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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: nerugm-seq_bn-1
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # nerugm-seq_bn-1
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+
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+ This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1642
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+ - Location Precision: 0.7195
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+ - Location Recall: 0.8551
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+ - Location F1: 0.7815
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+ - Location Number: 69
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+ - Organization Precision: 0.6098
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+ - Organization Recall: 0.8197
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+ - Organization F1: 0.6993
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+ - Organization Number: 61
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+ - Person Precision: 0.8494
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+ - Person Recall: 0.9216
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+ - Person F1: 0.8840
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+ - Person Number: 153
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+ - Quantity Precision: 0.7105
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+ - Quantity Recall: 0.8438
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+ - Quantity F1: 0.7714
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+ - Quantity Number: 32
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+ - Time Precision: 0.7941
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+ - Time Recall: 0.8710
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+ - Time F1: 0.8308
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+ - Time Number: 31
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+ - Overall Precision: 0.7562
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+ - Overall Recall: 0.8786
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+ - Overall F1: 0.8128
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+ - Overall Accuracy: 0.9604
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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 | Quantity Precision | Quantity Recall | Quantity F1 | Quantity Number | Time Precision | Time Recall | Time F1 | Time Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------------------:|:---------------:|:-----------:|:---------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:----------------:|:-------------:|:---------:|:-------------:|:------------------:|:---------------:|:-----------:|:---------------:|:--------------:|:-----------:|:-------:|:-----------:|:-----------------:|:--------------:|:----------:|:----------------:|
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+ | 0.9293 | 1.0 | 106 | 0.6360 | 0.0 | 0.0 | 0.0 | 69 | 0.0 | 0.0 | 0.0 | 61 | 0.25 | 0.0065 | 0.0127 | 153 | 0.0 | 0.0 | 0.0 | 32 | 0.0 | 0.0 | 0.0 | 31 | 0.2 | 0.0029 | 0.0057 | 0.8358 |
