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nerui-pt-pl30-2

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  1. README.md +172 -0
  2. nerui-pt/adapter_config.json +22 -0
  3. nerui-pt/head_config.json +19 -0
  4. nerui-pt/pytorch_adapter.bin +3 -0
  5. nerui-pt/pytorch_model_head.bin +3 -0
  6. runs/May28_17-44-16_indolem-petl-vm/events.out.tfevents.1716918264.indolem-petl-vm.148392.0 +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-pt-pl30-2
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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-pt-pl30-2
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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: 0.0762
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+ - Location Precision: 0.8990
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+ - Location Recall: 0.9570
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+ - Location F1: 0.9271
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+ - Location Number: 93
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+ - Organization Precision: 0.9212
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+ - Organization Recall: 0.9157
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+ - Organization F1: 0.9184
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+ - Organization Number: 166
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+ - Person Precision: 0.9858
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+ - Person Recall: 0.9789
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+ - Person F1: 0.9823
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+ - Person Number: 142
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+ - Overall Precision: 0.9383
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+ - Overall Recall: 0.9476
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+ - Overall F1: 0.9429
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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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+ | 0.8509 | 1.0 | 96 | 0.4008 | 0.0 | 0.0 | 0.0 | 93 | 0.1789 | 0.1024 | 0.1303 | 166 | 0.2743 | 0.2183 | 0.2431 | 142 | 0.2243 | 0.1197 | 0.1561 | 0.8540 |
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+ | 0.3586 | 2.0 | 192 | 0.2154 | 0.3182 | 0.4516 | 0.3733 | 93 | 0.5779 | 0.5361 | 0.5563 | 166 | 0.6264 | 0.8028 | 0.7037 | 142 | 0.5235 | 0.6110 | 0.5639 | 0.9374 |
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+ | 0.1952 | 3.0 | 288 | 0.1038 | 0.8214 | 0.7419 | 0.7797 | 93 | 0.6891 | 0.8012 | 0.7409 | 166 | 0.9145 | 0.9789 | 0.9456 | 142 | 0.7949 | 0.8504 | 0.8217 | 0.9679 |
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+ | 0.1367 | 4.0 | 384 | 0.0822 | 0.7455 | 0.8817 | 0.8079 | 93 | 0.8171 | 0.8614 | 0.8387 | 166 | 0.9262 | 0.9718 | 0.9485 | 142 | 0.8364 | 0.9052 | 0.8695 | 0.9742 |
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+ | 0.1095 | 5.0 | 480 | 0.0643 | 0.8681 | 0.8495 | 0.8587 | 93 | 0.8294 | 0.8494 | 0.8393 | 166 | 0.9384 | 0.9648 | 0.9514 | 142 | 0.8771 | 0.8903 | 0.8837 | 0.9797 |
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+ | 0.0973 | 6.0 | 576 | 0.0598 | 0.7627 | 0.9677 | 0.8531 | 93 | 0.9143 | 0.7711 | 0.8366 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.8878 | 0.8878 | 0.8878 | 0.9808 |
