 | 7632 | 0.1517 | 0.7436 | 0.8406 | 0.7891 | 69 | 0.6486 | 0.7869 | 0.7111 | 61 | 0.9074 | 0.9608 | 0.9333 | 153 | 0.7714 | 0.8438 | 0.8060 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.7995 | 0.8873 | 0.8411 | 0.9651 |
|
145 |
+
| 0.0409 | 73.0 | 7738 | 0.1508 | 0.7436 | 0.8406 | 0.7891 | 69 | 0.6164 | 0.7377 | 0.6716 | 61 | 0.9074 | 0.9608 | 0.9333 | 153 | 0.7714 | 0.8438 | 0.8060 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.7937 | 0.8786 | 0.8340 | 0.9638 |
|
146 |
+
| 0.0423 | 74.0 | 7844 | 0.1590 | 0.7375 | 0.8551 | 0.7919 | 69 | 0.6024 | 0.8197 | 0.6944 | 61 | 0.9018 | 0.9608 | 0.9304 | 153 | 0.7714 | 0.8438 | 0.8060 | 32 | 0.75 | 0.8710 | 0.8060 | 31 | 0.7809 | 0.8960 | 0.8345 | 0.9616 |
|
147 |
+
| 0.0425 | 75.0 | 7950 | 0.1487 | 0.7284 | 0.8551 | 0.7867 | 69 | 0.6053 | 0.7541 | 0.6715 | 61 | 0.8963 | 0.9608 | 0.9274 | 153 | 0.7714 | 0.8438 | 0.8060 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7866 | 0.8844 | 0.8327 | 0.9641 |
|
148 |
+
| 0.0398 | 76.0 | 8056 | 0.1558 | 0.7375 | 0.8551 | 0.7919 | 69 | 0.6410 | 0.8197 | 0.7194 | 61 | 0.9018 | 0.9608 | 0.9304 | 153 | 0.7027 | 0.8125 | 0.7536 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7883 | 0.8931 | 0.8374 | 0.9633 |
|
149 |
+
| 0.0426 | 77.0 | 8162 | 0.1566 | 0.7595 | 0.8696 | 0.8108 | 69 | 0.625 | 0.8197 | 0.7092 | 61 | 0.8963 | 0.9608 | 0.9274 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.75 | 0.8710 | 0.8060 | 31 | 0.7873 | 0.8988 | 0.8394 | 0.9628 |
|
150 |
+
| 0.0416 | 78.0 | 8268 | 0.1523 | 0.7722 | 0.8841 | 0.8243 | 69 | 0.6316 | 0.7869 | 0.7007 | 61 | 0.9074 | 0.9608 | 0.9333 | 153 | 0.7222 | 0.8125 | 0.7647 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.7964 | 0.8931 | 0.8420 | 0.9628 |
|
151 |
+
| 0.0415 | 79.0 | 8374 | 0.1467 | 0.7763 | 0.8551 | 0.8138 | 69 | 0.6575 | 0.7869 | 0.7164 | 61 | 0.9074 | 0.9608 | 0.9333 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.7879 | 0.8387 | 0.8125 | 31 | 0.8079 | 0.8873 | 0.8457 | 0.9638 |
|
152 |
+
| 0.0389 | 80.0 | 8480 | 0.1525 | 0.7595 | 0.8696 | 0.8108 | 69 | 0.6234 | 0.7869 | 0.6957 | 61 | 0.9074 | 0.9608 | 0.9333 | 153 | 0.7027 | 0.8125 | 0.7536 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.7897 | 0.8902 | 0.8370 | 0.9628 |
|
153 |
+
| 0.0378 | 81.0 | 8586 | 0.1582 | 0.7595 | 0.8696 | 0.8108 | 69 | 0.64 | 0.7869 | 0.7059 | 61 | 0.9018 | 0.9608 | 0.9304 | 153 | 0.7027 | 0.8125 | 0.7536 | 32 | 0.7647 | 0.8387 | 0.8000 | 31 | 0.7912 | 0.8873 | 0.8365 | 0.9626 |
|
154 |
+
| 0.041 | 82.0 | 8692 | 0.1536 | 0.7595 | 0.8696 | 0.8108 | 69 | 0.64 | 0.7869 | 0.7059 | 61 | 0.9080 | 0.9673 | 0.9367 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.8031 | 0.8960 | 0.8470 | 0.9643 |
|
155 |
+
