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nerui-pt-pl10-0

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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_15-10-50_indolem-petl-vm/events.out.tfevents.1716909057.indolem-petl-vm.79952.0 +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-pl10-0
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # nerui-pt-pl10-0
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+
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+ This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0530
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+ - Location Precision: 0.8447
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+ - Location Recall: 0.9255
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+ - Location F1: 0.8832
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+ - Location Number: 94
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+ - Organization Precision: 0.9198
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+ - Organization Recall: 0.8922
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+ - Organization F1: 0.9058
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+ - Organization Number: 167
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+ - Person Precision: 0.9926
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+ - Person Recall: 0.9781
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+ - Person F1: 0.9853
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+ - Person Number: 137
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+ - Overall Precision: 0.925
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+ - Overall Recall: 0.9296
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+ - Overall F1: 0.9273
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+ - Overall Accuracy: 0.9859
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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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+ | 0.8344 | 1.0 | 96 | 0.3987 | 0.375 | 0.0319 | 0.0588 | 94 | 0.2115 | 0.2874 | 0.2437 | 167 | 0.2775 | 0.3869 | 0.3232 | 137 | 0.2441 | 0.2613 | 0.2524 | 0.8663 |
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+ | 0.359 | 2.0 | 192 | 0.2302 | 0.39 | 0.4149 | 0.4021 | 94 | 0.5145 | 0.7425 | 0.6078 | 167 | 0.8037 | 0.9562 | 0.8733 | 137 | 0.5833 | 0.7387 | 0.6519 | 0.9373 |
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+ | 0.1857 | 3.0 | 288 | 0.1083 | 0.7579 | 0.7660 | 0.7619 | 94 | 0.6919 | 0.8204 | 0.7507 | 167 | 0.9574 | 0.9854 | 0.9712 | 137 | 0.7926 | 0.8643 | 0.8269 | 0.9635 |
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+ | 0.1288 | 4.0 | 384 | 0.0742 | 0.8155 | 0.8936 | 0.8528 | 94 | 0.7921 | 0.8443 | 0.8174 | 167 | 0.9708 | 0.9708 | 0.9708 | 137 | 0.8565 | 0.8995 | 0.8775 | 0.9740 |
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+ | 0.108 | 5.0 | 480 | 0.0655 | 0.81 | 0.8617 | 0.8351 | 94 | 0.8631 | 0.8683 | 0.8657 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.8914 | 0.9070 | 0.8991 | 0.9765 |
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+ | 0.0921 | 6.0 | 576 | 0.0532 | 0.8208 | 0.9255 | 0.8700 | 94 | 0.8521 | 0.8623 | 0.8571 | 167 | 0.9926 | 0.9854 | 0.9890 | 137 | 0.8905 | 0.9196 | 0.9048 | 0.9812 |
