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nerui-seq_bn-4

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  1. README.md +172 -0
  2. adapter-ner/adapter_config.json +42 -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
  6. runs/Jun09_14-38-57_a358b85c7679/events.out.tfevents.1717943946.a358b85c7679.63095.0 +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-seq_bn-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-seq_bn-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: 0.0476
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+ - Location Precision: 0.8899
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+ - Location Recall: 0.9417
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+ - Location F1: 0.9151
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+ - Location Number: 103
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+ - Organization Precision: 0.9006
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+ - Organization Recall: 0.9006
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+ - Organization F1: 0.9006
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+ - Organization Number: 171
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+ - Person Precision: 0.9697
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+ - Person Recall: 0.9771
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+ - Person F1: 0.9734
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+ - Person Number: 131
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+ - Overall Precision: 0.9199
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+ - Overall Recall: 0.9358
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+ - Overall F1: 0.9278
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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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+ | 0.8449 | 1.0 | 96 | 0.5421 | 0.0 | 0.0 | 0.0 | 103 | 0.0 | 0.0 | 0.0 | 171 | 0.0 | 0.0 | 0.0 | 131 | 0.0 | 0.0 | 0.0 | 0.8379 |
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+ | 0.4618 | 2.0 | 192 | 0.3207 | 0.4444 | 0.1553 | 0.2302 | 103 | 0.3839 | 0.5029 | 0.4354 | 171 | 0.3259 | 0.5573 | 0.4113 | 131 | 0.3616 | 0.4321 | 0.3937 | 0.8995 |
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+ | 0.3133 | 3.0 | 288 | 0.2317 | 0.4598 | 0.3883 | 0.4211 | 103 | 0.5872 | 0.7485 | 0.6581 | 171 | 0.5882 | 0.7634 | 0.6645 | 131 | 0.5642 | 0.6617 | 0.6091 | 0.9362 |
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+ | 0.219 | 4.0 | 384 | 0.1434 | 0.5833 | 0.6117 | 0.5972 | 103 | 0.7208 | 0.8304 | 0.7717 | 171 | 0.8435 | 0.9466 | 0.8921 | 131 | 0.7279 | 0.8123 | 0.7678 | 0.9624 |
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+ | 0.1518 | 5.0 | 480 | 0.1125 | 0.7368 | 0.8155 | 0.7742 | 103 | 0.7841 | 0.8070 | 0.7954 | 171 | 0.9044 | 0.9389 | 0.9213 | 131 | 0.8099 | 0.8519 | 0.8303 | 0.9699 |
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+ | 0.1247 | 6.0 | 576 | 0.0863 | 0.7739 | 0.8641 | 0.8165 | 103 | 0.8372 | 0.8421 | 0.8397 | 171 | 0.9333 | 0.9618 | 0.9474 | 131 | 0.8507 | 0.8864 | 0.8682 | 0.9743 |
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+ | 0.1071 | 7.0 | 672 | 0.0788 | 0.8230 | 0.9029 | 0.8611 | 103 | 0.8409 | 0.8655 | 0.8530 | 171 | 0.9137 | 0.9695 | 0.9407 | 131 | 0.8598 | 0.9086 | 0.8836 | 0.9760 |
