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nerui-seq_bn-rf64-2

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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-rf64-2
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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-rf64-2
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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: 0.0395
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+ - Location Precision: 0.89
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+ - Location Recall: 0.9570
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+ - Location F1: 0.9223
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+ - Location Number: 93
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+ - Organization Precision: 0.9157
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+ - Organization Recall: 0.9157
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+ - Organization F1: 0.9157
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+ - Organization Number: 166
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+ - Person Precision: 0.9583
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+ - Person Recall: 0.9718
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+ - Person F1: 0.9650
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+ - Person Number: 142
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+ - Overall Precision: 0.9244
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+ - Overall Recall: 0.9451
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+ - Overall F1: 0.9346
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+ - Overall Accuracy: 0.9871
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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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+ | 1.0507 | 1.0 | 96 | 0.6532 | 0.0 | 0.0 | 0.0 | 93 | 0.0 | 0.0 | 0.0 | 166 | 0.0 | 0.0 | 0.0 | 142 | 0.0 | 0.0 | 0.0 | 0.8343 |
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+ | 0.5943 | 2.0 | 192 | 0.4513 | 0.0 | 0.0 | 0.0 | 93 | 0.3333 | 0.0422 | 0.0749 | 166 | 0.3256 | 0.0986 | 0.1514 | 142 | 0.3182 | 0.0524 | 0.0899 | 0.8428 |
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+ | 0.4265 | 3.0 | 288 | 0.3261 | 0.2889 | 0.1398 | 0.1884 | 93 | 0.3659 | 0.4518 | 0.4043 | 166 | 0.3472 | 0.5282 | 0.4190 | 142 | 0.3498 | 0.4065 | 0.3760 | 0.8955 |
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+ | 0.3456 | 4.0 | 384 | 0.2801 | 0.3684 | 0.3011 | 0.3314 | 93 | 0.4170 | 0.5602 | 0.4781 | 166 | 0.3909 | 0.6056 | 0.4751 | 142 | 0.3988 | 0.5162 | 0.45 | 0.9155 |
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+ | 0.3004 | 5.0 | 480 | 0.2395 | 0.4091 | 0.3871 | 0.3978 | 93 | 0.4957 | 0.6928 | 0.5779 | 166 | 0.5160 | 0.6831 | 0.5879 | 142 | 0.4882 | 0.6185 | 0.5457 | 0.9336 |
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+ | 0.2668 | 6.0 | 576 | 0.2074 | 0.47 | 0.5054 | 0.4870 | 93 | 0.5674 | 0.7349 | 0.6404 | 166 | 0.6369 | 0.8028 | 0.7103 | 142 | 0.5729 | 0.7057 | 0.6324 | 0.9457 |
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+ | 0.2298 | 7.0 | 672 | 0.1720 | 0.5048 | 0.5699 | 0.5354 | 93 | 0.6275 | 0.7711 | 0.6919 | 166 | 0.7041 | 0.8380 | 0.7653 | 142 | 0.6276 | 0.7481 | 0.6826 | 0.9561 |