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+ | 0.0824 | 7.0 | 672 | 0.0591 | 0.7857 | 0.9362 | 0.8544 | 94 | 0.8774 | 0.8144 | 0.8447 | 167 | 0.9926 | 0.9854 | 0.9890 | 137 | 0.8908 | 0.9020 | 0.8964 | 0.9771 |
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+ | 0.0751 | 8.0 | 768 | 0.0534 | 0.7692 | 0.9574 | 0.8531 | 94 | 0.8598 | 0.8443 | 0.8520 | 167 | 0.9926 | 0.9854 | 0.9890 | 137 | 0.8777 | 0.9196 | 0.8982 | 0.9804 |
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+ | 0.0697 | 9.0 | 864 | 0.0415 | 0.86 | 0.9149 | 0.8866 | 94 | 0.8844 | 0.9162 | 0.9 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9167 | 0.9397 | 0.9280 | 0.9865 |
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+ | 0.0657 | 10.0 | 960 | 0.0403 | 0.8958 | 0.9149 | 0.9053 | 94 | 0.8708 | 0.9281 | 0.8986 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9193 | 0.9447 | 0.9318 | 0.9867 |
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+ | 0.0639 | 11.0 | 1056 | 0.0430 | 0.8812 | 0.9468 | 0.9128 | 94 | 0.8976 | 0.8922 | 0.8949 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9279 | 0.9372 | 0.9325 | 0.9856 |
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+ | 0.0571 | 12.0 | 1152 | 0.0544 | 0.8349 | 0.9681 | 0.8966 | 94 | 0.9308 | 0.8862 | 0.9080 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9280 | 0.9397 | 0.9338 | 0.9840 |
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+ | 0.0546 | 13.0 | 1248 | 0.0453 | 0.8558 | 0.9468 | 0.8990 | 94 | 0.8929 | 0.8982 | 0.8955 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9189 | 0.9397 | 0.9292 | 0.9859 |
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+ | 0.0494 | 14.0 | 1344 | 0.0392 | 0.9175 | 0.9468 | 0.9319 | 94 | 0.8715 | 0.9341 | 0.9017 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9221 | 0.9523 | 0.9370 | 0.9881 |
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+ | 0.0491 | 15.0 | 1440 | 0.0368 | 0.8788 | 0.9255 | 0.9016 | 94 | 0.8935 | 0.9042 | 0.8988 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9231 | 0.9347 | 0.9288 | 0.9876 |
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+ | 0.0486 | 16.0 | 1536 | 0.0391 | 0.8969 | 0.9255 | 0.9110 | 94 | 0.9157 | 0.9102 | 0.9129 | 167 | 0.9854 | 0.9854 | 0.9854 | 137 | 0.935 | 0.9397 | 0.9373 | 0.9878 |
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+ | 0.0467 | 17.0 | 1632 | 0.0396 | 0.8738 | 0.9574 | 0.9137 | 94 | 0.9059 | 0.9222 | 0.9139 | 167 | 0.9853 | 0.9781 | 0.9817 | 137 | 0.9242 | 0.9497 | 0.9368 | 0.9870 |
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+ | 0.0401 | 18.0 | 1728 | 0.0443 | 0.9082 | 0.9468 | 0.9271 | 94 | 0.9030 | 0.8922 | 0.8976 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9372 | 0.9372 | 0.9372 | 0.9867 |
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+ | 0.0414 | 19.0 | 1824 | 0.0476 | 0.8288 | 0.9787 | 0.8976 | 94 | 0.9363 | 0.8802 | 0.9074 | 167 | 0.9781 | 0.9781 | 0.9781 | 137 | 0.9210 | 0.9372 | 0.9290 | 0.9851 |
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+ | 0.0404 | 20.0 | 1920 | 0.0459 | 0.8411 | 0.9574 | 0.8955 | 94 | 0.9217 | 0.9162 | 0.9189 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9265 | 0.9497 | 0.9380 | 0.9873 |
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+ | 0.0411 | 21.0 | 2016 | 0.0429 | 0.875 | 0.9681 | 0.9192 | 94 | 0.9394 | 0.9281 | 0.9337 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9431 | 0.9573 | 0.9501 | 0.9887 |
