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nerui-seq_bn-rf64-1

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  1. README.md +172 -0
  2. adapter-ner/adapter_config.json +42 -0
  3. adapter-ner/head_config.json +19 -0
  4. adapter-ner/pytorch_adapter.bin +3 -0
  5. adapter-ner/pytorch_model_head.bin +3 -0
README.md ADDED
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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: nerui-seq_bn-rf64-1
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+ results: []
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+ ---
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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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+
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+ # nerui-seq_bn-rf64-1
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+
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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: 0.0340
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+ - Location Precision: 0.9160
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+ - Location Recall: 0.9397
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+ - Location F1: 0.9277
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+ - Location Number: 116
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+ - Organization Precision: 0.9371
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+ - Organization Recall: 0.9430
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+ - Organization F1: 0.9401
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+ - Organization Number: 158
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+ - Person Precision: 0.9685
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+ - Person Recall: 0.9919
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+ - Person F1: 0.9801
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+ - Person Number: 124
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+ - Overall Precision: 0.9407
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+ - Overall Recall: 0.9573
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+ - Overall F1: 0.9489
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+ - Overall Accuracy: 0.9882
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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 | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:------------------:|:---------------:|:-----------:|:---------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:----------------:|:-------------:|:---------:|:-------------:|:-----------------:|:--------------:|:----------:|:----------------:|
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+ | 1.0547 | 1.0 | 96 | 0.6439 | 0.0 | 0.0 | 0.0 | 116 | 0.0 | 0.0 | 0.0 | 158 | 0.0 | 0.0 | 0.0 | 124 | 0.0 | 0.0 | 0.0 | 0.8394 |
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+ | 0.5973 | 2.0 | 192 | 0.4455 | 0.0 | 0.0 | 0.0 | 116 | 0.3636 | 0.0506 | 0.0889 | 158 | 0.3448 | 0.0806 | 0.1307 | 124 | 0.3396 | 0.0452 | 0.0798 | 0.8457 |
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+ | 0.4304 | 3.0 | 288 | 0.3282 | 0.3793 | 0.1897 | 0.2529 | 116 | 0.3692 | 0.5 | 0.4247 | 158 | 0.3520 | 0.5565 | 0.4313 | 124 | 0.3632 | 0.4271 | 0.3926 | 0.8973 |
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+ | 0.3462 | 4.0 | 384 | 0.2760 | 0.4767 | 0.3534 | 0.4059 | 116 | 0.4635 | 0.5633 | 0.5086 | 158 | 0.3865 | 0.6452 | 0.4834 | 124 | 0.4330 | 0.5276 | 0.4757 | 0.9171 |
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+ | 0.3083 | 5.0 | 480 | 0.2443 | 0.4891 | 0.3879 | 0.4327 | 116 | 0.4848 | 0.7089 | 0.5758 | 158 | 0.5269 | 0.7097 | 0.6048 | 124 | 0.5 | 0.6156 | 0.5518 | 0.9306 |
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+ | 0.2762 | 6.0 | 576 | 0.2112 | 0.5299 | 0.5345 | 0.5322 | 116 | 0.5476 | 0.7278 | 0.625 | 158 | 0.6196 | 0.8145 | 0.7038 | 124 | 0.5673 | 0.6985 | 0.6261 | 0.9448 |
