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nerui-pt-pl5-4

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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-pl5-4
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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-pl5-4
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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: 0.0497
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+ - Location Precision: 0.9423
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+ - Location Recall: 0.9515
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+ - Location F1: 0.9469
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+ - Location Number: 103
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+ - Organization Precision: 0.9401
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+ - Organization Recall: 0.9181
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+ - Organization F1: 0.9290
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+ - Organization Number: 171
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+ - Person Precision: 0.9695
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+ - Person Recall: 0.9695
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+ - Person F1: 0.9695
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+ - Person Number: 131
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+ - Overall Precision: 0.9502
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+ - Overall Recall: 0.9432
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+ - Overall F1: 0.9467
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+ - Overall Accuracy: 0.9898
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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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+ | 0.8871 | 1.0 | 96 | 0.3854 | 1.0 | 0.0097 | 0.0192 | 103 | 0.2486 | 0.2632 | 0.2557 | 171 | 0.3333 | 0.3282 | 0.3308 | 131 | 0.2862 | 0.2198 | 0.2486 | 0.8672 |
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+ | 0.3506 | 2.0 | 192 | 0.1984 | 0.4098 | 0.4854 | 0.4444 | 103 | 0.6020 | 0.6901 | 0.6431 | 171 | 0.7368 | 0.8550 | 0.7915 | 131 | 0.5957 | 0.6914 | 0.64 | 0.9420 |
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+ | 0.1958 | 3.0 | 288 | 0.1058 | 0.7647 | 0.7573 | 0.7610 | 103 | 0.7513 | 0.8304 | 0.7889 | 171 | 0.9420 | 0.9924 | 0.9665 | 131 | 0.8159 | 0.8642 | 0.8393 | 0.9682 |
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+ | 0.1391 | 4.0 | 384 | 0.0841 | 0.8333 | 0.8252 | 0.8293 | 103 | 0.7772 | 0.8772 | 0.8242 | 171 | 0.9552 | 0.9771 | 0.9660 | 131 | 0.8462 | 0.8963 | 0.8705 | 0.9735 |
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+ | 0.112 | 5.0 | 480 | 0.0736 | 0.8673 | 0.8252 | 0.8458 | 103 | 0.8258 | 0.8596 | 0.8424 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.8799 | 0.8864 | 0.8831 | 0.9768 |
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+ | 0.0955 | 6.0 | 576 | 0.0585 | 0.7686 | 0.9029 | 0.8304 | 103 | 0.8571 | 0.8070 | 0.8313 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.8647 | 0.8840 | 0.8742 | 0.9790 |