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+ | 0.0354 | 22.0 | 2112 | 0.0412 | 0.9082 | 0.9468 | 0.9271 | 94 | 0.8786 | 0.9102 | 0.8941 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9261 | 0.9447 | 0.9353 | 0.9876 |
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+ | 0.0343 | 23.0 | 2208 | 0.0573 | 0.8476 | 0.9468 | 0.8945 | 94 | 0.9026 | 0.8323 | 0.8660 | 167 | 0.9640 | 0.9781 | 0.9710 | 137 | 0.9095 | 0.9095 | 0.9095 | 0.9804 |
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+ | 0.0337 | 24.0 | 2304 | 0.0420 | 0.8911 | 0.9574 | 0.9231 | 94 | 0.9107 | 0.9162 | 0.9134 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9356 | 0.9497 | 0.9426 | 0.9887 |
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+ | 0.0321 | 25.0 | 2400 | 0.0474 | 0.8824 | 0.9574 | 0.9184 | 94 | 0.9112 | 0.9222 | 0.9167 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9335 | 0.9523 | 0.9428 | 0.9873 |
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+ | 0.0334 | 26.0 | 2496 | 0.0418 | 0.9158 | 0.9255 | 0.9206 | 94 | 0.9 | 0.9162 | 0.9080 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9375 | 0.9422 | 0.9398 | 0.9887 |
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+ | 0.0319 | 27.0 | 2592 | 0.0404 | 0.9255 | 0.9255 | 0.9255 | 94 | 0.9337 | 0.9281 | 0.9309 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9544 | 0.9472 | 0.9508 | 0.9898 |
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+ | 0.0342 | 28.0 | 2688 | 0.0398 | 0.8922 | 0.9681 | 0.9286 | 94 | 0.95 | 0.9102 | 0.9297 | 167 | 0.9853 | 0.9781 | 0.9817 | 137 | 0.9472 | 0.9472 | 0.9472 | 0.9895 |
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+ | 0.0322 | 29.0 | 2784 | 0.0495 | 0.8365 | 0.9255 | 0.8788 | 94 | 0.9024 | 0.8862 | 0.8943 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9181 | 0.9296 | 0.9238 | 0.9851 |
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+ | 0.0285 | 30.0 | 2880 | 0.0434 | 0.8990 | 0.9468 | 0.9223 | 94 | 0.9053 | 0.9162 | 0.9107 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9330 | 0.9447 | 0.9388 | 0.9878 |
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+ | 0.0281 | 31.0 | 2976 | 0.0395 | 0.8990 | 0.9468 | 0.9223 | 94 | 0.9107 | 0.9162 | 0.9134 | 167 | 0.9853 | 0.9781 | 0.9817 | 137 | 0.9330 | 0.9447 | 0.9388 | 0.9884 |
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+ | 0.0261 | 32.0 | 3072 | 0.0441 | 0.8571 | 0.9574 | 0.9045 | 94 | 0.9264 | 0.9042 | 0.9152 | 167 | 0.9853 | 0.9781 | 0.9817 | 137 | 0.9282 | 0.9422 | 0.9352 | 0.9876 |
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+ | 0.0267 | 33.0 | 3168 | 0.0412 | 0.8969 | 0.9255 | 0.9110 | 94 | 0.9264 | 0.9042 | 0.9152 | 167 | 0.9853 | 0.9781 | 0.9817 | 137 | 0.9394 | 0.9347 | 0.9370 | 0.9878 |
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+ | 0.0254 | 34.0 | 3264 | 0.0474 | 0.9255 | 0.9255 | 0.9255 | 94 | 0.8663 | 0.8922 | 0.8791 | 167 | 0.9853 | 0.9781 | 0.9817 | 137 | 0.9204 | 0.9296 | 0.925 | 0.9862 |
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+ | 0.0234 | 35.0 | 3360 | 0.0434 | 0.8990 | 0.9468 | 0.9223 | 94 | 0.9152 | 0.9042 | 0.9096 | 167 | 0.9779 | 0.9708 | 0.9744 | 137 | 0.9325 | 0.9372 | 0.9348 | 0.9881 |
