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-pl50-4
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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-pl50-4
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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: 0.1972
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- Location Precision: 0.8025
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- Location Recall: 0.8904
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- Location F1: 0.8442
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- Location Number: 73
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- Organization Precision: 0.75
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- Organization Recall: 0.7846
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- Organization F1: 0.7669
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- Organization Number: 65
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- Person Precision: 0.8553
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- Person Recall: 0.9067
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- Person F1: 0.8803
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- Person Number: 150
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- Quantity Precision: 0.7353
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- Quantity Recall: 0.8621
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- Quantity F1: 0.7937
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- Quantity Number: 29
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- Time Precision: 0.7838
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- Time Recall: 0.8529
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- Time F1: 0.8169
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- Time Number: 34
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- Overall Precision: 0.8074
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- Overall Recall: 0.8718
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- Overall F1: 0.8384
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- Overall Accuracy: 0.9626
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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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| 0.9784 | 1.0 | 106 | 0.5910 | 0.0 | 0.0 | 0.0 | 73 | 0.0 | 0.0 | 0.0 | 65 | 0.1429 | 0.0133 | 0.0244 | 150 | 0.0 | 0.0 | 0.0 | 29 | 0.0 | 0.0 | 0.0 | 34 | 0.08 | 0.0057 | 0.0106 | 0.8393 |
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| 0.4893 | 2.0 | 212 | 0.3523 | 0.5909 | 0.3562 | 0.4444 | 73 | 0.1111 | 0.1385 | 0.1233 | 65 | 0.5769 | 0.8 | 0.6704 | 150 | 0.2963 | 0.2759 | 0.2857 | 29 | 0.5897 | 0.6765 | 0.6301 | 34 | 0.4662 | 0.5299 | 0.496 | 0.9020 |
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| 0.2876 | 3.0 | 318 | 0.1924 | 0.5833 | 0.6712 | 0.6242 | 73 | 0.4030 | 0.4154 | 0.4091 | 65 | 0.8 | 0.9067 | 0.8500 | 150 | 0.5526 | 0.7241 | 0.6269 | 29 | 0.8333 | 0.8824 | 0.8571 | 34 | 0.6658 | 0.7493 | 0.7051 | 0.9370 |
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| 0.2003 | 4.0 | 424 | 0.1671 | 0.6744 | 0.7945 | 0.7296 | 73 | 0.5050 | 0.7846 | 0.6145 | 65 | 0.8303 | 0.9133 | 0.8698 | 150 | 0.5952 | 0.8621 | 0.7042 | 29 | 0.7949 | 0.9118 | 0.8493 | 34 | 0.6975 | 0.8604 | 0.7704 | 0.9414 |
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| 0.1732 | 5.0 | 530 | 0.1531 | 0.7093 | 0.8356 | 0.7673 | 73 | 0.4815 | 0.8 | 0.6012 | 65 | 0.8344 | 0.9067 | 0.8690 | 150 | 0.6486 | 0.8276 | 0.7273 | 29 | 0.6667 | 0.8824 | 0.7595 | 34 | 0.6902 | 0.8632 | 0.7671 | 0.9468 |