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+ | 0.5712 | 2.0 | 212 | 0.4339 | 0.5 | 0.1449 | 0.2247 | 69 | 0.08 | 0.0328 | 0.0465 | 61 | 0.4311 | 0.4706 | 0.45 | 153 | 0.0 | 0.0 | 0.0 | 32 | 0.6667 | 0.4516 | 0.5385 | 31 | 0.4206 | 0.2832 | 0.3385 | 0.8806 |
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+ | 0.4084 | 3.0 | 318 | 0.3173 | 0.5063 | 0.5797 | 0.5405 | 69 | 0.3036 | 0.2787 | 0.2906 | 61 | 0.5535 | 0.7778 | 0.6467 | 153 | 0.2333 | 0.2188 | 0.2258 | 32 | 0.6667 | 0.7097 | 0.6875 | 31 | 0.4964 | 0.5925 | 0.5402 | 0.9165 |
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+ | 0.306 | 4.0 | 424 | 0.2266 | 0.5595 | 0.6812 | 0.6144 | 69 | 0.4643 | 0.4262 | 0.4444 | 61 | 0.6989 | 0.8497 | 0.7670 | 153 | 0.5676 | 0.6562 | 0.6087 | 32 | 0.8065 | 0.8065 | 0.8065 | 31 | 0.6320 | 0.7197 | 0.6730 | 0.9371 |
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+ | 0.2369 | 5.0 | 530 | 0.2118 | 0.5189 | 0.7971 | 0.6286 | 69 | 0.4651 | 0.6557 | 0.5442 | 61 | 0.7158 | 0.8889 | 0.7930 | 153 | 0.4583 | 0.6875 | 0.5500 | 32 | 0.7879 | 0.8387 | 0.8125 | 31 | 0.6026 | 0.8064 | 0.6897 | 0.9381 |
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+ | 0.1993 | 6.0 | 636 | 0.1713 | 0.6129 | 0.8261 | 0.7037 | 69 | 0.5366 | 0.7213 | 0.6154 | 61 | 0.7701 | 0.8758 | 0.8196 | 153 | 0.5122 | 0.6562 | 0.5753 | 32 | 0.8438 | 0.8710 | 0.8571 | 31 | 0.6706 | 0.8179 | 0.7370 | 0.9482 |
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+ | 0.1745 | 7.0 | 742 | 0.1560 | 0.6914 | 0.8116 | 0.7467 | 69 | 0.5233 | 0.7377 | 0.6122 | 61 | 0.7988 | 0.8824 | 0.8385 | 153 | 0.5476 | 0.7188 | 0.6216 | 32 | 0.8438 | 0.8710 | 0.8571 | 31 | 0.6976 | 0.8266 | 0.7566 | 0.9512 |
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+ | 0.158 | 8.0 | 848 | 0.1504 | 0.7024 | 0.8551 | 0.7712 | 69 | 0.5476 | 0.7541 | 0.6345 | 61 | 0.8036 | 0.8824 | 0.8411 | 153 | 0.5610 | 0.7188 | 0.6301 | 32 | 0.6842 | 0.8387 | 0.7536 | 31 | 0.6964 | 0.8353 | 0.7595 | 0.9522 |
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+ | 0.1464 | 9.0 | 954 | 0.1448 | 0.6897 | 0.8696 | 0.7692 | 69 | 0.5366 | 0.7213 | 0.6154 | 61 | 0.8182 | 0.8824 | 0.8491 | 153 | 0.6 | 0.75 | 0.6667 | 32 | 0.7429 | 0.8387 | 0.7879 | 31 | 0.7066 | 0.8353 | 0.7656 | 0.9529 |
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+ | 0.14 | 10.0 | 1060 | 0.1318 | 0.75 | 0.8261 | 0.7862 | 69 | 0.5676 | 0.6885 | 0.6222 | 61 | 0.8210 | 0.8693 | 0.8444 | 153 | 0.6757 | 0.7812 | 0.7246 | 32 | 0.75 | 0.8710 | 0.8060 | 31 | 0.7377 | 0.8208 | 0.7770 | 0.9584 |
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+ | 0.1336 | 11.0 | 1166 | 0.1326 | 0.6941 | 0.8551 | 0.7662 | 69 | 0.5857 | 0.6721 | 0.6260 | 61 | 0.8344 | 0.8889 | 0.8608 | 153 | 0.5854 | 0.75 | 0.6575 | 32 | 0.7297 | 0.8710 | 0.7941 | 31 | 0.7247 | 0.8295 | 0.7736 | 0.9559 |
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+ | 0.126 | 12.0 | 1272 | 0.1323 | 0.7229 | 0.8696 | 0.7895 | 69 | 0.6111 | 0.7213 | 0.6617 | 61 | 0.8284 | 0.9150 | 0.8696 | 153 | 0.5714 | 0.75 | 0.6486 | 32 | 0.75 | 0.8710 | 0.8060 | 31 | 0.7338 | 0.8526 | 0.7888 | 0.9569 |
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+ | 0.1209 | 13.0 | 1378 | 0.1298 | 0.7317 | 0.8696 | 0.7947 | 69 | 0.6 | 0.7869 | 0.6809 | 61 | 0.8323 | 0.9085 | 0.8688 | 153 | 0.6944 | 0.7812 | 0.7353 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7494 | 0.8642 | 0.8027 | 0.9601 |