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+ | 0.0248 | 36.0 | 3456 | 0.0449 | 0.8889 | 0.9362 | 0.9119 | 94 | 0.9075 | 0.9401 | 0.9235 | 167 | 1.0 | 0.9781 | 0.9889 | 137 | 0.9335 | 0.9523 | 0.9428 | 0.9892 |
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+ | 0.0227 | 37.0 | 3552 | 0.0458 | 0.8889 | 0.9362 | 0.9119 | 94 | 0.9212 | 0.9102 | 0.9157 | 167 | 0.9852 | 0.9708 | 0.9779 | 137 | 0.9348 | 0.9372 | 0.9360 | 0.9876 |
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+ | 0.0232 | 38.0 | 3648 | 0.0487 | 0.8812 | 0.9468 | 0.9128 | 94 | 0.9030 | 0.8922 | 0.8976 | 167 | 0.9853 | 0.9781 | 0.9817 | 137 | 0.9254 | 0.9347 | 0.93 | 0.9862 |
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+ | 0.0217 | 39.0 | 3744 | 0.0493 | 0.8627 | 0.9362 | 0.8980 | 94 | 0.9264 | 0.9042 | 0.9152 | 167 | 0.9926 | 0.9854 | 0.9890 | 137 | 0.9327 | 0.9397 | 0.9362 | 0.9870 |
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+ | 0.0228 | 40.0 | 3840 | 0.0473 | 0.8725 | 0.9468 | 0.9082 | 94 | 0.925 | 0.8862 | 0.9052 | 167 | 0.9852 | 0.9708 | 0.9779 | 137 | 0.9320 | 0.9296 | 0.9308 | 0.9867 |
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+ | 0.0216 | 41.0 | 3936 | 0.0429 | 0.8725 | 0.9468 | 0.9082 | 94 | 0.9212 | 0.9102 | 0.9157 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9328 | 0.9422 | 0.9375 | 0.9881 |
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+ | 0.0195 | 42.0 | 4032 | 0.0459 | 0.8738 | 0.9574 | 0.9137 | 94 | 0.9363 | 0.8802 | 0.9074 | 167 | 0.9926 | 0.9854 | 0.9890 | 137 | 0.9394 | 0.9347 | 0.9370 | 0.9884 |
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+ | 0.0217 | 43.0 | 4128 | 0.0496 | 0.88 | 0.9362 | 0.9072 | 94 | 0.9125 | 0.8743 | 0.8930 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9342 | 0.9271 | 0.9306 | 0.9859 |
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+ | 0.0182 | 44.0 | 4224 | 0.0518 | 0.8654 | 0.9574 | 0.9091 | 94 | 0.9313 | 0.8922 | 0.9113 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9373 | 0.9397 | 0.9385 | 0.9873 |
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+ | 0.0202 | 45.0 | 4320 | 0.0446 | 0.9062 | 0.9255 | 0.9158 | 94 | 0.9255 | 0.8922 | 0.9085 | 167 | 0.9926 | 0.9854 | 0.9890 | 137 | 0.9440 | 0.9322 | 0.9381 | 0.9884 |
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+ | 0.0192 | 46.0 | 4416 | 0.0466 | 0.8476 | 0.9468 | 0.8945 | 94 | 0.9255 | 0.8922 | 0.9085 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9302 | 0.9372 | 0.9337 | 0.9865 |
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+ | 0.0185 | 47.0 | 4512 | 0.0456 | 0.8812 | 0.9468 | 0.9128 | 94 | 0.9325 | 0.9102 | 0.9212 | 167 | 0.9778 | 0.9635 | 0.9706 | 137 | 0.9348 | 0.9372 | 0.9360 | 0.9878 |
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+ | 0.0191 | 48.0 | 4608 | 0.0458 | 0.88 | 0.9362 | 0.9072 | 94 | 0.9321 | 0.9042 | 0.9179 | 167 | 0.9853 | 0.9781 | 0.9817 | 137 | 0.9372 | 0.9372 | 0.9372 | 0.9878 |
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+ | 0.0177 | 49.0 | 4704 | 0.0496 | 0.8812 | 0.9468 | 0.9128 | 94 | 0.9264 | 0.9042 | 0.9152 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9398 | 0.9422 | 0.9410 | 0.9870 |
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+ | 0.0176 | 50.0 | 4800 | 0.0473 | 0.8558 | 0.9468 | 0.8990 | 94 | 0.9112 | 0.9222 | 0.9167 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9265 | 0.9497 | 0.9380 | 0.9870 |