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+ | 0.2372 | 7.0 | 672 | 0.1746 | 0.56 | 0.6034 | 0.5809 | 116 | 0.6205 | 0.7658 | 0.6856 | 158 | 0.7415 | 0.8790 | 0.8044 | 124 | 0.6424 | 0.7538 | 0.6936 | 0.9555 |
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+ | 0.2032 | 8.0 | 768 | 0.1440 | 0.6423 | 0.6810 | 0.6611 | 116 | 0.6978 | 0.8038 | 0.7471 | 158 | 0.7832 | 0.9032 | 0.8390 | 124 | 0.7098 | 0.7990 | 0.7518 | 0.9649 |
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+ | 0.1698 | 9.0 | 864 | 0.1209 | 0.7016 | 0.75 | 0.725 | 116 | 0.7374 | 0.8354 | 0.7834 | 158 | 0.8156 | 0.9274 | 0.8679 | 124 | 0.7523 | 0.8392 | 0.7933 | 0.9679 |
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+ | 0.1454 | 10.0 | 960 | 0.1023 | 0.7742 | 0.8276 | 0.8000 | 116 | 0.7882 | 0.8481 | 0.8171 | 158 | 0.9023 | 0.9677 | 0.9339 | 124 | 0.8197 | 0.8794 | 0.8485 | 0.9739 |
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+ | 0.1335 | 11.0 | 1056 | 0.0897 | 0.8 | 0.8621 | 0.8299 | 116 | 0.8171 | 0.8481 | 0.8323 | 158 | 0.9030 | 0.9758 | 0.9380 | 124 | 0.8392 | 0.8920 | 0.8648 | 0.9756 |
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+ | 0.1188 | 12.0 | 1152 | 0.0829 | 0.7891 | 0.8707 | 0.8279 | 116 | 0.8193 | 0.8608 | 0.8395 | 158 | 0.9037 | 0.9839 | 0.9421 | 124 | 0.8368 | 0.9020 | 0.8682 | 0.9753 |
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+ | 0.1117 | 13.0 | 1248 | 0.0753 | 0.8211 | 0.8707 | 0.8452 | 116 | 0.8333 | 0.8861 | 0.8589 | 158 | 0.9535 | 0.9919 | 0.9723 | 124 | 0.8667 | 0.9146 | 0.8900 | 0.9783 |
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+ | 0.1055 | 14.0 | 1344 | 0.0695 | 0.8145 | 0.8707 | 0.8417 | 116 | 0.8415 | 0.8734 | 0.8571 | 158 | 0.9609 | 0.9919 | 0.9762 | 124 | 0.8702 | 0.9095 | 0.8894 | 0.9783 |
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+ | 0.1008 | 15.0 | 1440 | 0.0685 | 0.8443 | 0.8879 | 0.8655 | 116 | 0.8263 | 0.8734 | 0.8492 | 158 | 0.9389 | 0.9919 | 0.9647 | 124 | 0.8667 | 0.9146 | 0.8900 | 0.9772 |
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+ | 0.0978 | 16.0 | 1536 | 0.0678 | 0.8062 | 0.8966 | 0.8490 | 116 | 0.8225 | 0.8797 | 0.8502 | 158 | 0.9462 | 0.9919 | 0.9685 | 124 | 0.8551 | 0.9196 | 0.8862 | 0.9764 |
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+ | 0.0929 | 17.0 | 1632 | 0.0605 | 0.824 | 0.8879 | 0.8548 | 116 | 0.85 | 0.8608 | 0.8553 | 158 | 0.9609 | 0.9919 | 0.9762 | 124 | 0.8765 | 0.9095 | 0.8927 | 0.9797 |
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+ | 0.0854 | 18.0 | 1728 | 0.0591 | 0.8346 | 0.9138 | 0.8724 | 116 | 0.8742 | 0.8797 | 0.8770 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.8932 | 0.9246 | 0.9086 | 0.9811 |
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+ | 0.0834 | 19.0 | 1824 | 0.0554 | 0.8618 | 0.9138 | 0.8870 | 116 | 0.8868 | 0.8924 | 0.8896 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9046 | 0.9296 | 0.9170 | 0.9824 |
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+ | 0.0815 | 20.0 | 1920 | 0.0561 | 0.848 | 0.9138 | 0.8797 | 116 | 0.8812 | 0.8924 | 0.8868 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9002 | 0.9296 | 0.9147 | 0.9805 |
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+ | 0.0807 | 21.0 | 2016 | 0.0549 | 0.8492 | 0.9224 | 0.8843 | 116 | 0.8659 | 0.8987 | 0.8820 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.8942 | 0.9347 | 0.9140 | 0.9808 |
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+ | 0.078 | 22.0 | 2112 | 0.0527 | 0.8689 | 0.9138 | 0.8908 | 116 | 0.8889 | 0.9114 | 0.9000 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9098 | 0.9372 | 0.9233 | 0.9824 |
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+ | 0.0738 | 23.0 | 2208 | 0.0506 | 0.8710 | 0.9310 | 0.9 | 116 | 0.9045 | 0.8987 | 0.9016 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9165 | 0.9372 | 0.9267 | 0.9835 |
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+ | 0.0733 | 24.0 | 2304 | 0.0498 | 0.8699 | 0.9224 | 0.8954 | 116 | 0.8812 | 0.8924 | 0.8868 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9071 | 0.9322 | 0.9195 | 0.9830 |