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+ | 0.1899 | 8.0 | 768 | 0.1367 | 0.5865 | 0.6559 | 0.6193 | 93 | 0.7016 | 0.8072 | 0.7507 | 166 | 0.8323 | 0.9085 | 0.8687 | 142 | 0.72 | 0.8080 | 0.7615 | 0.9641 |
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+ | 0.1641 | 9.0 | 864 | 0.1154 | 0.6486 | 0.7742 | 0.7059 | 93 | 0.7705 | 0.8494 | 0.8080 | 166 | 0.8693 | 0.9366 | 0.9017 | 142 | 0.7740 | 0.8628 | 0.8160 | 0.9706 |
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+ | 0.1436 | 10.0 | 960 | 0.0999 | 0.7525 | 0.8172 | 0.7835 | 93 | 0.7912 | 0.8675 | 0.8276 | 166 | 0.9128 | 0.9577 | 0.9347 | 142 | 0.8241 | 0.8878 | 0.8547 | 0.9753 |
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+ | 0.1282 | 11.0 | 1056 | 0.0896 | 0.7596 | 0.8495 | 0.8020 | 93 | 0.7956 | 0.8675 | 0.8300 | 166 | 0.9128 | 0.9577 | 0.9347 | 142 | 0.8272 | 0.8953 | 0.8599 | 0.9759 |
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+ | 0.1193 | 12.0 | 1152 | 0.0848 | 0.7570 | 0.8710 | 0.81 | 93 | 0.7923 | 0.8735 | 0.8309 | 166 | 0.9257 | 0.9648 | 0.9448 | 142 | 0.8288 | 0.9052 | 0.8653 | 0.9756 |
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+ | 0.1109 | 13.0 | 1248 | 0.0766 | 0.7864 | 0.8710 | 0.8265 | 93 | 0.8268 | 0.8916 | 0.8580 | 166 | 0.9320 | 0.9648 | 0.9481 | 142 | 0.8531 | 0.9127 | 0.8819 | 0.9786 |
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+ | 0.1039 | 14.0 | 1344 | 0.0730 | 0.7981 | 0.8925 | 0.8426 | 93 | 0.8111 | 0.8795 | 0.8439 | 166 | 0.9517 | 0.9718 | 0.9617 | 142 | 0.8555 | 0.9152 | 0.8843 | 0.9786 |
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+ | 0.0974 | 15.0 | 1440 | 0.0715 | 0.8137 | 0.8925 | 0.8513 | 93 | 0.8132 | 0.8916 | 0.8506 | 166 | 0.9452 | 0.9718 | 0.9583 | 142 | 0.8581 | 0.9202 | 0.8881 | 0.9775 |
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+ | 0.0954 | 16.0 | 1536 | 0.0712 | 0.7905 | 0.8925 | 0.8384 | 93 | 0.8142 | 0.8976 | 0.8539 | 166 | 0.9517 | 0.9718 | 0.9617 | 142 | 0.8545 | 0.9227 | 0.8873 | 0.9778 |
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+ | 0.0911 | 17.0 | 1632 | 0.0644 | 0.8333 | 0.9140 | 0.8718 | 93 | 0.8305 | 0.8855 | 0.8571 | 166 | 0.9452 | 0.9718 | 0.9583 | 142 | 0.8706 | 0.9227 | 0.8959 | 0.9800 |
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+ | 0.0868 | 18.0 | 1728 | 0.0609 | 0.84 | 0.9032 | 0.8705 | 93 | 0.8475 | 0.9036 | 0.8746 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.8836 | 0.9277 | 0.9051 | 0.9816 |
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+ | 0.082 | 19.0 | 1824 | 0.0594 | 0.8614 | 0.9355 | 0.8969 | 93 | 0.8613 | 0.8976 | 0.8791 | 166 | 0.9452 | 0.9718 | 0.9583 | 142 | 0.8905 | 0.9327 | 0.9111 | 0.9813 |
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+ | 0.0785 | 20.0 | 1920 | 0.0584 | 0.86 | 0.9247 | 0.8912 | 93 | 0.8287 | 0.9036 | 0.8646 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.88 | 0.9327 | 0.9056 | 0.9813 |
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+ | 0.0804 | 21.0 | 2016 | 0.0587 | 0.8529 | 0.9355 | 0.8923 | 93 | 0.8380 | 0.9036 | 0.8696 | 166 | 0.9452 | 0.9718 | 0.9583 | 142 | 0.8782 | 0.9352 | 0.9058 | 0.9802 |
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+ | 0.0751 | 22.0 | 2112 | 0.0569 | 0.8713 | 0.9462 | 0.9072 | 93 | 0.85 | 0.9217 | 0.8844 | 166 | 0.9517 | 0.9718 | 0.9617 | 142 | 0.8897 | 0.9451 | 0.9166 | 0.9822 |
