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-pl5-4
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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-pl5-4
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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: 0.1743
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- Location Precision: 0.7778
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- Location Recall: 0.8630
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- Location F1: 0.8182
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- Location Number: 73
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- Organization Precision: 0.7037
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- Organization Recall: 0.8769
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- Organization F1: 0.7808
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- Organization Number: 65
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- Person Precision: 0.8734
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- Person Recall: 0.92
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- Person F1: 0.8961
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- Person Number: 150
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- Quantity Precision: 0.6857
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- Quantity Recall: 0.8276
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- Quantity F1: 0.75
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- Quantity Number: 29
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- Time Precision: 0.7073
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- Time Recall: 0.8529
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- Time F1: 0.7733
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- Time Number: 34
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- Overall Precision: 0.7854
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- Overall Recall: 0.8860
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- Overall F1: 0.8327
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- Overall Accuracy: 0.9589
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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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| 0.965 | 1.0 | 106 | 0.5562 | 0.0 | 0.0 | 0.0 | 73 | 0.0 | 0.0 | 0.0 | 65 | 0.2308 | 0.08 | 0.1188 | 150 | 0.0 | 0.0 | 0.0 | 29 | 0.3333 | 0.0294 | 0.0541 | 34 | 0.1806 | 0.0370 | 0.0615 | 0.8457 |
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| 0.4705 | 2.0 | 212 | 0.3254 | 0.4167 | 0.2055 | 0.2752 | 73 | 0.0732 | 0.0462 | 0.0566 | 65 | 0.6010 | 0.8333 | 0.6983 | 150 | 0.2381 | 0.1724 | 0.2000 | 29 | 0.5581 | 0.7059 | 0.6234 | 34 | 0.4928 | 0.4900 | 0.4914 | 0.9030 |
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| 0.2979 | 3.0 | 318 | 0.2105 | 0.5152 | 0.6986 | 0.5930 | 73 | 0.4605 | 0.5385 | 0.4965 | 65 | 0.7586 | 0.88 | 0.8148 | 150 | 0.4390 | 0.6207 | 0.5143 | 29 | 0.6579 | 0.7353 | 0.6944 | 34 | 0.6098 | 0.7436 | 0.6701 | 0.9345 |
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| 0.2203 | 4.0 | 424 | 0.1712 | 0.6341 | 0.7123 | 0.6710 | 73 | 0.4423 | 0.7077 | 0.5444 | 65 | 0.8084 | 0.9 | 0.8517 | 150 | 0.5294 | 0.6207 | 0.5714 | 29 | 0.8788 | 0.8529 | 0.8657 | 34 | 0.6667 | 0.7977 | 0.7263 | 0.9439 |
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| 0.19 | 5.0 | 530 | 0.1546 | 0.6875 | 0.7534 | 0.7190 | 73 | 0.5495 | 0.7692 | 0.6410 | 65 | 0.8293 | 0.9067 | 0.8662 | 150 | 0.525 | 0.7241 | 0.6087 | 29 | 0.7692 | 0.8824 | 0.8219 | 34 | 0.7053 | 0.8319 | 0.7634 | 0.9513 |