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+ | 0.083 | 7.0 | 672 | 0.0581 | 0.9 | 0.8738 | 0.8867 | 103 | 0.8482 | 0.9474 | 0.8950 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.8960 | 0.9358 | 0.9155 | 0.9832 |
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+ | 0.0751 | 8.0 | 768 | 0.0458 | 0.8990 | 0.8641 | 0.8812 | 103 | 0.8413 | 0.9298 | 0.8833 | 171 | 0.9624 | 0.9771 | 0.9697 | 131 | 0.8931 | 0.9284 | 0.9104 | 0.9848 |
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+ | 0.0713 | 9.0 | 864 | 0.0503 | 0.825 | 0.9612 | 0.8879 | 103 | 0.9 | 0.8421 | 0.8701 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9005 | 0.9160 | 0.9082 | 0.9840 |
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+ | 0.0655 | 10.0 | 960 | 0.0430 | 0.9074 | 0.9515 | 0.9289 | 103 | 0.9040 | 0.9357 | 0.9195 | 171 | 0.9627 | 0.9847 | 0.9736 | 131 | 0.9236 | 0.9556 | 0.9393 | 0.9873 |
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+ | 0.063 | 11.0 | 1056 | 0.0381 | 0.94 | 0.9126 | 0.9261 | 103 | 0.8798 | 0.9415 | 0.9096 | 171 | 0.9846 | 0.9771 | 0.9808 | 131 | 0.9274 | 0.9457 | 0.9364 | 0.9867 |
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+ | 0.0577 | 12.0 | 1152 | 0.0397 | 0.9412 | 0.9320 | 0.9366 | 103 | 0.8791 | 0.9357 | 0.9065 | 171 | 0.9624 | 0.9771 | 0.9697 | 131 | 0.9209 | 0.9481 | 0.9343 | 0.9865 |
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+ | 0.0562 | 13.0 | 1248 | 0.0430 | 0.8496 | 0.9320 | 0.8889 | 103 | 0.8876 | 0.8772 | 0.8824 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9034 | 0.9235 | 0.9133 | 0.9843 |
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+ | 0.0518 | 14.0 | 1344 | 0.0473 | 0.8981 | 0.9417 | 0.9194 | 103 | 0.9102 | 0.8889 | 0.8994 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9263 | 0.9309 | 0.9286 | 0.9851 |
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+ | 0.0517 | 15.0 | 1440 | 0.0441 | 0.9314 | 0.9223 | 0.9268 | 103 | 0.8579 | 0.9181 | 0.8870 | 171 | 0.9699 | 0.9847 | 0.9773 | 131 | 0.9115 | 0.9407 | 0.9259 | 0.9854 |
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+ | 0.0505 | 16.0 | 1536 | 0.0406 | 0.8972 | 0.9320 | 0.9143 | 103 | 0.8844 | 0.8947 | 0.8895 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9173 | 0.9309 | 0.9240 | 0.9851 |
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+ | 0.0447 | 17.0 | 1632 | 0.0398 | 0.8899 | 0.9417 | 0.9151 | 103 | 0.9012 | 0.9064 | 0.9038 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9201 | 0.9383 | 0.9291 | 0.9870 |
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+ | 0.0411 | 18.0 | 1728 | 0.0407 | 0.8829 | 0.9515 | 0.9159 | 103 | 0.8953 | 0.9006 | 0.8980 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9179 | 0.9383 | 0.9280 | 0.9854 |
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+ | 0.0413 | 19.0 | 1824 | 0.0379 | 0.9083 | 0.9612 | 0.9340 | 103 | 0.9176 | 0.9123 | 0.9150 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9341 | 0.9457 | 0.9399 | 0.9876 |
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+ | 0.0392 | 20.0 | 1920 | 0.0412 | 0.9009 | 0.9709 | 0.9346 | 103 | 0.9281 | 0.9064 | 0.9172 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9341 | 0.9457 | 0.9399 | 0.9870 |
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+ | 0.0383 | 21.0 | 2016 | 0.0393 | 0.9159 | 0.9515 | 0.9333 | 103 | 0.9186 | 0.9240 | 0.9213 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9341 | 0.9457 | 0.9399 | 0.9873 |
