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nerui-seq_bn-0

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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
  6. runs/Jun09_14-02-40_a358b85c7679/events.out.tfevents.1717941769.a358b85c7679.48815.0 +2 -2
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-0
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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-0
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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: 0.0567
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+ - Location Precision: 0.89
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+ - Location Recall: 0.9468
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+ - Location F1: 0.9175
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+ - Location Number: 94
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+ - Organization Precision: 0.8848
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+ - Organization Recall: 0.8743
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+ - Organization F1: 0.8795
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+ - Organization Number: 167
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+ - Person Precision: 0.9854
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+ - Person Recall: 0.9854
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+ - Person F1: 0.9854
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+ - Person Number: 137
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+ - Overall Precision: 0.9204
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+ - Overall Recall: 0.9296
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+ - Overall F1: 0.925
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+ - Overall Accuracy: 0.9840
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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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+ | 0.8465 | 1.0 | 96 | 0.5495 | 0.0 | 0.0 | 0.0 | 94 | 0.3333 | 0.0060 | 0.0118 | 167 | 0.0 | 0.0 | 0.0 | 137 | 0.1667 | 0.0025 | 0.0050 | 0.8345 |
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+ | 0.4598 | 2.0 | 192 | 0.3268 | 0.3939 | 0.1383 | 0.2047 | 94 | 0.3670 | 0.4132 | 0.3887 | 167 | 0.3086 | 0.5474 | 0.3947 | 137 | 0.3384 | 0.3945 | 0.3643 | 0.8923 |
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+ | 0.3128 | 3.0 | 288 | 0.2301 | 0.4235 | 0.3830 | 0.4022 | 94 | 0.5357 | 0.6287 | 0.5785 | 167 | 0.6011 | 0.7810 | 0.6794 | 137 | 0.5403 | 0.6231 | 0.5788 | 0.9329 |
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+ | 0.2169 | 4.0 | 384 | 0.1409 | 0.5644 | 0.6064 | 0.5846 | 94 | 0.6615 | 0.7725 | 0.7127 | 167 | 0.8707 | 0.9343 | 0.9014 | 137 | 0.7088 | 0.7889 | 0.7467 | 0.9577 |
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+ | 0.1458 | 5.0 | 480 | 0.1037 | 0.7685 | 0.8830 | 0.8218 | 94 | 0.7625 | 0.7305 | 0.7462 | 167 | 0.9161 | 0.9562 | 0.9357 | 137 | 0.8175 | 0.8442 | 0.8307 | 0.9685 |
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+ | 0.1248 | 6.0 | 576 | 0.0899 | 0.7981 | 0.8830 | 0.8384 | 94 | 0.7778 | 0.8383 | 0.8069 | 167 | 0.9306 | 0.9781 | 0.9537 | 137 | 0.8341 | 0.8970 | 0.8644 | 0.9718 |