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| 0.1692 | 6.0 | 636 | 0.1692 | 0.6180 | 0.7534 | 0.6790 | 73 | 0.5437 | 0.8615 | 0.6667 | 65 | 0.8323 | 0.9267 | 0.8770 | 150 | 0.5333 | 0.8276 | 0.6486 | 29 | 0.6667 | 0.8235 | 0.7368 | 34 | 0.6771 | 0.8604 | 0.7578 | 0.9441 |
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| 0.1547 | 7.0 | 742 | 0.1435 | 0.6707 | 0.7534 | 0.7097 | 73 | 0.5926 | 0.7385 | 0.6575 | 65 | 0.8476 | 0.9267 | 0.8854 | 150 | 0.6486 | 0.8276 | 0.7273 | 29 | 0.7436 | 0.8529 | 0.7945 | 34 | 0.7320 | 0.8405 | 0.7825 | 0.9527 |
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| 0.1459 | 8.0 | 848 | 0.1405 | 0.6774 | 0.8630 | 0.7590 | 73 | 0.5934 | 0.8308 | 0.6923 | 65 | 0.8580 | 0.9267 | 0.8910 | 150 | 0.6667 | 0.8276 | 0.7385 | 29 | 0.75 | 0.8824 | 0.8108 | 34 | 0.7346 | 0.8832 | 0.8021 | 0.9550 |
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| 0.1372 | 9.0 | 954 | 0.1369 | 0.7561 | 0.8493 | 0.8000 | 73 | 0.5914 | 0.8462 | 0.6962 | 65 | 0.8571 | 0.92 | 0.8875 | 150 | 0.6316 | 0.8276 | 0.7164 | 29 | 0.7692 | 0.8824 | 0.8219 | 34 | 0.7482 | 0.8803 | 0.8089 | 0.9559 |
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| 0.1324 | 10.0 | 1060 | 0.1358 | 0.7564 | 0.8082 | 0.7815 | 73 | 0.6207 | 0.8308 | 0.7105 | 65 | 0.8466 | 0.92 | 0.8818 | 150 | 0.6111 | 0.7586 | 0.6769 | 29 | 0.7895 | 0.8824 | 0.8333 | 34 | 0.7537 | 0.8632 | 0.8048 | 0.9555 |
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| 0.123 | 11.0 | 1166 | 0.1410 | 0.7403 | 0.7808 | 0.7600 | 73 | 0.6582 | 0.8 | 0.7222 | 65 | 0.8589 | 0.9333 | 0.8946 | 150 | 0.5854 | 0.8276 | 0.6857 | 29 | 0.7692 | 0.8824 | 0.8219 | 34 | 0.7594 | 0.8632 | 0.808 | 0.9574 |
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| 0.1175 | 12.0 | 1272 | 0.1413 | 0.6977 | 0.8219 | 0.7547 | 73 | 0.6463 | 0.8154 | 0.7211 | 65 | 0.8466 | 0.92 | 0.8818 | 150 | 0.6486 | 0.8276 | 0.7273 | 29 | 0.6829 | 0.8235 | 0.7467 | 34 | 0.7408 | 0.8632 | 0.7974 | 0.9567 |
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| 0.1117 | 13.0 | 1378 | 0.1335 | 0.7763 | 0.8082 | 0.7919 | 73 | 0.6429 | 0.8308 | 0.7248 | 65 | 0.8634 | 0.9267 | 0.8939 | 150 | 0.6316 | 0.8276 | 0.7164 | 29 | 0.7436 | 0.8529 | 0.7945 | 34 | 0.7663 | 0.8689 | 0.8144 | 0.9594 |
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| 0.1119 | 14.0 | 1484 | 0.1401 | 0.7531 | 0.8356 | 0.7922 | 73 | 0.6512 | 0.8615 | 0.7417 | 65 | 0.875 | 0.9333 | 0.9032 | 150 | 0.6667 | 0.8276 | 0.7385 | 29 | 0.6667 | 0.8235 | 0.7368 | 34 | 0.7630 | 0.8803 | 0.8175 | 0.9601 |
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| 0.1091 | 15.0 | 1590 | 0.1297 | 0.7722 | 0.8356 | 0.8026 | 73 | 0.6180 | 0.8462 | 0.7143 | 65 | 0.8688 | 0.9267 | 0.8968 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7838 | 0.8529 | 0.8169 | 34 | 0.77 | 0.8775 | 0.8202 | 0.9601 |
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| 0.1012 | 16.0 | 1696 | 0.1470 | 0.775 | 0.8493 | 0.8105 | 73 | 0.6386 | 0.8154 | 0.7162 | 65 | 0.8457 | 0.9133 | 0.8782 | 150 | 0.5814 | 0.8621 | 0.6944 | 29 | 0.7 | 0.8235 | 0.7568 | 34 | 0.7475 | 0.8689 | 0.8037 | 0.9540 |
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| 0.0994 | 17.0 | 1802 | 0.1348 | 0.7625 | 0.8356 | 0.7974 | 73 | 0.6548 | 0.8462 | 0.7383 | 65 | 0.8634 | 0.9267 | 0.8939 | 150 | 0.6765 | 0.7931 | 0.7302 | 29 | 0.7436 | 0.8529 | 0.7945 | 34 | 0.7714 | 0.8746 | 0.8198 | 0.9601 |
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| 0.0963 | 18.0 | 1908 | 0.1387 | 0.7692 | 0.8219 | 0.7947 | 73 | 0.5773 | 0.8615 | 0.6914 | 65 | 0.8742 | 0.9267 | 0.8997 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7436 | 0.8529 | 0.7945 | 34 | 0.7549 | 0.8775 | 0.8116 | 0.9572 |