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+ | 0.0381 | 22.0 | 2112 | 0.0379 | 0.9 | 0.9612 | 0.9296 | 103 | 0.9244 | 0.9298 | 0.9271 | 171 | 0.9624 | 0.9771 | 0.9697 | 131 | 0.9301 | 0.9531 | 0.9415 | 0.9881 |
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+ | 0.0368 | 23.0 | 2208 | 0.0417 | 0.9074 | 0.9515 | 0.9289 | 103 | 0.8844 | 0.8947 | 0.8895 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9175 | 0.9333 | 0.9253 | 0.9865 |
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+ | 0.0354 | 24.0 | 2304 | 0.0424 | 0.9159 | 0.9515 | 0.9333 | 103 | 0.9107 | 0.8947 | 0.9027 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9310 | 0.9333 | 0.9322 | 0.9865 |
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+ | 0.0345 | 25.0 | 2400 | 0.0387 | 0.9009 | 0.9709 | 0.9346 | 103 | 0.9102 | 0.8889 | 0.8994 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9267 | 0.9358 | 0.9312 | 0.9865 |
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+ | 0.0332 | 26.0 | 2496 | 0.0399 | 0.9490 | 0.9029 | 0.9254 | 103 | 0.8729 | 0.9240 | 0.8977 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9221 | 0.9358 | 0.9289 | 0.9867 |
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+ | 0.0333 | 27.0 | 2592 | 0.0369 | 0.9143 | 0.9320 | 0.9231 | 103 | 0.9017 | 0.9123 | 0.9070 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9291 | 0.9383 | 0.9337 | 0.9876 |
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+ | 0.0324 | 28.0 | 2688 | 0.0376 | 0.96 | 0.9320 | 0.9458 | 103 | 0.9096 | 0.9415 | 0.9253 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9412 | 0.9481 | 0.9446 | 0.9884 |
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+ | 0.0299 | 29.0 | 2784 | 0.0383 | 0.8919 | 0.9612 | 0.9252 | 103 | 0.9281 | 0.9064 | 0.9172 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9315 | 0.9407 | 0.9361 | 0.9876 |
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+ | 0.0299 | 30.0 | 2880 | 0.0425 | 0.9412 | 0.9320 | 0.9366 | 103 | 0.8870 | 0.9181 | 0.9023 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9246 | 0.9383 | 0.9314 | 0.9867 |
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+ | 0.0276 | 31.0 | 2976 | 0.0386 | 0.9074 | 0.9515 | 0.9289 | 103 | 0.9162 | 0.8947 | 0.9053 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9310 | 0.9333 | 0.9322 | 0.9881 |
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+ | 0.0281 | 32.0 | 3072 | 0.0393 | 0.8850 | 0.9709 | 0.9259 | 103 | 0.9375 | 0.8772 | 0.9063 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9332 | 0.9309 | 0.9320 | 0.9884 |
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+ | 0.0244 | 33.0 | 3168 | 0.0404 | 0.9099 | 0.9806 | 0.9439 | 103 | 0.9560 | 0.8889 | 0.9212 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9476 | 0.9383 | 0.9429 | 0.9895 |
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+ | 0.0266 | 34.0 | 3264 | 0.0357 | 0.9327 | 0.9417 | 0.9372 | 103 | 0.8983 | 0.9298 | 0.9138 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9274 | 0.9457 | 0.9364 | 0.9890 |