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+ | 0.1172 | 14.0 | 1484 | 0.1449 | 0.7284 | 0.8551 | 0.7867 | 69 | 0.5699 | 0.8689 | 0.6883 | 61 | 0.8150 | 0.9216 | 0.8650 | 153 | 0.5714 | 0.75 | 0.6486 | 32 | 0.6842 | 0.8387 | 0.7536 | 31 | 0.7096 | 0.8757 | 0.7840 | 0.9529 |
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+ | 0.1135 | 15.0 | 1590 | 0.1262 | 0.7407 | 0.8696 | 0.8000 | 69 | 0.6479 | 0.7541 | 0.6970 | 61 | 0.8293 | 0.8889 | 0.8580 | 153 | 0.6944 | 0.7812 | 0.7353 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7617 | 0.8497 | 0.8033 | 0.9606 |
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+ | 0.1087 | 16.0 | 1696 | 0.1269 | 0.7595 | 0.8696 | 0.8108 | 69 | 0.6203 | 0.8033 | 0.7 | 61 | 0.8263 | 0.9020 | 0.8625 | 153 | 0.6944 | 0.7812 | 0.7353 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7570 | 0.8642 | 0.8070 | 0.9611 |
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+ | 0.1041 | 17.0 | 1802 | 0.1356 | 0.7407 | 0.8696 | 0.8000 | 69 | 0.65 | 0.8525 | 0.7376 | 61 | 0.8313 | 0.9020 | 0.8652 | 153 | 0.6190 | 0.8125 | 0.7027 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.75 | 0.8757 | 0.8080 | 0.9584 |
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+ | 0.102 | 18.0 | 1908 | 0.1280 | 0.75 | 0.8696 | 0.8054 | 69 | 0.6338 | 0.7377 | 0.6818 | 61 | 0.8354 | 0.8954 | 0.8644 | 153 | 0.6757 | 0.7812 | 0.7246 | 32 | 0.7429 | 0.8387 | 0.7879 | 31 | 0.7571 | 0.8468 | 0.7995 | 0.9606 |
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+ | 0.0999 | 19.0 | 2014 | 0.1217 | 0.7821 | 0.8841 | 0.8299 | 69 | 0.6053 | 0.7541 | 0.6715 | 61 | 0.8415 | 0.9020 | 0.8707 | 153 | 0.6316 | 0.75 | 0.6857 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7590 | 0.8555 | 0.8043 | 0.9623 |
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+ | 0.0942 | 20.0 | 2120 | 0.1324 | 0.7229 | 0.8696 | 0.7895 | 69 | 0.6623 | 0.8361 | 0.7391 | 61 | 0.8343 | 0.9216 | 0.8758 | 153 | 0.65 | 0.8125 | 0.7222 | 32 | 0.7105 | 0.8710 | 0.7826 | 31 | 0.7494 | 0.8815 | 0.8101 | 0.9604 |
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+ | 0.0932 | 21.0 | 2226 | 0.1428 | 0.6932 | 0.8841 | 0.7771 | 69 | 0.6386 | 0.8689 | 0.7361 | 61 | 0.8294 | 0.9216 | 0.8731 | 153 | 0.625 | 0.7812 | 0.6944 | 32 | 0.7027 | 0.8387 | 0.7647 | 31 | 0.7321 | 0.8844 | 0.8010 | 0.9564 |
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+ | 0.0916 | 22.0 | 2332 | 0.1281 | 0.7595 | 0.8696 | 0.8108 | 69 | 0.6711 | 0.8361 | 0.7445 | 61 | 0.8393 | 0.9216 | 0.8785 | 153 | 0.6944 | 0.7812 | 0.7353 | 32 | 0.7647 | 0.8387 | 0.8000 | 31 | 0.7710 | 0.8757 | 0.8200 | 0.9628 |
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+ | 0.0892 | 23.0 | 2438 | 0.1260 | 0.7692 | 0.8696 | 0.8163 | 69 | 0.6711 | 0.8361 | 0.7445 | 61 | 0.8443 | 0.9216 | 0.8812 | 153 | 0.6667 | 0.8125 | 0.7324 | 32 | 0.7647 | 0.8387 | 0.8000 | 31 | 0.7716 | 0.8786 | 0.8216 | 0.9628 |
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+ | 0.0865 | 24.0 | 2544 | 0.1433 | 0.6897 | 0.8696 | 0.7692 | 69 | 0.6463 | 0.8689 | 0.7413 | 61 | 0.8443 | 0.9216 | 0.8812 | 153 | 0.6667 | 0.8125 | 0.7324 | 32 | 0.7027 | 0.8387 | 0.7647 | 31 | 0.7427 | 0.8844 | 0.8074 | 0.9579 |