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+ | 0.0747 | 23.0 | 2208 | 0.0545 | 0.8462 | 0.9462 | 0.8934 | 93 | 0.8970 | 0.8916 | 0.8943 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9056 | 0.9327 | 0.9189 | 0.9830 |
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+ | 0.0733 | 24.0 | 2304 | 0.0552 | 0.8286 | 0.9355 | 0.8788 | 93 | 0.8757 | 0.8916 | 0.8836 | 166 | 0.9452 | 0.9718 | 0.9583 | 142 | 0.8881 | 0.9302 | 0.9086 | 0.9811 |
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+ | 0.0695 | 25.0 | 2400 | 0.0547 | 0.8381 | 0.9462 | 0.8889 | 93 | 0.8457 | 0.8916 | 0.8680 | 166 | 0.9452 | 0.9718 | 0.9583 | 142 | 0.8779 | 0.9327 | 0.9045 | 0.9816 |
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+ | 0.0697 | 26.0 | 2496 | 0.0498 | 0.8614 | 0.9355 | 0.8969 | 93 | 0.8810 | 0.8916 | 0.8862 | 166 | 0.9517 | 0.9718 | 0.9617 | 142 | 0.9010 | 0.9302 | 0.9153 | 0.9838 |
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+ | 0.064 | 27.0 | 2592 | 0.0487 | 0.8713 | 0.9462 | 0.9072 | 93 | 0.8629 | 0.9096 | 0.8856 | 166 | 0.9452 | 0.9718 | 0.9583 | 142 | 0.8934 | 0.9401 | 0.9162 | 0.9838 |
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+ | 0.0663 | 28.0 | 2688 | 0.0501 | 0.87 | 0.9355 | 0.9016 | 93 | 0.8370 | 0.9277 | 0.8800 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.8855 | 0.9451 | 0.9144 | 0.9833 |
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+ | 0.064 | 29.0 | 2784 | 0.0482 | 0.8544 | 0.9462 | 0.8980 | 93 | 0.8671 | 0.9036 | 0.8850 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.8952 | 0.9377 | 0.9160 | 0.9844 |
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+ | 0.0606 | 30.0 | 2880 | 0.0477 | 0.8627 | 0.9462 | 0.9026 | 93 | 0.8596 | 0.9217 | 0.8895 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.8939 | 0.9451 | 0.9188 | 0.9841 |
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+ | 0.0616 | 31.0 | 2976 | 0.0475 | 0.88 | 0.9462 | 0.9119 | 93 | 0.8706 | 0.8916 | 0.8810 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9034 | 0.9327 | 0.9178 | 0.9855 |
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+ | 0.0582 | 32.0 | 3072 | 0.0462 | 0.87 | 0.9355 | 0.9016 | 93 | 0.8655 | 0.8916 | 0.8783 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.8988 | 0.9302 | 0.9142 | 0.9849 |
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+ | 0.058 | 33.0 | 3168 | 0.0463 | 0.8529 | 0.9355 | 0.8923 | 93 | 0.8671 | 0.9036 | 0.8850 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.8950 | 0.9352 | 0.9146 | 0.9844 |
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+ | 0.0587 | 34.0 | 3264 | 0.0449 | 0.87 | 0.9355 | 0.9016 | 93 | 0.8539 | 0.9157 | 0.8837 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.8955 | 0.9401 | 0.9173 | 0.9844 |
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+ | 0.056 | 35.0 | 3360 | 0.0444 | 0.8614 | 0.9355 | 0.8969 | 93 | 0.8580 | 0.9096 | 0.8830 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.8952 | 0.9377 | 0.9160 | 0.9844 |
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+ | 0.0573 | 36.0 | 3456 | 0.0443 | 0.8614 | 0.9355 | 0.8969 | 93 | 0.8678 | 0.9096 | 0.8882 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.8995 | 0.9377 | 0.9182 | 0.9846 |