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| 0.1556 | 6.0 | 636 | 0.1712 | 0.6813 | 0.8493 | 0.7561 | 73 | 0.5094 | 0.8308 | 0.6316 | 65 | 0.8415 | 0.92 | 0.8790 | 150 | 0.5106 | 0.8276 | 0.6316 | 29 | 0.5833 | 0.8235 | 0.6829 | 34 | 0.6711 | 0.8718 | 0.7584 | 0.9397 |
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| 0.1437 | 7.0 | 742 | 0.1417 | 0.7326 | 0.8630 | 0.7925 | 73 | 0.5730 | 0.7846 | 0.6623 | 65 | 0.8364 | 0.92 | 0.8762 | 150 | 0.6 | 0.8276 | 0.6957 | 29 | 0.7692 | 0.8824 | 0.8219 | 34 | 0.7303 | 0.8718 | 0.7948 | 0.9535 |
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| 0.1338 | 8.0 | 848 | 0.1463 | 0.6774 | 0.8630 | 0.7590 | 73 | 0.5955 | 0.8154 | 0.6883 | 65 | 0.8571 | 0.92 | 0.8875 | 150 | 0.6 | 0.8276 | 0.6957 | 29 | 0.6744 | 0.8529 | 0.7532 | 34 | 0.7207 | 0.8746 | 0.7902 | 0.9530 |
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| 0.1237 | 9.0 | 954 | 0.1244 | 0.7821 | 0.8356 | 0.8079 | 73 | 0.5699 | 0.8154 | 0.6709 | 65 | 0.8679 | 0.92 | 0.8932 | 150 | 0.6316 | 0.8276 | 0.7164 | 29 | 0.7692 | 0.8824 | 0.8219 | 34 | 0.7518 | 0.8718 | 0.8074 | 0.9572 |
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| 0.1189 | 10.0 | 1060 | 0.1383 | 0.7722 | 0.8356 | 0.8026 | 73 | 0.5761 | 0.8154 | 0.6752 | 65 | 0.8405 | 0.9133 | 0.8754 | 150 | 0.6316 | 0.8276 | 0.7164 | 29 | 0.7895 | 0.8824 | 0.8333 | 34 | 0.7439 | 0.8689 | 0.8016 | 0.9532 |
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| 0.1139 | 11.0 | 1166 | 0.1404 | 0.7875 | 0.8630 | 0.8235 | 73 | 0.6 | 0.7385 | 0.6621 | 65 | 0.8742 | 0.9267 | 0.8997 | 150 | 0.575 | 0.7931 | 0.6667 | 29 | 0.725 | 0.8529 | 0.7838 | 34 | 0.7569 | 0.8604 | 0.8053 | 0.9555 |
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| 0.1056 | 12.0 | 1272 | 0.1330 | 0.7590 | 0.8630 | 0.8077 | 73 | 0.6136 | 0.8308 | 0.7059 | 65 | 0.8528 | 0.9267 | 0.8882 | 150 | 0.6486 | 0.8276 | 0.7273 | 29 | 0.7632 | 0.8529 | 0.8056 | 34 | 0.7555 | 0.8803 | 0.8132 | 0.9579 |
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| 0.1032 | 13.0 | 1378 | 0.1293 | 0.7949 | 0.8493 | 0.8212 | 73 | 0.5684 | 0.8308 | 0.675 | 65 | 0.8589 | 0.9333 | 0.8946 | 150 | 0.6154 | 0.8276 | 0.7059 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.7518 | 0.8803 | 0.8110 | 0.9569 |
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| 0.1013 | 14.0 | 1484 | 0.1408 | 0.7625 | 0.8356 | 0.7974 | 73 | 0.6301 | 0.7077 | 0.6667 | 65 | 0.8395 | 0.9067 | 0.8718 | 150 | 0.6579 | 0.8621 | 0.7463 | 29 | 0.7368 | 0.8235 | 0.7778 | 34 | 0.7570 | 0.8433 | 0.7978 | 0.9564 |
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| 0.0926 | 15.0 | 1590 | 0.1315 | 0.7949 | 0.8493 | 0.8212 | 73 | 0.5824 | 0.8154 | 0.6795 | 65 | 0.8589 | 0.9333 | 0.8946 | 150 | 0.6667 | 0.8966 | 0.7647 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.7617 | 0.8832 | 0.8179 | 0.9569 |
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| 0.0913 | 16.0 | 1696 | 0.1483 | 0.7848 | 0.8493 | 0.8158 | 73 | 0.6456 | 0.7846 | 0.7083 | 65 | 0.8485 | 0.9333 | 0.8889 | 150 | 0.5455 | 0.8276 | 0.6575 | 29 | 0.7179 | 0.8235 | 0.7671 | 34 | 0.7512 | 0.8689 | 0.8058 | 0.9555 |
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| 0.0888 | 17.0 | 1802 | 0.1363 | 0.7692 | 0.8219 | 0.7947 | 73 | 0.6463 | 0.8154 | 0.7211 | 65 | 0.8537 | 0.9333 | 0.8917 | 150 | 0.7647 | 0.8966 | 0.8254 | 29 | 0.7 | 0.8235 | 0.7568 | 34 | 0.7714 | 0.8746 | 0.8198 | 0.9584 |
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| 0.0861 | 18.0 | 1908 | 0.1478 | 0.7229 | 0.8219 | 0.7692 | 73 | 0.6310 | 0.8154 | 0.7114 | 65 | 0.8598 | 0.94 | 0.8981 | 150 | 0.6842 | 0.8966 | 0.7761 | 29 | 0.7368 | 0.8235 | 0.7778 | 34 | 0.7568 | 0.8775 | 0.8127 | 0.9559 |