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| 0.0929 | 19.0 | 2014 | 0.1284 | 0.7778 | 0.8630 | 0.8182 | 73 | 0.6512 | 0.8615 | 0.7417 | 65 | 0.8671 | 0.9133 | 0.8896 | 150 | 0.7188 | 0.7931 | 0.7541 | 29 | 0.7895 | 0.8824 | 0.8333 | 34 | 0.7823 | 0.8803 | 0.8284 | 0.9623 |
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| 0.0925 | 20.0 | 2120 | 0.1409 | 0.7654 | 0.8493 | 0.8052 | 73 | 0.6235 | 0.8154 | 0.7067 | 65 | 0.8571 | 0.92 | 0.8875 | 150 | 0.6410 | 0.8621 | 0.7353 | 29 | 0.8108 | 0.8824 | 0.8451 | 34 | 0.7643 | 0.8775 | 0.8170 | 0.9591 |
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| 0.0864 | 21.0 | 2226 | 0.1323 | 0.7531 | 0.8356 | 0.7922 | 73 | 0.6588 | 0.8615 | 0.7467 | 65 | 0.8782 | 0.9133 | 0.8954 | 150 | 0.7059 | 0.8276 | 0.7619 | 29 | 0.7692 | 0.8824 | 0.8219 | 34 | 0.7797 | 0.8775 | 0.8257 | 0.9626 |
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| 0.0907 | 22.0 | 2332 | 0.1398 | 0.7531 | 0.8356 | 0.7922 | 73 | 0.6477 | 0.8769 | 0.7451 | 65 | 0.8688 | 0.9267 | 0.8968 | 150 | 0.7143 | 0.8621 | 0.7813 | 29 | 0.6667 | 0.8235 | 0.7368 | 34 | 0.7635 | 0.8832 | 0.8190 | 0.9604 |
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| 0.0852 | 23.0 | 2438 | 0.1318 | 0.7848 | 0.8493 | 0.8158 | 73 | 0.6512 | 0.8615 | 0.7417 | 65 | 0.8790 | 0.92 | 0.8990 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7632 | 0.8529 | 0.8056 | 34 | 0.7823 | 0.8803 | 0.8284 | 0.9628 |
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| 0.0837 | 24.0 | 2544 | 0.1401 | 0.775 | 0.8493 | 0.8105 | 73 | 0.6154 | 0.8615 | 0.7179 | 65 | 0.8679 | 0.92 | 0.8932 | 150 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.7632 | 0.8529 | 0.8056 | 34 | 0.7706 | 0.8803 | 0.8218 | 0.9601 |
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| 0.0826 | 25.0 | 2650 | 0.1459 | 0.7722 | 0.8356 | 0.8026 | 73 | 0.7073 | 0.8923 | 0.7891 | 65 | 0.8742 | 0.9267 | 0.8997 | 150 | 0.6486 | 0.8276 | 0.7273 | 29 | 0.7436 | 0.8529 | 0.7945 | 34 | 0.7854 | 0.8860 | 0.8327 | 0.9611 |
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| 0.082 | 26.0 | 2756 | 0.1394 | 0.7662 | 0.8082 | 0.7867 | 73 | 0.6437 | 0.8615 | 0.7368 | 65 | 0.8742 | 0.9267 | 0.8997 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7949 | 0.9118 | 0.8493 | 34 | 0.7783 | 0.8803 | 0.8262 | 0.9609 |
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| 0.0787 | 27.0 | 2862 | 0.1452 | 0.7722 | 0.8356 | 0.8026 | 73 | 0.6395 | 0.8462 | 0.7285 | 65 | 0.875 | 0.9333 | 0.9032 | 150 | 0.575 | 0.7931 | 0.6667 | 29 | 0.6829 | 0.8235 | 0.7467 | 34 | 0.7562 | 0.8746 | 0.8111 | 0.9577 |
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| 0.0797 | 28.0 | 2968 | 0.1434 | 0.7722 | 0.8356 | 0.8026 | 73 | 0.7179 | 0.8615 | 0.7832 | 65 | 0.8805 | 0.9333 | 0.9061 | 150 | 0.7188 | 0.7931 | 0.7541 | 29 | 0.6829 | 0.8235 | 0.7467 | 34 | 0.7918 | 0.8775 | 0.8324 | 0.9614 |
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| 0.0743 | 29.0 | 3074 | 0.1394 | 0.7848 | 0.8493 | 0.8158 | 73 | 0.6744 | 0.8923 | 0.7682 | 65 | 0.8797 | 0.9267 | 0.9026 | 150 | 0.75 | 0.8276 | 0.7869 | 29 | 0.725 | 0.8529 | 0.7838 | 34 | 0.7899 | 0.8889 | 0.8365 | 0.9623 |
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102 |
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| 0.0748 | 30.0 | 3180 | 0.1398 | 0.7922 | 0.8356 | 0.8133 | 73 | 0.6627 | 0.8462 | 0.7432 | 65 | 0.8553 | 0.9067 | 0.8803 | 150 | 0.6970 | 0.7931 | 0.7419 | 29 | 0.725 | 0.8529 | 0.7838 | 34 | 0.7755 | 0.8661 | 0.8183 | 0.9591 |
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| 0.0749 | 31.0 | 3286 | 0.1454 | 0.7922 | 0.8356 | 0.8133 | 73 | 0.7 | 0.8615 | 0.7724 | 65 | 0.8805 | 0.9333 | 0.9061 | 150 | 0.6216 | 0.7931 | 0.6970 | 29 | 0.6829 | 0.8235 | 0.7467 | 34 | 0.7817 | 0.8775 | 0.8268 | 0.9596 |
