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nerui-pt-pl50-4

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  1. README.md +172 -0
  2. adapter-ner/adapter_config.json +22 -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-pt-pl50-4
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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-pl50-4
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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: 0.0479
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+ - Location Precision: 0.9333
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+ - Location Recall: 0.9515
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+ - Location F1: 0.9423
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+ - Location Number: 103
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+ - Organization Precision: 0.9419
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+ - Organization Recall: 0.9474
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+ - Organization F1: 0.9446
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+ - Organization Number: 171
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+ - Person Precision: 0.9771
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+ - Person Recall: 0.9771
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+ - Person F1: 0.9771
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+ - Person Number: 131
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+ - Overall Precision: 0.9510
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+ - Overall Recall: 0.9580
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+ - Overall F1: 0.9545
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+ - Overall Accuracy: 0.9912
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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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+ | 0.8665 | 1.0 | 96 | 0.4224 | 0.0 | 0.0 | 0.0 | 103 | 0.1404 | 0.0468 | 0.0702 | 171 | 0.1818 | 0.0458 | 0.0732 | 131 | 0.1538 | 0.0346 | 0.0565 | 0.8429 |
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+ | 0.3663 | 2.0 | 192 | 0.2041 | 0.4068 | 0.4660 | 0.4344 | 103 | 0.6587 | 0.6433 | 0.6509 | 171 | 0.7261 | 0.8702 | 0.7917 | 131 | 0.6154 | 0.6716 | 0.6423 | 0.9392 |
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+ | 0.1986 | 3.0 | 288 | 0.0988 | 0.7723 | 0.7573 | 0.7647 | 103 | 0.7732 | 0.8772 | 0.8219 | 171 | 0.9474 | 0.9618 | 0.9545 | 131 | 0.8271 | 0.8741 | 0.8499 | 0.9713 |
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+ | 0.1405 | 4.0 | 384 | 0.0792 | 0.8208 | 0.8447 | 0.8325 | 103 | 0.8280 | 0.9006 | 0.8627 | 171 | 0.9343 | 0.9771 | 0.9552 | 131 | 0.8601 | 0.9111 | 0.8849 | 0.9760 |
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+ | 0.1124 | 5.0 | 480 | 0.0597 | 0.8878 | 0.8447 | 0.8657 | 103 | 0.8743 | 0.8947 | 0.8844 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9062 | 0.9062 | 0.9062 | 0.9815 |
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+ | 0.0945 | 6.0 | 576 | 0.0551 | 0.8362 | 0.9417 | 0.8858 | 103 | 0.9032 | 0.8187 | 0.8589 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9057 | 0.9012 | 0.9035 | 0.9829 |
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+ | 0.0869 | 7.0 | 672 | 0.0455 | 0.8911 | 0.8738 | 0.8824 | 103 | 0.8798 | 0.9415 | 0.9096 | 171 | 0.9845 | 0.9695 | 0.9769 | 131 | 0.9153 | 0.9333 | 0.9242 | 0.9867 |
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+ | 0.0771 | 8.0 | 768 | 0.0429 | 0.8991 | 0.9515 | 0.9245 | 103 | 0.9017 | 0.9123 | 0.9070 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9227 | 0.9432 | 0.9328 | 0.9870 |
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+ | 0.0687 | 9.0 | 864 | 0.0448 | 0.9057 | 0.9320 | 0.9187 | 103 | 0.8857 | 0.9064 | 0.8960 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9130 | 0.9333 | 0.9231 | 0.9870 |