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+ | 0.0704 | 25.0 | 2400 | 0.0477 | 0.8843 | 0.9224 | 0.9030 | 116 | 0.9051 | 0.9051 | 0.9051 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9210 | 0.9372 | 0.9290 | 0.9841 |
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+ | 0.0698 | 26.0 | 2496 | 0.0467 | 0.8824 | 0.9052 | 0.8936 | 116 | 0.9006 | 0.9177 | 0.9091 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9187 | 0.9372 | 0.9279 | 0.9844 |
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+ | 0.0666 | 27.0 | 2592 | 0.0470 | 0.8926 | 0.9310 | 0.9114 | 116 | 0.8795 | 0.9241 | 0.9012 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9128 | 0.9472 | 0.9297 | 0.9835 |
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+ | 0.0649 | 28.0 | 2688 | 0.0465 | 0.9016 | 0.9483 | 0.9244 | 116 | 0.8855 | 0.9304 | 0.9074 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9179 | 0.9548 | 0.9360 | 0.9852 |
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+ | 0.0648 | 29.0 | 2784 | 0.0445 | 0.8908 | 0.9138 | 0.9021 | 116 | 0.8970 | 0.9367 | 0.9164 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9195 | 0.9472 | 0.9332 | 0.9846 |
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+ | 0.0614 | 30.0 | 2880 | 0.0440 | 0.9153 | 0.9310 | 0.9231 | 116 | 0.9024 | 0.9367 | 0.9193 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9289 | 0.9523 | 0.9404 | 0.9860 |
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+ | 0.0618 | 31.0 | 2976 | 0.0422 | 0.9 | 0.9310 | 0.9153 | 116 | 0.9068 | 0.9241 | 0.9154 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9263 | 0.9472 | 0.9366 | 0.9857 |
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+ | 0.0613 | 32.0 | 3072 | 0.0432 | 0.9008 | 0.9397 | 0.9198 | 116 | 0.9286 | 0.9051 | 0.9167 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9375 | 0.9422 | 0.9398 | 0.9865 |
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+ | 0.0581 | 33.0 | 3168 | 0.0426 | 0.9091 | 0.9483 | 0.9283 | 116 | 0.9119 | 0.9177 | 0.9148 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9287 | 0.9497 | 0.9391 | 0.9863 |
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+ | 0.0586 | 34.0 | 3264 | 0.0422 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9182 | 0.9241 | 0.9211 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9356 | 0.9497 | 0.9426 | 0.9868 |
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+ | 0.0557 | 35.0 | 3360 | 0.0408 | 0.9231 | 0.9310 | 0.9270 | 116 | 0.8970 | 0.9367 | 0.9164 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9289 | 0.9523 | 0.9404 | 0.9865 |
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+ | 0.0531 | 36.0 | 3456 | 0.0419 | 0.9091 | 0.9483 | 0.9283 | 116 | 0.9018 | 0.9304 | 0.9159 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9246 | 0.9548 | 0.9394 | 0.9863 |
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+ | 0.0546 | 37.0 | 3552 | 0.0402 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9241 | 0.9241 | 0.9241 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9358 | 0.9523 | 0.9440 | 0.9868 |
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+ | 0.0521 | 38.0 | 3648 | 0.0395 | 0.9068 | 0.9224 | 0.9145 | 116 | 0.9245 | 0.9304 | 0.9274 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9378 | 0.9472 | 0.9425 | 0.9871 |
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+ | 0.0535 | 39.0 | 3744 | 0.0391 | 0.9237 | 0.9397 | 0.9316 | 116 | 0.9136 | 0.9367 | 0.9250 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9360 | 0.9548 | 0.9453 | 0.9874 |
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+ | 0.0504 | 40.0 | 3840 | 0.0393 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9299 | 0.9241 | 0.9270 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9428 | 0.9523 | 0.9475 | 0.9876 |
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+ | 0.0511 | 41.0 | 3936 | 0.0392 | 0.9083 | 0.9397 | 0.9237 | 116 | 0.8957 | 0.9241 | 0.9097 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9242 | 0.9497 | 0.9368 | 0.9868 |