| 0.0385 | 83.0 | 8798 | 0.1517 | 0.7792 | 0.8696 | 0.8219 | 69 | 0.6154 | 0.7869 | 0.6906 | 61 | 0.8902 | 0.9542 | 0.9211 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7938 | 0.8902 | 0.8392 | 0.9636 |
|
156 |
+
| 0.0386 | 84.0 | 8904 | 0.1518 | 0.7692 | 0.8696 | 0.8163 | 69 | 0.6364 | 0.8033 | 0.7101 | 61 | 0.9018 | 0.9608 | 0.9304 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.8438 | 0.8710 | 0.8571 | 31 | 0.8031 | 0.8960 | 0.8470 | 0.9656 |
|
157 |
+
| 0.0397 | 85.0 | 9010 | 0.1540 | 0.7722 | 0.8841 | 0.8243 | 69 | 0.6267 | 0.7705 | 0.6912 | 61 | 0.9024 | 0.9673 | 0.9338 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.8010 | 0.8960 | 0.8458 | 0.9633 |
|
158 |
+
| 0.038 | 86.0 | 9116 | 0.1554 | 0.7595 | 0.8696 | 0.8108 | 69 | 0.6234 | 0.7869 | 0.6957 | 61 | 0.9080 | 0.9673 | 0.9367 | 153 | 0.7297 | 0.8438 | 0.7826 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.7928 | 0.8960 | 0.8412 | 0.9638 |
|
159 |
+
| 0.0379 | 87.0 | 9222 | 0.1552 | 0.7722 | 0.8841 | 0.8243 | 69 | 0.6154 | 0.7869 | 0.6906 | 61 | 0.9080 | 0.9673 | 0.9367 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7974 | 0.8988 | 0.8451 | 0.9636 |
|
160 |
+
| 0.0363 | 88.0 | 9328 | 0.1548 | 0.7595 | 0.8696 | 0.8108 | 69 | 0.6620 | 0.7705 | 0.7121 | 61 | 0.9018 | 0.9608 | 0.9304 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.8042 | 0.8902 | 0.8450 | 0.9638 |
|
161 |
+
| 0.0376 | 89.0 | 9434 | 0.1481 | 0.7692 | 0.8696 | 0.8163 | 69 | 0.6389 | 0.7541 | 0.6917 | 61 | 0.9012 | 0.9542 | 0.9270 | 153 | 0.7714 | 0.8438 | 0.8060 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.8053 | 0.8844 | 0.8430 | 0.9656 |
|
162 |
+
| 0.0348 | 90.0 | 9540 | 0.1593 | 0.7595 | 0.8696 | 0.8108 | 69 | 0.6234 | 0.7869 | 0.6957 | 61 | 0.9074 | 0.9608 | 0.9333 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7964 | 0.8931 | 0.8420 | 0.9636 |
|
163 |
+
| 0.0362 | 91.0 | 9646 | 0.1518 | 0.7532 | 0.8406 | 0.7945 | 69 | 0.6438 | 0.7705 | 0.7015 | 61 | 0.8963 | 0.9608 | 0.9274 | 153 | 0.7714 | 0.8438 | 0.8060 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7990 | 0.8844 | 0.8395 | 0.9646 |
|
164 |
+
| 0.0383 | 92.0 | 9752 | 0.1592 | 0.7722 | 0.8841 | 0.8243 | 69 | 0.6154 | 0.7869 | 0.6906 | 61 | 0.8963 | 0.9608 | 0.9274 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.7908 | 0.8960 | 0.8401 | 0.9623 |
|
165 |
+
| 0.0363 | 93.0 | 9858 | 0.1625 | 0.7625 | 0.8841 | 0.8188 | 69 | 0.6049 | 0.8033 | 0.6901 | 61 | 0.9074 | 0.9608 | 0.9333 | 153 | 0.7027 | 0.8125 | 0.7536 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.7848 | 0.8960 | 0.8367 | 0.9614 |
|
166 |
+
| 0.0377 | 94.0 | 9964 | 0.1543 | 0.75 | 0.8696 | 0.8054 | 69 | 0.6438 | 0.7705 | 0.7015 | 61 | 0.9074 | 0.9608 | 0.9333 | 153 | 0.7714 | 0.8438 | 0.8060 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.8 | 0.8902 | 0.8427 | 0.9646 |