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+ | 0.0834 | 25.0 | 2650 | 0.1323 | 0.7595 | 0.8696 | 0.8108 | 69 | 0.6790 | 0.9016 | 0.7746 | 61 | 0.8494 | 0.9216 | 0.8840 | 153 | 0.65 | 0.8125 | 0.7222 | 32 | 0.7429 | 0.8387 | 0.7879 | 31 | 0.7681 | 0.8902 | 0.8246 | 0.9614 |
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+ | 0.0823 | 26.0 | 2756 | 0.1324 | 0.7595 | 0.8696 | 0.8108 | 69 | 0.6627 | 0.9016 | 0.7639 | 61 | 0.8494 | 0.9216 | 0.8840 | 153 | 0.6923 | 0.8438 | 0.7606 | 32 | 0.7647 | 0.8387 | 0.8000 | 31 | 0.7706 | 0.8931 | 0.8273 | 0.9616 |
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+ | 0.0809 | 27.0 | 2862 | 0.1321 | 0.75 | 0.8696 | 0.8054 | 69 | 0.6623 | 0.8361 | 0.7391 | 61 | 0.8537 | 0.9150 | 0.8833 | 153 | 0.6923 | 0.8438 | 0.7606 | 32 | 0.7647 | 0.8387 | 0.8000 | 31 | 0.7716 | 0.8786 | 0.8216 | 0.9616 |
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+ | 0.0793 | 28.0 | 2968 | 0.1276 | 0.75 | 0.8696 | 0.8054 | 69 | 0.625 | 0.7377 | 0.6767 | 61 | 0.8545 | 0.9216 | 0.8868 | 153 | 0.6842 | 0.8125 | 0.7429 | 32 | 0.7429 | 0.8387 | 0.7879 | 31 | 0.7641 | 0.8613 | 0.8098 | 0.9619 |
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+ | 0.0759 | 29.0 | 3074 | 0.1305 | 0.75 | 0.8696 | 0.8054 | 69 | 0.6582 | 0.8525 | 0.7429 | 61 | 0.8485 | 0.9150 | 0.8805 | 153 | 0.7027 | 0.8125 | 0.7536 | 32 | 0.7647 | 0.8387 | 0.8000 | 31 | 0.7696 | 0.8786 | 0.8205 | 0.9616 |
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+ | 0.0742 | 30.0 | 3180 | 0.1352 | 0.7407 | 0.8696 | 0.8000 | 69 | 0.6235 | 0.8689 | 0.7260 | 61 | 0.8494 | 0.9216 | 0.8840 | 153 | 0.6857 | 0.75 | 0.7164 | 32 | 0.7647 | 0.8387 | 0.8000 | 31 | 0.7581 | 0.8786 | 0.8139 | 0.9596 |
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+ | 0.0755 | 31.0 | 3286 | 0.1235 | 0.7284 | 0.8551 | 0.7867 | 69 | 0.6438 | 0.7705 | 0.7015 | 61 | 0.8434 | 0.9150 | 0.8777 | 153 | 0.7222 | 0.8125 | 0.7647 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7667 | 0.8642 | 0.8125 | 0.9628 |
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+ | 0.0709 | 32.0 | 3392 | 0.1266 | 0.7375 | 0.8551 | 0.7919 | 69 | 0.6506 | 0.8852 | 0.75 | 61 | 0.8537 | 0.9150 | 0.8833 | 153 | 0.7222 | 0.8125 | 0.7647 | 32 | 0.7647 | 0.8387 | 0.8000 | 31 | 0.7683 | 0.8815 | 0.8210 | 0.9628 |
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+ | 0.0711 | 33.0 | 3498 | 0.1263 | 0.7692 | 0.8696 | 0.8163 | 69 | 0.6795 | 0.8689 | 0.7626 | 61 | 0.8537 | 0.9150 | 0.8833 | 153 | 0.6944 | 0.7812 | 0.7353 | 32 | 0.7879 | 0.8387 | 0.8125 | 31 | 0.7815 | 0.8786 | 0.8272 | 0.9646 |
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+ | 0.0698 | 34.0 | 3604 | 0.1398 | 0.7317 | 0.8696 | 0.7947 | 69 | 0.6235 | 0.8689 | 0.7260 | 61 | 0.8503 | 0.9281 | 0.8875 | 153 | 0.65 | 0.8125 | 0.7222 | 32 | 0.7429 | 0.8387 | 0.7879 | 31 | 0.7506 | 0.8873 | 0.8132 | 0.9591 |
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+ | 0.0669 | 35.0 | 3710 | 0.1391 | 0.6988 | 0.8406 | 0.7632 | 69 | 0.6136 | 0.8852 | 0.7248 | 61 | 0.8598 | 0.9216 | 0.8896 | 153 | 0.6667 | 0.8125 | 0.7324 | 32 | 0.7879 | 0.8387 | 0.8125 | 31 | 0.7494 | 0.8815 | 0.8101 | 0.9586 |
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+ | 0.0659 | 36.0 | 3816 | 0.1316 | 0.7195 | 0.8551 | 0.7815 | 69 | 0.6310 | 0.8689 | 0.7310 | 61 | 0.8606 | 0.9281 | 0.8931 | 153 | 0.7222 | 0.8125 | 0.7647 | 32 | 0.7647 | 0.8387 | 0.8000 | 31 | 0.7631 | 0.8844 | 0.8193 | 0.9623 |