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+ | 0.0645 | 10.0 | 960 | 0.0380 | 0.9412 | 0.9320 | 0.9366 | 103 | 0.9153 | 0.9474 | 0.9310 | 171 | 0.9692 | 0.9618 | 0.9655 | 131 | 0.9389 | 0.9481 | 0.9435 | 0.9898 |
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+ | 0.0571 | 11.0 | 1056 | 0.0343 | 0.94 | 0.9126 | 0.9261 | 103 | 0.8962 | 0.9591 | 0.9266 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9322 | 0.9506 | 0.9413 | 0.9895 |
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+ | 0.056 | 12.0 | 1152 | 0.0425 | 0.9293 | 0.8932 | 0.9109 | 103 | 0.8994 | 0.9415 | 0.9200 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9268 | 0.9383 | 0.9325 | 0.9876 |
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+ | 0.0515 | 13.0 | 1248 | 0.0425 | 0.93 | 0.9029 | 0.9163 | 103 | 0.8824 | 0.9649 | 0.9218 | 171 | 0.9545 | 0.9618 | 0.9582 | 131 | 0.9165 | 0.9481 | 0.9320 | 0.9878 |
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+ | 0.0491 | 14.0 | 1344 | 0.0440 | 0.9238 | 0.9417 | 0.9327 | 103 | 0.9118 | 0.9064 | 0.9091 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9312 | 0.9358 | 0.9335 | 0.9878 |
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+ | 0.0471 | 15.0 | 1440 | 0.0393 | 0.9691 | 0.9126 | 0.94 | 103 | 0.9153 | 0.9474 | 0.9310 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9433 | 0.9457 | 0.9445 | 0.9890 |
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+ | 0.043 | 16.0 | 1536 | 0.0386 | 0.9057 | 0.9320 | 0.9187 | 103 | 0.9029 | 0.9240 | 0.9133 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9225 | 0.9407 | 0.9315 | 0.9873 |
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+ | 0.0403 | 17.0 | 1632 | 0.0430 | 0.97 | 0.9417 | 0.9557 | 103 | 0.9195 | 0.9357 | 0.9275 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9435 | 0.9481 | 0.9458 | 0.9898 |
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+ | 0.04 | 18.0 | 1728 | 0.0440 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9118 | 0.9064 | 0.9091 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9338 | 0.9407 | 0.9373 | 0.9881 |
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+ | 0.0379 | 19.0 | 1824 | 0.0462 | 0.8609 | 0.9612 | 0.9083 | 103 | 0.9434 | 0.8772 | 0.9091 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9286 | 0.9309 | 0.9297 | 0.9873 |
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+ | 0.037 | 20.0 | 1920 | 0.0461 | 0.8839 | 0.9612 | 0.9209 | 103 | 0.9107 | 0.8947 | 0.9027 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9221 | 0.9358 | 0.9289 | 0.9873 |
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+ | 0.0368 | 21.0 | 2016 | 0.0481 | 0.8609 | 0.9612 | 0.9083 | 103 | 0.9125 | 0.8538 | 0.8822 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9140 | 0.9185 | 0.9163 | 0.9859 |
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+ | 0.0331 | 22.0 | 2112 | 0.0397 | 0.9238 | 0.9417 | 0.9327 | 103 | 0.9298 | 0.9298 | 0.9298 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9387 | 0.9457 | 0.9422 | 0.9887 |
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+ | 0.0317 | 23.0 | 2208 | 0.0429 | 0.9074 | 0.9515 | 0.9289 | 103 | 0.9286 | 0.9123 | 0.9204 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9338 | 0.9407 | 0.9373 | 0.9876 |
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+ | 0.0339 | 24.0 | 2304 | 0.0436 | 0.8919 | 0.9612 | 0.9252 | 103 | 0.9506 | 0.9006 | 0.9249 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9383 | 0.9383 | 0.9383 | 0.9876 |
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+ | 0.0325 | 25.0 | 2400 | 0.0454 | 0.8839 | 0.9612 | 0.9209 | 103 | 0.9497 | 0.8830 | 0.9152 | 171 | 0.9545 | 0.9618 | 0.9582 | 131 | 0.9330 | 0.9284 | 0.9307 | 0.9873 |