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| 0.0702 | 32.0 | 3392 | 0.1507 | 0.7975 | 0.8630 | 0.8289 | 73 | 0.6593 | 0.9231 | 0.7692 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.7059 | 0.8276 | 0.7619 | 29 | 0.6667 | 0.8235 | 0.7368 | 34 | 0.7748 | 0.8917 | 0.8291 | 0.9582 |
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| 0.0687 | 33.0 | 3498 | 0.1462 | 0.7692 | 0.8219 | 0.7947 | 73 | 0.7143 | 0.8462 | 0.7746 | 65 | 0.8688 | 0.9267 | 0.8968 | 150 | 0.7576 | 0.8621 | 0.8065 | 29 | 0.6667 | 0.8235 | 0.7368 | 34 | 0.7872 | 0.8746 | 0.8286 | 0.9601 |
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| 0.0718 | 34.0 | 3604 | 0.1472 | 0.8052 | 0.8493 | 0.8267 | 73 | 0.6744 | 0.8923 | 0.7682 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7 | 0.8235 | 0.7568 | 34 | 0.7828 | 0.8832 | 0.8300 | 0.9609 |
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| 0.0696 | 35.0 | 3710 | 0.1485 | 0.7625 | 0.8356 | 0.7974 | 73 | 0.6941 | 0.9077 | 0.7867 | 65 | 0.875 | 0.9333 | 0.9032 | 150 | 0.6667 | 0.8276 | 0.7385 | 29 | 0.7073 | 0.8529 | 0.7733 | 34 | 0.7786 | 0.8917 | 0.8313 | 0.9604 |
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108 |
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| 0.0681 | 36.0 | 3816 | 0.1446 | 0.8289 | 0.8630 | 0.8456 | 73 | 0.6742 | 0.9231 | 0.7792 | 65 | 0.8742 | 0.9267 | 0.8997 | 150 | 0.6486 | 0.8276 | 0.7273 | 29 | 0.6364 | 0.8235 | 0.7179 | 34 | 0.7753 | 0.8946 | 0.8307 | 0.9599 |
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| 0.0666 | 37.0 | 3922 | 0.1545 | 0.7821 | 0.8356 | 0.8079 | 73 | 0.6383 | 0.9231 | 0.7547 | 65 | 0.8625 | 0.92 | 0.8903 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.6512 | 0.8235 | 0.7273 | 34 | 0.7585 | 0.8860 | 0.8173 | 0.9567 |
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| 0.0666 | 38.0 | 4028 | 0.1448 | 0.8243 | 0.8356 | 0.8299 | 73 | 0.7308 | 0.8769 | 0.7972 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.6389 | 0.7931 | 0.7077 | 29 | 0.7436 | 0.8529 | 0.7945 | 34 | 0.8 | 0.8775 | 0.8370 | 0.9619 |
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| 0.0642 | 39.0 | 4134 | 0.1475 | 0.7848 | 0.8493 | 0.8158 | 73 | 0.6977 | 0.9231 | 0.7947 | 65 | 0.8696 | 0.9333 | 0.9003 | 150 | 0.7812 | 0.8621 | 0.8197 | 29 | 0.7 | 0.8235 | 0.7568 | 34 | 0.7915 | 0.8974 | 0.8411 | 0.9616 |
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| 0.0653 | 40.0 | 4240 | 0.1560 | 0.8205 | 0.8767 | 0.8477 | 73 | 0.6122 | 0.9231 | 0.7362 | 65 | 0.8774 | 0.9067 | 0.8918 | 150 | 0.7353 | 0.8621 | 0.7937 | 29 | 0.6829 | 0.8235 | 0.7467 | 34 | 0.7709 | 0.8917 | 0.8269 | 0.9579 |
|
113 |
+
| 0.0621 | 41.0 | 4346 | 0.1489 | 0.7821 | 0.8356 | 0.8079 | 73 | 0.6477 | 0.8769 | 0.7451 | 65 | 0.8679 | 0.92 | 0.8932 | 150 | 0.7576 | 0.8621 | 0.8065 | 29 | 0.6829 | 0.8235 | 0.7467 | 34 | 0.7744 | 0.8803 | 0.824 | 0.9589 |
|
114 |
+
| 0.0621 | 42.0 | 4452 | 0.1464 | 0.7949 | 0.8493 | 0.8212 | 73 | 0.7037 | 0.8769 | 0.7808 | 65 | 0.8688 | 0.9267 | 0.8968 | 150 | 0.7059 | 0.8276 | 0.7619 | 29 | 0.6512 | 0.8235 | 0.7273 | 34 | 0.7828 | 0.8832 | 0.8300 | 0.9611 |
|
115 |
+
| 0.059 | 43.0 | 4558 | 0.1482 | 0.7848 | 0.8493 | 0.8158 | 73 | 0.7215 | 0.8769 | 0.7917 | 65 | 0.8616 | 0.9133 | 0.8867 | 150 | 0.6571 | 0.7931 | 0.7188 | 29 | 0.6829 | 0.8235 | 0.7467 | 34 | 0.7812 | 0.8746 | 0.8253 | 0.9601 |
|
116 |
+
| 0.061 | 44.0 | 4664 | 0.1558 | 0.8052 | 0.8493 | 0.8267 | 73 | 0.725 | 0.8923 | 0.8 | 65 | 0.8634 | 0.9267 | 0.8939 | 150 | 0.6667 | 0.8276 | 0.7385 | 29 | 0.6667 | 0.8235 | 0.7368 | 34 | 0.7854 | 0.8860 | 0.8327 | 0.9604 |
|
117 |
+