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+ | 0.0538 | 37.0 | 3552 | 0.0433 | 0.8687 | 0.9247 | 0.8958 | 93 | 0.8580 | 0.9096 | 0.8830 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.8971 | 0.9352 | 0.9158 | 0.9855 |
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+ | 0.0533 | 38.0 | 3648 | 0.0431 | 0.8687 | 0.9247 | 0.8958 | 93 | 0.8621 | 0.9036 | 0.8824 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.8990 | 0.9327 | 0.9155 | 0.9849 |
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+ | 0.0513 | 39.0 | 3744 | 0.0425 | 0.8687 | 0.9247 | 0.8958 | 93 | 0.8728 | 0.9096 | 0.8909 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9036 | 0.9352 | 0.9191 | 0.9860 |
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+ | 0.0512 | 40.0 | 3840 | 0.0432 | 0.8673 | 0.9140 | 0.8901 | 93 | 0.8613 | 0.8976 | 0.8791 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.8964 | 0.9277 | 0.9118 | 0.9849 |
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+ | 0.051 | 41.0 | 3936 | 0.0419 | 0.8673 | 0.9140 | 0.8901 | 93 | 0.8678 | 0.9096 | 0.8882 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9012 | 0.9327 | 0.9167 | 0.9855 |
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+ | 0.0504 | 42.0 | 4032 | 0.0419 | 0.8673 | 0.9140 | 0.8901 | 93 | 0.8629 | 0.9096 | 0.8856 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.8990 | 0.9327 | 0.9155 | 0.9852 |
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+ | 0.0467 | 43.0 | 4128 | 0.0420 | 0.8673 | 0.9140 | 0.8901 | 93 | 0.8728 | 0.9096 | 0.8909 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9034 | 0.9327 | 0.9178 | 0.9852 |
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+ | 0.0495 | 44.0 | 4224 | 0.0428 | 0.8776 | 0.9247 | 0.9005 | 93 | 0.8621 | 0.9036 | 0.8824 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.8990 | 0.9327 | 0.9155 | 0.9849 |
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+ | 0.0481 | 45.0 | 4320 | 0.0413 | 0.8687 | 0.9247 | 0.8958 | 93 | 0.8779 | 0.9096 | 0.8935 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9058 | 0.9352 | 0.9202 | 0.9857 |
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+ | 0.045 | 46.0 | 4416 | 0.0416 | 0.8788 | 0.9355 | 0.9062 | 93 | 0.8772 | 0.9036 | 0.8902 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9058 | 0.9352 | 0.9202 | 0.9860 |
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+ | 0.0459 | 47.0 | 4512 | 0.0414 | 0.8776 | 0.9247 | 0.9005 | 93 | 0.8786 | 0.9157 | 0.8968 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9082 | 0.9377 | 0.9227 | 0.9868 |
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+ | 0.0452 | 48.0 | 4608 | 0.0424 | 0.87 | 0.9355 | 0.9016 | 93 | 0.8810 | 0.8916 | 0.8862 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9053 | 0.9302 | 0.9176 | 0.9857 |
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+ | 0.0451 | 49.0 | 4704 | 0.0408 | 0.8878 | 0.9355 | 0.9110 | 93 | 0.8895 | 0.9217 | 0.9053 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9153 | 0.9426 | 0.9287 | 0.9877 |
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+ | 0.0432 | 50.0 | 4800 | 0.0413 | 0.8687 | 0.9247 | 0.8958 | 93 | 0.8837 | 0.9157 | 0.8994 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9082 | 0.9377 | 0.9227 | 0.9866 |