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+ | 0.1067 | 7.0 | 672 | 0.0815 | 0.7838 | 0.9255 | 0.8488 | 94 | 0.8072 | 0.8024 | 0.8048 | 167 | 0.9306 | 0.9781 | 0.9537 | 137 | 0.8432 | 0.8920 | 0.8669 | 0.9729 |
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+ | 0.0964 | 8.0 | 768 | 0.0750 | 0.8381 | 0.9362 | 0.8844 | 94 | 0.8084 | 0.8084 | 0.8084 | 167 | 0.9437 | 0.9781 | 0.9606 | 137 | 0.8623 | 0.8970 | 0.8793 | 0.9751 |
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+ | 0.0926 | 9.0 | 864 | 0.0684 | 0.8190 | 0.9149 | 0.8643 | 94 | 0.8372 | 0.8623 | 0.8496 | 167 | 0.9574 | 0.9854 | 0.9712 | 137 | 0.8732 | 0.9171 | 0.8946 | 0.9762 |
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+ | 0.082 | 10.0 | 960 | 0.0670 | 0.8108 | 0.9574 | 0.8780 | 94 | 0.8274 | 0.8323 | 0.8299 | 167 | 0.9643 | 0.9854 | 0.9747 | 137 | 0.8687 | 0.9146 | 0.8911 | 0.9765 |
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+ | 0.0787 | 11.0 | 1056 | 0.0617 | 0.87 | 0.9255 | 0.8969 | 94 | 0.8545 | 0.8443 | 0.8494 | 167 | 0.9640 | 0.9781 | 0.9710 | 137 | 0.8960 | 0.9095 | 0.9027 | 0.9793 |
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+ | 0.0759 | 12.0 | 1152 | 0.0591 | 0.8318 | 0.9468 | 0.8856 | 94 | 0.8421 | 0.8623 | 0.8521 | 167 | 0.9712 | 0.9854 | 0.9783 | 137 | 0.8825 | 0.9246 | 0.9031 | 0.9782 |
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+ | 0.069 | 13.0 | 1248 | 0.0581 | 0.8411 | 0.9574 | 0.8955 | 94 | 0.8642 | 0.8383 | 0.8511 | 167 | 0.9710 | 0.9781 | 0.9745 | 137 | 0.8943 | 0.9146 | 0.9043 | 0.9798 |
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+ | 0.0648 | 14.0 | 1344 | 0.0534 | 0.8318 | 0.9468 | 0.8856 | 94 | 0.8580 | 0.8683 | 0.8631 | 167 | 0.9783 | 0.9854 | 0.9818 | 137 | 0.8913 | 0.9271 | 0.9089 | 0.9801 |
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+ | 0.0637 | 15.0 | 1440 | 0.0509 | 0.8476 | 0.9468 | 0.8945 | 94 | 0.875 | 0.8802 | 0.8776 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9049 | 0.9322 | 0.9183 | 0.9820 |
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+ | 0.061 | 16.0 | 1536 | 0.0484 | 0.8763 | 0.9043 | 0.8901 | 94 | 0.8629 | 0.9042 | 0.8830 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9115 | 0.9322 | 0.9217 | 0.9826 |
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+ | 0.056 | 17.0 | 1632 | 0.0502 | 0.8558 | 0.9468 | 0.8990 | 94 | 0.8580 | 0.8683 | 0.8631 | 167 | 0.9853 | 0.9781 | 0.9817 | 137 | 0.8998 | 0.9246 | 0.9120 | 0.9823 |
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+ | 0.0566 | 18.0 | 1728 | 0.0482 | 0.8544 | 0.9362 | 0.8934 | 94 | 0.8690 | 0.8743 | 0.8716 | 167 | 0.9853 | 0.9781 | 0.9817 | 137 | 0.9042 | 0.9246 | 0.9143 | 0.9826 |
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+ | 0.0508 | 19.0 | 1824 | 0.0475 | 0.8614 | 0.9255 | 0.8923 | 94 | 0.8743 | 0.8743 | 0.8743 | 167 | 0.9853 | 0.9781 | 0.9817 | 137 | 0.9084 | 0.9221 | 0.9152 | 0.9831 |
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+ | 0.05 | 20.0 | 1920 | 0.0500 | 0.8381 | 0.9362 | 0.8844 | 94 | 0.8614 | 0.8563 | 0.8589 | 167 | 0.9926 | 0.9854 | 0.9890 | 137 | 0.8993 | 0.9196 | 0.9093 | 0.9820 |
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+ | 0.0481 | 21.0 | 2016 | 0.0526 | 0.8148 | 0.9362 | 0.8713 | 94 | 0.8371 | 0.8922 | 0.8638 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.8794 | 0.9347 | 0.9062 | 0.9807 |