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| 0.0862 | 19.0 | 2014 | 0.1285 | 0.8026 | 0.8356 | 0.8188 | 73 | 0.6463 | 0.8154 | 0.7211 | 65 | 0.8571 | 0.92 | 0.8875 | 150 | 0.7429 | 0.8966 | 0.8125 | 29 | 0.7179 | 0.8235 | 0.7671 | 34 | 0.7786 | 0.8718 | 0.8226 | 0.9611 |
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| 0.0787 | 20.0 | 2120 | 0.1397 | 0.7722 | 0.8356 | 0.8026 | 73 | 0.6265 | 0.8 | 0.7027 | 65 | 0.8580 | 0.9267 | 0.8910 | 150 | 0.625 | 0.8621 | 0.7246 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.765 | 0.8718 | 0.8149 | 0.9569 |
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| 0.0787 | 21.0 | 2226 | 0.1347 | 0.7821 | 0.8356 | 0.8079 | 73 | 0.6667 | 0.7385 | 0.7007 | 65 | 0.8519 | 0.92 | 0.8846 | 150 | 0.5111 | 0.7931 | 0.6216 | 29 | 0.8286 | 0.8529 | 0.8406 | 34 | 0.7628 | 0.8519 | 0.8048 | 0.9577 |
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| 0.0776 | 22.0 | 2332 | 0.1375 | 0.7531 | 0.8356 | 0.7922 | 73 | 0.5761 | 0.8154 | 0.6752 | 65 | 0.8782 | 0.9133 | 0.8954 | 150 | 0.7143 | 0.8621 | 0.7813 | 29 | 0.8108 | 0.8824 | 0.8451 | 34 | 0.7631 | 0.8718 | 0.8138 | 0.9557 |
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| 0.0735 | 23.0 | 2438 | 0.1337 | 0.7848 | 0.8493 | 0.8158 | 73 | 0.6795 | 0.8154 | 0.7413 | 65 | 0.8466 | 0.92 | 0.8818 | 150 | 0.7576 | 0.8621 | 0.8065 | 29 | 0.8378 | 0.9118 | 0.8732 | 34 | 0.7923 | 0.8803 | 0.8340 | 0.9619 |
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| 0.073 | 24.0 | 2544 | 0.1394 | 0.7722 | 0.8356 | 0.8026 | 73 | 0.5955 | 0.8154 | 0.6883 | 65 | 0.8742 | 0.9267 | 0.8997 | 150 | 0.6944 | 0.8621 | 0.7692 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.7694 | 0.8746 | 0.8187 | 0.9582 |
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| 0.0713 | 25.0 | 2650 | 0.1423 | 0.7595 | 0.8219 | 0.7895 | 73 | 0.6625 | 0.8154 | 0.7310 | 65 | 0.8679 | 0.92 | 0.8932 | 150 | 0.6 | 0.8276 | 0.6957 | 29 | 0.7568 | 0.8235 | 0.7887 | 34 | 0.7671 | 0.8632 | 0.8123 | 0.9599 |
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| 0.0672 | 26.0 | 2756 | 0.1509 | 0.75 | 0.8219 | 0.7843 | 73 | 0.65 | 0.8 | 0.7172 | 65 | 0.8758 | 0.94 | 0.9068 | 150 | 0.5854 | 0.8276 | 0.6857 | 29 | 0.7 | 0.8235 | 0.7568 | 34 | 0.7587 | 0.8689 | 0.8101 | 0.9569 |
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| 0.0651 | 27.0 | 2862 | 0.1423 | 0.7662 | 0.8082 | 0.7867 | 73 | 0.6429 | 0.8308 | 0.7248 | 65 | 0.8671 | 0.9133 | 0.8896 | 150 | 0.6316 | 0.8276 | 0.7164 | 29 | 0.7838 | 0.8529 | 0.8169 | 34 | 0.7690 | 0.8632 | 0.8134 | 0.9582 |
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| 0.0659 | 28.0 | 2968 | 0.1320 | 0.8182 | 0.8630 | 0.8400 | 73 | 0.6667 | 0.7692 | 0.7143 | 65 | 0.8846 | 0.92 | 0.9020 | 150 | 0.7353 | 0.8621 | 0.7937 | 29 | 0.8333 | 0.8824 | 0.8571 | 34 | 0.8095 | 0.8718 | 0.8395 | 0.9616 |
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| 0.0619 | 29.0 | 3074 | 0.1354 | 0.8077 | 0.8630 | 0.8344 | 73 | 0.5833 | 0.8615 | 0.6957 | 65 | 0.9026 | 0.9267 | 0.9145 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.8378 | 0.9118 | 0.8732 | 34 | 0.7825 | 0.8917 | 0.8336 | 0.9616 |
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102 |
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| 0.06 | 30.0 | 3180 | 0.1395 | 0.7949 | 0.8493 | 0.8212 | 73 | 0.6456 | 0.7846 | 0.7083 | 65 | 0.8726 | 0.9133 | 0.8925 | 150 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.7568 | 0.8235 | 0.7887 | 34 | 0.7865 | 0.8604 | 0.8218 | 0.9614 |
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103 |