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+ | 0.0973 | 8.0 | 768 | 0.0731 | 0.8034 | 0.9126 | 0.8545 | 103 | 0.8512 | 0.8363 | 0.8437 | 171 | 0.9478 | 0.9695 | 0.9585 | 131 | 0.8687 | 0.8988 | 0.8835 | 0.9782 |
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+ | 0.0908 | 9.0 | 864 | 0.0648 | 0.8727 | 0.9320 | 0.9014 | 103 | 0.8743 | 0.8947 | 0.8844 | 171 | 0.9338 | 0.9695 | 0.9513 | 131 | 0.8931 | 0.9284 | 0.9104 | 0.9804 |
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+ | 0.0806 | 10.0 | 960 | 0.0618 | 0.8991 | 0.9515 | 0.9245 | 103 | 0.8793 | 0.8947 | 0.8870 | 171 | 0.9478 | 0.9695 | 0.9585 | 131 | 0.9065 | 0.9333 | 0.9197 | 0.9815 |
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+ | 0.0744 | 11.0 | 1056 | 0.0592 | 0.9048 | 0.9223 | 0.9135 | 103 | 0.8652 | 0.9006 | 0.8825 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9038 | 0.9284 | 0.9160 | 0.9820 |
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+ | 0.0725 | 12.0 | 1152 | 0.0561 | 0.9159 | 0.9515 | 0.9333 | 103 | 0.8715 | 0.9123 | 0.8914 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9093 | 0.9407 | 0.9248 | 0.9823 |
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+ | 0.0689 | 13.0 | 1248 | 0.0552 | 0.9143 | 0.9320 | 0.9231 | 103 | 0.9048 | 0.8889 | 0.8968 | 171 | 0.9478 | 0.9695 | 0.9585 | 131 | 0.9214 | 0.9259 | 0.9236 | 0.9829 |
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+ | 0.0648 | 14.0 | 1344 | 0.0568 | 0.8727 | 0.9320 | 0.9014 | 103 | 0.9051 | 0.8363 | 0.8693 | 171 | 0.9478 | 0.9695 | 0.9585 | 131 | 0.9104 | 0.9037 | 0.9071 | 0.9812 |
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+ | 0.0606 | 15.0 | 1440 | 0.0477 | 0.9320 | 0.9320 | 0.9320 | 103 | 0.9053 | 0.8947 | 0.9000 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9284 | 0.9284 | 0.9284 | 0.9851 |
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+ | 0.0559 | 16.0 | 1536 | 0.0462 | 0.8981 | 0.9417 | 0.9194 | 103 | 0.8988 | 0.8830 | 0.8909 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9169 | 0.9259 | 0.9214 | 0.9840 |
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+ | 0.056 | 17.0 | 1632 | 0.0483 | 0.9495 | 0.9126 | 0.9307 | 103 | 0.8927 | 0.9240 | 0.9080 | 171 | 0.9478 | 0.9695 | 0.9585 | 131 | 0.9244 | 0.9358 | 0.9301 | 0.9845 |
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+ | 0.0518 | 18.0 | 1728 | 0.0455 | 0.8981 | 0.9417 | 0.9194 | 103 | 0.9112 | 0.9006 | 0.9059 | 171 | 0.9621 | 0.9695 | 0.9658 | 131 | 0.9242 | 0.9333 | 0.9287 | 0.9848 |
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+ | 0.049 | 19.0 | 1824 | 0.0502 | 0.9057 | 0.9320 | 0.9187 | 103 | 0.9212 | 0.8889 | 0.9048 | 171 | 0.9478 | 0.9695 | 0.9585 | 131 | 0.9259 | 0.9259 | 0.9259 | 0.9834 |
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+ | 0.0495 | 20.0 | 1920 | 0.0447 | 0.9151 | 0.9417 | 0.9282 | 103 | 0.88 | 0.9006 | 0.8902 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9130 | 0.9333 | 0.9231 | 0.9851 |
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+ | 0.0444 | 21.0 | 2016 | 0.0477 | 0.8991 | 0.9515 | 0.9245 | 103 | 0.9096 | 0.8830 | 0.8961 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9216 | 0.9284 | 0.9250 | 0.9843 |