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+ | 0.0853 | 7.0 | 672 | 0.0533 | 0.875 | 0.9032 | 0.8889 | 93 | 0.8757 | 0.9337 | 0.9038 | 166 | 0.9855 | 0.9577 | 0.9714 | 142 | 0.9124 | 0.9352 | 0.9236 | 0.9844 |
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+ | 0.0769 | 8.0 | 768 | 0.0484 | 0.8350 | 0.9247 | 0.8776 | 93 | 0.9264 | 0.9096 | 0.9179 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9216 | 0.9377 | 0.9295 | 0.9849 |
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+ | 0.0706 | 9.0 | 864 | 0.0409 | 0.87 | 0.9355 | 0.9016 | 93 | 0.8802 | 0.8855 | 0.8829 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9142 | 0.9302 | 0.9221 | 0.9868 |
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+ | 0.0623 | 10.0 | 960 | 0.0426 | 0.8411 | 0.9677 | 0.9000 | 93 | 0.9441 | 0.9157 | 0.9297 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9315 | 0.9501 | 0.9407 | 0.9882 |
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+ | 0.0613 | 11.0 | 1056 | 0.0378 | 0.9082 | 0.9570 | 0.9319 | 93 | 0.9162 | 0.9217 | 0.9189 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9384 | 0.9501 | 0.9442 | 0.9890 |
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+ | 0.0566 | 12.0 | 1152 | 0.0360 | 0.9368 | 0.9570 | 0.9468 | 93 | 0.9512 | 0.9398 | 0.9455 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.96 | 0.9576 | 0.9588 | 0.9907 |
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+ | 0.0501 | 13.0 | 1248 | 0.0447 | 0.8911 | 0.9677 | 0.9278 | 93 | 0.9367 | 0.8916 | 0.9136 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9425 | 0.9401 | 0.9413 | 0.9874 |
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+ | 0.0461 | 14.0 | 1344 | 0.0428 | 0.91 | 0.9785 | 0.9430 | 93 | 0.9563 | 0.9217 | 0.9387 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9551 | 0.9551 | 0.9551 | 0.9885 |
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+ | 0.0431 | 15.0 | 1440 | 0.0411 | 0.9368 | 0.9570 | 0.9468 | 93 | 0.9398 | 0.9398 | 0.9398 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9504 | 0.9551 | 0.9527 | 0.9890 |
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+ | 0.0449 | 16.0 | 1536 | 0.0463 | 0.89 | 0.9570 | 0.9223 | 93 | 0.9048 | 0.9157 | 0.9102 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9291 | 0.9476 | 0.9383 | 0.9857 |
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+ | 0.0431 | 17.0 | 1632 | 0.0476 | 0.8969 | 0.9355 | 0.9158 | 93 | 0.9176 | 0.9398 | 0.9286 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9340 | 0.9526 | 0.9432 | 0.9871 |
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+ | 0.0373 | 18.0 | 1728 | 0.0441 | 0.8725 | 0.9570 | 0.9128 | 93 | 0.9367 | 0.8916 | 0.9136 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9328 | 0.9352 | 0.9340 | 0.9871 |
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+ | 0.0373 | 19.0 | 1824 | 0.0427 | 0.9348 | 0.9247 | 0.9297 | 93 | 0.9167 | 0.9277 | 0.9222 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9451 | 0.9451 | 0.9451 | 0.9893 |
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+ | 0.0339 | 20.0 | 1920 | 0.0478 | 0.9082 | 0.9570 | 0.9319 | 93 | 0.9012 | 0.9337 | 0.9172 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9249 | 0.9526 | 0.9386 | 0.9871 |