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+ | 0.0167 | 51.0 | 4896 | 0.0466 | 0.8738 | 0.9574 | 0.9137 | 94 | 0.8922 | 0.8922 | 0.8922 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9235 | 0.9397 | 0.9315 | 0.9873 |
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+ | 0.0162 | 52.0 | 4992 | 0.0431 | 0.8969 | 0.9255 | 0.9110 | 94 | 0.9202 | 0.8982 | 0.9091 | 167 | 0.9779 | 0.9708 | 0.9744 | 137 | 0.9343 | 0.9296 | 0.9320 | 0.9878 |
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+ | 0.0154 | 53.0 | 5088 | 0.0494 | 0.8462 | 0.9362 | 0.8889 | 94 | 0.9102 | 0.9102 | 0.9102 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9236 | 0.9422 | 0.9328 | 0.9867 |
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+ | 0.0161 | 54.0 | 5184 | 0.0438 | 0.8713 | 0.9362 | 0.9026 | 94 | 0.9102 | 0.9102 | 0.9102 | 167 | 1.0 | 0.9781 | 0.9889 | 137 | 0.9303 | 0.9397 | 0.9350 | 0.9881 |
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+ | 0.014 | 55.0 | 5280 | 0.0494 | 0.8878 | 0.9255 | 0.9062 | 94 | 0.9259 | 0.8982 | 0.9119 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9418 | 0.9347 | 0.9382 | 0.9878 |
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+ | 0.0149 | 56.0 | 5376 | 0.0460 | 0.8812 | 0.9468 | 0.9128 | 94 | 0.9379 | 0.9042 | 0.9207 | 167 | 1.0 | 0.9781 | 0.9889 | 137 | 0.9444 | 0.9397 | 0.9421 | 0.9887 |
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+ | 0.0126 | 57.0 | 5472 | 0.0443 | 0.8911 | 0.9574 | 0.9231 | 94 | 0.9141 | 0.8922 | 0.9030 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9348 | 0.9372 | 0.9360 | 0.9873 |
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+ | 0.0148 | 58.0 | 5568 | 0.0479 | 0.8980 | 0.9362 | 0.9167 | 94 | 0.9273 | 0.9162 | 0.9217 | 167 | 1.0 | 0.9781 | 0.9889 | 137 | 0.9446 | 0.9422 | 0.9434 | 0.9870 |
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+ | 0.0136 | 59.0 | 5664 | 0.0509 | 0.8641 | 0.9468 | 0.9036 | 94 | 0.9102 | 0.9102 | 0.9102 | 167 | 1.0 | 0.9781 | 0.9889 | 137 | 0.9282 | 0.9422 | 0.9352 | 0.9865 |
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+ | 0.0141 | 60.0 | 5760 | 0.0581 | 0.8476 | 0.9468 | 0.8945 | 94 | 0.9329 | 0.9162 | 0.9245 | 167 | 1.0 | 0.9781 | 0.9889 | 137 | 0.9330 | 0.9447 | 0.9388 | 0.9856 |
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+ | 0.0135 | 61.0 | 5856 | 0.0474 | 0.8725 | 0.9468 | 0.9082 | 94 | 0.9217 | 0.9162 | 0.9189 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9330 | 0.9447 | 0.9388 | 0.9887 |
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+ | 0.0135 | 62.0 | 5952 | 0.0525 | 0.8812 | 0.9468 | 0.9128 | 94 | 0.9259 | 0.8982 | 0.9119 | 167 | 0.9853 | 0.9781 | 0.9817 | 137 | 0.9348 | 0.9372 | 0.9360 | 0.9865 |
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+ | 0.0125 | 63.0 | 6048 | 0.0510 | 0.8878 | 0.9255 | 0.9062 | 94 | 0.9202 | 0.8982 | 0.9091 | 167 | 0.9779 | 0.9708 | 0.9744 | 137 | 0.9320 | 0.9296 | 0.9308 | 0.9856 |
128
+ | 0.0142 | 64.0 | 6144 | 0.0533 | 0.8812 | 0.9468 | 0.9128 | 94 | 0.9198 | 0.8922 | 0.9058 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9347 | 0.9347 | 0.9347 | 0.9862 |
129
+ | 0.0137 | 65.0 | 6240 | 0.0534 | 0.8431 | 0.9149 | 0.8776 | 94 | 0.9198 | 0.8922 | 0.9058 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9248 | 0.9271 | 0.9260 | 0.9856 |