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+ | 0.0255 | 35.0 | 3360 | 0.0411 | 0.9167 | 0.9612 | 0.9384 | 103 | 0.9277 | 0.9006 | 0.9139 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9360 | 0.9383 | 0.9371 | 0.9881 |
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+ | 0.0243 | 36.0 | 3456 | 0.0409 | 0.9167 | 0.9612 | 0.9384 | 103 | 0.8988 | 0.8830 | 0.8909 | 171 | 0.9618 | 0.9618 | 0.9618 | 131 | 0.9238 | 0.9284 | 0.9261 | 0.9873 |
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+ | 0.0227 | 37.0 | 3552 | 0.0458 | 0.9327 | 0.9417 | 0.9372 | 103 | 0.8944 | 0.9415 | 0.9174 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9277 | 0.9506 | 0.9390 | 0.9887 |
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+ | 0.0244 | 38.0 | 3648 | 0.0444 | 0.8991 | 0.9515 | 0.9245 | 103 | 0.9024 | 0.8655 | 0.8836 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9210 | 0.9210 | 0.9210 | 0.9862 |
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+ | 0.024 | 39.0 | 3744 | 0.0389 | 0.9320 | 0.9320 | 0.9320 | 103 | 0.8895 | 0.8947 | 0.8921 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9238 | 0.9284 | 0.9261 | 0.9873 |
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+ | 0.0228 | 40.0 | 3840 | 0.0473 | 0.9167 | 0.9612 | 0.9384 | 103 | 0.9030 | 0.8713 | 0.8869 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9259 | 0.9259 | 0.9259 | 0.9865 |
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+ | 0.0226 | 41.0 | 3936 | 0.0484 | 0.9583 | 0.8932 | 0.9246 | 103 | 0.8715 | 0.9123 | 0.8914 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9214 | 0.9259 | 0.9236 | 0.9856 |
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+ | 0.0221 | 42.0 | 4032 | 0.0408 | 0.9320 | 0.9320 | 0.9320 | 103 | 0.9118 | 0.9064 | 0.9091 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9333 | 0.9333 | 0.9333 | 0.9876 |
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+ | 0.0195 | 43.0 | 4128 | 0.0387 | 0.9091 | 0.9709 | 0.9390 | 103 | 0.9042 | 0.8830 | 0.8935 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9242 | 0.9333 | 0.9287 | 0.9876 |
108
+ | 0.0204 | 44.0 | 4224 | 0.0469 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9281 | 0.9064 | 0.9172 | 171 | 0.9618 | 0.9618 | 0.9618 | 131 | 0.9381 | 0.9358 | 0.9370 | 0.9884 |
109
+ | 0.0216 | 45.0 | 4320 | 0.0481 | 0.9107 | 0.9903 | 0.9488 | 103 | 0.9329 | 0.8947 | 0.9134 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9387 | 0.9457 | 0.9422 | 0.9881 |
110
+ | 0.0199 | 46.0 | 4416 | 0.0417 | 0.9174 | 0.9709 | 0.9434 | 103 | 0.9162 | 0.8947 | 0.9053 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9361 | 0.9407 | 0.9384 | 0.9873 |
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+ | 0.021 | 47.0 | 4512 | 0.0408 | 0.9159 | 0.9515 | 0.9333 | 103 | 0.9167 | 0.9006 | 0.9086 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9360 | 0.9383 | 0.9371 | 0.9890 |
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+ | 0.0201 | 48.0 | 4608 | 0.0493 | 0.8919 | 0.9612 | 0.9252 | 103 | 0.9024 | 0.8655 | 0.8836 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9236 | 0.9259 | 0.9248 | 0.9876 |
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+ | 0.0203 | 49.0 | 4704 | 0.0423 | 0.9074 | 0.9515 | 0.9289 | 103 | 0.9273 | 0.8947 | 0.9107 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9381 | 0.9358 | 0.9370 | 0.9878 |