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+ | 0.0287 | 26.0 | 2496 | 0.0478 | 0.9231 | 0.9320 | 0.9275 | 103 | 0.9123 | 0.9123 | 0.9123 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9312 | 0.9358 | 0.9335 | 0.9873 |
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+ | 0.0288 | 27.0 | 2592 | 0.0451 | 0.9423 | 0.9515 | 0.9469 | 103 | 0.9191 | 0.9298 | 0.9244 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9389 | 0.9481 | 0.9435 | 0.9884 |
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+ | 0.0274 | 28.0 | 2688 | 0.0474 | 0.9159 | 0.9515 | 0.9333 | 103 | 0.9298 | 0.9298 | 0.9298 | 171 | 0.9545 | 0.9618 | 0.9582 | 131 | 0.9341 | 0.9457 | 0.9399 | 0.9867 |
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+ | 0.0259 | 29.0 | 2784 | 0.0498 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9249 | 0.9357 | 0.9302 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9390 | 0.9506 | 0.9448 | 0.9884 |
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+ | 0.0248 | 30.0 | 2880 | 0.0496 | 0.9495 | 0.9126 | 0.9307 | 103 | 0.8994 | 0.9415 | 0.9200 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9317 | 0.9432 | 0.9374 | 0.9867 |
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+ | 0.0226 | 31.0 | 2976 | 0.0559 | 0.8829 | 0.9515 | 0.9159 | 103 | 0.9255 | 0.8713 | 0.8976 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9280 | 0.9235 | 0.9257 | 0.9854 |
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+ | 0.0238 | 32.0 | 3072 | 0.0477 | 0.9510 | 0.9417 | 0.9463 | 103 | 0.9138 | 0.9298 | 0.9217 | 171 | 0.9618 | 0.9618 | 0.9618 | 131 | 0.9386 | 0.9432 | 0.9409 | 0.9884 |
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+ | 0.0218 | 33.0 | 3168 | 0.0555 | 0.8333 | 0.9709 | 0.8969 | 103 | 0.9226 | 0.8363 | 0.8773 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9113 | 0.9136 | 0.9125 | 0.9845 |
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+ | 0.0258 | 34.0 | 3264 | 0.0493 | 0.9083 | 0.9612 | 0.9340 | 103 | 0.9273 | 0.8947 | 0.9107 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9335 | 0.9358 | 0.9346 | 0.9873 |
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+ | 0.0246 | 35.0 | 3360 | 0.0491 | 0.8991 | 0.9515 | 0.9245 | 103 | 0.9118 | 0.9064 | 0.9091 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9268 | 0.9383 | 0.9325 | 0.9873 |
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+ | 0.0215 | 36.0 | 3456 | 0.0474 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9222 | 0.9006 | 0.9112 | 171 | 0.9618 | 0.9618 | 0.9618 | 131 | 0.9356 | 0.9333 | 0.9345 | 0.9884 |
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+ | 0.0207 | 37.0 | 3552 | 0.0467 | 0.9406 | 0.9223 | 0.9314 | 103 | 0.9070 | 0.9123 | 0.9096 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9333 | 0.9333 | 0.9333 | 0.9876 |
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+ | 0.0194 | 38.0 | 3648 | 0.0544 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9128 | 0.9181 | 0.9155 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9363 | 0.9432 | 0.9397 | 0.9873 |
103
+ | 0.0204 | 39.0 | 3744 | 0.0415 | 0.9223 | 0.9223 | 0.9223 | 103 | 0.92 | 0.9415 | 0.9306 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9341 | 0.9457 | 0.9399 | 0.9887 |
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+ | 0.0184 | 40.0 | 3840 | 0.0441 | 0.9510 | 0.9417 | 0.9463 | 103 | 0.8983 | 0.9298 | 0.9138 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9341 | 0.9457 | 0.9399 | 0.9890 |
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+ | 0.0198 | 41.0 | 3936 | 0.0452 | 0.9688 | 0.9029 | 0.9347 | 103 | 0.8883 | 0.9298 | 0.9086 | 171 | 0.9618 | 0.9618 | 0.9618 | 131 | 0.9310 | 0.9333 | 0.9322 | 0.9884 |
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+ | 0.0175 | 42.0 | 4032 | 0.0432 | 0.9510 | 0.9417 | 0.9463 | 103 | 0.9253 | 0.9415 | 0.9333 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9461 | 0.9531 | 0.9496 | 0.9898 |