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+ | 0.0481 | 42.0 | 4032 | 0.0379 | 0.9244 | 0.9483 | 0.9362 | 116 | 0.9304 | 0.9304 | 0.9304 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9453 | 0.9548 | 0.95 | 0.9879 |
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+ | 0.0509 | 43.0 | 4128 | 0.0386 | 0.9237 | 0.9397 | 0.9316 | 116 | 0.9245 | 0.9304 | 0.9274 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9428 | 0.9523 | 0.9475 | 0.9879 |
108
+ | 0.0498 | 44.0 | 4224 | 0.0382 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9125 | 0.9241 | 0.9182 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9358 | 0.9523 | 0.9440 | 0.9879 |
109
+ | 0.0468 | 45.0 | 4320 | 0.0376 | 0.9083 | 0.9397 | 0.9237 | 116 | 0.9241 | 0.9241 | 0.9241 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9380 | 0.9497 | 0.9438 | 0.9876 |
110
+ | 0.0449 | 46.0 | 4416 | 0.0372 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9187 | 0.9304 | 0.9245 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9383 | 0.9548 | 0.9465 | 0.9882 |
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+ | 0.0466 | 47.0 | 4512 | 0.0368 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9074 | 0.9304 | 0.9187 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9312 | 0.9523 | 0.9416 | 0.9874 |
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+ | 0.0439 | 48.0 | 4608 | 0.0372 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9080 | 0.9367 | 0.9221 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9338 | 0.9573 | 0.9454 | 0.9882 |
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+ | 0.045 | 49.0 | 4704 | 0.0369 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9187 | 0.9304 | 0.9245 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9383 | 0.9548 | 0.9465 | 0.9882 |
114
+ | 0.0439 | 50.0 | 4800 | 0.0367 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9187 | 0.9304 | 0.9245 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9360 | 0.9548 | 0.9453 | 0.9885 |
115
+ | 0.0453 | 51.0 | 4896 | 0.0372 | 0.9083 | 0.9397 | 0.9237 | 116 | 0.9182 | 0.9241 | 0.9211 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9356 | 0.9497 | 0.9426 | 0.9879 |
116
+ | 0.0447 | 52.0 | 4992 | 0.0365 | 0.9153 | 0.9310 | 0.9231 | 116 | 0.8855 | 0.9304 | 0.9074 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9220 | 0.9497 | 0.9356 | 0.9868 |
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+ | 0.0424 | 53.0 | 5088 | 0.0366 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9313 | 0.9430 | 0.9371 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9409 | 0.9598 | 0.9502 | 0.9887 |
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+ | 0.042 | 54.0 | 5184 | 0.0360 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9198 | 0.9430 | 0.9312 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9361 | 0.9573 | 0.9466 | 0.9882 |
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+ | 0.0407 | 55.0 | 5280 | 0.0355 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9136 | 0.9367 | 0.9250 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9337 | 0.9548 | 0.9441 | 0.9879 |
120
+ | 0.0414 | 56.0 | 5376 | 0.0353 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9198 | 0.9430 | 0.9312 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9361 | 0.9573 | 0.9466 | 0.9882 |
121
+ | 0.0417 | 57.0 | 5472 | 0.0356 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9255 | 0.9430 | 0.9342 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9384 | 0.9573 | 0.9478 | 0.9885 |
122
+ | 0.0395 | 58.0 | 5568 | 0.0359 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9490 | 0.9430 | 0.9460 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9479 | 0.9598 | 0.9538 | 0.9890 |
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+ | 0.0403 | 59.0 | 5664 | 0.0362 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9198 | 0.9430 | 0.9312 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9361 | 0.9573 | 0.9466 | 0.9876 |
124
+ | 0.0413 | 60.0 | 5760 | 0.0354 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9371 | 0.9430 | 0.9401 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9432 | 0.9598 | 0.9514 | 0.9890 |