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+ | 0.0197 | 50.0 | 4800 | 0.0435 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9128 | 0.9181 | 0.9155 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9364 | 0.9457 | 0.9410 | 0.9878 |
115
+ | 0.0184 | 51.0 | 4896 | 0.0412 | 0.9091 | 0.9709 | 0.9390 | 103 | 0.9273 | 0.8947 | 0.9107 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9361 | 0.9407 | 0.9384 | 0.9890 |
116
+ | 0.0197 | 52.0 | 4992 | 0.0405 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9162 | 0.8947 | 0.9053 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9358 | 0.9358 | 0.9358 | 0.9887 |
117
+ | 0.0187 | 53.0 | 5088 | 0.0417 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9006 | 0.9006 | 0.9006 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9291 | 0.9383 | 0.9337 | 0.9873 |
118
+ | 0.0175 | 54.0 | 5184 | 0.0433 | 0.9327 | 0.9417 | 0.9372 | 103 | 0.9006 | 0.9006 | 0.9006 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9312 | 0.9358 | 0.9335 | 0.9865 |
119
+ | 0.0195 | 55.0 | 5280 | 0.0476 | 0.9018 | 0.9806 | 0.9395 | 103 | 0.9387 | 0.8947 | 0.9162 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9409 | 0.9432 | 0.9420 | 0.9895 |
120
+ | 0.0176 | 56.0 | 5376 | 0.0457 | 0.9238 | 0.9417 | 0.9327 | 103 | 0.9167 | 0.9006 | 0.9086 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9381 | 0.9358 | 0.9370 | 0.9890 |
121
+ | 0.0175 | 57.0 | 5472 | 0.0422 | 0.9327 | 0.9417 | 0.9372 | 103 | 0.9231 | 0.9123 | 0.9176 | 171 | 0.9552 | 0.9771 | 0.9660 | 131 | 0.9361 | 0.9407 | 0.9384 | 0.9878 |
122
+ | 0.0171 | 58.0 | 5568 | 0.0467 | 0.9159 | 0.9515 | 0.9333 | 103 | 0.9387 | 0.8947 | 0.9162 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9428 | 0.9358 | 0.9393 | 0.9881 |
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+ | 0.0165 | 59.0 | 5664 | 0.0456 | 0.9174 | 0.9709 | 0.9434 | 103 | 0.9390 | 0.9006 | 0.9194 | 171 | 0.9624 | 0.9771 | 0.9697 | 131 | 0.9409 | 0.9432 | 0.9420 | 0.9881 |
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+ | 0.0173 | 60.0 | 5760 | 0.0486 | 0.9091 | 0.9709 | 0.9390 | 103 | 0.9387 | 0.8947 | 0.9162 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9431 | 0.9407 | 0.9419 | 0.9887 |
125
+ | 0.0155 | 61.0 | 5856 | 0.0437 | 0.9327 | 0.9417 | 0.9372 | 103 | 0.9172 | 0.9064 | 0.9118 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9406 | 0.9383 | 0.9394 | 0.9881 |
126
+ | 0.0151 | 62.0 | 5952 | 0.0527 | 0.9083 | 0.9612 | 0.9340 | 103 | 0.9277 | 0.9006 | 0.9139 | 171 | 0.9624 | 0.9771 | 0.9697 | 131 | 0.9338 | 0.9407 | 0.9373 | 0.9878 |
127
+ | 0.0171 | 63.0 | 6048 | 0.0484 | 0.9252 | 0.9612 | 0.9429 | 103 | 0.9390 | 0.9006 | 0.9194 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9478 | 0.9407 | 0.9442 | 0.9895 |
128
+ | 0.0151 | 64.0 | 6144 | 0.0465 | 0.9174 | 0.9709 | 0.9434 | 103 | 0.9444 | 0.8947 | 0.9189 | 171 | 0.9769 | 0.9695 | 0.9732 | 131 | 0.9476 | 0.9383 | 0.9429 | 0.9887 |
129
+ | 0.0146 | 65.0 | 6240 | 0.0482 | 0.9340 | 0.9612 | 0.9474 | 103 | 0.9398 | 0.9123 | 0.9258 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9432 | 0.9432 | 0.9432 | 0.9890 |
130
+ | 0.0141 | 66.0 | 6336 | 0.0474 | 0.9099 | 0.9806 | 0.9439 | 103 | 0.9448 | 0.9006 | 0.9222 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9432 | 0.9432 | 0.9432 | 0.9887 |