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+ | 0.0432 | 22.0 | 2112 | 0.0419 | 0.9151 | 0.9417 | 0.9282 | 103 | 0.8807 | 0.9064 | 0.8934 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9179 | 0.9383 | 0.9280 | 0.9856 |
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+ | 0.0419 | 23.0 | 2208 | 0.0434 | 0.8991 | 0.9515 | 0.9245 | 103 | 0.8941 | 0.8889 | 0.8915 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9150 | 0.9309 | 0.9229 | 0.9854 |
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+ | 0.0401 | 24.0 | 2304 | 0.0464 | 0.875 | 0.9515 | 0.9116 | 103 | 0.8830 | 0.8830 | 0.8830 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9038 | 0.9284 | 0.9160 | 0.9845 |
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+ | 0.0388 | 25.0 | 2400 | 0.0469 | 0.8909 | 0.9515 | 0.9202 | 103 | 0.9091 | 0.8772 | 0.8929 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9191 | 0.9259 | 0.9225 | 0.9837 |
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+ | 0.0364 | 26.0 | 2496 | 0.0399 | 0.9238 | 0.9417 | 0.9327 | 103 | 0.9012 | 0.9064 | 0.9038 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9291 | 0.9383 | 0.9337 | 0.9867 |
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+ | 0.036 | 27.0 | 2592 | 0.0420 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9006 | 0.9006 | 0.9006 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9244 | 0.9358 | 0.9301 | 0.9859 |
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+ | 0.0349 | 28.0 | 2688 | 0.0393 | 0.9151 | 0.9417 | 0.9282 | 103 | 0.8920 | 0.9181 | 0.9049 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9181 | 0.9407 | 0.9293 | 0.9862 |
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+ | 0.0328 | 29.0 | 2784 | 0.0462 | 0.9151 | 0.9417 | 0.9282 | 103 | 0.9107 | 0.8947 | 0.9027 | 171 | 0.9549 | 0.9695 | 0.9621 | 131 | 0.9263 | 0.9309 | 0.9286 | 0.9843 |
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+ | 0.0334 | 30.0 | 2880 | 0.0413 | 0.9238 | 0.9417 | 0.9327 | 103 | 0.8983 | 0.9298 | 0.9138 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9275 | 0.9481 | 0.9377 | 0.9862 |
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+ | 0.0334 | 31.0 | 2976 | 0.0401 | 0.8889 | 0.9320 | 0.9100 | 103 | 0.8960 | 0.9064 | 0.9012 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9177 | 0.9358 | 0.9267 | 0.9854 |
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+ | 0.0311 | 32.0 | 3072 | 0.0398 | 0.8919 | 0.9612 | 0.9252 | 103 | 0.9112 | 0.9006 | 0.9059 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9248 | 0.9407 | 0.9327 | 0.9862 |
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+ | 0.0281 | 33.0 | 3168 | 0.0389 | 0.8909 | 0.9515 | 0.9202 | 103 | 0.9059 | 0.9006 | 0.9032 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9223 | 0.9383 | 0.9302 | 0.9865 |
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+ | 0.0326 | 34.0 | 3264 | 0.0407 | 0.9065 | 0.9417 | 0.9238 | 103 | 0.8908 | 0.9064 | 0.8986 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9201 | 0.9383 | 0.9291 | 0.9862 |
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+ | 0.026 | 35.0 | 3360 | 0.0437 | 0.8909 | 0.9515 | 0.9202 | 103 | 0.9102 | 0.8889 | 0.8994 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9242 | 0.9333 | 0.9287 | 0.9854 |