| 0.0623 | 45.0 | 4770 | 0.1500 | 0.8077 | 0.8630 | 0.8344 | 73 | 0.7333 | 0.8462 | 0.7857 | 65 | 0.8688 | 0.9267 | 0.8968 | 150 | 0.6571 | 0.7931 | 0.7188 | 29 | 0.7436 | 0.8529 | 0.7945 | 34 | 0.7984 | 0.8803 | 0.8374 | 0.9631 |
|
118 |
+
| 0.0585 | 46.0 | 4876 | 0.1510 | 0.8182 | 0.8630 | 0.8400 | 73 | 0.7143 | 0.8462 | 0.7746 | 65 | 0.8616 | 0.9133 | 0.8867 | 150 | 0.6571 | 0.7931 | 0.7188 | 29 | 0.7 | 0.8235 | 0.7568 | 34 | 0.7887 | 0.8718 | 0.8281 | 0.9621 |
|
119 |
+
| 0.0546 | 47.0 | 4982 | 0.1553 | 0.7949 | 0.8493 | 0.8212 | 73 | 0.6552 | 0.8769 | 0.75 | 65 | 0.8634 | 0.9267 | 0.8939 | 150 | 0.7059 | 0.8276 | 0.7619 | 29 | 0.7 | 0.8235 | 0.7568 | 34 | 0.775 | 0.8832 | 0.8256 | 0.9604 |
|
120 |
+
| 0.0581 | 48.0 | 5088 | 0.1582 | 0.775 | 0.8493 | 0.8105 | 73 | 0.6786 | 0.8769 | 0.7651 | 65 | 0.8562 | 0.9133 | 0.8839 | 150 | 0.6667 | 0.8276 | 0.7385 | 29 | 0.7179 | 0.8235 | 0.7671 | 34 | 0.7719 | 0.8775 | 0.8213 | 0.9594 |
|
121 |
+
| 0.0569 | 49.0 | 5194 | 0.1614 | 0.7949 | 0.8493 | 0.8212 | 73 | 0.7125 | 0.8769 | 0.7862 | 65 | 0.8797 | 0.9267 | 0.9026 | 150 | 0.6970 | 0.7931 | 0.7419 | 29 | 0.7073 | 0.8529 | 0.7733 | 34 | 0.7949 | 0.8832 | 0.8367 | 0.9619 |
|
122 |
+
| 0.0569 | 50.0 | 5300 | 0.1571 | 0.7922 | 0.8356 | 0.8133 | 73 | 0.6897 | 0.9231 | 0.7895 | 65 | 0.8679 | 0.92 | 0.8932 | 150 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.7 | 0.8235 | 0.7568 | 34 | 0.7854 | 0.8860 | 0.8327 | 0.9599 |
|
123 |
+
| 0.0534 | 51.0 | 5406 | 0.1557 | 0.7561 | 0.8493 | 0.8000 | 73 | 0.7361 | 0.8154 | 0.7737 | 65 | 0.8457 | 0.9133 | 0.8782 | 150 | 0.7059 | 0.8276 | 0.7619 | 29 | 0.7436 | 0.8529 | 0.7945 | 34 | 0.7841 | 0.8689 | 0.8243 | 0.9616 |
|
124 |
+
| 0.0546 | 52.0 | 5512 | 0.1739 | 0.7722 | 0.8356 | 0.8026 | 73 | 0.6522 | 0.9231 | 0.7643 | 65 | 0.8571 | 0.92 | 0.8875 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.6905 | 0.8529 | 0.7632 | 34 | 0.7628 | 0.8889 | 0.8211 | 0.9545 |
|
125 |
+
| 0.0508 | 53.0 | 5618 | 0.1671 | 0.7949 | 0.8493 | 0.8212 | 73 | 0.6484 | 0.9077 | 0.7564 | 65 | 0.8580 | 0.9267 | 0.8910 | 150 | 0.6571 | 0.7931 | 0.7188 | 29 | 0.7632 | 0.8529 | 0.8056 | 34 | 0.7723 | 0.8889 | 0.8265 | 0.9550 |
|
126 |
+
| 0.0534 | 54.0 | 5724 | 0.1676 | 0.7848 | 0.8493 | 0.8158 | 73 | 0.6413 | 0.9077 | 0.7516 | 65 | 0.8634 | 0.9267 | 0.8939 | 150 | 0.7143 | 0.8621 | 0.7813 | 29 | 0.7073 | 0.8529 | 0.7733 | 34 | 0.7696 | 0.8946 | 0.8274 | 0.9557 |
|
127 |
+
| 0.0543 | 55.0 | 5830 | 0.1557 | 0.7722 | 0.8356 | 0.8026 | 73 | 0.6951 | 0.8769 | 0.7755 | 65 | 0.8625 | 0.92 | 0.8903 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.725 | 0.8529 | 0.7838 | 34 | 0.7803 | 0.8803 | 0.8273 | 0.9599 |
|
128 |
+
| 0.0517 | 56.0 | 5936 | 0.1615 | 0.7949 | 0.8493 | 0.8212 | 73 | 0.7089 | 0.8615 | 0.7778 | 65 | 0.8509 | 0.9133 | 0.8810 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.725 | 0.8529 | 0.7838 | 34 | 0.7837 | 0.8775 | 0.8280 | 0.9599 |
|
129 |
+
| 0.0512 | 57.0 | 6042 | 0.1632 | 0.7722 | 0.8356 | 0.8026 | 73 | 0.7273 | 0.8615 | 0.7887 | 65 | 0.8562 | 0.9133 | 0.8839 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7073 | 0.8529 | 0.7733 | 34 | 0.7832 | 0.8746 | 0.8264 | 0.9601 |
|
130 |
+
| 0.0522 | 58.0 | 6148 | 0.1610 | 0.7848 | 0.8493 | 0.8158 | 73 | 0.6829 | 0.8615 | 0.7619 | 65 | 0.8634 | 0.9267 | 0.8939 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7073 | 0.8529 | 0.7733 | 34 | 0.7789 | 0.8832 | 0.8278 | 0.9579 |
|
131 |
+
| 0.05 | 59.0 | 6254 | 0.1726 | 0.7722 | 0.8356 | 0.8026 | 73 | 0.6707 | 0.8462 | 0.7483 | 65 | 0.8571 | 0.92 | 0.8875 | 150 | 0.6486 | 0.8276 | 0.7273 | 29 | 0.725 | 0.8529 | 0.7838 | 34 | 0.7694 | 0.8746 | 0.8187 | 0.9567 |
|
132 |
+