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+ | 0.0456 | 22.0 | 2112 | 0.0465 | 0.8922 | 0.9681 | 0.9286 | 94 | 0.8655 | 0.8862 | 0.8757 | 167 | 0.9853 | 0.9781 | 0.9817 | 137 | 0.9120 | 0.9372 | 0.9244 | 0.9843 |
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+ | 0.0438 | 23.0 | 2208 | 0.0555 | 0.8571 | 0.9574 | 0.9045 | 94 | 0.8553 | 0.8144 | 0.8344 | 167 | 0.9926 | 0.9854 | 0.9890 | 137 | 0.9025 | 0.9070 | 0.9048 | 0.9809 |
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+ | 0.0417 | 24.0 | 2304 | 0.0477 | 0.8812 | 0.9468 | 0.9128 | 94 | 0.8947 | 0.9162 | 0.9053 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9263 | 0.9472 | 0.9366 | 0.9862 |
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+ | 0.0412 | 25.0 | 2400 | 0.0511 | 0.8411 | 0.9574 | 0.8955 | 94 | 0.8614 | 0.8563 | 0.8589 | 167 | 0.9926 | 0.9854 | 0.9890 | 137 | 0.8998 | 0.9246 | 0.9120 | 0.9829 |
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+ | 0.0377 | 26.0 | 2496 | 0.0482 | 0.8922 | 0.9681 | 0.9286 | 94 | 0.8802 | 0.8802 | 0.8802 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9187 | 0.9372 | 0.9279 | 0.9845 |
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+ | 0.0394 | 27.0 | 2592 | 0.0450 | 0.8990 | 0.9468 | 0.9223 | 94 | 0.8862 | 0.8862 | 0.8862 | 167 | 0.9853 | 0.9781 | 0.9817 | 137 | 0.9229 | 0.9322 | 0.9275 | 0.9843 |
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+ | 0.0352 | 28.0 | 2688 | 0.0461 | 0.9 | 0.9574 | 0.9278 | 94 | 0.8855 | 0.8802 | 0.8829 | 167 | 0.9781 | 0.9781 | 0.9781 | 137 | 0.9206 | 0.9322 | 0.9263 | 0.9843 |
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+ | 0.0337 | 29.0 | 2784 | 0.0465 | 0.8641 | 0.9468 | 0.9036 | 94 | 0.8810 | 0.8862 | 0.8836 | 167 | 0.9926 | 0.9854 | 0.9890 | 137 | 0.9140 | 0.9347 | 0.9242 | 0.9845 |
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+ | 0.0329 | 30.0 | 2880 | 0.0463 | 0.88 | 0.9362 | 0.9072 | 94 | 0.8869 | 0.8922 | 0.8896 | 167 | 0.9926 | 0.9854 | 0.9890 | 137 | 0.9208 | 0.9347 | 0.9277 | 0.9840 |
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+ | 0.0323 | 31.0 | 2976 | 0.0475 | 0.8911 | 0.9574 | 0.9231 | 94 | 0.8902 | 0.8743 | 0.8822 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9229 | 0.9322 | 0.9275 | 0.9851 |
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+ | 0.0297 | 32.0 | 3072 | 0.0488 | 0.8667 | 0.9681 | 0.9146 | 94 | 0.8841 | 0.8683 | 0.8761 | 167 | 0.9781 | 0.9781 | 0.9781 | 137 | 0.9113 | 0.9296 | 0.9204 | 0.9831 |
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+ | 0.0306 | 33.0 | 3168 | 0.0485 | 0.8824 | 0.9574 | 0.9184 | 94 | 0.8909 | 0.8802 | 0.8855 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9208 | 0.9347 | 0.9277 | 0.9843 |
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+ | 0.0288 | 34.0 | 3264 | 0.0525 | 0.8558 | 0.9468 | 0.8990 | 94 | 0.8834 | 0.8623 | 0.8727 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9109 | 0.9246 | 0.9177 | 0.9815 |
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+ | 0.0283 | 35.0 | 3360 | 0.0485 | 0.8911 | 0.9574 | 0.9231 | 94 | 0.8951 | 0.8683 | 0.8815 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.925 | 0.9296 | 0.9273 | 0.9845 |
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+ | 0.0289 | 36.0 | 3456 | 0.0485 | 0.8529 | 0.9255 | 0.8878 | 94 | 0.8671 | 0.8982 | 0.8824 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9029 | 0.9347 | 0.9185 | 0.9820 |