125
+ | 0.0391 | 61.0 | 5856 | 0.0363 | 0.9083 | 0.9397 | 0.9237 | 116 | 0.9304 | 0.9304 | 0.9304 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9381 | 0.9523 | 0.9451 | 0.9887 |
126
+ | 0.0381 | 62.0 | 5952 | 0.0360 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9371 | 0.9430 | 0.9401 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9432 | 0.9598 | 0.9514 | 0.9885 |
127
+ | 0.0388 | 63.0 | 6048 | 0.0359 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9313 | 0.9430 | 0.9371 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9409 | 0.9598 | 0.9502 | 0.9882 |
128
+ | 0.0377 | 64.0 | 6144 | 0.0364 | 0.8992 | 0.9224 | 0.9106 | 116 | 0.9308 | 0.9367 | 0.9338 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9380 | 0.9497 | 0.9438 | 0.9887 |
129
+ | 0.0356 | 65.0 | 6240 | 0.0358 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9430 | 0.9430 | 0.9430 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9455 | 0.9598 | 0.9526 | 0.9887 |
130
+ | 0.0377 | 66.0 | 6336 | 0.0358 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9313 | 0.9430 | 0.9371 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9407 | 0.9573 | 0.9489 | 0.9882 |
131
+ | 0.0356 | 67.0 | 6432 | 0.0357 | 0.9076 | 0.9310 | 0.9191 | 116 | 0.9308 | 0.9367 | 0.9338 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9381 | 0.9523 | 0.9451 | 0.9885 |
132
+ | 0.0363 | 68.0 | 6528 | 0.0353 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9371 | 0.9430 | 0.9401 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9454 | 0.9573 | 0.9513 | 0.9893 |
133
+ | 0.0354 | 69.0 | 6624 | 0.0352 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9371 | 0.9430 | 0.9401 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9454 | 0.9573 | 0.9513 | 0.9893 |
134
+ | 0.0371 | 70.0 | 6720 | 0.0349 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9255 | 0.9430 | 0.9342 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9361 | 0.9573 | 0.9466 | 0.9882 |
135
+ | 0.035 | 71.0 | 6816 | 0.0347 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9255 | 0.9430 | 0.9342 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9407 | 0.9573 | 0.9489 | 0.9887 |
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+ | 0.0352 | 72.0 | 6912 | 0.0356 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9427 | 0.9367 | 0.9397 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9454 | 0.9573 | 0.9513 | 0.9896 |
137
+ | 0.0346 | 73.0 | 7008 | 0.0349 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9430 | 0.9430 | 0.9430 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9454 | 0.9573 | 0.9513 | 0.9887 |
138
+ | 0.036 | 74.0 | 7104 | 0.0350 | 0.9076 | 0.9310 | 0.9191 | 116 | 0.9430 | 0.9430 | 0.9430 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9429 | 0.9548 | 0.9488 | 0.9890 |
139
+ | 0.0355 | 75.0 | 7200 | 0.0346 | 0.9076 | 0.9310 | 0.9191 | 116 | 0.9430 | 0.9430 | 0.9430 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9429 | 0.9548 | 0.9488 | 0.9893 |
140
+ | 0.0341 | 76.0 | 7296 | 0.0348 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9313 | 0.9430 | 0.9371 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9384 | 0.9573 | 0.9478 | 0.9885 |
141
+ | 0.0336 | 77.0 | 7392 | 0.0350 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9487 | 0.9367 | 0.9427 | 158 | 0.984 | 0.9919 | 0.9880 | 124 | 0.9501 | 0.9573 | 0.9537 | 0.9896 |
142
+ | 0.0339 | 78.0 | 7488 | 0.0341 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9255 | 0.9430 | 0.9342 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9361 | 0.9573 | 0.9466 | 0.9882 |
143
+ | 0.034 | 79.0 | 7584 | 0.0350 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9141 | 0.9430 | 0.9283 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9315 | 0.9573 | 0.9442 | 0.9876 |
144
+ | 0.0345 | 80.0 | 7680 | 0.0346 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9313 | 0.9430 | 0.9371 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9384 | 0.9573 | 0.9478 | 0.9885 |
145