|
167 |
+
| 0.0362 | 95.0 | 10070 | 0.1585 | 0.7595 | 0.8696 | 0.8108 | 69 | 0.6234 | 0.7869 | 0.6957 | 61 | 0.9074 | 0.9608 | 0.9333 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.7943 | 0.8931 | 0.8408 | 0.9631 |
|
168 |
+
| 0.0351 | 96.0 | 10176 | 0.1552 | 0.7821 | 0.8841 | 0.8299 | 69 | 0.6267 | 0.7705 | 0.6912 | 61 | 0.9074 | 0.9608 | 0.9333 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.8005 | 0.8931 | 0.8443 | 0.9641 |
|
169 |
+
| 0.036 | 97.0 | 10282 | 0.1527 | 0.7821 | 0.8841 | 0.8299 | 69 | 0.6351 | 0.7705 | 0.6963 | 61 | 0.9080 | 0.9673 | 0.9367 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.8052 | 0.8960 | 0.8482 | 0.9651 |
|
170 |
+
| 0.0368 | 98.0 | 10388 | 0.1544 | 0.7595 | 0.8696 | 0.8108 | 69 | 0.6351 | 0.7705 | 0.6963 | 61 | 0.9080 | 0.9673 | 0.9367 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.7984 | 0.8931 | 0.8431 | 0.9638 |
|
171 |
+
| 0.0362 | 99.0 | 10494 | 0.1546 | 0.7595 | 0.8696 | 0.8108 | 69 | 0.6351 | 0.7705 | 0.6963 | 61 | 0.9080 | 0.9673 | 0.9367 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.7984 | 0.8931 | 0.8431 | 0.9636 |
|
172 |
+
| 0.034 | 100.0 | 10600 | 0.1547 | 0.7595 | 0.8696 | 0.8108 | 69 | 0.6351 | 0.7705 | 0.6963 | 61 | 0.9080 | 0.9673 | 0.9367 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.7984 | 0.8931 | 0.8431 | 0.9636 |
|
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
@@ -0,0 +1,22 @@
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1 |
+
{
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2 |
+
"config": {
|
3 |
+
"architecture": "prefix_tuning",
|
4 |
+
"bottleneck_size": 512,
|
5 |
+
"cross_prefix": true,
|
6 |
+
"dropout": 0.0,
|
7 |
+
"encoder_prefix": true,
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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 |
+
}
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adapter-ner/head_config.json
ADDED
@@ -0,0 +1,23 @@
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1 |
+
{
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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 |
+
}
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adapter-ner/pytorch_adapter.bin
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1be841180a60bbf8af812f9f713561d6724d3af0513c5940021f9e867fc28018
|
3 |
+
size 39427092
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adapter-ner/pytorch_model_head.bin
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d3d5cfb8429081ba64d5d1badc657a2902d41fe1fc9a322fbbd8c9bea46bf83e
|
3 |
+
size 35354
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