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+ | 0.0454 | 51.0 | 4896 | 0.0417 | 0.87 | 0.9355 | 0.9016 | 93 | 0.8876 | 0.9036 | 0.8955 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9080 | 0.9352 | 0.9214 | 0.9866 |
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+ | 0.044 | 52.0 | 4992 | 0.0413 | 0.8763 | 0.9140 | 0.8947 | 93 | 0.8736 | 0.9157 | 0.8941 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9058 | 0.9352 | 0.9202 | 0.9860 |
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+ | 0.0438 | 53.0 | 5088 | 0.0425 | 0.8788 | 0.9355 | 0.9062 | 93 | 0.8837 | 0.9157 | 0.8994 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9106 | 0.9401 | 0.9252 | 0.9866 |
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+ | 0.0426 | 54.0 | 5184 | 0.0411 | 0.8586 | 0.9140 | 0.8854 | 93 | 0.8728 | 0.9096 | 0.8909 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9012 | 0.9327 | 0.9167 | 0.9863 |
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+ | 0.0423 | 55.0 | 5280 | 0.0408 | 0.8687 | 0.9247 | 0.8958 | 93 | 0.8713 | 0.8976 | 0.8843 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9010 | 0.9302 | 0.9153 | 0.9857 |
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+ | 0.042 | 56.0 | 5376 | 0.0408 | 0.8776 | 0.9247 | 0.9005 | 93 | 0.8895 | 0.9217 | 0.9053 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9128 | 0.9401 | 0.9263 | 0.9871 |
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+ | 0.0433 | 57.0 | 5472 | 0.0413 | 0.8614 | 0.9355 | 0.8969 | 93 | 0.8810 | 0.8916 | 0.8862 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9031 | 0.9302 | 0.9165 | 0.9855 |
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+ | 0.0433 | 58.0 | 5568 | 0.0416 | 0.8878 | 0.9355 | 0.9110 | 93 | 0.8765 | 0.8976 | 0.8869 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9078 | 0.9327 | 0.9200 | 0.9857 |
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+ | 0.0391 | 59.0 | 5664 | 0.0413 | 0.8614 | 0.9355 | 0.8969 | 93 | 0.8810 | 0.8916 | 0.8862 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9031 | 0.9302 | 0.9165 | 0.9855 |
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+ | 0.0403 | 60.0 | 5760 | 0.0411 | 0.8627 | 0.9462 | 0.9026 | 93 | 0.8869 | 0.8976 | 0.8922 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9058 | 0.9352 | 0.9202 | 0.9857 |
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+ | 0.0397 | 61.0 | 5856 | 0.0396 | 0.8866 | 0.9247 | 0.9053 | 93 | 0.8947 | 0.9217 | 0.9080 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9173 | 0.9401 | 0.9286 | 0.9866 |
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+ | 0.0384 | 62.0 | 5952 | 0.0405 | 0.87 | 0.9355 | 0.9016 | 93 | 0.8882 | 0.9096 | 0.8988 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9104 | 0.9377 | 0.9238 | 0.9860 |
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+ | 0.0388 | 63.0 | 6048 | 0.0406 | 0.8713 | 0.9462 | 0.9072 | 93 | 0.8929 | 0.9036 | 0.8982 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9126 | 0.9377 | 0.9250 | 0.9863 |
128
+ | 0.0372 | 64.0 | 6144 | 0.0397 | 0.8878 | 0.9355 | 0.9110 | 93 | 0.9 | 0.9217 | 0.9107 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9197 | 0.9426 | 0.9310 | 0.9871 |
129
+ | 0.0368 | 65.0 | 6240 | 0.0408 | 0.88 | 0.9462 | 0.9119 | 93 | 0.8941 | 0.9157 | 0.9048 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9153 | 0.9426 | 0.9287 | 0.9871 |
130