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+ | 0.0627 | 37.0 | 3922 | 0.1347 | 0.7108 | 0.8551 | 0.7763 | 69 | 0.6207 | 0.8852 | 0.7297 | 61 | 0.8598 | 0.9216 | 0.8896 | 153 | 0.7027 | 0.8125 | 0.7536 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7599 | 0.8873 | 0.8187 | 0.9606 |
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+ | 0.0627 | 38.0 | 4028 | 0.1356 | 0.7531 | 0.8841 | 0.8133 | 69 | 0.6463 | 0.8689 | 0.7413 | 61 | 0.8494 | 0.9216 | 0.8840 | 153 | 0.6842 | 0.8125 | 0.7429 | 32 | 0.7647 | 0.8387 | 0.8000 | 31 | 0.7656 | 0.8873 | 0.8220 | 0.9621 |
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+ | 0.0592 | 39.0 | 4134 | 0.1278 | 0.7821 | 0.8841 | 0.8299 | 69 | 0.6494 | 0.8197 | 0.7246 | 61 | 0.8485 | 0.9150 | 0.8805 | 153 | 0.7222 | 0.8125 | 0.7647 | 32 | 0.8438 | 0.8710 | 0.8571 | 31 | 0.7835 | 0.8786 | 0.8283 | 0.9641 |
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+ | 0.06 | 40.0 | 4240 | 0.1365 | 0.6905 | 0.8406 | 0.7582 | 69 | 0.65 | 0.8525 | 0.7376 | 61 | 0.8485 | 0.9150 | 0.8805 | 153 | 0.6667 | 0.8125 | 0.7324 | 32 | 0.7879 | 0.8387 | 0.8125 | 31 | 0.7531 | 0.8728 | 0.8086 | 0.9599 |
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+ | 0.0583 | 41.0 | 4346 | 0.1365 | 0.7284 | 0.8551 | 0.7867 | 69 | 0.6548 | 0.9016 | 0.7586 | 61 | 0.8402 | 0.9281 | 0.8820 | 153 | 0.7222 | 0.8125 | 0.7647 | 32 | 0.7879 | 0.8387 | 0.8125 | 31 | 0.7643 | 0.8902 | 0.8224 | 0.9619 |
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+ | 0.0592 | 42.0 | 4452 | 0.1467 | 0.75 | 0.8696 | 0.8054 | 69 | 0.6395 | 0.9016 | 0.7483 | 61 | 0.8614 | 0.9346 | 0.8966 | 153 | 0.6667 | 0.8125 | 0.7324 | 32 | 0.7429 | 0.8387 | 0.7879 | 31 | 0.7635 | 0.8960 | 0.8245 | 0.9594 |
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+ | 0.0584 | 43.0 | 4558 | 0.1409 | 0.7531 | 0.8841 | 0.8133 | 69 | 0.625 | 0.8197 | 0.7092 | 61 | 0.8503 | 0.9281 | 0.8875 | 153 | 0.6341 | 0.8125 | 0.7123 | 32 | 0.7429 | 0.8387 | 0.7879 | 31 | 0.7550 | 0.8815 | 0.8133 | 0.9591 |
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+ | 0.0571 | 44.0 | 4664 | 0.1371 | 0.7195 | 0.8551 | 0.7815 | 69 | 0.6386 | 0.8689 | 0.7361 | 61 | 0.8537 | 0.9150 | 0.8833 | 153 | 0.7429 | 0.8125 | 0.7761 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7683 | 0.8815 | 0.8210 | 0.9621 |
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+ | 0.0568 | 45.0 | 4770 | 0.1323 | 0.7692 | 0.8696 | 0.8163 | 69 | 0.6625 | 0.8689 | 0.7518 | 61 | 0.8528 | 0.9085 | 0.8797 | 153 | 0.7222 | 0.8125 | 0.7647 | 32 | 0.8710 | 0.8710 | 0.8710 | 31 | 0.7861 | 0.8815 | 0.8311 | 0.9633 |
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+ | 0.0518 | 46.0 | 4876 | 0.1402 | 0.7024 | 0.8551 | 0.7712 | 69 | 0.6386 | 0.8689 | 0.7361 | 61 | 0.8650 | 0.9216 | 0.8924 | 153 | 0.6579 | 0.7812 | 0.7143 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7606 | 0.8815 | 0.8166 | 0.9606 |
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+ | 0.0529 | 47.0 | 4982 | 0.1366 | 0.7375 | 0.8551 | 0.7919 | 69 | 0.6310 | 0.8689 | 0.7310 | 61 | 0.8537 | 0.9150 | 0.8833 | 153 | 0.6757 | 0.7812 | 0.7246 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7638 | 0.8786 | 0.8172 | 0.9621 |
120