107
+ | 0.0158 | 43.0 | 4128 | 0.0483 | 0.9231 | 0.9320 | 0.9275 | 103 | 0.9222 | 0.9006 | 0.9112 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9378 | 0.9309 | 0.9343 | 0.9878 |
108
+ | 0.0177 | 44.0 | 4224 | 0.0490 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9123 | 0.9123 | 0.9123 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9338 | 0.9407 | 0.9373 | 0.9884 |
109
+ | 0.0185 | 45.0 | 4320 | 0.0478 | 0.9083 | 0.9612 | 0.9340 | 103 | 0.9226 | 0.9064 | 0.9145 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9315 | 0.9407 | 0.9361 | 0.9878 |
110
+ | 0.0164 | 46.0 | 4416 | 0.0473 | 0.9340 | 0.9612 | 0.9474 | 103 | 0.9235 | 0.9181 | 0.9208 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9412 | 0.9481 | 0.9446 | 0.9890 |
111
+ | 0.0168 | 47.0 | 4512 | 0.0444 | 0.9406 | 0.9223 | 0.9314 | 103 | 0.9086 | 0.9298 | 0.9191 | 171 | 0.9618 | 0.9618 | 0.9618 | 131 | 0.9337 | 0.9383 | 0.9360 | 0.9887 |
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+ | 0.0149 | 48.0 | 4608 | 0.0490 | 0.9604 | 0.9417 | 0.9510 | 103 | 0.9138 | 0.9298 | 0.9217 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9458 | 0.9481 | 0.9470 | 0.9890 |
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+ | 0.0154 | 49.0 | 4704 | 0.0490 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9390 | 0.9006 | 0.9194 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9453 | 0.9383 | 0.9418 | 0.9884 |
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+ | 0.0148 | 50.0 | 4800 | 0.0464 | 0.9252 | 0.9612 | 0.9429 | 103 | 0.9226 | 0.9064 | 0.9145 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9386 | 0.9432 | 0.9409 | 0.9895 |
115
+ | 0.016 | 51.0 | 4896 | 0.0577 | 0.9083 | 0.9612 | 0.9340 | 103 | 0.9444 | 0.8947 | 0.9189 | 171 | 0.9545 | 0.9618 | 0.9582 | 131 | 0.9380 | 0.9333 | 0.9356 | 0.9876 |
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+ | 0.0138 | 52.0 | 4992 | 0.0492 | 0.9231 | 0.9320 | 0.9275 | 103 | 0.9226 | 0.9064 | 0.9145 | 171 | 0.9618 | 0.9618 | 0.9618 | 131 | 0.9355 | 0.9309 | 0.9332 | 0.9873 |
117
+ | 0.0137 | 53.0 | 5088 | 0.0522 | 0.9314 | 0.9223 | 0.9268 | 103 | 0.9080 | 0.9240 | 0.9159 | 171 | 0.9618 | 0.9618 | 0.9618 | 131 | 0.9312 | 0.9358 | 0.9335 | 0.9884 |
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+ | 0.0127 | 54.0 | 5184 | 0.0505 | 0.9159 | 0.9515 | 0.9333 | 103 | 0.9357 | 0.9357 | 0.9357 | 171 | 0.9618 | 0.9618 | 0.9618 | 131 | 0.9389 | 0.9481 | 0.9435 | 0.9887 |
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+ | 0.0142 | 55.0 | 5280 | 0.0514 | 0.9238 | 0.9417 | 0.9327 | 103 | 0.9345 | 0.9181 | 0.9263 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9431 | 0.9407 | 0.9419 | 0.9890 |
120
+ | 0.012 | 56.0 | 5376 | 0.0532 | 0.9159 | 0.9515 | 0.9333 | 103 | 0.9286 | 0.9123 | 0.9204 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9407 | 0.9407 | 0.9407 | 0.9881 |
121
+ | 0.0141 | 57.0 | 5472 | 0.0524 | 0.9252 | 0.9612 | 0.9429 | 103 | 0.9398 | 0.9123 | 0.9258 | 171 | 0.9542 | 0.9542 | 0.9542 | 131 | 0.9406 | 0.9383 | 0.9394 | 0.9878 |
122
+ | 0.0123 | 58.0 | 5568 | 0.0503 | 0.9159 | 0.9515 | 0.9333 | 103 | 0.9408 | 0.9298 | 0.9353 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9435 | 0.9481 | 0.9458 | 0.9887 |
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+ | 0.0137 | 59.0 | 5664 | 0.0478 | 0.9327 | 0.9417 | 0.9372 | 103 | 0.9235 | 0.9181 | 0.9208 | 171 | 0.9545 | 0.9618 | 0.9582 | 131 | 0.9360 | 0.9383 | 0.9371 | 0.9884 |
124
+ | 0.0112 | 60.0 | 5760 | 0.0517 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9398 | 0.9123 | 0.9258 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9478 | 0.9407 | 0.9442 | 0.9890 |
125