131
+ | 0.015 | 67.0 | 6432 | 0.0483 | 0.9266 | 0.9806 | 0.9528 | 103 | 0.9455 | 0.9123 | 0.9286 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9458 | 0.9481 | 0.9470 | 0.9892 |
132
+ | 0.0134 | 68.0 | 6528 | 0.0510 | 0.9252 | 0.9612 | 0.9429 | 103 | 0.9448 | 0.9006 | 0.9222 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9429 | 0.9383 | 0.9406 | 0.9887 |
133
+ | 0.0151 | 69.0 | 6624 | 0.0473 | 0.9327 | 0.9417 | 0.9372 | 103 | 0.9345 | 0.9181 | 0.9263 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9454 | 0.9407 | 0.9431 | 0.9895 |
134
+ | 0.0143 | 70.0 | 6720 | 0.0553 | 0.9327 | 0.9417 | 0.9372 | 103 | 0.9398 | 0.9123 | 0.9258 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9476 | 0.9383 | 0.9429 | 0.9892 |
135
+ | 0.0136 | 71.0 | 6816 | 0.0459 | 0.9231 | 0.9320 | 0.9275 | 103 | 0.9181 | 0.9181 | 0.9181 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9384 | 0.9407 | 0.9396 | 0.9884 |
136
+ | 0.0132 | 72.0 | 6912 | 0.0523 | 0.9417 | 0.9417 | 0.9417 | 103 | 0.9341 | 0.9123 | 0.9231 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9476 | 0.9383 | 0.9429 | 0.9890 |
137
+ | 0.0141 | 73.0 | 7008 | 0.0443 | 0.9340 | 0.9612 | 0.9474 | 103 | 0.9290 | 0.9181 | 0.9235 | 171 | 0.9771 | 0.9771 | 0.9771 | 131 | 0.9458 | 0.9481 | 0.9470 | 0.9884 |
138
+ | 0.0141 | 74.0 | 7104 | 0.0474 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9401 | 0.9181 | 0.9290 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9455 | 0.9432 | 0.9444 | 0.9892 |
139
+ | 0.0127 | 75.0 | 7200 | 0.0530 | 0.9340 | 0.9612 | 0.9474 | 103 | 0.9455 | 0.9123 | 0.9286 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9479 | 0.9432 | 0.9455 | 0.9895 |
140
+ | 0.0133 | 76.0 | 7296 | 0.0487 | 0.9417 | 0.9417 | 0.9417 | 103 | 0.9345 | 0.9181 | 0.9263 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9478 | 0.9407 | 0.9442 | 0.9895 |
141
+ | 0.0128 | 77.0 | 7392 | 0.0526 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9390 | 0.9006 | 0.9194 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9428 | 0.9358 | 0.9393 | 0.9884 |
142
+ | 0.012 | 78.0 | 7488 | 0.0506 | 0.9252 | 0.9612 | 0.9429 | 103 | 0.9448 | 0.9006 | 0.9222 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9453 | 0.9383 | 0.9418 | 0.9887 |
143
+ | 0.0117 | 79.0 | 7584 | 0.0514 | 0.9327 | 0.9417 | 0.9372 | 103 | 0.9394 | 0.9064 | 0.9226 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9475 | 0.9358 | 0.9416 | 0.9884 |
144
+ | 0.0107 | 80.0 | 7680 | 0.0516 | 0.9327 | 0.9417 | 0.9372 | 103 | 0.9390 | 0.9006 | 0.9194 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9426 | 0.9333 | 0.9380 | 0.9881 |
145
+ | 0.0118 | 81.0 | 7776 | 0.0517 | 0.9429 | 0.9612 | 0.9519 | 103 | 0.9455 | 0.9123 | 0.9286 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9479 | 0.9432 | 0.9455 | 0.9892 |
146
+ | 0.0111 | 82.0 | 7872 | 0.0513 | 0.9429 | 0.9612 | 0.9519 | 103 | 0.9512 | 0.9123 | 0.9313 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.955 | 0.9432 | 0.9491 | 0.9895 |
147
+ | 0.0104 | 83.0 | 7968 | 0.0516 | 0.9429 | 0.9612 | 0.9519 | 103 | 0.9512 | 0.9123 | 0.9313 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9526 | 0.9432 | 0.9479 | 0.9892 |
148