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+ | 0.0327 | 21.0 | 2016 | 0.0514 | 0.9158 | 0.9355 | 0.9255 | 93 | 0.9313 | 0.8976 | 0.9141 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9470 | 0.9352 | 0.9410 | 0.9877 |
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+ | 0.0297 | 22.0 | 2112 | 0.0461 | 0.8878 | 0.9355 | 0.9110 | 93 | 0.9167 | 0.9277 | 0.9222 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9314 | 0.9476 | 0.9394 | 0.9874 |
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+ | 0.03 | 23.0 | 2208 | 0.0486 | 0.9167 | 0.9462 | 0.9312 | 93 | 0.9212 | 0.9157 | 0.9184 | 166 | 0.9720 | 0.9789 | 0.9754 | 142 | 0.9381 | 0.9451 | 0.9416 | 0.9882 |
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+ | 0.0289 | 24.0 | 2304 | 0.0528 | 0.88 | 0.9462 | 0.9119 | 93 | 0.9217 | 0.9217 | 0.9217 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9314 | 0.9476 | 0.9394 | 0.9877 |
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+ | 0.0284 | 25.0 | 2400 | 0.0557 | 0.8980 | 0.9462 | 0.9215 | 93 | 0.9222 | 0.9277 | 0.9249 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9361 | 0.9501 | 0.9431 | 0.9874 |
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+ | 0.0285 | 26.0 | 2496 | 0.0507 | 0.9062 | 0.9355 | 0.9206 | 93 | 0.9455 | 0.9398 | 0.9426 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9479 | 0.9526 | 0.9502 | 0.9890 |
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+ | 0.027 | 27.0 | 2592 | 0.0575 | 0.9082 | 0.9570 | 0.9319 | 93 | 0.9437 | 0.9096 | 0.9264 | 166 | 0.9720 | 0.9789 | 0.9754 | 142 | 0.9451 | 0.9451 | 0.9451 | 0.9874 |
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+ | 0.0248 | 28.0 | 2688 | 0.0595 | 0.9043 | 0.9140 | 0.9091 | 93 | 0.9006 | 0.9277 | 0.9139 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9287 | 0.9426 | 0.9356 | 0.9868 |
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+ | 0.0248 | 29.0 | 2784 | 0.0575 | 0.9082 | 0.9570 | 0.9319 | 93 | 0.9394 | 0.9337 | 0.9366 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9457 | 0.9551 | 0.9504 | 0.9877 |
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+ | 0.0261 | 30.0 | 2880 | 0.0548 | 0.8969 | 0.9355 | 0.9158 | 93 | 0.8966 | 0.9398 | 0.9176 | 166 | 0.9720 | 0.9789 | 0.9754 | 142 | 0.9227 | 0.9526 | 0.9374 | 0.9863 |
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+ | 0.0245 | 31.0 | 2976 | 0.0547 | 0.9175 | 0.9570 | 0.9368 | 93 | 0.9325 | 0.9157 | 0.9240 | 166 | 0.9720 | 0.9789 | 0.9754 | 142 | 0.9429 | 0.9476 | 0.9453 | 0.9885 |
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+ | 0.0228 | 32.0 | 3072 | 0.0518 | 0.8788 | 0.9355 | 0.9062 | 93 | 0.9118 | 0.9337 | 0.9226 | 166 | 0.9720 | 0.9789 | 0.9754 | 142 | 0.9248 | 0.9501 | 0.9373 | 0.9863 |
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+ | 0.0223 | 33.0 | 3168 | 0.0561 | 0.9167 | 0.9462 | 0.9312 | 93 | 0.9162 | 0.9217 | 0.9189 | 166 | 0.9787 | 0.9718 | 0.9753 | 142 | 0.9381 | 0.9451 | 0.9416 | 0.9863 |
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+ | 0.0218 | 34.0 | 3264 | 0.0550 | 0.9167 | 0.9462 | 0.9312 | 93 | 0.9162 | 0.9217 | 0.9189 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9383 | 0.9476 | 0.9429 | 0.9882 |
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+ | 0.0195 | 35.0 | 3360 | 0.0587 | 0.9167 | 0.9462 | 0.9312 | 93 | 0.9167 | 0.9277 | 0.9222 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9384 | 0.9501 | 0.9442 | 0.9885 |