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+ | 0.0266 | 37.0 | 3552 | 0.0528 | 0.8182 | 0.9574 | 0.8824 | 94 | 0.8861 | 0.8383 | 0.8615 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9012 | 0.9171 | 0.9091 | 0.9812 |
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+ | 0.0268 | 38.0 | 3648 | 0.0474 | 0.91 | 0.9681 | 0.9381 | 94 | 0.9006 | 0.8683 | 0.8841 | 167 | 0.9568 | 0.9708 | 0.9638 | 137 | 0.9225 | 0.9271 | 0.9248 | 0.9848 |
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+ | 0.0263 | 39.0 | 3744 | 0.0530 | 0.7965 | 0.9574 | 0.8696 | 94 | 0.8831 | 0.8144 | 0.8474 | 167 | 0.9710 | 0.9781 | 0.9745 | 137 | 0.8889 | 0.9045 | 0.8966 | 0.9809 |
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+ | 0.0256 | 40.0 | 3840 | 0.0482 | 0.8558 | 0.9468 | 0.8990 | 94 | 0.8655 | 0.8862 | 0.8757 | 167 | 0.9710 | 0.9781 | 0.9745 | 137 | 0.8983 | 0.9322 | 0.9149 | 0.9831 |
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+ | 0.0241 | 41.0 | 3936 | 0.0499 | 0.8396 | 0.9468 | 0.89 | 94 | 0.8606 | 0.8503 | 0.8554 | 167 | 0.9568 | 0.9708 | 0.9638 | 137 | 0.8878 | 0.9146 | 0.9010 | 0.9820 |
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+ | 0.0241 | 42.0 | 4032 | 0.0463 | 0.8911 | 0.9574 | 0.9231 | 94 | 0.8795 | 0.8743 | 0.8769 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9183 | 0.9322 | 0.9252 | 0.9845 |
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+ | 0.0223 | 43.0 | 4128 | 0.0519 | 0.8835 | 0.9681 | 0.9239 | 94 | 0.8951 | 0.8683 | 0.8815 | 167 | 0.9781 | 0.9781 | 0.9781 | 137 | 0.9204 | 0.9296 | 0.925 | 0.9848 |
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+ | 0.0211 | 44.0 | 4224 | 0.0498 | 0.91 | 0.9681 | 0.9381 | 94 | 0.9119 | 0.8683 | 0.8896 | 167 | 0.9781 | 0.9781 | 0.9781 | 137 | 0.9343 | 0.9296 | 0.9320 | 0.9856 |
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+ | 0.0209 | 45.0 | 4320 | 0.0450 | 0.9 | 0.9574 | 0.9278 | 94 | 0.9030 | 0.8922 | 0.8976 | 167 | 0.9710 | 0.9781 | 0.9745 | 137 | 0.9256 | 0.9372 | 0.9313 | 0.9845 |
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+ | 0.0194 | 46.0 | 4416 | 0.0522 | 0.8824 | 0.9574 | 0.9184 | 94 | 0.8951 | 0.8683 | 0.8815 | 167 | 0.9710 | 0.9781 | 0.9745 | 137 | 0.9179 | 0.9271 | 0.9225 | 0.9837 |
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+ | 0.0203 | 47.0 | 4512 | 0.0493 | 0.9 | 0.9574 | 0.9278 | 94 | 0.8976 | 0.8922 | 0.8949 | 167 | 0.9781 | 0.9781 | 0.9781 | 137 | 0.9256 | 0.9372 | 0.9313 | 0.9854 |
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+ | 0.0198 | 48.0 | 4608 | 0.0532 | 0.8911 | 0.9574 | 0.9231 | 94 | 0.8951 | 0.8683 | 0.8815 | 167 | 0.9710 | 0.9781 | 0.9745 | 137 | 0.9202 | 0.9271 | 0.9237 | 0.9845 |
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+ | 0.019 | 49.0 | 4704 | 0.0495 | 0.8641 | 0.9468 | 0.9036 | 94 | 0.8795 | 0.8743 | 0.8769 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9113 | 0.9296 | 0.9204 | 0.9840 |
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+ | 0.0188 | 50.0 | 4800 | 0.0510 | 0.8654 | 0.9574 | 0.9091 | 94 | 0.8735 | 0.8683 | 0.8709 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9091 | 0.9296 | 0.9193 | 0.9840 |
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+ | 0.0174 | 51.0 | 4896 | 0.0542 | 0.8824 | 0.9574 | 0.9184 | 94 | 0.8889 | 0.8623 | 0.8754 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9202 | 0.9271 | 0.9237 | 0.9843 |