+ | 0.0385 | 66.0 | 6336 | 0.0399 | 0.8788 | 0.9355 | 0.9062 | 93 | 0.8994 | 0.9157 | 0.9075 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9173 | 0.9401 | 0.9286 | 0.9868 |
131
+ | 0.0366 | 67.0 | 6432 | 0.0407 | 0.8713 | 0.9462 | 0.9072 | 93 | 0.8988 | 0.9096 | 0.9042 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9128 | 0.9401 | 0.9263 | 0.9863 |
132
+ | 0.0358 | 68.0 | 6528 | 0.0397 | 0.8980 | 0.9462 | 0.9215 | 93 | 0.9162 | 0.9217 | 0.9189 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9289 | 0.9451 | 0.9370 | 0.9874 |
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+ | 0.0366 | 69.0 | 6624 | 0.0398 | 0.9082 | 0.9570 | 0.9319 | 93 | 0.9096 | 0.9096 | 0.9096 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9265 | 0.9426 | 0.9345 | 0.9871 |
134
+ | 0.0362 | 70.0 | 6720 | 0.0396 | 0.8980 | 0.9462 | 0.9215 | 93 | 0.9048 | 0.9157 | 0.9102 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9220 | 0.9426 | 0.9322 | 0.9874 |
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+ | 0.0353 | 71.0 | 6816 | 0.0400 | 0.9184 | 0.9677 | 0.9424 | 93 | 0.9172 | 0.9337 | 0.9254 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9341 | 0.9551 | 0.9445 | 0.9879 |
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+ | 0.0358 | 72.0 | 6912 | 0.0397 | 0.89 | 0.9570 | 0.9223 | 93 | 0.9152 | 0.9096 | 0.9124 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9242 | 0.9426 | 0.9333 | 0.9868 |
137
+ | 0.0333 | 73.0 | 7008 | 0.0393 | 0.8990 | 0.9570 | 0.9271 | 93 | 0.9157 | 0.9157 | 0.9157 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9267 | 0.9451 | 0.9358 | 0.9871 |
138
+ | 0.0338 | 74.0 | 7104 | 0.0393 | 0.8980 | 0.9462 | 0.9215 | 93 | 0.9096 | 0.9096 | 0.9096 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9240 | 0.9401 | 0.9320 | 0.9868 |
139
+ | 0.0368 | 75.0 | 7200 | 0.0398 | 0.9184 | 0.9677 | 0.9424 | 93 | 0.9162 | 0.9217 | 0.9189 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9315 | 0.9501 | 0.9407 | 0.9874 |
140
+ | 0.034 | 76.0 | 7296 | 0.0398 | 0.8990 | 0.9570 | 0.9271 | 93 | 0.9152 | 0.9096 | 0.9124 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9265 | 0.9426 | 0.9345 | 0.9874 |
141
+ | 0.0358 | 77.0 | 7392 | 0.0391 | 0.8990 | 0.9570 | 0.9271 | 93 | 0.9152 | 0.9096 | 0.9124 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9265 | 0.9426 | 0.9345 | 0.9874 |
142
+ | 0.0343 | 78.0 | 7488 | 0.0391 | 0.8889 | 0.9462 | 0.9167 | 93 | 0.9096 | 0.9096 | 0.9096 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9218 | 0.9401 | 0.9309 | 0.9868 |
143
+ | 0.0338 | 79.0 | 7584 | 0.0388 | 0.8980 | 0.9462 | 0.9215 | 93 | 0.9042 | 0.9096 | 0.9069 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9218 | 0.9401 | 0.9309 | 0.9874 |
144
+ | 0.0343 | 80.0 | 7680 | 0.0387 | 0.8980 | 0.9462 | 0.9215 | 93 | 0.9 | 0.9217 | 0.9107 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9199 | 0.9451 | 0.9323 | 0.9874 |
145
+ | 0.0345 | 81.0 | 7776 | 0.0397 | 0.9091 | 0.9677 | 0.9375 | 93 | 0.9162 | 0.9217 | 0.9189 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9293 | 0.9501 | 0.9396 | 0.9874 |
146
+ | 0.0332 | 82.0 | 7872 | 0.0405 | 0.9091 | 0.9677 | 0.9375 | 93 | 0.9096 | 0.9096 | 0.9096 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9267 | 0.9451 | 0.9358 | 0.9874 |
147