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+ | 0.0278 | 36.0 | 3456 | 0.0416 | 0.8919 | 0.9612 | 0.9252 | 103 | 0.9222 | 0.9006 | 0.9112 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9293 | 0.9407 | 0.9350 | 0.9862 |
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+ | 0.0263 | 37.0 | 3552 | 0.0406 | 0.9307 | 0.9126 | 0.9216 | 103 | 0.8883 | 0.9298 | 0.9086 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9248 | 0.9407 | 0.9327 | 0.9862 |
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+ | 0.0241 | 38.0 | 3648 | 0.0433 | 0.8761 | 0.9612 | 0.9167 | 103 | 0.9112 | 0.9006 | 0.9059 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9203 | 0.9407 | 0.9304 | 0.9862 |
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+ | 0.0231 | 39.0 | 3744 | 0.0409 | 0.8909 | 0.9515 | 0.9202 | 103 | 0.9172 | 0.9064 | 0.9118 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9270 | 0.9407 | 0.9338 | 0.9856 |
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+ | 0.0229 | 40.0 | 3840 | 0.0437 | 0.9245 | 0.9515 | 0.9378 | 103 | 0.9128 | 0.9181 | 0.9155 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9341 | 0.9457 | 0.9399 | 0.9862 |
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+ | 0.0221 | 41.0 | 3936 | 0.0396 | 0.9143 | 0.9320 | 0.9231 | 103 | 0.9017 | 0.9123 | 0.9070 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9268 | 0.9383 | 0.9325 | 0.9859 |
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+ | 0.0229 | 42.0 | 4032 | 0.0428 | 0.8991 | 0.9515 | 0.9245 | 103 | 0.9157 | 0.8889 | 0.9021 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9287 | 0.9333 | 0.9310 | 0.9854 |
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+ | 0.0225 | 43.0 | 4128 | 0.0408 | 0.8909 | 0.9515 | 0.9202 | 103 | 0.9172 | 0.9064 | 0.9118 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9270 | 0.9407 | 0.9338 | 0.9862 |
108
+ | 0.0217 | 44.0 | 4224 | 0.0491 | 0.8991 | 0.9515 | 0.9245 | 103 | 0.9317 | 0.8772 | 0.9036 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9353 | 0.9284 | 0.9318 | 0.9851 |
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+ | 0.0209 | 45.0 | 4320 | 0.0460 | 0.8761 | 0.9612 | 0.9167 | 103 | 0.9157 | 0.8889 | 0.9021 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9221 | 0.9358 | 0.9289 | 0.9854 |
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+ | 0.0196 | 46.0 | 4416 | 0.0433 | 0.8839 | 0.9612 | 0.9209 | 103 | 0.9123 | 0.9123 | 0.9123 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9229 | 0.9457 | 0.9341 | 0.9865 |
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+ | 0.0201 | 47.0 | 4512 | 0.0405 | 0.8962 | 0.9223 | 0.9091 | 103 | 0.8857 | 0.9064 | 0.8960 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9153 | 0.9333 | 0.9242 | 0.9862 |
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+ | 0.0187 | 48.0 | 4608 | 0.0459 | 0.8919 | 0.9612 | 0.9252 | 103 | 0.9222 | 0.9006 | 0.9112 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9293 | 0.9407 | 0.9350 | 0.9865 |
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+ | 0.0172 | 49.0 | 4704 | 0.0445 | 0.8889 | 0.9320 | 0.9100 | 103 | 0.9012 | 0.9064 | 0.9038 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9199 | 0.9358 | 0.9278 | 0.9854 |