+ | 0.0516 | 48.0 | 5088 | 0.1416 | 0.7531 | 0.8841 | 0.8133 | 69 | 0.6447 | 0.8033 | 0.7153 | 61 | 0.8485 | 0.9150 | 0.8805 | 153 | 0.65 | 0.8125 | 0.7222 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7652 | 0.8757 | 0.8167 | 0.9599 |
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+ | 0.0524 | 49.0 | 5194 | 0.1416 | 0.7531 | 0.8841 | 0.8133 | 69 | 0.6456 | 0.8361 | 0.7286 | 61 | 0.8606 | 0.9281 | 0.8931 | 153 | 0.6842 | 0.8125 | 0.7429 | 32 | 0.8438 | 0.8710 | 0.8571 | 31 | 0.7772 | 0.8873 | 0.8286 | 0.9616 |
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+ | 0.0494 | 50.0 | 5300 | 0.1381 | 0.7595 | 0.8696 | 0.8108 | 69 | 0.6711 | 0.8361 | 0.7445 | 61 | 0.8545 | 0.9216 | 0.8868 | 153 | 0.6667 | 0.8125 | 0.7324 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7761 | 0.8815 | 0.8254 | 0.9621 |
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+ | 0.0478 | 51.0 | 5406 | 0.1435 | 0.7722 | 0.8841 | 0.8243 | 69 | 0.6207 | 0.8852 | 0.7297 | 61 | 0.8545 | 0.9216 | 0.8868 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.775 | 0.8960 | 0.8311 | 0.9623 |
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+ | 0.0485 | 52.0 | 5512 | 0.1402 | 0.7922 | 0.8841 | 0.8356 | 69 | 0.6322 | 0.9016 | 0.7432 | 61 | 0.8545 | 0.9216 | 0.8868 | 153 | 0.7297 | 0.8438 | 0.7826 | 32 | 0.8438 | 0.8710 | 0.8571 | 31 | 0.7814 | 0.8988 | 0.8360 | 0.9626 |
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+ | 0.0475 | 53.0 | 5618 | 0.1382 | 0.7922 | 0.8841 | 0.8356 | 69 | 0.6235 | 0.8689 | 0.7260 | 61 | 0.8494 | 0.9216 | 0.8840 | 153 | 0.7429 | 0.8125 | 0.7761 | 32 | 0.8438 | 0.8710 | 0.8571 | 31 | 0.7797 | 0.8902 | 0.8313 | 0.9631 |
126
+ | 0.0481 | 54.0 | 5724 | 0.1421 | 0.7375 | 0.8551 | 0.7919 | 69 | 0.6456 | 0.8361 | 0.7286 | 61 | 0.8545 | 0.9216 | 0.8868 | 153 | 0.675 | 0.8438 | 0.75 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7683 | 0.8815 | 0.8210 | 0.9606 |
127
+ | 0.0474 | 55.0 | 5830 | 0.1441 | 0.7821 | 0.8841 | 0.8299 | 69 | 0.6322 | 0.9016 | 0.7432 | 61 | 0.8512 | 0.9346 | 0.8910 | 153 | 0.7105 | 0.8438 | 0.7714 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7748 | 0.9046 | 0.8347 | 0.9619 |
128
+ | 0.0456 | 56.0 | 5936 | 0.1413 | 0.7108 | 0.8551 | 0.7763 | 69 | 0.6447 | 0.8033 | 0.7153 | 61 | 0.8606 | 0.9281 | 0.8931 | 153 | 0.675 | 0.8438 | 0.75 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7657 | 0.8786 | 0.8183 | 0.9614 |
129
+ | 0.0451 | 57.0 | 6042 | 0.1452 | 0.7284 | 0.8551 | 0.7867 | 69 | 0.6582 | 0.8525 | 0.7429 | 61 | 0.8563 | 0.9346 | 0.8938 | 153 | 0.6923 | 0.8438 | 0.7606 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7719 | 0.8902 | 0.8268 | 0.9626 |
130
+ | 0.0437 | 58.0 | 6148 | 0.1460 | 0.7108 | 0.8551 | 0.7763 | 69 | 0.6265 | 0.8525 | 0.7222 | 61 | 0.8659 | 0.9281 | 0.8959 | 153 | 0.6923 | 0.8438 | 0.7606 | 32 | 0.8438 | 0.8710 | 0.8571 | 31 | 0.7656 | 0.8873 | 0.8220 | 0.9616 |
131
+ | 0.0424 | 59.0 | 6254 | 0.1501 | 0.7284 | 0.8551 | 0.7867 | 69 | 0.6341 | 0.8525 | 0.7273 | 61 | 0.8503 | 0.9281 | 0.8875 | 153 | 0.6923 | 0.8438 | 0.7606 | 32 | 0.7714 | 0.8710 | 0.8182 | 31 | 0.7599 | 0.8873 | 0.8187 | 0.9604 |
132
+ | 0.0423 | 60.0 | 6360 | 0.1540 | 0.7407 | 0.8696 | 0.8000 | 69 | 0.6163 | 0.8689 | 0.7211 | 61 | 0.8452 | 0.9281 | 0.8847 | 153 | 0.6667 | 0.8125 | 0.7324 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7549 | 0.8902 | 0.8170 | 0.9604 |
133