+ | 0.012 | 61.0 | 5856 | 0.0424 | 0.93 | 0.9029 | 0.9163 | 103 | 0.9357 | 0.9357 | 0.9357 | 171 | 0.9398 | 0.9542 | 0.9470 | 131 | 0.9356 | 0.9333 | 0.9345 | 0.9884 |
126
+ | 0.0116 | 62.0 | 5952 | 0.0487 | 0.9340 | 0.9612 | 0.9474 | 103 | 0.9461 | 0.9240 | 0.9349 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9481 | 0.9481 | 0.9481 | 0.9887 |
127
+ | 0.0116 | 63.0 | 6048 | 0.0477 | 0.9327 | 0.9417 | 0.9372 | 103 | 0.9298 | 0.9298 | 0.9298 | 171 | 0.9545 | 0.9618 | 0.9582 | 131 | 0.9386 | 0.9432 | 0.9409 | 0.9887 |
128
+ | 0.0099 | 64.0 | 6144 | 0.0493 | 0.9238 | 0.9417 | 0.9327 | 103 | 0.9337 | 0.9064 | 0.9199 | 171 | 0.9545 | 0.9618 | 0.9582 | 131 | 0.9380 | 0.9333 | 0.9356 | 0.9878 |
129
+ | 0.0127 | 65.0 | 6240 | 0.0442 | 0.9505 | 0.9320 | 0.9412 | 103 | 0.9364 | 0.9474 | 0.9419 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9506 | 0.9506 | 0.9506 | 0.9901 |
130
+ | 0.0097 | 66.0 | 6336 | 0.0476 | 0.9340 | 0.9612 | 0.9474 | 103 | 0.9461 | 0.9240 | 0.9349 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9481 | 0.9481 | 0.9481 | 0.9890 |
131
+ | 0.0111 | 67.0 | 6432 | 0.0427 | 0.9346 | 0.9709 | 0.9524 | 103 | 0.9415 | 0.9415 | 0.9415 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9511 | 0.9605 | 0.9558 | 0.9906 |
132
+ | 0.0092 | 68.0 | 6528 | 0.0484 | 0.9340 | 0.9612 | 0.9474 | 103 | 0.9235 | 0.9181 | 0.9208 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9435 | 0.9481 | 0.9458 | 0.9903 |
133
+ | 0.0091 | 69.0 | 6624 | 0.0479 | 0.9346 | 0.9709 | 0.9524 | 103 | 0.9521 | 0.9298 | 0.9408 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9556 | 0.9556 | 0.9556 | 0.9898 |
134
+ | 0.0102 | 70.0 | 6720 | 0.0474 | 0.9259 | 0.9709 | 0.9479 | 103 | 0.9573 | 0.9181 | 0.9373 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9553 | 0.9506 | 0.9530 | 0.9895 |
135
+ | 0.0099 | 71.0 | 6816 | 0.0448 | 0.9320 | 0.9320 | 0.9320 | 103 | 0.9148 | 0.9415 | 0.9280 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9390 | 0.9506 | 0.9448 | 0.9892 |
136
+ | 0.0102 | 72.0 | 6912 | 0.0486 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9451 | 0.9064 | 0.9254 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.95 | 0.9383 | 0.9441 | 0.9887 |
137
+ | 0.0097 | 73.0 | 7008 | 0.0505 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9527 | 0.9415 | 0.9471 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9507 | 0.9531 | 0.9519 | 0.9895 |
138
+ | 0.0094 | 74.0 | 7104 | 0.0494 | 0.9412 | 0.9320 | 0.9366 | 103 | 0.9353 | 0.9298 | 0.9326 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9479 | 0.9432 | 0.9455 | 0.9892 |
139
+ | 0.0083 | 75.0 | 7200 | 0.0489 | 0.9340 | 0.9612 | 0.9474 | 103 | 0.9302 | 0.9357 | 0.9329 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9438 | 0.9531 | 0.9484 | 0.9903 |
140
+ | 0.0084 | 76.0 | 7296 | 0.0458 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9467 | 0.9357 | 0.9412 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9483 | 0.9506 | 0.9494 | 0.9898 |
141
+ | 0.0088 | 77.0 | 7392 | 0.0488 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9401 | 0.9181 | 0.9290 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9455 | 0.9432 | 0.9444 | 0.9892 |
142
+ | 0.0091 | 78.0 | 7488 | 0.0486 | 0.9167 | 0.9612 | 0.9384 | 103 | 0.9524 | 0.9357 | 0.9440 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9509 | 0.9556 | 0.9532 | 0.9898 |
143
+ | 0.0078 | 79.0 | 7584 | 0.0478 | 0.9167 | 0.9612 | 0.9384 | 103 | 0.9521 | 0.9298 | 0.9408 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9483 | 0.9506 | 0.9494 | 0.9892 |
144
+ | 0.0071 | 80.0 | 7680 | 0.0472 | 0.9231 | 0.9320 | 0.9275 | 103 | 0.9306 | 0.9415 | 0.9360 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9412 | 0.9481 | 0.9446 | 0.9901 |
145
+ | 0.0095 | 81.0 | 7776 | 0.0462 | 0.9417 | 0.9417 | 0.9417 | 103 | 0.9205 | 0.9474 | 0.9337 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9439 | 0.9556 | 0.9497 | 0.9901 |