| 0.0505 | 60.0 | 6360 | 0.1542 | 0.7821 | 0.8356 | 0.8079 | 73 | 0.7534 | 0.8462 | 0.7971 | 65 | 0.8679 | 0.92 | 0.8932 | 150 | 0.7353 | 0.8621 | 0.7937 | 29 | 0.7 | 0.8235 | 0.7568 | 34 | 0.7995 | 0.8746 | 0.8354 | 0.9621 |
|
133 |
+
| 0.0479 | 61.0 | 6466 | 0.1623 | 0.7821 | 0.8356 | 0.8079 | 73 | 0.6860 | 0.9077 | 0.7815 | 65 | 0.8625 | 0.92 | 0.8903 | 150 | 0.7059 | 0.8276 | 0.7619 | 29 | 0.7436 | 0.8529 | 0.7945 | 34 | 0.7834 | 0.8860 | 0.8316 | 0.9599 |
|
134 |
+
| 0.0481 | 62.0 | 6572 | 0.1683 | 0.7722 | 0.8356 | 0.8026 | 73 | 0.6782 | 0.9077 | 0.7763 | 65 | 0.8742 | 0.9267 | 0.8997 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.725 | 0.8529 | 0.7838 | 34 | 0.78 | 0.8889 | 0.8309 | 0.9584 |
|
135 |
+
| 0.047 | 63.0 | 6678 | 0.1563 | 0.7848 | 0.8493 | 0.8158 | 73 | 0.7108 | 0.9077 | 0.7973 | 65 | 0.8634 | 0.9267 | 0.8939 | 150 | 0.7353 | 0.8621 | 0.7937 | 29 | 0.7179 | 0.8235 | 0.7671 | 34 | 0.7904 | 0.8917 | 0.8380 | 0.9614 |
|
136 |
+
| 0.0483 | 64.0 | 6784 | 0.1606 | 0.8052 | 0.8493 | 0.8267 | 73 | 0.7160 | 0.8923 | 0.7945 | 65 | 0.8688 | 0.9267 | 0.8968 | 150 | 0.7059 | 0.8276 | 0.7619 | 29 | 0.7436 | 0.8529 | 0.7945 | 34 | 0.7980 | 0.8889 | 0.8410 | 0.9616 |
|
137 |
+
| 0.0454 | 65.0 | 6890 | 0.1621 | 0.8077 | 0.8630 | 0.8344 | 73 | 0.7532 | 0.8923 | 0.8169 | 65 | 0.8742 | 0.9267 | 0.8997 | 150 | 0.6571 | 0.7931 | 0.7188 | 29 | 0.7436 | 0.8529 | 0.7945 | 34 | 0.8041 | 0.8889 | 0.8444 | 0.9626 |
|
138 |
+
| 0.046 | 66.0 | 6996 | 0.1635 | 0.7875 | 0.8630 | 0.8235 | 73 | 0.7024 | 0.9077 | 0.7919 | 65 | 0.8797 | 0.9267 | 0.9026 | 150 | 0.7059 | 0.8276 | 0.7619 | 29 | 0.7436 | 0.8529 | 0.7945 | 34 | 0.7949 | 0.8946 | 0.8418 | 0.9619 |
|
139 |
+
| 0.0451 | 67.0 | 7102 | 0.1660 | 0.7683 | 0.8630 | 0.8129 | 73 | 0.6941 | 0.9077 | 0.7867 | 65 | 0.8688 | 0.9267 | 0.8968 | 150 | 0.7059 | 0.8276 | 0.7619 | 29 | 0.7436 | 0.8529 | 0.7945 | 34 | 0.785 | 0.8946 | 0.8362 | 0.9604 |
|
140 |
+
| 0.0436 | 68.0 | 7208 | 0.1605 | 0.8052 | 0.8493 | 0.8267 | 73 | 0.7160 | 0.8923 | 0.7945 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.6389 | 0.7931 | 0.7077 | 29 | 0.7 | 0.8235 | 0.7568 | 34 | 0.7883 | 0.8803 | 0.8318 | 0.9614 |
|
141 |
+
| 0.043 | 69.0 | 7314 | 0.1672 | 0.7875 | 0.8630 | 0.8235 | 73 | 0.6867 | 0.8769 | 0.7703 | 65 | 0.8634 | 0.9267 | 0.8939 | 150 | 0.7059 | 0.8276 | 0.7619 | 29 | 0.7436 | 0.8529 | 0.7945 | 34 | 0.7859 | 0.8889 | 0.8342 | 0.9582 |
|
142 |
+
| 0.0424 | 70.0 | 7420 | 0.1644 | 0.7875 | 0.8630 | 0.8235 | 73 | 0.6951 | 0.8769 | 0.7755 | 65 | 0.8688 | 0.9267 | 0.8968 | 150 | 0.6970 | 0.7931 | 0.7419 | 29 | 0.7 | 0.8235 | 0.7568 | 34 | 0.7848 | 0.8832 | 0.8311 | 0.9606 |
|
143 |
+
| 0.0469 | 71.0 | 7526 | 0.1667 | 0.7975 | 0.8630 | 0.8289 | 73 | 0.6744 | 0.8923 | 0.7682 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7436 | 0.8529 | 0.7945 | 34 | 0.7859 | 0.8889 | 0.8342 | 0.9604 |
|
144 |
+
| 0.0409 | 72.0 | 7632 | 0.1714 | 0.7778 | 0.8630 | 0.8182 | 73 | 0.6747 | 0.8615 | 0.7568 | 65 | 0.8625 | 0.92 | 0.8903 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.725 | 0.8529 | 0.7838 | 34 | 0.7769 | 0.8832 | 0.8267 | 0.9594 |
|
145 |
+
| 0.0437 | 73.0 | 7738 | 0.1682 | 0.7848 | 0.8493 | 0.8158 | 73 | 0.7037 | 0.8769 | 0.7808 | 65 | 0.8679 | 0.92 | 0.8932 | 150 | 0.6571 | 0.7931 | 0.7188 | 29 | 0.725 | 0.8529 | 0.7838 | 34 | 0.7843 | 0.8803 | 0.8295 | 0.9591 |
|
146 |
+
| 0.0411 | 74.0 | 7844 | 0.1627 | 0.775 | 0.8493 | 0.8105 | 73 | 0.7333 | 0.8462 | 0.7857 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.6765 | 0.7931 | 0.7302 | 29 | 0.7436 | 0.8529 | 0.7945 | 34 | 0.7953 | 0.8746 | 0.8331 | 0.9611 |
|
147 |
+