+ | 0.041 | 61.0 | 6466 | 0.1479 | 0.75 | 0.8696 | 0.8054 | 69 | 0.6235 | 0.8689 | 0.7260 | 61 | 0.8494 | 0.9216 | 0.8840 | 153 | 0.6842 | 0.8125 | 0.7429 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7637 | 0.8873 | 0.8209 | 0.9611 |
134
+ | 0.0405 | 62.0 | 6572 | 0.1487 | 0.7108 | 0.8551 | 0.7763 | 69 | 0.6329 | 0.8197 | 0.7143 | 61 | 0.8452 | 0.9281 | 0.8847 | 153 | 0.7222 | 0.8125 | 0.7647 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.76 | 0.8786 | 0.8150 | 0.9606 |
135
+ | 0.0394 | 63.0 | 6678 | 0.1480 | 0.7284 | 0.8551 | 0.7867 | 69 | 0.6235 | 0.8689 | 0.7260 | 61 | 0.8554 | 0.9281 | 0.8903 | 153 | 0.7429 | 0.8125 | 0.7761 | 32 | 0.8438 | 0.8710 | 0.8571 | 31 | 0.7694 | 0.8873 | 0.8242 | 0.9626 |
136
+ | 0.0384 | 64.0 | 6784 | 0.1568 | 0.7284 | 0.8551 | 0.7867 | 69 | 0.6279 | 0.8852 | 0.7347 | 61 | 0.8563 | 0.9346 | 0.8938 | 153 | 0.7105 | 0.8438 | 0.7714 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7635 | 0.8960 | 0.8245 | 0.9609 |
137
+ | 0.0397 | 65.0 | 6890 | 0.1487 | 0.7625 | 0.8841 | 0.8188 | 69 | 0.6098 | 0.8197 | 0.6993 | 61 | 0.8393 | 0.9216 | 0.8785 | 153 | 0.6923 | 0.8438 | 0.7606 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7593 | 0.8844 | 0.8171 | 0.9604 |
138
+ | 0.0388 | 66.0 | 6996 | 0.1625 | 0.7024 | 0.8551 | 0.7712 | 69 | 0.6047 | 0.8525 | 0.7075 | 61 | 0.8471 | 0.9412 | 0.8916 | 153 | 0.7105 | 0.8438 | 0.7714 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.75 | 0.8931 | 0.8153 | 0.9601 |
139
+ | 0.0402 | 67.0 | 7102 | 0.1620 | 0.7349 | 0.8841 | 0.8026 | 69 | 0.6118 | 0.8525 | 0.7123 | 61 | 0.8512 | 0.9346 | 0.8910 | 153 | 0.675 | 0.8438 | 0.75 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7561 | 0.8960 | 0.8201 | 0.9596 |
140
+ | 0.0397 | 68.0 | 7208 | 0.1531 | 0.7108 | 0.8551 | 0.7763 | 69 | 0.6296 | 0.8361 | 0.7183 | 61 | 0.8494 | 0.9216 | 0.8840 | 153 | 0.7105 | 0.8438 | 0.7714 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7587 | 0.8815 | 0.8155 | 0.9604 |
141
+ | 0.0383 | 69.0 | 7314 | 0.1517 | 0.7595 | 0.8696 | 0.8108 | 69 | 0.6071 | 0.8361 | 0.7034 | 61 | 0.8452 | 0.9281 | 0.8847 | 153 | 0.7297 | 0.8438 | 0.7826 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7656 | 0.8873 | 0.8220 | 0.9619 |
142
+ | 0.0375 | 70.0 | 7420 | 0.1548 | 0.7284 | 0.8551 | 0.7867 | 69 | 0.6190 | 0.8525 | 0.7172 | 61 | 0.8503 | 0.9281 | 0.8875 | 153 | 0.7297 | 0.8438 | 0.7826 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7637 | 0.8873 | 0.8209 | 0.9614 |
143
+ | 0.0368 | 71.0 | 7526 | 0.1553 | 0.7108 | 0.8551 | 0.7763 | 69 | 0.5952 | 0.8197 | 0.6897 | 61 | 0.8494 | 0.9216 | 0.8840 | 153 | 0.7297 | 0.8438 | 0.7826 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7543 | 0.8786 | 0.8117 | 0.9599 |
144
+ | 0.0375 | 72.0 | 7632 | 0.1548 | 0.7108 | 0.8551 | 0.7763 | 69 | 0.6329 | 0.8197 | 0.7143 | 61 | 0.8443 | 0.9216 | 0.8812 | 153 | 0.7297 | 0.8438 | 0.7826 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.76 | 0.8786 | 0.8150 | 0.9609 |
145
+ | 0.0364 | 73.0 | 7738 | 0.1511 | 0.7160 | 0.8406 | 0.7733 | 69 | 0.6125 | 0.8033 | 0.6950 | 61 | 0.8443 | 0.9216 | 0.8812 | 153 | 0.7222 | 0.8125 | 0.7647 | 32 | 0.8438 | 0.8710 | 0.8571 | 31 | 0.7601 | 0.8699 | 0.8113 | 0.9616 |
146