146
+ | 0.008 | 82.0 | 7872 | 0.0491 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9240 | 0.9240 | 0.9240 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9412 | 0.9481 | 0.9446 | 0.9898 |
147
+ | 0.0075 | 83.0 | 7968 | 0.0492 | 0.9412 | 0.9320 | 0.9366 | 103 | 0.9364 | 0.9474 | 0.9419 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9507 | 0.9531 | 0.9519 | 0.9901 |
148
+ | 0.0071 | 84.0 | 8064 | 0.0497 | 0.9423 | 0.9515 | 0.9469 | 103 | 0.9306 | 0.9415 | 0.9360 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9485 | 0.9556 | 0.9520 | 0.9906 |
149
+ | 0.0074 | 85.0 | 8160 | 0.0506 | 0.9231 | 0.9320 | 0.9275 | 103 | 0.9294 | 0.9240 | 0.9267 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9432 | 0.9432 | 0.9432 | 0.9895 |
150
+ | 0.0074 | 86.0 | 8256 | 0.0508 | 0.9252 | 0.9612 | 0.9429 | 103 | 0.9412 | 0.9357 | 0.9384 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9485 | 0.9556 | 0.9520 | 0.9903 |
151
+ | 0.0071 | 87.0 | 8352 | 0.0505 | 0.9223 | 0.9223 | 0.9223 | 103 | 0.9253 | 0.9415 | 0.9333 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9412 | 0.9481 | 0.9446 | 0.9901 |
152
+ | 0.006 | 88.0 | 8448 | 0.0518 | 0.9143 | 0.9320 | 0.9231 | 103 | 0.9357 | 0.9357 | 0.9357 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9435 | 0.9481 | 0.9458 | 0.9903 |
153
+ | 0.0085 | 89.0 | 8544 | 0.0490 | 0.9238 | 0.9417 | 0.9327 | 103 | 0.9310 | 0.9474 | 0.9391 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9439 | 0.9556 | 0.9497 | 0.9903 |
154
+ | 0.0067 | 90.0 | 8640 | 0.0488 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9415 | 0.9415 | 0.9415 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9485 | 0.9556 | 0.9520 | 0.9909 |
155
+ | 0.0075 | 91.0 | 8736 | 0.0488 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9415 | 0.9415 | 0.9415 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9485 | 0.9556 | 0.9520 | 0.9901 |
156
+ | 0.0064 | 92.0 | 8832 | 0.0488 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9474 | 0.9474 | 0.9474 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9533 | 0.9580 | 0.9557 | 0.9906 |
157
+ | 0.007 | 93.0 | 8928 | 0.0497 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9415 | 0.9415 | 0.9415 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9485 | 0.9556 | 0.9520 | 0.9906 |
158
+ | 0.0072 | 94.0 | 9024 | 0.0493 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9419 | 0.9474 | 0.9446 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9510 | 0.9580 | 0.9545 | 0.9912 |
159
+ | 0.0072 | 95.0 | 9120 | 0.0495 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9415 | 0.9415 | 0.9415 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9485 | 0.9556 | 0.9520 | 0.9909 |
160
+ | 0.0063 | 96.0 | 9216 | 0.0481 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9415 | 0.9415 | 0.9415 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9485 | 0.9556 | 0.9520 | 0.9909 |
161
+ | 0.0056 | 97.0 | 9312 | 0.0488 | 0.9151 | 0.9417 | 0.9282 | 103 | 0.9357 | 0.9357 | 0.9357 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9436 | 0.9506 | 0.9471 | 0.9903 |
162
+ | 0.0069 | 98.0 | 9408 | 0.0481 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9419 | 0.9474 | 0.9446 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9510 | 0.9580 | 0.9545 | 0.9912 |
163
+ | 0.006 | 99.0 | 9504 | 0.0481 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9357 | 0.9357 | 0.9357 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9461 | 0.9531 | 0.9496 | 0.9906 |
164
+ | 0.0063 | 100.0 | 9600 | 0.0479 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9419 | 0.9474 | 0.9446 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9510 | 0.9580 | 0.9545 | 0.9912 |
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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