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+ | 0.0171 | 50.0 | 4800 | 0.0462 | 0.8889 | 0.9320 | 0.9100 | 103 | 0.9064 | 0.9064 | 0.9064 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9221 | 0.9358 | 0.9289 | 0.9856 |
115
+ | 0.018 | 51.0 | 4896 | 0.0490 | 0.9065 | 0.9417 | 0.9238 | 103 | 0.9337 | 0.9064 | 0.9199 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9383 | 0.9383 | 0.9383 | 0.9865 |
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+ | 0.0165 | 52.0 | 4992 | 0.0449 | 0.8889 | 0.9320 | 0.9100 | 103 | 0.9064 | 0.9064 | 0.9064 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9221 | 0.9358 | 0.9289 | 0.9854 |
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+ | 0.0156 | 53.0 | 5088 | 0.0445 | 0.8879 | 0.9223 | 0.9048 | 103 | 0.8960 | 0.9064 | 0.9012 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9175 | 0.9333 | 0.9253 | 0.9851 |
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+ | 0.0159 | 54.0 | 5184 | 0.0444 | 0.9135 | 0.9223 | 0.9179 | 103 | 0.8977 | 0.9240 | 0.9107 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9248 | 0.9407 | 0.9327 | 0.9854 |
119
+ | 0.0171 | 55.0 | 5280 | 0.0511 | 0.8919 | 0.9612 | 0.9252 | 103 | 0.9207 | 0.8830 | 0.9015 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9287 | 0.9333 | 0.9310 | 0.9856 |
120
+ | 0.0174 | 56.0 | 5376 | 0.0471 | 0.9048 | 0.9223 | 0.9135 | 103 | 0.8864 | 0.9123 | 0.8991 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9177 | 0.9358 | 0.9267 | 0.9848 |
121
+ | 0.0157 | 57.0 | 5472 | 0.0476 | 0.8909 | 0.9515 | 0.9202 | 103 | 0.9017 | 0.9123 | 0.9070 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9205 | 0.9432 | 0.9317 | 0.9856 |
122
+ | 0.0162 | 58.0 | 5568 | 0.0458 | 0.8899 | 0.9417 | 0.9151 | 103 | 0.9064 | 0.9064 | 0.9064 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9223 | 0.9383 | 0.9302 | 0.9856 |
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+ | 0.0141 | 59.0 | 5664 | 0.0440 | 0.9038 | 0.9126 | 0.9082 | 103 | 0.8971 | 0.9181 | 0.9075 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9221 | 0.9358 | 0.9289 | 0.9856 |
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+ | 0.014 | 60.0 | 5760 | 0.0467 | 0.8899 | 0.9417 | 0.9151 | 103 | 0.9167 | 0.9006 | 0.9086 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9267 | 0.9358 | 0.9312 | 0.9856 |
125
+ | 0.014 | 61.0 | 5856 | 0.0497 | 0.8972 | 0.9320 | 0.9143 | 103 | 0.8895 | 0.8947 | 0.8921 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9173 | 0.9309 | 0.9240 | 0.9845 |
126
+ | 0.0139 | 62.0 | 5952 | 0.0457 | 0.8981 | 0.9417 | 0.9194 | 103 | 0.9012 | 0.9064 | 0.9038 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9223 | 0.9383 | 0.9302 | 0.9859 |
127
+ | 0.0142 | 63.0 | 6048 | 0.0467 | 0.8818 | 0.9417 | 0.9108 | 103 | 0.9222 | 0.9006 | 0.9112 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9267 | 0.9358 | 0.9312 | 0.9865 |
128
+ | 0.0137 | 64.0 | 6144 | 0.0475 | 0.8818 | 0.9417 | 0.9108 | 103 | 0.9162 | 0.8947 | 0.9053 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9242 | 0.9333 | 0.9287 | 0.9854 |
129
+ | 0.0129 | 65.0 | 6240 | 0.0478 | 0.8899 | 0.9417 | 0.9151 | 103 | 0.9222 | 0.9006 | 0.9112 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9289 | 0.9358 | 0.9323 | 0.9859 |
130