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| 0.0597 | 31.0 | 3286 | 0.1365 | 0.7805 | 0.8767 | 0.8258 | 73 | 0.6528 | 0.7231 | 0.6861 | 65 | 0.8968 | 0.9267 | 0.9115 | 150 | 0.6757 | 0.8621 | 0.7576 | 29 | 0.8108 | 0.8824 | 0.8451 | 34 | 0.7963 | 0.8689 | 0.8311 | 0.9623 |
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| 0.0571 | 32.0 | 3392 | 0.1599 | 0.8101 | 0.8767 | 0.8421 | 73 | 0.5914 | 0.8462 | 0.6962 | 65 | 0.8917 | 0.9333 | 0.9121 | 150 | 0.6410 | 0.8621 | 0.7353 | 29 | 0.7778 | 0.8235 | 0.8000 | 34 | 0.7723 | 0.8889 | 0.8265 | 0.9572 |
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| 0.0567 | 33.0 | 3498 | 0.1453 | 0.8125 | 0.8904 | 0.8497 | 73 | 0.6625 | 0.8154 | 0.7310 | 65 | 0.8854 | 0.9267 | 0.9055 | 150 | 0.7353 | 0.8621 | 0.7937 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.8036 | 0.8860 | 0.8428 | 0.9633 |
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| 0.0538 | 34.0 | 3604 | 0.1439 | 0.7692 | 0.8219 | 0.7947 | 73 | 0.6582 | 0.8 | 0.7222 | 65 | 0.8671 | 0.9133 | 0.8896 | 150 | 0.7647 | 0.8966 | 0.8254 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.7896 | 0.8661 | 0.8261 | 0.9619 |
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107 |
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| 0.055 | 35.0 | 3710 | 0.1483 | 0.7654 | 0.8493 | 0.8052 | 73 | 0.6579 | 0.7692 | 0.7092 | 65 | 0.8734 | 0.92 | 0.8961 | 150 | 0.6571 | 0.7931 | 0.7188 | 29 | 0.7568 | 0.8235 | 0.7887 | 34 | 0.7778 | 0.8575 | 0.8157 | 0.9591 |
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108 |
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| 0.051 | 36.0 | 3816 | 0.1518 | 0.8133 | 0.8356 | 0.8243 | 73 | 0.625 | 0.7692 | 0.6897 | 65 | 0.8634 | 0.9267 | 0.8939 | 150 | 0.6944 | 0.8621 | 0.7692 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.7835 | 0.8661 | 0.8227 | 0.9587 |
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| 0.0525 | 37.0 | 3922 | 0.1550 | 0.7949 | 0.8493 | 0.8212 | 73 | 0.6494 | 0.7692 | 0.7042 | 65 | 0.8790 | 0.92 | 0.8990 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7568 | 0.8235 | 0.7887 | 34 | 0.7865 | 0.8604 | 0.8218 | 0.9587 |
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| 0.0513 | 38.0 | 4028 | 0.1399 | 0.8077 | 0.8630 | 0.8344 | 73 | 0.7143 | 0.7692 | 0.7407 | 65 | 0.8726 | 0.9133 | 0.8925 | 150 | 0.6757 | 0.8621 | 0.7576 | 29 | 0.7838 | 0.8529 | 0.8169 | 34 | 0.8021 | 0.8661 | 0.8329 | 0.9616 |
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| 0.0511 | 39.0 | 4134 | 0.1429 | 0.8312 | 0.8767 | 0.8533 | 73 | 0.6386 | 0.8154 | 0.7162 | 65 | 0.8688 | 0.9267 | 0.8968 | 150 | 0.7059 | 0.8276 | 0.7619 | 29 | 0.7632 | 0.8529 | 0.8056 | 34 | 0.7883 | 0.8803 | 0.8318 | 0.9614 |
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| 0.0479 | 40.0 | 4240 | 0.1604 | 0.7975 | 0.8630 | 0.8289 | 73 | 0.5778 | 0.8 | 0.6710 | 65 | 0.8910 | 0.9267 | 0.9085 | 150 | 0.6316 | 0.8276 | 0.7164 | 29 | 0.7568 | 0.8235 | 0.7887 | 34 | 0.765 | 0.8718 | 0.8149 | 0.9567 |
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+
| 0.0478 | 41.0 | 4346 | 0.1464 | 0.8312 | 0.8767 | 0.8533 | 73 | 0.6538 | 0.7846 | 0.7133 | 65 | 0.8671 | 0.9133 | 0.8896 | 150 | 0.7941 | 0.9310 | 0.8571 | 29 | 0.8333 | 0.8824 | 0.8571 | 34 | 0.8068 | 0.8803 | 0.8420 | 0.9621 |
|
114 |
+
| 0.0452 | 42.0 | 4452 | 0.1471 | 0.8052 | 0.8493 | 0.8267 | 73 | 0.6582 | 0.8 | 0.7222 | 65 | 0.8797 | 0.9267 | 0.9026 | 150 | 0.7143 | 0.8621 | 0.7813 | 29 | 0.7838 | 0.8529 | 0.8169 | 34 | 0.7953 | 0.8746 | 0.8331 | 0.9616 |
|
115 |
+
| 0.0444 | 43.0 | 4558 | 0.1581 | 0.8025 | 0.8904 | 0.8442 | 73 | 0.6933 | 0.8 | 0.7429 | 65 | 0.8774 | 0.9067 | 0.8918 | 150 | 0.7143 | 0.8621 | 0.7813 | 29 | 0.7632 | 0.8529 | 0.8056 | 34 | 0.7995 | 0.8746 | 0.8354 | 0.9619 |