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+ | 0.0168 | 36.0 | 3456 | 0.0611 | 0.8990 | 0.9570 | 0.9271 | 93 | 0.9325 | 0.9157 | 0.9240 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9406 | 0.9476 | 0.9441 | 0.9882 |
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+ | 0.0181 | 37.0 | 3552 | 0.0557 | 0.9167 | 0.9462 | 0.9312 | 93 | 0.9264 | 0.9096 | 0.9179 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9378 | 0.9401 | 0.9390 | 0.9877 |
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+ | 0.0165 | 38.0 | 3648 | 0.0581 | 0.9263 | 0.9462 | 0.9362 | 93 | 0.925 | 0.8916 | 0.9080 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9421 | 0.9327 | 0.9373 | 0.9874 |
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+ | 0.0187 | 39.0 | 3744 | 0.0616 | 0.9175 | 0.9570 | 0.9368 | 93 | 0.9444 | 0.9217 | 0.9329 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9501 | 0.9501 | 0.9501 | 0.9896 |
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+ | 0.0168 | 40.0 | 3840 | 0.0635 | 0.9263 | 0.9462 | 0.9362 | 93 | 0.9325 | 0.9157 | 0.9240 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9475 | 0.9451 | 0.9463 | 0.9888 |
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+ | 0.0166 | 41.0 | 3936 | 0.0609 | 0.9263 | 0.9462 | 0.9362 | 93 | 0.9162 | 0.9217 | 0.9189 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9406 | 0.9476 | 0.9441 | 0.9882 |
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+ | 0.0176 | 42.0 | 4032 | 0.0621 | 0.9362 | 0.9462 | 0.9412 | 93 | 0.9273 | 0.9217 | 0.9245 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9476 | 0.9476 | 0.9476 | 0.9882 |
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+ | 0.0153 | 43.0 | 4128 | 0.0630 | 0.8889 | 0.9462 | 0.9167 | 93 | 0.9264 | 0.9096 | 0.9179 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9309 | 0.9401 | 0.9355 | 0.9866 |
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+ | 0.0149 | 44.0 | 4224 | 0.0693 | 0.9072 | 0.9462 | 0.9263 | 93 | 0.9146 | 0.9036 | 0.9091 | 166 | 0.9720 | 0.9789 | 0.9754 | 142 | 0.9332 | 0.9401 | 0.9366 | 0.9868 |
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+ | 0.0142 | 45.0 | 4320 | 0.0719 | 0.9082 | 0.9570 | 0.9319 | 93 | 0.9036 | 0.9036 | 0.9036 | 166 | 0.9580 | 0.9648 | 0.9614 | 142 | 0.9238 | 0.9377 | 0.9307 | 0.9868 |
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+ | 0.0134 | 46.0 | 4416 | 0.0747 | 0.8824 | 0.9677 | 0.9231 | 93 | 0.9130 | 0.8855 | 0.8991 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9307 | 0.9377 | 0.9342 | 0.9868 |
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+ | 0.013 | 47.0 | 4512 | 0.0697 | 0.9167 | 0.9462 | 0.9312 | 93 | 0.9207 | 0.9096 | 0.9152 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9403 | 0.9426 | 0.9415 | 0.9874 |
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+ | 0.0139 | 48.0 | 4608 | 0.0733 | 0.9184 | 0.9677 | 0.9424 | 93 | 0.9313 | 0.8976 | 0.9141 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.945 | 0.9426 | 0.9438 | 0.9879 |
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+ | 0.0136 | 49.0 | 4704 | 0.0635 | 0.9167 | 0.9462 | 0.9312 | 93 | 0.9096 | 0.9096 | 0.9096 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9356 | 0.9426 | 0.9391 | 0.9882 |