130
+ | 0.0132 | 66.0 | 6336 | 0.0523 | 0.87 | 0.9255 | 0.8969 | 94 | 0.9548 | 0.8862 | 0.9193 | 167 | 0.9853 | 0.9781 | 0.9817 | 137 | 0.9437 | 0.9271 | 0.9354 | 0.9865 |
131
+ | 0.0136 | 67.0 | 6432 | 0.0542 | 0.8447 | 0.9255 | 0.8832 | 94 | 0.9141 | 0.8922 | 0.9030 | 167 | 0.9852 | 0.9708 | 0.9779 | 137 | 0.9202 | 0.9271 | 0.9237 | 0.9851 |
132
+ | 0.0113 | 68.0 | 6528 | 0.0497 | 0.8776 | 0.9149 | 0.8958 | 94 | 0.9042 | 0.9042 | 0.9042 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9275 | 0.9322 | 0.9298 | 0.9859 |
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+ | 0.0121 | 69.0 | 6624 | 0.0473 | 0.8641 | 0.9468 | 0.9036 | 94 | 0.9367 | 0.8862 | 0.9108 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9369 | 0.9322 | 0.9345 | 0.9884 |
134
+ | 0.0124 | 70.0 | 6720 | 0.0438 | 0.8788 | 0.9255 | 0.9016 | 94 | 0.9321 | 0.9042 | 0.9179 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9419 | 0.9372 | 0.9395 | 0.9887 |
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+ | 0.0132 | 71.0 | 6816 | 0.0438 | 0.87 | 0.9255 | 0.8969 | 94 | 0.9162 | 0.9162 | 0.9162 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9303 | 0.9397 | 0.9350 | 0.9881 |
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+ | 0.0127 | 72.0 | 6912 | 0.0513 | 0.8627 | 0.9362 | 0.8980 | 94 | 0.9277 | 0.9222 | 0.9249 | 167 | 1.0 | 0.9781 | 0.9889 | 137 | 0.9353 | 0.9447 | 0.94 | 0.9876 |
137
+ | 0.0107 | 73.0 | 7008 | 0.0499 | 0.8476 | 0.9468 | 0.8945 | 94 | 0.9308 | 0.8862 | 0.9080 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9298 | 0.9322 | 0.9310 | 0.9876 |
138
+ | 0.0114 | 74.0 | 7104 | 0.0467 | 0.8889 | 0.9362 | 0.9119 | 94 | 0.9264 | 0.9042 | 0.9152 | 167 | 0.9779 | 0.9708 | 0.9744 | 137 | 0.9347 | 0.9347 | 0.9347 | 0.9890 |
139
+ | 0.0103 | 75.0 | 7200 | 0.0486 | 0.8654 | 0.9574 | 0.9091 | 94 | 0.9259 | 0.8982 | 0.9119 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9352 | 0.9422 | 0.9387 | 0.9887 |
140
+ | 0.0101 | 76.0 | 7296 | 0.0512 | 0.8544 | 0.9362 | 0.8934 | 94 | 0.925 | 0.8862 | 0.9052 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9322 | 0.9322 | 0.9322 | 0.9873 |
141
+ | 0.0101 | 77.0 | 7392 | 0.0530 | 0.8447 | 0.9255 | 0.8832 | 94 | 0.9130 | 0.8802 | 0.8963 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9248 | 0.9271 | 0.9260 | 0.9862 |
142
+ | 0.0094 | 78.0 | 7488 | 0.0495 | 0.8878 | 0.9255 | 0.9062 | 94 | 0.9212 | 0.9102 | 0.9157 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9397 | 0.9397 | 0.9397 | 0.9887 |
143
+ | 0.0099 | 79.0 | 7584 | 0.0508 | 0.9158 | 0.9255 | 0.9206 | 94 | 0.9281 | 0.9281 | 0.9281 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.9496 | 0.9472 | 0.9484 | 0.9887 |
144
+ | 0.0097 | 80.0 | 7680 | 0.0553 | 0.8614 | 0.9255 | 0.8923 | 94 | 0.9268 | 0.9102 | 0.9184 | 167 | 1.0 | 0.9854 | 0.9926 | 137 | 0.935 | 0.9397 | 0.9373 | 0.9870 |
145
+ | 0.009 | 81.0 | 7776 | 0.0551 | 0.8447 | 0.9255 | 0.8832 | 94 | 0.9259 | 0.8982 | 0.9119 | 167 | 0.9926 | 0.9854 | 0.9890 | 137 | 0.9277 | 0.9347 | 0.9312 | 0.9865 |
146
+ | 0.0096 | 82.0 | 7872 | 0.0544 | 0.8878 | 0.9255 | 0.9062 | 94 | 0.9157 | 0.9102 | 0.9129 | 167 | 0.9926 | 0.9854 | 0.9890 | 137 | 0.935 | 0.9397 | 0.9373 | 0.9873 |
147