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+ | 0.0176 | 52.0 | 4992 | 0.0516 | 0.8911 | 0.9574 | 0.9231 | 94 | 0.8976 | 0.8922 | 0.8949 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9257 | 0.9397 | 0.9327 | 0.9848 |
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+ | 0.0177 | 53.0 | 5088 | 0.0543 | 0.8738 | 0.9574 | 0.9137 | 94 | 0.8788 | 0.8683 | 0.8735 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9136 | 0.9296 | 0.9215 | 0.9840 |
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+ | 0.0177 | 54.0 | 5184 | 0.0510 | 0.8824 | 0.9574 | 0.9184 | 94 | 0.8698 | 0.8802 | 0.8750 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9118 | 0.9347 | 0.9231 | 0.9840 |
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+ | 0.0159 | 55.0 | 5280 | 0.0502 | 0.8571 | 0.9574 | 0.9045 | 94 | 0.8848 | 0.8743 | 0.8795 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9115 | 0.9322 | 0.9217 | 0.9837 |
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+ | 0.0176 | 56.0 | 5376 | 0.0518 | 0.9 | 0.9574 | 0.9278 | 94 | 0.9012 | 0.8743 | 0.8875 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9298 | 0.9322 | 0.9310 | 0.9854 |
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+ | 0.016 | 57.0 | 5472 | 0.0561 | 0.8182 | 0.9574 | 0.8824 | 94 | 0.8797 | 0.8323 | 0.8554 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.8988 | 0.9146 | 0.9066 | 0.9823 |
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+ | 0.0149 | 58.0 | 5568 | 0.0513 | 0.8738 | 0.9574 | 0.9137 | 94 | 0.8848 | 0.8743 | 0.8795 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9160 | 0.9322 | 0.9240 | 0.9845 |
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+ | 0.0154 | 59.0 | 5664 | 0.0543 | 0.8824 | 0.9574 | 0.9184 | 94 | 0.8957 | 0.8743 | 0.8848 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9229 | 0.9322 | 0.9275 | 0.9848 |
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+ | 0.0156 | 60.0 | 5760 | 0.0560 | 0.8411 | 0.9574 | 0.8955 | 94 | 0.8861 | 0.8383 | 0.8615 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9080 | 0.9171 | 0.9125 | 0.9829 |
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+ | 0.0148 | 61.0 | 5856 | 0.0563 | 0.8241 | 0.9468 | 0.8812 | 94 | 0.8841 | 0.8683 | 0.8761 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9022 | 0.9271 | 0.9145 | 0.9823 |
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+ | 0.0138 | 62.0 | 5952 | 0.0551 | 0.8725 | 0.9468 | 0.9082 | 94 | 0.8882 | 0.8563 | 0.8720 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9175 | 0.9221 | 0.9198 | 0.9843 |
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+ | 0.014 | 63.0 | 6048 | 0.0553 | 0.8558 | 0.9468 | 0.8990 | 94 | 0.8802 | 0.8802 | 0.8802 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9093 | 0.9322 | 0.9206 | 0.9834 |
128
+ | 0.0133 | 64.0 | 6144 | 0.0588 | 0.8318 | 0.9468 | 0.8856 | 94 | 0.8642 | 0.8383 | 0.8511 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.8966 | 0.9146 | 0.9055 | 0.9818 |
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+ | 0.0132 | 65.0 | 6240 | 0.0547 | 0.8411 | 0.9574 | 0.8955 | 94 | 0.8875 | 0.8503 | 0.8685 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9084 | 0.9221 | 0.9152 | 0.9829 |
130