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+ | 0.013 | 50.0 | 4800 | 0.0638 | 0.9062 | 0.9355 | 0.9206 | 93 | 0.9212 | 0.9157 | 0.9184 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9403 | 0.9426 | 0.9415 | 0.9882 |
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+ | 0.0117 | 51.0 | 4896 | 0.0662 | 0.9082 | 0.9570 | 0.9319 | 93 | 0.9325 | 0.9157 | 0.9240 | 166 | 0.9787 | 0.9718 | 0.9753 | 142 | 0.9428 | 0.9451 | 0.9440 | 0.9879 |
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+ | 0.0117 | 52.0 | 4992 | 0.0663 | 0.8889 | 0.9462 | 0.9167 | 93 | 0.9217 | 0.9217 | 0.9217 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9337 | 0.9476 | 0.9406 | 0.9868 |
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+ | 0.0122 | 53.0 | 5088 | 0.0696 | 0.9255 | 0.9355 | 0.9305 | 93 | 0.9167 | 0.9277 | 0.9222 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9406 | 0.9476 | 0.9441 | 0.9877 |
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+ | 0.011 | 54.0 | 5184 | 0.0659 | 0.8958 | 0.9247 | 0.9101 | 93 | 0.9064 | 0.9337 | 0.9199 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9291 | 0.9476 | 0.9383 | 0.9874 |
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+ | 0.0125 | 55.0 | 5280 | 0.0608 | 0.9175 | 0.9570 | 0.9368 | 93 | 0.9268 | 0.9157 | 0.9212 | 166 | 0.9787 | 0.9718 | 0.9753 | 142 | 0.9428 | 0.9451 | 0.9440 | 0.9890 |
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+ | 0.0104 | 56.0 | 5376 | 0.0650 | 0.9082 | 0.9570 | 0.9319 | 93 | 0.9212 | 0.9157 | 0.9184 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9383 | 0.9476 | 0.9429 | 0.9885 |
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+ | 0.0104 | 57.0 | 5472 | 0.0737 | 0.88 | 0.9462 | 0.9119 | 93 | 0.9048 | 0.9157 | 0.9102 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9220 | 0.9426 | 0.9322 | 0.9863 |
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+ | 0.0093 | 58.0 | 5568 | 0.0671 | 0.8990 | 0.9570 | 0.9271 | 93 | 0.9259 | 0.9036 | 0.9146 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9380 | 0.9426 | 0.9403 | 0.9877 |
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+ | 0.0101 | 59.0 | 5664 | 0.0685 | 0.9082 | 0.9570 | 0.9319 | 93 | 0.9264 | 0.9096 | 0.9179 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9380 | 0.9426 | 0.9403 | 0.9877 |
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+ | 0.0105 | 60.0 | 5760 | 0.0733 | 0.89 | 0.9570 | 0.9223 | 93 | 0.9321 | 0.9096 | 0.9207 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9356 | 0.9426 | 0.9391 | 0.9868 |
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+ | 0.0092 | 61.0 | 5856 | 0.0650 | 0.9255 | 0.9355 | 0.9305 | 93 | 0.9333 | 0.9277 | 0.9305 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9476 | 0.9476 | 0.9476 | 0.9890 |
126
+ | 0.0108 | 62.0 | 5952 | 0.0710 | 0.9091 | 0.9677 | 0.9375 | 93 | 0.9437 | 0.9096 | 0.9264 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9476 | 0.9476 | 0.9476 | 0.9874 |
127
+ | 0.0132 | 63.0 | 6048 | 0.0703 | 0.89 | 0.9570 | 0.9223 | 93 | 0.9379 | 0.9096 | 0.9235 | 166 | 0.9789 | 0.9789 | 0.9789 | 142 | 0.9404 | 0.9451 | 0.9428 | 0.9866 |
128
+ | 0.008 | 64.0 | 6144 | 0.0640 | 0.9072 | 0.9462 | 0.9263 | 93 | 0.9273 | 0.9217 | 0.9245 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9429 | 0.9476 | 0.9453 | 0.9882 |
129
+ | 0.0094 | 65.0 | 6240 | 0.0701 | 0.8980 | 0.9462 | 0.9215 | 93 | 0.9333 | 0.9277 | 0.9305 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9431 | 0.9501 | 0.9466 | 0.9888 |