|
116 |
+
| 0.0444 | 44.0 | 4664 | 0.1480 | 0.84 | 0.8630 | 0.8514 | 73 | 0.6667 | 0.8 | 0.7273 | 65 | 0.8790 | 0.92 | 0.8990 | 150 | 0.7647 | 0.8966 | 0.8254 | 29 | 0.8824 | 0.8824 | 0.8824 | 34 | 0.8175 | 0.8803 | 0.8477 | 0.9643 |
|
117 |
+
| 0.0449 | 45.0 | 4770 | 0.1640 | 0.8101 | 0.8767 | 0.8421 | 73 | 0.6071 | 0.7846 | 0.6846 | 65 | 0.8726 | 0.9133 | 0.8925 | 150 | 0.6486 | 0.8276 | 0.7273 | 29 | 0.8571 | 0.8824 | 0.8696 | 34 | 0.7806 | 0.8718 | 0.8237 | 0.9584 |
|
118 |
+
| 0.0415 | 46.0 | 4876 | 0.1475 | 0.8205 | 0.8767 | 0.8477 | 73 | 0.7101 | 0.7538 | 0.7313 | 65 | 0.8599 | 0.9 | 0.8795 | 150 | 0.7353 | 0.8621 | 0.7937 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.8075 | 0.8604 | 0.8331 | 0.9621 |
|
119 |
+
| 0.0427 | 47.0 | 4982 | 0.1591 | 0.8101 | 0.8767 | 0.8421 | 73 | 0.68 | 0.7846 | 0.7286 | 65 | 0.8519 | 0.92 | 0.8846 | 150 | 0.7143 | 0.8621 | 0.7813 | 29 | 0.8108 | 0.8824 | 0.8451 | 34 | 0.7938 | 0.8775 | 0.8336 | 0.9606 |
|
120 |
+
| 0.0424 | 48.0 | 5088 | 0.1640 | 0.7975 | 0.8630 | 0.8289 | 73 | 0.7059 | 0.7385 | 0.7218 | 65 | 0.8625 | 0.92 | 0.8903 | 150 | 0.7353 | 0.8621 | 0.7937 | 29 | 0.7568 | 0.8235 | 0.7887 | 34 | 0.7989 | 0.8604 | 0.8285 | 0.9611 |
|
121 |
+
| 0.0408 | 49.0 | 5194 | 0.1615 | 0.8025 | 0.8904 | 0.8442 | 73 | 0.7101 | 0.7538 | 0.7313 | 65 | 0.8790 | 0.92 | 0.8990 | 150 | 0.6757 | 0.8621 | 0.7576 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.8053 | 0.8718 | 0.8372 | 0.9621 |
|
122 |
+
| 0.0403 | 50.0 | 5300 | 0.1616 | 0.8025 | 0.8904 | 0.8442 | 73 | 0.6667 | 0.7692 | 0.7143 | 65 | 0.8616 | 0.9133 | 0.8867 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.7838 | 0.8529 | 0.8169 | 34 | 0.7881 | 0.8689 | 0.8266 | 0.9599 |
|
123 |
+
| 0.0374 | 51.0 | 5406 | 0.1660 | 0.8025 | 0.8904 | 0.8442 | 73 | 0.7313 | 0.7538 | 0.7424 | 65 | 0.85 | 0.9067 | 0.8774 | 150 | 0.7143 | 0.8621 | 0.7813 | 29 | 0.8571 | 0.8824 | 0.8696 | 34 | 0.8069 | 0.8689 | 0.8368 | 0.9628 |
|
124 |
+
| 0.0382 | 52.0 | 5512 | 0.1770 | 0.7949 | 0.8493 | 0.8212 | 73 | 0.6279 | 0.8308 | 0.7152 | 65 | 0.8671 | 0.9133 | 0.8896 | 150 | 0.7353 | 0.8621 | 0.7937 | 29 | 0.7368 | 0.8235 | 0.7778 | 34 | 0.7766 | 0.8718 | 0.8215 | 0.9577 |
|
125 |
+
| 0.038 | 53.0 | 5618 | 0.1719 | 0.7952 | 0.9041 | 0.8462 | 73 | 0.6986 | 0.7846 | 0.7391 | 65 | 0.8571 | 0.92 | 0.8875 | 150 | 0.7143 | 0.8621 | 0.7813 | 29 | 0.7778 | 0.8235 | 0.8000 | 34 | 0.7938 | 0.8775 | 0.8336 | 0.9596 |
|
126 |
+
| 0.0362 | 54.0 | 5724 | 0.1769 | 0.8 | 0.8767 | 0.8366 | 73 | 0.6623 | 0.7846 | 0.7183 | 65 | 0.8553 | 0.9067 | 0.8803 | 150 | 0.7879 | 0.8966 | 0.8387 | 29 | 0.8333 | 0.8824 | 0.8571 | 34 | 0.7974 | 0.8746 | 0.8342 | 0.9589 |
|
127 |
+
| 0.034 | 55.0 | 5830 | 0.1652 | 0.7901 | 0.8767 | 0.8312 | 73 | 0.68 | 0.7846 | 0.7286 | 65 | 0.8718 | 0.9067 | 0.8889 | 150 | 0.7941 | 0.9310 | 0.8571 | 29 | 0.8333 | 0.8824 | 0.8571 | 34 | 0.8063 | 0.8775 | 0.8404 | 0.9616 |
|
128 |
+
| 0.033 | 56.0 | 5936 | 0.1687 | 0.8077 | 0.8630 | 0.8344 | 73 | 0.7424 | 0.7538 | 0.7481 | 65 | 0.8562 | 0.9133 | 0.8839 | 150 | 0.7353 | 0.8621 | 0.7937 | 29 | 0.8108 | 0.8824 | 0.8451 | 34 | 0.8107 | 0.8661 | 0.8375 | 0.9623 |
|
129 |
+
| 0.0357 | 57.0 | 6042 | 0.1678 | 0.8289 | 0.8630 | 0.8456 | 73 | 0.7869 | 0.7385 | 0.7619 | 65 | 0.8608 | 0.9067 | 0.8831 | 150 | 0.7429 | 0.8966 | 0.8125 | 29 | 0.7838 | 0.8529 | 0.8169 | 34 | 0.8229 | 0.8604 | 0.8412 | 0.9619 |
|
130 |
+
| 0.0341 | 58.0 | 6148 | 0.1673 | 0.8312 | 0.8767 | 0.8533 | 73 | 0.7627 | 0.6923 | 0.7258 | 65 | 0.8654 | 0.9 | 0.8824 | 150 | 0.7647 | 0.8966 | 0.8254 | 29 | 0.7778 | 0.8235 | 0.8000 | 34 | 0.8232 | 0.8490 | 0.8359 | 0.9611 |