+ | 0.0139 | 66.0 | 6336 | 0.0580 | 0.8558 | 0.9468 | 0.8990 | 94 | 0.8758 | 0.8443 | 0.8598 | 167 | 0.9926 | 0.9854 | 0.9890 | 137 | 0.9102 | 0.9171 | 0.9136 | 0.9831 |
131
+ | 0.0127 | 67.0 | 6432 | 0.0560 | 0.8725 | 0.9468 | 0.9082 | 94 | 0.8743 | 0.8743 | 0.8743 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9113 | 0.9296 | 0.9204 | 0.9837 |
132
+ | 0.0124 | 68.0 | 6528 | 0.0570 | 0.8558 | 0.9468 | 0.8990 | 94 | 0.8841 | 0.8683 | 0.8761 | 167 | 0.9926 | 0.9854 | 0.9890 | 137 | 0.9134 | 0.9271 | 0.9202 | 0.9840 |
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+ | 0.0132 | 69.0 | 6624 | 0.0525 | 0.8476 | 0.9468 | 0.8945 | 94 | 0.9080 | 0.8862 | 0.8970 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9185 | 0.9347 | 0.9265 | 0.9845 |
134
+ | 0.0131 | 70.0 | 6720 | 0.0511 | 0.8812 | 0.9468 | 0.9128 | 94 | 0.8902 | 0.8743 | 0.8822 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9204 | 0.9296 | 0.925 | 0.9854 |
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+ | 0.0125 | 71.0 | 6816 | 0.0503 | 0.89 | 0.9468 | 0.9175 | 94 | 0.9030 | 0.8922 | 0.8976 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9279 | 0.9372 | 0.9325 | 0.9859 |
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+ | 0.014 | 72.0 | 6912 | 0.0527 | 0.8558 | 0.9468 | 0.8990 | 94 | 0.8957 | 0.8743 | 0.8848 | 167 | 0.9926 | 0.9854 | 0.9890 | 137 | 0.9181 | 0.9296 | 0.9238 | 0.9848 |
137
+ | 0.0123 | 73.0 | 7008 | 0.0536 | 0.8725 | 0.9468 | 0.9082 | 94 | 0.8780 | 0.8623 | 0.8701 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9132 | 0.9246 | 0.9189 | 0.9840 |
138
+ | 0.0121 | 74.0 | 7104 | 0.0542 | 0.8990 | 0.9468 | 0.9223 | 94 | 0.8902 | 0.8743 | 0.8822 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.925 | 0.9296 | 0.9273 | 0.9843 |
139
+ | 0.0115 | 75.0 | 7200 | 0.0526 | 0.8911 | 0.9574 | 0.9231 | 94 | 0.9074 | 0.8802 | 0.8936 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.93 | 0.9347 | 0.9323 | 0.9851 |
140
+ | 0.0115 | 76.0 | 7296 | 0.0533 | 0.89 | 0.9468 | 0.9175 | 94 | 0.8963 | 0.8802 | 0.8882 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9252 | 0.9322 | 0.9287 | 0.9843 |
141
+ | 0.0129 | 77.0 | 7392 | 0.0554 | 0.8476 | 0.9468 | 0.8945 | 94 | 0.8938 | 0.8563 | 0.8746 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9129 | 0.9221 | 0.9175 | 0.9831 |
142
+ | 0.0117 | 78.0 | 7488 | 0.0548 | 0.8641 | 0.9468 | 0.9036 | 94 | 0.8916 | 0.8862 | 0.8889 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9163 | 0.9347 | 0.9254 | 0.9843 |
143
+ | 0.0107 | 79.0 | 7584 | 0.0551 | 0.8990 | 0.9468 | 0.9223 | 94 | 0.8970 | 0.8862 | 0.8916 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9277 | 0.9347 | 0.9312 | 0.9848 |
144
+ | 0.012 | 80.0 | 7680 | 0.0539 | 0.8641 | 0.9468 | 0.9036 | 94 | 0.8757 | 0.8862 | 0.8810 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9095 | 0.9347 | 0.9219 | 0.9834 |
145
+ | 0.0107 | 81.0 | 7776 | 0.0558 | 0.8558 | 0.9468 | 0.8990 | 94 | 0.8931 | 0.8503 | 0.8712 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.915 | 0.9196 | 0.9173 | 0.9837 |
146
+ | 0.0107 | 82.0 | 7872 | 0.0563 | 0.8641 | 0.9468 | 0.9036 | 94 | 0.8827 | 0.8563 | 0.8693 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9129 | 0.9221 | 0.9175 | 0.9834 |
147
+ | 0.0102 | 83.0 | 7968 | 0.0569 | 0.8725 | 0.9468 | 0.9082 | 94 | 0.8944 | 0.8623 | 0.8780 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.92 | 0.9246 | 0.9223 | 0.9840 |