| 0.0432 | 75.0 | 7950 | 0.1737 | 0.7949 | 0.8493 | 0.8212 | 73 | 0.6556 | 0.9077 | 0.7613 | 65 | 0.8742 | 0.9267 | 0.8997 | 150 | 0.6765 | 0.7931 | 0.7302 | 29 | 0.7436 | 0.8529 | 0.7945 | 34 | 0.78 | 0.8889 | 0.8309 | 0.9589 |
|
148 |
+
| 0.0398 | 76.0 | 8056 | 0.1650 | 0.7848 | 0.8493 | 0.8158 | 73 | 0.6824 | 0.8923 | 0.7733 | 65 | 0.8679 | 0.92 | 0.8932 | 150 | 0.7429 | 0.8966 | 0.8125 | 29 | 0.7436 | 0.8529 | 0.7945 | 34 | 0.7884 | 0.8917 | 0.8369 | 0.9609 |
|
149 |
+
| 0.0392 | 77.0 | 8162 | 0.1677 | 0.775 | 0.8493 | 0.8105 | 73 | 0.7089 | 0.8615 | 0.7778 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.7059 | 0.8276 | 0.7619 | 29 | 0.725 | 0.8529 | 0.7838 | 34 | 0.7903 | 0.8803 | 0.8329 | 0.9604 |
|
150 |
+
| 0.0404 | 78.0 | 8268 | 0.1741 | 0.7848 | 0.8493 | 0.8158 | 73 | 0.6867 | 0.8769 | 0.7703 | 65 | 0.8688 | 0.9267 | 0.8968 | 150 | 0.7059 | 0.8276 | 0.7619 | 29 | 0.725 | 0.8529 | 0.7838 | 34 | 0.7854 | 0.8860 | 0.8327 | 0.9591 |
|
151 |
+
| 0.0414 | 79.0 | 8374 | 0.1812 | 0.775 | 0.8493 | 0.8105 | 73 | 0.7 | 0.8615 | 0.7724 | 65 | 0.8519 | 0.92 | 0.8846 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7073 | 0.8529 | 0.7733 | 34 | 0.7764 | 0.8803 | 0.8251 | 0.9577 |
|
152 |
+
| 0.0401 | 80.0 | 8480 | 0.1722 | 0.7778 | 0.8630 | 0.8182 | 73 | 0.6790 | 0.8462 | 0.7534 | 65 | 0.8679 | 0.92 | 0.8932 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.6667 | 0.8235 | 0.7368 | 34 | 0.7739 | 0.8775 | 0.8224 | 0.9577 |
|
153 |
+
| 0.041 | 81.0 | 8586 | 0.1709 | 0.7875 | 0.8630 | 0.8235 | 73 | 0.6786 | 0.8769 | 0.7651 | 65 | 0.8679 | 0.92 | 0.8932 | 150 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.7 | 0.8235 | 0.7568 | 34 | 0.7828 | 0.8832 | 0.8300 | 0.9596 |
|
154 |
+
| 0.0405 | 82.0 | 8692 | 0.1678 | 0.7875 | 0.8630 | 0.8235 | 73 | 0.7179 | 0.8615 | 0.7832 | 65 | 0.8679 | 0.92 | 0.8932 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.6667 | 0.8235 | 0.7368 | 34 | 0.7843 | 0.8803 | 0.8295 | 0.9594 |
|
155 |
+
| 0.0398 | 83.0 | 8798 | 0.1709 | 0.7848 | 0.8493 | 0.8158 | 73 | 0.6962 | 0.8462 | 0.7639 | 65 | 0.8679 | 0.92 | 0.8932 | 150 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.6667 | 0.8235 | 0.7368 | 34 | 0.7832 | 0.8746 | 0.8264 | 0.9587 |
|
156 |
+
| 0.04 | 84.0 | 8904 | 0.1728 | 0.7875 | 0.8630 | 0.8235 | 73 | 0.7024 | 0.9077 | 0.7919 | 65 | 0.8679 | 0.92 | 0.8932 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7073 | 0.8529 | 0.7733 | 34 | 0.7845 | 0.8917 | 0.8347 | 0.9579 |
|
157 |
+
| 0.0404 | 85.0 | 9010 | 0.1716 | 0.7683 | 0.8630 | 0.8129 | 73 | 0.6786 | 0.8769 | 0.7651 | 65 | 0.8679 | 0.92 | 0.8932 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7073 | 0.8529 | 0.7733 | 34 | 0.7756 | 0.8860 | 0.8271 | 0.9587 |
|
158 |
+
| 0.0364 | 86.0 | 9116 | 0.1696 | 0.7683 | 0.8630 | 0.8129 | 73 | 0.7308 | 0.8769 | 0.7972 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.6667 | 0.8276 | 0.7385 | 29 | 0.7073 | 0.8529 | 0.7733 | 34 | 0.7873 | 0.8860 | 0.8338 | 0.9609 |
|
159 |
+
| 0.0377 | 87.0 | 9222 | 0.1743 | 0.7875 | 0.8630 | 0.8235 | 73 | 0.6706 | 0.8769 | 0.76 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.6667 | 0.8235 | 0.7368 | 34 | 0.775 | 0.8832 | 0.8256 | 0.9582 |
|
160 |
+
| 0.0379 | 88.0 | 9328 | 0.1730 | 0.775 | 0.8493 | 0.8105 | 73 | 0.6951 | 0.8769 | 0.7755 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.7143 | 0.8621 | 0.7813 | 29 | 0.7073 | 0.8529 | 0.7733 | 34 | 0.7854 | 0.8860 | 0.8327 | 0.9594 |
|
161 |
+
| 0.0375 | 89.0 | 9434 | 0.1742 | 0.7875 | 0.8630 | 0.8235 | 73 | 0.6867 | 0.8769 | 0.7703 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.6829 | 0.8235 | 0.7467 | 34 | 0.7809 | 0.8832 | 0.8289 | 0.9584 |
|
162 |
+
| 0.0385 | 90.0 | 9540 | 0.1698 | 0.7875 | 0.8630 | 0.8235 | 73 | 0.7089 | 0.8615 | 0.7778 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.6667 | 0.8235 | 0.7368 | 34 | 0.7843 | 0.8803 | 0.8295 | 0.9591 |