|
131 |
+
| 0.0324 | 59.0 | 6254 | 0.1702 | 0.8 | 0.8767 | 0.8366 | 73 | 0.6842 | 0.8 | 0.7376 | 65 | 0.8726 | 0.9133 | 0.8925 | 150 | 0.7273 | 0.8276 | 0.7742 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.8010 | 0.8718 | 0.8349 | 0.9633 |
|
132 |
+
| 0.0333 | 60.0 | 6360 | 0.1655 | 0.8333 | 0.8904 | 0.8609 | 73 | 0.7206 | 0.7538 | 0.7368 | 65 | 0.8896 | 0.9133 | 0.9013 | 150 | 0.7576 | 0.8621 | 0.8065 | 29 | 0.8333 | 0.8824 | 0.8571 | 34 | 0.8293 | 0.8718 | 0.8500 | 0.9658 |
|
133 |
+
| 0.0327 | 61.0 | 6466 | 0.1797 | 0.8182 | 0.8630 | 0.8400 | 73 | 0.6933 | 0.8 | 0.7429 | 65 | 0.8466 | 0.92 | 0.8818 | 150 | 0.6857 | 0.8276 | 0.75 | 29 | 0.8571 | 0.8824 | 0.8696 | 34 | 0.7974 | 0.8746 | 0.8342 | 0.9609 |
|
134 |
+
| 0.0315 | 62.0 | 6572 | 0.1808 | 0.8101 | 0.8767 | 0.8421 | 73 | 0.7042 | 0.7692 | 0.7353 | 65 | 0.8553 | 0.9067 | 0.8803 | 150 | 0.7353 | 0.8621 | 0.7937 | 29 | 0.7778 | 0.8235 | 0.8000 | 34 | 0.7995 | 0.8632 | 0.8301 | 0.9601 |
|
135 |
+
| 0.0295 | 63.0 | 6678 | 0.1738 | 0.8148 | 0.9041 | 0.8571 | 73 | 0.6806 | 0.7538 | 0.7153 | 65 | 0.8625 | 0.92 | 0.8903 | 150 | 0.8182 | 0.9310 | 0.8710 | 29 | 0.8333 | 0.8824 | 0.8571 | 34 | 0.8115 | 0.8832 | 0.8458 | 0.9626 |
|
136 |
+
| 0.0296 | 64.0 | 6784 | 0.1676 | 0.8 | 0.8767 | 0.8366 | 73 | 0.7313 | 0.7538 | 0.7424 | 65 | 0.8571 | 0.92 | 0.8875 | 150 | 0.7941 | 0.9310 | 0.8571 | 29 | 0.8333 | 0.8824 | 0.8571 | 34 | 0.8148 | 0.8775 | 0.8450 | 0.9631 |
|
137 |
+
| 0.0297 | 65.0 | 6890 | 0.1690 | 0.8312 | 0.8767 | 0.8533 | 73 | 0.7183 | 0.7846 | 0.75 | 65 | 0.8645 | 0.8933 | 0.8787 | 150 | 0.7353 | 0.8621 | 0.7937 | 29 | 0.8 | 0.8235 | 0.8116 | 34 | 0.8118 | 0.8604 | 0.8354 | 0.9621 |
|
138 |
+
| 0.028 | 66.0 | 6996 | 0.1747 | 0.7875 | 0.8630 | 0.8235 | 73 | 0.7463 | 0.7692 | 0.7576 | 65 | 0.8679 | 0.92 | 0.8932 | 150 | 0.8182 | 0.9310 | 0.8710 | 29 | 0.8333 | 0.8824 | 0.8571 | 34 | 0.8213 | 0.8775 | 0.8485 | 0.9648 |
|
139 |
+
| 0.0278 | 67.0 | 7102 | 0.1767 | 0.8182 | 0.8630 | 0.8400 | 73 | 0.6986 | 0.7846 | 0.7391 | 65 | 0.8645 | 0.8933 | 0.8787 | 150 | 0.7879 | 0.8966 | 0.8387 | 29 | 0.8333 | 0.8824 | 0.8571 | 34 | 0.8128 | 0.8661 | 0.8386 | 0.9616 |
|
140 |
+
| 0.0292 | 68.0 | 7208 | 0.1809 | 0.7875 | 0.8630 | 0.8235 | 73 | 0.6849 | 0.7692 | 0.7246 | 65 | 0.8954 | 0.9133 | 0.9043 | 150 | 0.7647 | 0.8966 | 0.8254 | 29 | 0.7838 | 0.8529 | 0.8169 | 34 | 0.8090 | 0.8689 | 0.8379 | 0.9626 |
|
141 |
+
| 0.0264 | 69.0 | 7314 | 0.1725 | 0.8125 | 0.8904 | 0.8497 | 73 | 0.6579 | 0.7692 | 0.7092 | 65 | 0.8782 | 0.9133 | 0.8954 | 150 | 0.8182 | 0.9310 | 0.8710 | 29 | 0.8333 | 0.8824 | 0.8571 | 34 | 0.8110 | 0.8803 | 0.8443 | 0.9641 |
|
142 |
+
| 0.0259 | 70.0 | 7420 | 0.1752 | 0.8228 | 0.8904 | 0.8553 | 73 | 0.7083 | 0.7846 | 0.7445 | 65 | 0.8782 | 0.9133 | 0.8954 | 150 | 0.7143 | 0.8621 | 0.7813 | 29 | 0.8333 | 0.8824 | 0.8571 | 34 | 0.8148 | 0.8775 | 0.8450 | 0.9638 |
|
143 |
+
| 0.0274 | 71.0 | 7526 | 0.1907 | 0.8228 | 0.8904 | 0.8553 | 73 | 0.7083 | 0.7846 | 0.7445 | 65 | 0.8509 | 0.9133 | 0.8810 | 150 | 0.7429 | 0.8966 | 0.8125 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.8042 | 0.8775 | 0.8392 | 0.9611 |
|
144 |
+
| 0.0273 | 72.0 | 7632 | 0.1915 | 0.8125 | 0.8904 | 0.8497 | 73 | 0.7353 | 0.7692 | 0.7519 | 65 | 0.8491 | 0.9 | 0.8738 | 150 | 0.7647 | 0.8966 | 0.8254 | 29 | 0.7368 | 0.8235 | 0.7778 | 34 | 0.8021 | 0.8661 | 0.8329 | 0.9599 |
|
145 |
+
| 0.0279 | 73.0 | 7738 | 0.1847 | 0.7975 | 0.8630 | 0.8289 | 73 | 0.6753 | 0.8 | 0.7324 | 65 | 0.8553 | 0.9067 | 0.8803 | 150 | 0.7941 | 0.9310 | 0.8571 | 29 | 0.7778 | 0.8235 | 0.8000 | 34 | 0.7948 | 0.8718 | 0.8315 | 0.9614 |
|
146 |
+