130
+ | 0.0091 | 66.0 | 6336 | 0.0703 | 0.9082 | 0.9570 | 0.9319 | 93 | 0.9217 | 0.9217 | 0.9217 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9407 | 0.9501 | 0.9454 | 0.9888 |
131
+ | 0.0085 | 67.0 | 6432 | 0.0751 | 0.9091 | 0.9677 | 0.9375 | 93 | 0.9321 | 0.9096 | 0.9207 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9453 | 0.9476 | 0.9465 | 0.9874 |
132
+ | 0.0076 | 68.0 | 6528 | 0.0737 | 0.9 | 0.9677 | 0.9326 | 93 | 0.9152 | 0.9096 | 0.9124 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9360 | 0.9476 | 0.9418 | 0.9874 |
133
+ | 0.0091 | 69.0 | 6624 | 0.0716 | 0.8990 | 0.9570 | 0.9271 | 93 | 0.8869 | 0.8976 | 0.8922 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9240 | 0.9401 | 0.9320 | 0.9877 |
134
+ | 0.0075 | 70.0 | 6720 | 0.0742 | 0.8980 | 0.9462 | 0.9215 | 93 | 0.9102 | 0.9157 | 0.9129 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9335 | 0.9451 | 0.9393 | 0.9871 |
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+ | 0.0083 | 71.0 | 6816 | 0.0688 | 0.9175 | 0.9570 | 0.9368 | 93 | 0.9157 | 0.9157 | 0.9157 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9406 | 0.9476 | 0.9441 | 0.9885 |
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+ | 0.0092 | 72.0 | 6912 | 0.0689 | 0.89 | 0.9570 | 0.9223 | 93 | 0.9202 | 0.9036 | 0.9119 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9356 | 0.9426 | 0.9391 | 0.9871 |
137
+ | 0.007 | 73.0 | 7008 | 0.0694 | 0.8990 | 0.9570 | 0.9271 | 93 | 0.8988 | 0.9096 | 0.9042 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9289 | 0.9451 | 0.9370 | 0.9874 |
138
+ | 0.0077 | 74.0 | 7104 | 0.0711 | 0.8990 | 0.9570 | 0.9271 | 93 | 0.9321 | 0.9096 | 0.9207 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9428 | 0.9451 | 0.9440 | 0.9882 |
139
+ | 0.0081 | 75.0 | 7200 | 0.0711 | 0.8990 | 0.9570 | 0.9271 | 93 | 0.9152 | 0.9096 | 0.9124 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9358 | 0.9451 | 0.9404 | 0.9879 |
140
+ | 0.0071 | 76.0 | 7296 | 0.0742 | 0.9184 | 0.9677 | 0.9424 | 93 | 0.9325 | 0.9157 | 0.9240 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9478 | 0.9501 | 0.9489 | 0.9882 |
141
+ | 0.0067 | 77.0 | 7392 | 0.0788 | 0.9091 | 0.9677 | 0.9375 | 93 | 0.9152 | 0.9096 | 0.9124 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9383 | 0.9476 | 0.9429 | 0.9871 |
142
+ | 0.0085 | 78.0 | 7488 | 0.0762 | 0.9 | 0.9677 | 0.9326 | 93 | 0.9207 | 0.9096 | 0.9152 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9383 | 0.9476 | 0.9429 | 0.9879 |
143
+ | 0.006 | 79.0 | 7584 | 0.0722 | 0.9271 | 0.9570 | 0.9418 | 93 | 0.9162 | 0.9217 | 0.9189 | 166 | 0.9787 | 0.9718 | 0.9753 | 142 | 0.9406 | 0.9476 | 0.9441 | 0.9888 |
144
+ | 0.0066 | 80.0 | 7680 | 0.0744 | 0.9091 | 0.9677 | 0.9375 | 93 | 0.9379 | 0.9096 | 0.9235 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9476 | 0.9476 | 0.9476 | 0.9885 |
145
+ | 0.0073 | 81.0 | 7776 | 0.0727 | 0.9072 | 0.9462 | 0.9263 | 93 | 0.9222 | 0.9277 | 0.9249 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9407 | 0.9501 | 0.9454 | 0.9888 |
146
+ | 0.0068 | 82.0 | 7872 | 0.0770 | 0.9091 | 0.9677 | 0.9375 | 93 | 0.9329 | 0.9217 | 0.9273 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9455 | 0.9526 | 0.9491 | 0.9885 |
147