+ | 0.0131 | 84.0 | 8064 | 0.0515 | 0.9346 | 0.9709 | 0.9524 | 103 | 0.9568 | 0.9064 | 0.9309 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9502 | 0.9432 | 0.9467 | 0.9890 |
149
+ | 0.0128 | 85.0 | 8160 | 0.0491 | 0.9423 | 0.9515 | 0.9469 | 103 | 0.9458 | 0.9181 | 0.9318 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9479 | 0.9432 | 0.9455 | 0.9890 |
150
+ | 0.0114 | 86.0 | 8256 | 0.0492 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9455 | 0.9123 | 0.9286 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9501 | 0.9407 | 0.9454 | 0.9895 |
151
+ | 0.0104 | 87.0 | 8352 | 0.0484 | 0.9423 | 0.9515 | 0.9469 | 103 | 0.9458 | 0.9181 | 0.9318 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9526 | 0.9432 | 0.9479 | 0.9895 |
152
+ | 0.0117 | 88.0 | 8448 | 0.0503 | 0.9327 | 0.9417 | 0.9372 | 103 | 0.9455 | 0.9123 | 0.9286 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.95 | 0.9383 | 0.9441 | 0.9892 |
153
+ | 0.0115 | 89.0 | 8544 | 0.0506 | 0.9417 | 0.9417 | 0.9417 | 103 | 0.9458 | 0.9181 | 0.9318 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9525 | 0.9407 | 0.9466 | 0.9895 |
154
+ | 0.0102 | 90.0 | 8640 | 0.0493 | 0.9423 | 0.9515 | 0.9469 | 103 | 0.9458 | 0.9181 | 0.9318 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9526 | 0.9432 | 0.9479 | 0.9898 |
155
+ | 0.0108 | 91.0 | 8736 | 0.0493 | 0.9423 | 0.9515 | 0.9469 | 103 | 0.9458 | 0.9181 | 0.9318 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9526 | 0.9432 | 0.9479 | 0.9898 |
156
+ | 0.0106 | 92.0 | 8832 | 0.0501 | 0.9333 | 0.9515 | 0.9423 | 103 | 0.9455 | 0.9123 | 0.9286 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9501 | 0.9407 | 0.9454 | 0.9895 |
157
+ | 0.0117 | 93.0 | 8928 | 0.0492 | 0.9423 | 0.9515 | 0.9469 | 103 | 0.9458 | 0.9181 | 0.9318 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9526 | 0.9432 | 0.9479 | 0.9898 |
158
+ | 0.011 | 94.0 | 9024 | 0.0489 | 0.9423 | 0.9515 | 0.9469 | 103 | 0.9458 | 0.9181 | 0.9318 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9526 | 0.9432 | 0.9479 | 0.9898 |
159
+ | 0.0098 | 95.0 | 9120 | 0.0506 | 0.9423 | 0.9515 | 0.9469 | 103 | 0.9458 | 0.9181 | 0.9318 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9526 | 0.9432 | 0.9479 | 0.9898 |
160
+ | 0.0114 | 96.0 | 9216 | 0.0495 | 0.9423 | 0.9515 | 0.9469 | 103 | 0.9401 | 0.9181 | 0.9290 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9502 | 0.9432 | 0.9467 | 0.9898 |
161
+ | 0.0095 | 97.0 | 9312 | 0.0496 | 0.9423 | 0.9515 | 0.9469 | 103 | 0.9401 | 0.9181 | 0.9290 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9502 | 0.9432 | 0.9467 | 0.9898 |
162
+ | 0.0105 | 98.0 | 9408 | 0.0492 | 0.9423 | 0.9515 | 0.9469 | 103 | 0.9401 | 0.9181 | 0.9290 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9502 | 0.9432 | 0.9467 | 0.9898 |
163
+ | 0.0107 | 99.0 | 9504 | 0.0496 | 0.9423 | 0.9515 | 0.9469 | 103 | 0.9401 | 0.9181 | 0.9290 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9502 | 0.9432 | 0.9467 | 0.9898 |
164
+ | 0.0108 | 100.0 | 9600 | 0.0497 | 0.9423 | 0.9515 | 0.9469 | 103 | 0.9401 | 0.9181 | 0.9290 | 171 | 0.9695 | 0.9695 | 0.9695 | 131 | 0.9502 | 0.9432 | 0.9467 | 0.9898 |
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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