| 0.0267 | 74.0 | 7844 | 0.1840 | 0.8101 | 0.8767 | 0.8421 | 73 | 0.7424 | 0.7538 | 0.7481 | 65 | 0.8438 | 0.9 | 0.8710 | 150 | 0.7429 | 0.8966 | 0.8125 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.8059 | 0.8632 | 0.8336 | 0.9626 |
|
147 |
+
| 0.0257 | 75.0 | 7950 | 0.1875 | 0.7952 | 0.9041 | 0.8462 | 73 | 0.6543 | 0.8154 | 0.7260 | 65 | 0.85 | 0.9067 | 0.8774 | 150 | 0.7941 | 0.9310 | 0.8571 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.7893 | 0.8860 | 0.8349 | 0.9619 |
|
148 |
+
| 0.0257 | 76.0 | 8056 | 0.1842 | 0.8101 | 0.8767 | 0.8421 | 73 | 0.6849 | 0.7692 | 0.7246 | 65 | 0.8710 | 0.9 | 0.8852 | 150 | 0.7941 | 0.9310 | 0.8571 | 29 | 0.8333 | 0.8824 | 0.8571 | 34 | 0.8117 | 0.8718 | 0.8407 | 0.9628 |
|
149 |
+
| 0.0248 | 77.0 | 8162 | 0.1978 | 0.7975 | 0.8630 | 0.8289 | 73 | 0.6667 | 0.7692 | 0.7143 | 65 | 0.8544 | 0.9 | 0.8766 | 150 | 0.7879 | 0.8966 | 0.8387 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.7953 | 0.8632 | 0.8279 | 0.9589 |
|
150 |
+
| 0.0248 | 78.0 | 8268 | 0.1951 | 0.7683 | 0.8630 | 0.8129 | 73 | 0.7143 | 0.7692 | 0.7407 | 65 | 0.85 | 0.9067 | 0.8774 | 150 | 0.7941 | 0.9310 | 0.8571 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.7984 | 0.8689 | 0.8322 | 0.9606 |
|
151 |
+
| 0.0237 | 79.0 | 8374 | 0.1940 | 0.8025 | 0.8904 | 0.8442 | 73 | 0.7183 | 0.7846 | 0.75 | 65 | 0.8590 | 0.8933 | 0.8758 | 150 | 0.7647 | 0.8966 | 0.8254 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.8069 | 0.8689 | 0.8368 | 0.9604 |
|
152 |
+
| 0.0261 | 80.0 | 8480 | 0.1934 | 0.8 | 0.8767 | 0.8366 | 73 | 0.7429 | 0.8 | 0.7704 | 65 | 0.8438 | 0.9 | 0.8710 | 150 | 0.6944 | 0.8621 | 0.7692 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.7984 | 0.8689 | 0.8322 | 0.9614 |
|
153 |
+
| 0.0234 | 81.0 | 8586 | 0.1913 | 0.8025 | 0.8904 | 0.8442 | 73 | 0.7246 | 0.7692 | 0.7463 | 65 | 0.8654 | 0.9 | 0.8824 | 150 | 0.75 | 0.9310 | 0.8308 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.8095 | 0.8718 | 0.8395 | 0.9626 |
|
154 |
+
| 0.0217 | 82.0 | 8692 | 0.1952 | 0.8025 | 0.8904 | 0.8442 | 73 | 0.6986 | 0.7846 | 0.7391 | 65 | 0.8599 | 0.9 | 0.8795 | 150 | 0.8182 | 0.9310 | 0.8710 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.8079 | 0.8746 | 0.8399 | 0.9623 |
|
155 |
+
| 0.0234 | 83.0 | 8798 | 0.1946 | 0.8025 | 0.8904 | 0.8442 | 73 | 0.7846 | 0.7846 | 0.7846 | 65 | 0.8671 | 0.9133 | 0.8896 | 150 | 0.7941 | 0.9310 | 0.8571 | 29 | 0.8333 | 0.8824 | 0.8571 | 34 | 0.8289 | 0.8832 | 0.8552 | 0.9655 |
|
156 |
+
| 0.0237 | 84.0 | 8904 | 0.1982 | 0.7927 | 0.8904 | 0.8387 | 73 | 0.7246 | 0.7692 | 0.7463 | 65 | 0.8616 | 0.9133 | 0.8867 | 150 | 0.7222 | 0.8966 | 0.8000 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.8037 | 0.8746 | 0.8377 | 0.9616 |
|
157 |
+
| 0.0247 | 85.0 | 9010 | 0.2003 | 0.8025 | 0.8904 | 0.8442 | 73 | 0.7083 | 0.7846 | 0.7445 | 65 | 0.8616 | 0.9133 | 0.8867 | 150 | 0.7143 | 0.8621 | 0.7813 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.8016 | 0.8746 | 0.8365 | 0.9619 |
|
158 |
+
| 0.0218 | 86.0 | 9116 | 0.1952 | 0.8 | 0.8767 | 0.8366 | 73 | 0.7042 | 0.7692 | 0.7353 | 65 | 0.8726 | 0.9133 | 0.8925 | 150 | 0.7941 | 0.9310 | 0.8571 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.8122 | 0.8746 | 0.8422 | 0.9641 |
|
159 |
+
| 0.0224 | 87.0 | 9222 | 0.1952 | 0.8125 | 0.8904 | 0.8497 | 73 | 0.7391 | 0.7846 | 0.7612 | 65 | 0.8671 | 0.9133 | 0.8896 | 150 | 0.7143 | 0.8621 | 0.7813 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.8122 | 0.8746 | 0.8422 | 0.9641 |
|
160 |
+
| 0.0211 | 88.0 | 9328 | 0.1970 | 0.8 | 0.8767 | 0.8366 | 73 | 0.6892 | 0.7846 | 0.7338 | 65 | 0.8726 | 0.9133 | 0.8925 | 150 | 0.7143 | 0.8621 | 0.7813 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.8010 | 0.8718 | 0.8349 | 0.9621 |