+ | 0.006 | 83.0 | 7968 | 0.0746 | 0.8990 | 0.9570 | 0.9271 | 93 | 0.9264 | 0.9096 | 0.9179 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9404 | 0.9451 | 0.9428 | 0.9882 |
148
+ | 0.0063 | 84.0 | 8064 | 0.0725 | 0.8990 | 0.9570 | 0.9271 | 93 | 0.9162 | 0.9217 | 0.9189 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9361 | 0.9501 | 0.9431 | 0.9882 |
149
+ | 0.0065 | 85.0 | 8160 | 0.0731 | 0.9072 | 0.9462 | 0.9263 | 93 | 0.9112 | 0.9277 | 0.9194 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9361 | 0.9501 | 0.9431 | 0.9882 |
150
+ | 0.0067 | 86.0 | 8256 | 0.0754 | 0.8911 | 0.9677 | 0.9278 | 93 | 0.9130 | 0.8855 | 0.8991 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9330 | 0.9377 | 0.9353 | 0.9868 |
151
+ | 0.0067 | 87.0 | 8352 | 0.0750 | 0.8980 | 0.9462 | 0.9215 | 93 | 0.9107 | 0.9217 | 0.9162 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9337 | 0.9476 | 0.9406 | 0.9879 |
152
+ | 0.0054 | 88.0 | 8448 | 0.0753 | 0.8980 | 0.9462 | 0.9215 | 93 | 0.8976 | 0.8976 | 0.8976 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9284 | 0.9377 | 0.9330 | 0.9874 |
153
+ | 0.0055 | 89.0 | 8544 | 0.0770 | 0.8980 | 0.9462 | 0.9215 | 93 | 0.8941 | 0.9157 | 0.9048 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9267 | 0.9451 | 0.9358 | 0.9871 |
154
+ | 0.0052 | 90.0 | 8640 | 0.0763 | 0.8990 | 0.9570 | 0.9271 | 93 | 0.9102 | 0.9157 | 0.9129 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9337 | 0.9476 | 0.9406 | 0.9877 |
155
+ | 0.0057 | 91.0 | 8736 | 0.0752 | 0.8990 | 0.9570 | 0.9271 | 93 | 0.9102 | 0.9157 | 0.9129 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9337 | 0.9476 | 0.9406 | 0.9879 |
156
+ | 0.0059 | 92.0 | 8832 | 0.0749 | 0.8990 | 0.9570 | 0.9271 | 93 | 0.9048 | 0.9157 | 0.9102 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9314 | 0.9476 | 0.9394 | 0.9882 |
157
+ | 0.0055 | 93.0 | 8928 | 0.0752 | 0.8980 | 0.9462 | 0.9215 | 93 | 0.9273 | 0.9217 | 0.9245 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9406 | 0.9476 | 0.9441 | 0.9885 |
158
+ | 0.0063 | 94.0 | 9024 | 0.0748 | 0.8990 | 0.9570 | 0.9271 | 93 | 0.9096 | 0.9096 | 0.9096 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9335 | 0.9451 | 0.9393 | 0.9874 |
159
+ | 0.0055 | 95.0 | 9120 | 0.0754 | 0.8980 | 0.9462 | 0.9215 | 93 | 0.9157 | 0.9157 | 0.9157 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9358 | 0.9451 | 0.9404 | 0.9879 |
160
+ | 0.0066 | 96.0 | 9216 | 0.0761 | 0.8990 | 0.9570 | 0.9271 | 93 | 0.9212 | 0.9157 | 0.9184 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9383 | 0.9476 | 0.9429 | 0.9882 |
161
+ | 0.0051 | 97.0 | 9312 | 0.0764 | 0.8990 | 0.9570 | 0.9271 | 93 | 0.9207 | 0.9096 | 0.9152 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9381 | 0.9451 | 0.9416 | 0.9879 |
162
+ | 0.0056 | 98.0 | 9408 | 0.0765 | 0.8990 | 0.9570 | 0.9271 | 93 | 0.9207 | 0.9096 | 0.9152 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9381 | 0.9451 | 0.9416 | 0.9879 |
163
+ | 0.0054 | 99.0 | 9504 | 0.0764 | 0.8990 | 0.9570 | 0.9271 | 93 | 0.9212 | 0.9157 | 0.9184 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9383 | 0.9476 | 0.9429 | 0.9882 |
164
+ | 0.0052 | 100.0 | 9600 | 0.0762 | 0.8990 | 0.9570 | 0.9271 | 93 | 0.9212 | 0.9157 | 0.9184 | 166 | 0.9858 | 0.9789 | 0.9823 | 142 | 0.9383 | 0.9476 | 0.9429 | 0.9882 |
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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