+ | 0.0356 | 74.0 | 7844 | 0.1570 | 0.7108 | 0.8551 | 0.7763 | 69 | 0.6024 | 0.8197 | 0.6944 | 61 | 0.8443 | 0.9216 | 0.8812 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7562 | 0.8786 | 0.8128 | 0.9606 |
147
+ | 0.0345 | 75.0 | 7950 | 0.1601 | 0.75 | 0.8696 | 0.8054 | 69 | 0.6220 | 0.8361 | 0.7133 | 61 | 0.8503 | 0.9281 | 0.8875 | 153 | 0.6842 | 0.8125 | 0.7429 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7631 | 0.8844 | 0.8193 | 0.9609 |
148
+ | 0.0358 | 76.0 | 8056 | 0.1599 | 0.7024 | 0.8551 | 0.7712 | 69 | 0.6190 | 0.8525 | 0.7172 | 61 | 0.8443 | 0.9216 | 0.8812 | 153 | 0.75 | 0.8438 | 0.7941 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7574 | 0.8844 | 0.816 | 0.9614 |
149
+ | 0.0359 | 77.0 | 8162 | 0.1563 | 0.7531 | 0.8841 | 0.8133 | 69 | 0.625 | 0.8197 | 0.7092 | 61 | 0.8494 | 0.9216 | 0.8840 | 153 | 0.7297 | 0.8438 | 0.7826 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7708 | 0.8844 | 0.8237 | 0.9616 |
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+ | 0.034 | 79.0 | 8374 | 0.1584 | 0.7284 | 0.8551 | 0.7867 | 69 | 0.6296 | 0.8361 | 0.7183 | 61 | 0.8494 | 0.9216 | 0.8840 | 153 | 0.7105 | 0.8438 | 0.7714 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7644 | 0.8815 | 0.8188 | 0.9614 |
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+ | 0.0317 | 91.0 | 9646 | 0.1604 | 0.7195 | 0.8551 | 0.7815 | 69 | 0.6203 | 0.8033 | 0.7 | 61 | 0.8494 | 0.9216 | 0.8840 | 153 | 0.7105 | 0.8438 | 0.7714 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7613 | 0.8757 | 0.8145 | 0.9614 |
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+ | 0.0317 | 93.0 | 9858 | 0.1619 | 0.7284 | 0.8551 | 0.7867 | 69 | 0.6329 | 0.8197 | 0.7143 | 61 | 0.8494 | 0.9216 | 0.8840 | 153 | 0.7105 | 0.8438 | 0.7714 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7657 | 0.8786 | 0.8183 | 0.9611 |
166
+ | 0.0322 | 94.0 | 9964 | 0.1659 | 0.7284 | 0.8551 | 0.7867 | 69 | 0.6341 | 0.8525 | 0.7273 | 61 | 0.8494 | 0.9216 | 0.8840 | 153 | 0.7105 | 0.8438 | 0.7714 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.765 | 0.8844 | 0.8204 | 0.9609 |
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+ | 0.0305 | 95.0 | 10070 | 0.1641 | 0.7195 | 0.8551 | 0.7815 | 69 | 0.6098 | 0.8197 | 0.6993 | 61 | 0.8494 | 0.9216 | 0.8840 | 153 | 0.7105 | 0.8438 | 0.7714 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7562 | 0.8786 | 0.8128 | 0.9604 |
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170
+ | 0.0288 | 98.0 | 10388 | 0.1642 | 0.7195 | 0.8551 | 0.7815 | 69 | 0.6098 | 0.8197 | 0.6993 | 61 | 0.8494 | 0.9216 | 0.8840 | 153 | 0.7105 | 0.8438 | 0.7714 | 32 | 0.8182 | 0.8710 | 0.8438 | 31 | 0.7581 | 0.8786 | 0.8139 | 0.9606 |
171
+ | 0.0307 | 99.0 | 10494 | 0.1646 | 0.7195 | 0.8551 | 0.7815 | 69 | 0.6049 | 0.8033 | 0.6901 | 61 | 0.8494 | 0.9216 | 0.8840 | 153 | 0.7105 | 0.8438 | 0.7714 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7556 | 0.8757 | 0.8112 | 0.9604 |
172
+ | 0.032 | 100.0 | 10600 | 0.1642 | 0.7195 | 0.8551 | 0.7815 | 69 | 0.6098 | 0.8197 | 0.6993 | 61 | 0.8494 | 0.9216 | 0.8840 | 153 | 0.7105 | 0.8438 | 0.7714 | 32 | 0.7941 | 0.8710 | 0.8308 | 31 | 0.7562 | 0.8786 | 0.8128 | 0.9604 |
173
+
174
+
175
+ ### Framework versions
176
+
177
+ - Transformers 4.39.3
178
+ - Pytorch 2.3.0+cu121
179
+ - Datasets 2.19.1
180
+ - Tokenizers 0.15.2
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