|
161 |
+
| 0.021 | 89.0 | 9434 | 0.2001 | 0.7975 | 0.8630 | 0.8289 | 73 | 0.7183 | 0.7846 | 0.75 | 65 | 0.8553 | 0.9067 | 0.8803 | 150 | 0.7143 | 0.8621 | 0.7813 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.8 | 0.8661 | 0.8317 | 0.9614 |
|
162 |
+
| 0.0216 | 90.0 | 9540 | 0.1966 | 0.7949 | 0.8493 | 0.8212 | 73 | 0.7391 | 0.7846 | 0.7612 | 65 | 0.8671 | 0.9133 | 0.8896 | 150 | 0.7353 | 0.8621 | 0.7937 | 29 | 0.7838 | 0.8529 | 0.8169 | 34 | 0.8085 | 0.8661 | 0.8363 | 0.9631 |
|
163 |
+
| 0.0217 | 91.0 | 9646 | 0.1958 | 0.8 | 0.8767 | 0.8366 | 73 | 0.7083 | 0.7846 | 0.7445 | 65 | 0.8616 | 0.9133 | 0.8867 | 150 | 0.7647 | 0.8966 | 0.8254 | 29 | 0.8056 | 0.8529 | 0.8286 | 34 | 0.8058 | 0.8746 | 0.8388 | 0.9626 |
|
164 |
+
| 0.0198 | 92.0 | 9752 | 0.1979 | 0.8 | 0.8767 | 0.8366 | 73 | 0.7391 | 0.7846 | 0.7612 | 65 | 0.8671 | 0.9133 | 0.8896 | 150 | 0.7647 | 0.8966 | 0.8254 | 29 | 0.7838 | 0.8529 | 0.8169 | 34 | 0.8122 | 0.8746 | 0.8422 | 0.9636 |
|
165 |
+
| 0.0205 | 93.0 | 9858 | 0.1975 | 0.7975 | 0.8630 | 0.8289 | 73 | 0.75 | 0.7846 | 0.7669 | 65 | 0.8671 | 0.9133 | 0.8896 | 150 | 0.7429 | 0.8966 | 0.8125 | 29 | 0.8108 | 0.8824 | 0.8451 | 34 | 0.8143 | 0.8746 | 0.8434 | 0.9636 |
|
166 |
+
| 0.0206 | 94.0 | 9964 | 0.1997 | 0.7975 | 0.8630 | 0.8289 | 73 | 0.7286 | 0.7846 | 0.7556 | 65 | 0.8662 | 0.9067 | 0.8860 | 150 | 0.7429 | 0.8966 | 0.8125 | 29 | 0.7838 | 0.8529 | 0.8169 | 34 | 0.8069 | 0.8689 | 0.8368 | 0.9623 |
|
167 |
+
| 0.0214 | 95.0 | 10070 | 0.1992 | 0.7927 | 0.8904 | 0.8387 | 73 | 0.7083 | 0.7846 | 0.7445 | 65 | 0.8553 | 0.9067 | 0.8803 | 150 | 0.7647 | 0.8966 | 0.8254 | 29 | 0.7838 | 0.8529 | 0.8169 | 34 | 0.7995 | 0.8746 | 0.8354 | 0.9614 |
|
168 |
+
| 0.0208 | 96.0 | 10176 | 0.1982 | 0.7831 | 0.8904 | 0.8333 | 73 | 0.75 | 0.7846 | 0.7669 | 65 | 0.8553 | 0.9067 | 0.8803 | 150 | 0.7353 | 0.8621 | 0.7937 | 29 | 0.8108 | 0.8824 | 0.8451 | 34 | 0.8058 | 0.8746 | 0.8388 | 0.9623 |
|
169 |
+
| 0.0217 | 97.0 | 10282 | 0.1967 | 0.8025 | 0.8904 | 0.8442 | 73 | 0.75 | 0.7846 | 0.7669 | 65 | 0.8608 | 0.9067 | 0.8831 | 150 | 0.7353 | 0.8621 | 0.7937 | 29 | 0.7838 | 0.8529 | 0.8169 | 34 | 0.8095 | 0.8718 | 0.8395 | 0.9631 |
|
170 |
+
| 0.0205 | 98.0 | 10388 | 0.1988 | 0.7927 | 0.8904 | 0.8387 | 73 | 0.75 | 0.7846 | 0.7669 | 65 | 0.8553 | 0.9067 | 0.8803 | 150 | 0.7353 | 0.8621 | 0.7937 | 29 | 0.7838 | 0.8529 | 0.8169 | 34 | 0.8053 | 0.8718 | 0.8372 | 0.9621 |
|
171 |
+
| 0.0204 | 99.0 | 10494 | 0.1968 | 0.8025 | 0.8904 | 0.8442 | 73 | 0.75 | 0.7846 | 0.7669 | 65 | 0.8608 | 0.9067 | 0.8831 | 150 | 0.7143 | 0.8621 | 0.7813 | 29 | 0.7838 | 0.8529 | 0.8169 | 34 | 0.8074 | 0.8718 | 0.8384 | 0.9628 |
|
172 |
+
| 0.022 | 100.0 | 10600 | 0.1972 | 0.8025 | 0.8904 | 0.8442 | 73 | 0.75 | 0.7846 | 0.7669 | 65 | 0.8553 | 0.9067 | 0.8803 | 150 | 0.7353 | 0.8621 | 0.7937 | 29 | 0.7838 | 0.8529 | 0.8169 | 34 | 0.8074 | 0.8718 | 0.8384 | 0.9626 |
|
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 |
+
{
|
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": 50,
|
12 |
+
"shared_gating": true,
|
13 |
+
"use_gating": false
|
14 |
+
},
|
15 |
+
"config_id": "516cc5189dd85939",
|
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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|
|
|
|
|
|
|
|
|
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:c75500c908699fc08e9112556fb5103be3a83ae38bfbf03c68fb989a11ed5efb
|
3 |
+
size 39565332
|
adapter-ner/pytorch_model_head.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:08adba259f6f9b87a6c1599a9fb7aac169b4306b7be47b6c64f9c5ddf5f7ed3b
|
3 |
+
size 35354
|