+ | 0.0335 | 81.0 | 7776 | 0.0344 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9198 | 0.9430 | 0.9312 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9338 | 0.9573 | 0.9454 | 0.9879 |
146
+ | 0.0326 | 82.0 | 7872 | 0.0342 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9313 | 0.9430 | 0.9371 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9384 | 0.9573 | 0.9478 | 0.9885 |
147
+ | 0.034 | 83.0 | 7968 | 0.0339 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9313 | 0.9430 | 0.9371 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9384 | 0.9573 | 0.9478 | 0.9885 |
148
+ | 0.0329 | 84.0 | 8064 | 0.0347 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9430 | 0.9430 | 0.9430 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9432 | 0.9598 | 0.9514 | 0.9885 |
149
+ | 0.0344 | 85.0 | 8160 | 0.0342 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9313 | 0.9430 | 0.9371 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9384 | 0.9573 | 0.9478 | 0.9885 |
150
+ | 0.0321 | 86.0 | 8256 | 0.0342 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9371 | 0.9430 | 0.9401 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9431 | 0.9573 | 0.9501 | 0.9885 |
151
+ | 0.0323 | 87.0 | 8352 | 0.0346 | 0.9167 | 0.9483 | 0.9322 | 116 | 0.9430 | 0.9430 | 0.9430 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9455 | 0.9598 | 0.9526 | 0.9887 |
152
+ | 0.0316 | 88.0 | 8448 | 0.0345 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9371 | 0.9430 | 0.9401 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9407 | 0.9573 | 0.9489 | 0.9882 |
153
+ | 0.0312 | 89.0 | 8544 | 0.0348 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9371 | 0.9430 | 0.9401 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9407 | 0.9573 | 0.9489 | 0.9882 |
154
+ | 0.0324 | 90.0 | 8640 | 0.0347 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9490 | 0.9430 | 0.9460 | 158 | 0.9762 | 0.9919 | 0.9840 | 124 | 0.9478 | 0.9573 | 0.9525 | 0.9893 |
155
+ | 0.0338 | 91.0 | 8736 | 0.0343 | 0.9076 | 0.9310 | 0.9191 | 116 | 0.9430 | 0.9430 | 0.9430 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9406 | 0.9548 | 0.9476 | 0.9890 |
156
+ | 0.0319 | 92.0 | 8832 | 0.0340 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9371 | 0.9430 | 0.9401 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9407 | 0.9573 | 0.9489 | 0.9882 |
157
+ | 0.0322 | 93.0 | 8928 | 0.0339 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9371 | 0.9430 | 0.9401 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9407 | 0.9573 | 0.9489 | 0.9887 |
158
+ | 0.031 | 94.0 | 9024 | 0.0338 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9313 | 0.9430 | 0.9371 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9384 | 0.9573 | 0.9478 | 0.9885 |
159
+ | 0.0337 | 95.0 | 9120 | 0.0339 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9313 | 0.9430 | 0.9371 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9384 | 0.9573 | 0.9478 | 0.9885 |
160
+ | 0.0324 | 96.0 | 9216 | 0.0339 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9371 | 0.9430 | 0.9401 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9407 | 0.9573 | 0.9489 | 0.9882 |
161
+ | 0.0318 | 97.0 | 9312 | 0.0339 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9371 | 0.9430 | 0.9401 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9407 | 0.9573 | 0.9489 | 0.9882 |
162
+ | 0.0323 | 98.0 | 9408 | 0.0341 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9371 | 0.9430 | 0.9401 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9407 | 0.9573 | 0.9489 | 0.9882 |
163
+ | 0.0316 | 99.0 | 9504 | 0.0341 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9371 | 0.9430 | 0.9401 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9407 | 0.9573 | 0.9489 | 0.9882 |
164
+ | 0.0325 | 100.0 | 9600 | 0.0340 | 0.9160 | 0.9397 | 0.9277 | 116 | 0.9371 | 0.9430 | 0.9401 | 158 | 0.9685 | 0.9919 | 0.9801 | 124 | 0.9407 | 0.9573 | 0.9489 | 0.9882 |
165
+
166
+
167
+ ### Framework versions
168
+
169
+ - Transformers 4.40.2
170
+ - Pytorch 2.3.0+cu121
171
+ - Datasets 2.19.1
172
+ - Tokenizers 0.19.1
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