+ | 0.0103 | 83.0 | 7968 | 0.0530 | 0.8713 | 0.9362 | 0.9026 | 94 | 0.9268 | 0.9102 | 0.9184 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.935 | 0.9397 | 0.9373 | 0.9873 |
148
+ | 0.0094 | 84.0 | 8064 | 0.0547 | 0.8544 | 0.9362 | 0.8934 | 94 | 0.9259 | 0.8982 | 0.9119 | 167 | 1.0 | 0.9781 | 0.9889 | 137 | 0.9323 | 0.9347 | 0.9335 | 0.9862 |
149
+ | 0.0087 | 85.0 | 8160 | 0.0532 | 0.8713 | 0.9362 | 0.9026 | 94 | 0.9202 | 0.8982 | 0.9091 | 167 | 1.0 | 0.9781 | 0.9889 | 137 | 0.9347 | 0.9347 | 0.9347 | 0.9870 |
150
+ | 0.0094 | 86.0 | 8256 | 0.0555 | 0.8627 | 0.9362 | 0.8980 | 94 | 0.9255 | 0.8922 | 0.9085 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9322 | 0.9322 | 0.9322 | 0.9865 |
151
+ | 0.0092 | 87.0 | 8352 | 0.0544 | 0.8333 | 0.9574 | 0.8911 | 94 | 0.9317 | 0.8982 | 0.9146 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9257 | 0.9397 | 0.9327 | 0.9870 |
152
+ | 0.0098 | 88.0 | 8448 | 0.0556 | 0.8529 | 0.9255 | 0.8878 | 94 | 0.9308 | 0.8862 | 0.9080 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9318 | 0.9271 | 0.9295 | 0.9859 |
153
+ | 0.008 | 89.0 | 8544 | 0.0557 | 0.8447 | 0.9255 | 0.8832 | 94 | 0.9317 | 0.8982 | 0.9146 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9298 | 0.9322 | 0.9310 | 0.9862 |
154
+ | 0.0087 | 90.0 | 8640 | 0.0531 | 0.8544 | 0.9362 | 0.8934 | 94 | 0.9317 | 0.8982 | 0.9146 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9323 | 0.9347 | 0.9335 | 0.9873 |
155
+ | 0.0094 | 91.0 | 8736 | 0.0544 | 0.8529 | 0.9255 | 0.8878 | 94 | 0.9193 | 0.8862 | 0.9024 | 167 | 0.9853 | 0.9781 | 0.9817 | 137 | 0.9248 | 0.9271 | 0.9260 | 0.9862 |
156
+ | 0.0083 | 92.0 | 8832 | 0.0591 | 0.8529 | 0.9255 | 0.8878 | 94 | 0.9375 | 0.8982 | 0.9174 | 167 | 1.0 | 0.9781 | 0.9889 | 137 | 0.9369 | 0.9322 | 0.9345 | 0.9859 |
157
+ | 0.0081 | 93.0 | 8928 | 0.0565 | 0.8447 | 0.9255 | 0.8832 | 94 | 0.9264 | 0.9042 | 0.9152 | 167 | 1.0 | 0.9781 | 0.9889 | 137 | 0.93 | 0.9347 | 0.9323 | 0.9862 |
158
+ | 0.0083 | 94.0 | 9024 | 0.0543 | 0.8529 | 0.9255 | 0.8878 | 94 | 0.9255 | 0.8922 | 0.9085 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9296 | 0.9296 | 0.9296 | 0.9865 |
159
+ | 0.0084 | 95.0 | 9120 | 0.0516 | 0.8725 | 0.9468 | 0.9082 | 94 | 0.9207 | 0.9042 | 0.9124 | 167 | 1.0 | 0.9781 | 0.9889 | 137 | 0.935 | 0.9397 | 0.9373 | 0.9873 |
160
+ | 0.0089 | 96.0 | 9216 | 0.0520 | 0.8627 | 0.9362 | 0.8980 | 94 | 0.9141 | 0.8922 | 0.9030 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9275 | 0.9322 | 0.9298 | 0.9867 |
161
+ | 0.0076 | 97.0 | 9312 | 0.0528 | 0.8544 | 0.9362 | 0.8934 | 94 | 0.9141 | 0.8922 | 0.9030 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9252 | 0.9322 | 0.9287 | 0.9865 |
162
+ | 0.0091 | 98.0 | 9408 | 0.0530 | 0.8447 | 0.9255 | 0.8832 | 94 | 0.9141 | 0.8922 | 0.9030 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9227 | 0.9296 | 0.9262 | 0.9862 |
163
+ | 0.0089 | 99.0 | 9504 | 0.0528 | 0.8544 | 0.9362 | 0.8934 | 94 | 0.9198 | 0.8922 | 0.9058 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.9275 | 0.9322 | 0.9298 | 0.9862 |
164
+ | 0.0083 | 100.0 | 9600 | 0.0530 | 0.8447 | 0.9255 | 0.8832 | 94 | 0.9198 | 0.8922 | 0.9058 | 167 | 0.9926 | 0.9781 | 0.9853 | 137 | 0.925 | 0.9296 | 0.9273 | 0.9859 |
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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