+ | 0.0119 | 66.0 | 6336 | 0.0467 | 0.8899 | 0.9417 | 0.9151 | 103 | 0.9006 | 0.9006 | 0.9006 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9199 | 0.9358 | 0.9278 | 0.9856 |
131
+ | 0.0132 | 67.0 | 6432 | 0.0486 | 0.8899 | 0.9417 | 0.9151 | 103 | 0.8895 | 0.8947 | 0.8921 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9153 | 0.9333 | 0.9242 | 0.9845 |
132
+ | 0.0137 | 68.0 | 6528 | 0.0449 | 0.8818 | 0.9417 | 0.9108 | 103 | 0.9064 | 0.9064 | 0.9064 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9201 | 0.9383 | 0.9291 | 0.9854 |
133
+ | 0.0121 | 69.0 | 6624 | 0.0459 | 0.8981 | 0.9417 | 0.9194 | 103 | 0.8851 | 0.9006 | 0.8928 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9155 | 0.9358 | 0.9255 | 0.9848 |
134
+ | 0.012 | 70.0 | 6720 | 0.0467 | 0.8899 | 0.9417 | 0.9151 | 103 | 0.9107 | 0.8947 | 0.9027 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9242 | 0.9333 | 0.9287 | 0.9859 |
135
+ | 0.0116 | 71.0 | 6816 | 0.0449 | 0.9057 | 0.9320 | 0.9187 | 103 | 0.9023 | 0.9181 | 0.9101 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9248 | 0.9407 | 0.9327 | 0.9862 |
136
+ | 0.012 | 72.0 | 6912 | 0.0516 | 0.8909 | 0.9515 | 0.9202 | 103 | 0.9152 | 0.8830 | 0.8988 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9263 | 0.9309 | 0.9286 | 0.9851 |
137
+ | 0.0116 | 73.0 | 7008 | 0.0487 | 0.8899 | 0.9417 | 0.9151 | 103 | 0.8953 | 0.9006 | 0.8980 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9177 | 0.9358 | 0.9267 | 0.9845 |
138
+ | 0.0118 | 74.0 | 7104 | 0.0488 | 0.8981 | 0.9417 | 0.9194 | 103 | 0.9012 | 0.9064 | 0.9038 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9223 | 0.9383 | 0.9302 | 0.9848 |
139
+ | 0.0126 | 75.0 | 7200 | 0.0507 | 0.8818 | 0.9417 | 0.9108 | 103 | 0.9217 | 0.8947 | 0.9080 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9265 | 0.9333 | 0.9299 | 0.9848 |
140
+ | 0.0111 | 76.0 | 7296 | 0.0514 | 0.8899 | 0.9417 | 0.9151 | 103 | 0.9112 | 0.9006 | 0.9059 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9244 | 0.9358 | 0.9301 | 0.9851 |
141
+ | 0.0107 | 77.0 | 7392 | 0.0541 | 0.8991 | 0.9515 | 0.9245 | 103 | 0.8922 | 0.8713 | 0.8817 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9191 | 0.9259 | 0.9225 | 0.9851 |
142
+ | 0.0109 | 78.0 | 7488 | 0.0491 | 0.8899 | 0.9417 | 0.9151 | 103 | 0.8953 | 0.9006 | 0.8980 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9177 | 0.9358 | 0.9267 | 0.9845 |
143
+ | 0.0107 | 79.0 | 7584 | 0.0529 | 0.8818 | 0.9417 | 0.9108 | 103 | 0.9048 | 0.8889 | 0.8968 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9195 | 0.9309 | 0.9252 | 0.9845 |
144
+ | 0.0099 | 80.0 | 7680 | 0.0501 | 0.8899 | 0.9417 | 0.9151 | 103 | 0.8895 | 0.8947 | 0.8921 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9153 | 0.9333 | 0.9242 | 0.9843 |
145
+ | 0.0109 | 81.0 | 7776 | 0.0484 | 0.8899 | 0.9417 | 0.9151 | 103 | 0.9006 | 0.9006 | 0.9006 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9199 | 0.9358 | 0.9278 | 0.9851 |
146
+ | 0.011 | 82.0 | 7872 | 0.0503 | 0.8899 | 0.9417 | 0.9151 | 103 | 0.9064 | 0.9064 | 0.9064 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9223 | 0.9383 | 0.9302 | 0.9851 |
147
+ | 0.0119 | 83.0 | 7968 | 0.0488 | 0.8972 | 0.9320 | 0.9143 | 103 | 0.9112 | 0.9006 | 0.9059 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9265 | 0.9333 | 0.9299 | 0.9859 |