148
+ | 0.0103 | 84.0 | 8064 | 0.0567 | 0.89 | 0.9468 | 0.9175 | 94 | 0.8889 | 0.8623 | 0.8754 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9223 | 0.9246 | 0.9235 | 0.9840 |
149
+ | 0.0105 | 85.0 | 8160 | 0.0597 | 0.8812 | 0.9468 | 0.9128 | 94 | 0.8882 | 0.8563 | 0.8720 | 167 | 0.9926 | 0.9854 | 0.9890 | 137 | 0.9221 | 0.9221 | 0.9221 | 0.9840 |
150
+ | 0.0113 | 86.0 | 8256 | 0.0552 | 0.89 | 0.9468 | 0.9175 | 94 | 0.8902 | 0.8743 | 0.8822 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9227 | 0.9296 | 0.9262 | 0.9843 |
151
+ | 0.0103 | 87.0 | 8352 | 0.0564 | 0.8725 | 0.9468 | 0.9082 | 94 | 0.8780 | 0.8623 | 0.8701 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9132 | 0.9246 | 0.9189 | 0.9834 |
152
+ | 0.0109 | 88.0 | 8448 | 0.0550 | 0.8812 | 0.9468 | 0.9128 | 94 | 0.8896 | 0.8683 | 0.8788 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9202 | 0.9271 | 0.9237 | 0.9837 |
153
+ | 0.0099 | 89.0 | 8544 | 0.0541 | 0.8812 | 0.9468 | 0.9128 | 94 | 0.8963 | 0.8802 | 0.8882 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9229 | 0.9322 | 0.9275 | 0.9843 |
154
+ | 0.0096 | 90.0 | 8640 | 0.0557 | 0.8812 | 0.9468 | 0.9128 | 94 | 0.8675 | 0.8623 | 0.8649 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9109 | 0.9246 | 0.9177 | 0.9831 |
155
+ | 0.0101 | 91.0 | 8736 | 0.0582 | 0.8812 | 0.9468 | 0.9128 | 94 | 0.8773 | 0.8563 | 0.8667 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9152 | 0.9221 | 0.9186 | 0.9834 |
156
+ | 0.0106 | 92.0 | 8832 | 0.0563 | 0.8725 | 0.9468 | 0.9082 | 94 | 0.8727 | 0.8623 | 0.8675 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9109 | 0.9246 | 0.9177 | 0.9831 |
157
+ | 0.0101 | 93.0 | 8928 | 0.0559 | 0.8725 | 0.9468 | 0.9082 | 94 | 0.8841 | 0.8683 | 0.8761 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9156 | 0.9271 | 0.9213 | 0.9834 |
158
+ | 0.0088 | 94.0 | 9024 | 0.0562 | 0.89 | 0.9468 | 0.9175 | 94 | 0.8896 | 0.8683 | 0.8788 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9225 | 0.9271 | 0.9248 | 0.9840 |
159
+ | 0.0086 | 95.0 | 9120 | 0.0571 | 0.89 | 0.9468 | 0.9175 | 94 | 0.8780 | 0.8623 | 0.8701 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9177 | 0.9246 | 0.9212 | 0.9837 |
160
+ | 0.0101 | 96.0 | 9216 | 0.0561 | 0.89 | 0.9468 | 0.9175 | 94 | 0.8848 | 0.8743 | 0.8795 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9204 | 0.9296 | 0.925 | 0.9840 |
161
+ | 0.0101 | 97.0 | 9312 | 0.0580 | 0.8812 | 0.9468 | 0.9128 | 94 | 0.8720 | 0.8563 | 0.8640 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9129 | 0.9221 | 0.9175 | 0.9831 |
162
+ | 0.0099 | 98.0 | 9408 | 0.0573 | 0.89 | 0.9468 | 0.9175 | 94 | 0.8848 | 0.8743 | 0.8795 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9204 | 0.9296 | 0.925 | 0.9837 |
163
+ | 0.0113 | 99.0 | 9504 | 0.0567 | 0.89 | 0.9468 | 0.9175 | 94 | 0.8848 | 0.8743 | 0.8795 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9204 | 0.9296 | 0.925 | 0.9840 |
164
+ | 0.0091 | 100.0 | 9600 | 0.0567 | 0.89 | 0.9468 | 0.9175 | 94 | 0.8848 | 0.8743 | 0.8795 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.9204 | 0.9296 | 0.925 | 0.9840 |
165
+
166
+
167
+ ### Framework versions
168
+
169
+ - Transformers 4.39.3
170
+ - Pytorch 2.3.0+cu121
171
+ - Datasets 2.19.1
172
+ - Tokenizers 0.15.2
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