+ | 0.0341 | 83.0 | 7968 | 0.0401 | 0.8889 | 0.9462 | 0.9167 | 93 | 0.9091 | 0.9036 | 0.9063 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9216 | 0.9377 | 0.9295 | 0.9866 |
148
+ | 0.0323 | 84.0 | 8064 | 0.0402 | 0.9 | 0.9677 | 0.9326 | 93 | 0.9152 | 0.9096 | 0.9124 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9267 | 0.9451 | 0.9358 | 0.9871 |
149
+ | 0.0331 | 85.0 | 8160 | 0.0396 | 0.89 | 0.9570 | 0.9223 | 93 | 0.9152 | 0.9096 | 0.9124 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9242 | 0.9426 | 0.9333 | 0.9868 |
150
+ | 0.0337 | 86.0 | 8256 | 0.0395 | 0.8990 | 0.9570 | 0.9271 | 93 | 0.9091 | 0.9036 | 0.9063 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9240 | 0.9401 | 0.9320 | 0.9868 |
151
+ | 0.0336 | 87.0 | 8352 | 0.0393 | 0.8889 | 0.9462 | 0.9167 | 93 | 0.9096 | 0.9096 | 0.9096 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9218 | 0.9401 | 0.9309 | 0.9868 |
152
+ | 0.0331 | 88.0 | 8448 | 0.0395 | 0.89 | 0.9570 | 0.9223 | 93 | 0.9157 | 0.9157 | 0.9157 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9244 | 0.9451 | 0.9346 | 0.9871 |
153
+ | 0.0336 | 89.0 | 8544 | 0.0396 | 0.8889 | 0.9462 | 0.9167 | 93 | 0.9096 | 0.9096 | 0.9096 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9218 | 0.9401 | 0.9309 | 0.9868 |
154
+ | 0.033 | 90.0 | 8640 | 0.0396 | 0.89 | 0.9570 | 0.9223 | 93 | 0.9157 | 0.9157 | 0.9157 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9244 | 0.9451 | 0.9346 | 0.9871 |
155
+ | 0.033 | 91.0 | 8736 | 0.0395 | 0.89 | 0.9570 | 0.9223 | 93 | 0.9152 | 0.9096 | 0.9124 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9242 | 0.9426 | 0.9333 | 0.9871 |
156
+ | 0.0317 | 92.0 | 8832 | 0.0398 | 0.9091 | 0.9677 | 0.9375 | 93 | 0.9102 | 0.9157 | 0.9129 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9291 | 0.9476 | 0.9383 | 0.9871 |
157
+ | 0.0337 | 93.0 | 8928 | 0.0397 | 0.9 | 0.9677 | 0.9326 | 93 | 0.9157 | 0.9157 | 0.9157 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9268 | 0.9476 | 0.9371 | 0.9874 |
158
+ | 0.0324 | 94.0 | 9024 | 0.0397 | 0.9 | 0.9677 | 0.9326 | 93 | 0.9157 | 0.9157 | 0.9157 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9268 | 0.9476 | 0.9371 | 0.9874 |
159
+ | 0.033 | 95.0 | 9120 | 0.0395 | 0.89 | 0.9570 | 0.9223 | 93 | 0.9157 | 0.9157 | 0.9157 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9244 | 0.9451 | 0.9346 | 0.9871 |
160
+ | 0.0309 | 96.0 | 9216 | 0.0394 | 0.89 | 0.9570 | 0.9223 | 93 | 0.9162 | 0.9217 | 0.9189 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9268 | 0.9476 | 0.9371 | 0.9874 |
161
+ | 0.0322 | 97.0 | 9312 | 0.0395 | 0.89 | 0.9570 | 0.9223 | 93 | 0.9157 | 0.9157 | 0.9157 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9244 | 0.9451 | 0.9346 | 0.9871 |
162
+ | 0.033 | 98.0 | 9408 | 0.0396 | 0.9 | 0.9677 | 0.9326 | 93 | 0.9157 | 0.9157 | 0.9157 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9268 | 0.9476 | 0.9371 | 0.9874 |
163
+ | 0.0318 | 99.0 | 9504 | 0.0395 | 0.89 | 0.9570 | 0.9223 | 93 | 0.9157 | 0.9157 | 0.9157 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9244 | 0.9451 | 0.9346 | 0.9871 |
164
+ | 0.0327 | 100.0 | 9600 | 0.0395 | 0.89 | 0.9570 | 0.9223 | 93 | 0.9157 | 0.9157 | 0.9157 | 166 | 0.9583 | 0.9718 | 0.9650 | 142 | 0.9244 | 0.9451 | 0.9346 | 0.9871 |
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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