148
+ | 0.0102 | 84.0 | 8064 | 0.0498 | 0.8818 | 0.9417 | 0.9108 | 103 | 0.9226 | 0.9064 | 0.9145 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9268 | 0.9383 | 0.9325 | 0.9865 |
149
+ | 0.012 | 85.0 | 8160 | 0.0485 | 0.8991 | 0.9515 | 0.9245 | 103 | 0.9172 | 0.9064 | 0.9118 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9293 | 0.9407 | 0.9350 | 0.9865 |
150
+ | 0.0105 | 86.0 | 8256 | 0.0489 | 0.8829 | 0.9515 | 0.9159 | 103 | 0.9157 | 0.8889 | 0.9021 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9242 | 0.9333 | 0.9287 | 0.9854 |
151
+ | 0.0113 | 87.0 | 8352 | 0.0481 | 0.8981 | 0.9417 | 0.9194 | 103 | 0.9226 | 0.9064 | 0.9145 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9314 | 0.9383 | 0.9348 | 0.9865 |
152
+ | 0.0106 | 88.0 | 8448 | 0.0477 | 0.8909 | 0.9515 | 0.9202 | 103 | 0.9172 | 0.9064 | 0.9118 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9270 | 0.9407 | 0.9338 | 0.9865 |
153
+ | 0.0108 | 89.0 | 8544 | 0.0473 | 0.8909 | 0.9515 | 0.9202 | 103 | 0.9118 | 0.9064 | 0.9091 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9248 | 0.9407 | 0.9327 | 0.9859 |
154
+ | 0.0107 | 90.0 | 8640 | 0.0482 | 0.8981 | 0.9417 | 0.9194 | 103 | 0.9118 | 0.9064 | 0.9091 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9268 | 0.9383 | 0.9325 | 0.9859 |
155
+ | 0.0097 | 91.0 | 8736 | 0.0480 | 0.8991 | 0.9515 | 0.9245 | 103 | 0.9006 | 0.9006 | 0.9006 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9223 | 0.9383 | 0.9302 | 0.9865 |
156
+ | 0.0104 | 92.0 | 8832 | 0.0477 | 0.8899 | 0.9417 | 0.9151 | 103 | 0.9176 | 0.9123 | 0.9150 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9270 | 0.9407 | 0.9338 | 0.9870 |
157
+ | 0.0101 | 93.0 | 8928 | 0.0479 | 0.8899 | 0.9417 | 0.9151 | 103 | 0.9176 | 0.9123 | 0.9150 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9270 | 0.9407 | 0.9338 | 0.9867 |
158
+ | 0.0099 | 94.0 | 9024 | 0.0488 | 0.8818 | 0.9417 | 0.9108 | 103 | 0.9107 | 0.8947 | 0.9027 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9220 | 0.9333 | 0.9276 | 0.9856 |
159
+ | 0.0098 | 95.0 | 9120 | 0.0473 | 0.8899 | 0.9417 | 0.9151 | 103 | 0.9118 | 0.9064 | 0.9091 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9246 | 0.9383 | 0.9314 | 0.9867 |
160
+ | 0.0085 | 96.0 | 9216 | 0.0475 | 0.8899 | 0.9417 | 0.9151 | 103 | 0.9118 | 0.9064 | 0.9091 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9246 | 0.9383 | 0.9314 | 0.9867 |
161
+ | 0.0096 | 97.0 | 9312 | 0.0476 | 0.8899 | 0.9417 | 0.9151 | 103 | 0.9006 | 0.9006 | 0.9006 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9199 | 0.9358 | 0.9278 | 0.9862 |
162
+ | 0.0097 | 98.0 | 9408 | 0.0477 | 0.8899 | 0.9417 | 0.9151 | 103 | 0.9006 | 0.9006 | 0.9006 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9199 | 0.9358 | 0.9278 | 0.9859 |
163
+ | 0.0087 | 99.0 | 9504 | 0.0478 | 0.8899 | 0.9417 | 0.9151 | 103 | 0.9006 | 0.9006 | 0.9006 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9199 | 0.9358 | 0.9278 | 0.9859 |
164
+ | 0.0085 | 100.0 | 9600 | 0.0476 | 0.8899 | 0.9417 | 0.9151 | 103 | 0.9006 | 0.9006 | 0.9006 | 171 | 0.9697 | 0.9771 | 0.9734 | 131 | 0.9199 | 0.9358 | 0.9278 | 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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