|
163 |
+
| 0.036 | 91.0 | 9646 | 0.1780 | 0.7778 | 0.8630 | 0.8182 | 73 | 0.6588 | 0.8615 | 0.7467 | 65 | 0.8679 | 0.92 | 0.8932 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7073 | 0.8529 | 0.7733 | 34 | 0.7731 | 0.8832 | 0.8245 | 0.9577 |
|
164 |
+
| 0.0377 | 92.0 | 9752 | 0.1737 | 0.7778 | 0.8630 | 0.8182 | 73 | 0.7037 | 0.8769 | 0.7808 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.7143 | 0.8621 | 0.7813 | 29 | 0.7073 | 0.8529 | 0.7733 | 34 | 0.7879 | 0.8889 | 0.8353 | 0.9596 |
|
165 |
+
| 0.0391 | 93.0 | 9858 | 0.1770 | 0.775 | 0.8493 | 0.8105 | 73 | 0.6867 | 0.8769 | 0.7703 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7073 | 0.8529 | 0.7733 | 34 | 0.7809 | 0.8832 | 0.8289 | 0.9587 |
|
166 |
+
| 0.0362 | 94.0 | 9964 | 0.1727 | 0.7875 | 0.8630 | 0.8235 | 73 | 0.7089 | 0.8615 | 0.7778 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.7353 | 0.8621 | 0.7937 | 29 | 0.6667 | 0.8235 | 0.7368 | 34 | 0.7888 | 0.8832 | 0.8333 | 0.9589 |
|
167 |
+
| 0.0372 | 95.0 | 10070 | 0.1736 | 0.7778 | 0.8630 | 0.8182 | 73 | 0.7037 | 0.8769 | 0.7808 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.7353 | 0.8621 | 0.7937 | 29 | 0.7073 | 0.8529 | 0.7733 | 34 | 0.7899 | 0.8889 | 0.8365 | 0.9591 |
|
168 |
+
| 0.0358 | 96.0 | 10176 | 0.1743 | 0.775 | 0.8493 | 0.8105 | 73 | 0.7037 | 0.8769 | 0.7808 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7073 | 0.8529 | 0.7733 | 34 | 0.7848 | 0.8832 | 0.8311 | 0.9589 |
|
169 |
+
| 0.0363 | 97.0 | 10282 | 0.1726 | 0.7778 | 0.8630 | 0.8182 | 73 | 0.7125 | 0.8769 | 0.7862 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.7143 | 0.8621 | 0.7813 | 29 | 0.7073 | 0.8529 | 0.7733 | 34 | 0.7899 | 0.8889 | 0.8365 | 0.9599 |
|
170 |
+
| 0.0354 | 98.0 | 10388 | 0.1751 | 0.775 | 0.8493 | 0.8105 | 73 | 0.7037 | 0.8769 | 0.7808 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7073 | 0.8529 | 0.7733 | 34 | 0.7848 | 0.8832 | 0.8311 | 0.9587 |
|
171 |
+
| 0.0347 | 99.0 | 10494 | 0.1746 | 0.7778 | 0.8630 | 0.8182 | 73 | 0.7037 | 0.8769 | 0.7808 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.7143 | 0.8621 | 0.7813 | 29 | 0.7073 | 0.8529 | 0.7733 | 34 | 0.7879 | 0.8889 | 0.8353 | 0.9591 |
|
172 |
+
| 0.0355 | 100.0 | 10600 | 0.1743 | 0.7778 | 0.8630 | 0.8182 | 73 | 0.7037 | 0.8769 | 0.7808 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7073 | 0.8529 | 0.7733 | 34 | 0.7854 | 0.8860 | 0.8327 | 0.9589 |
|
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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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"config": {
|
3 |
+
"architecture": "prefix_tuning",
|
4 |
+
"bottleneck_size": 512,
|
5 |
+
"cross_prefix": true,
|
6 |
+
"dropout": 0.0,
|
7 |
+
"encoder_prefix": true,
|
8 |
+
"flat": false,
|
9 |
+
"leave_out": [],
|
10 |
+
"non_linearity": "tanh",
|
11 |
+
"prefix_length": 5,
|
12 |
+
"shared_gating": true,
|
13 |
+
"use_gating": false
|
14 |
+
},
|
15 |
+
"config_id": "25a1b954cd3b867c",
|
16 |
+
"hidden_size": 768,
|
17 |
+
"model_class": "BertForTokenClassification",
|
18 |
+
"model_name": "indolem/indobert-base-uncased",
|
19 |
+
"model_type": "bert",
|
20 |
+
"name": "adapter-ner",
|
21 |
+
"version": "0.2.2"
|
22 |
+
}
|
adapter-ner/head_config.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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:c40cc2406e6777078eb2efb125e09344943c0acf7bfacc329640dd387a7b2ec5
|
3 |
+
size 39427092
|
adapter-ner/pytorch_model_head.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f30504637585ef51b32c3561c57967343a3f1a0e95860d8478cd28132559f52b
|
3 |
+
size 35354
|