nerui-lora-r8-2
This model is a fine-tuned version of indolem/indobert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0395
- Location Precision: 0.88
- Location Recall: 0.9462
- Location F1: 0.9119
- Location Number: 93
- Organization Precision: 0.9048
- Organization Recall: 0.9157
- Organization F1: 0.9102
- Organization Number: 166
- Person Precision: 0.9718
- Person Recall: 0.9718
- Person F1: 0.9718
- Person Number: 142
- Overall Precision: 0.9220
- Overall Recall: 0.9426
- Overall F1: 0.9322
- Overall Accuracy: 0.9874
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100.0
Training results
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1.1704 | 1.0 | 96 | 0.7085 | 0.0 | 0.0 | 0.0 | 93 | 0.0 | 0.0 | 0.0 | 166 | 0.0 | 0.0 | 0.0 | 142 | 0.0 | 0.0 | 0.0 | 0.8343 |
0.668 | 2.0 | 192 | 0.5723 | 0.0 | 0.0 | 0.0 | 93 | 0.5 | 0.0060 | 0.0119 | 166 | 0.0 | 0.0 | 0.0 | 142 | 0.3333 | 0.0025 | 0.0050 | 0.8348 |
0.5537 | 3.0 | 288 | 0.4494 | 0.0 | 0.0 | 0.0 | 93 | 0.4167 | 0.0602 | 0.1053 | 166 | 0.2353 | 0.0563 | 0.0909 | 142 | 0.3 | 0.0449 | 0.0781 | 0.8455 |
0.4382 | 4.0 | 384 | 0.3281 | 0.2727 | 0.0645 | 0.1043 | 93 | 0.3710 | 0.2771 | 0.3172 | 166 | 0.3882 | 0.4648 | 0.4231 | 142 | 0.3734 | 0.2943 | 0.3291 | 0.8883 |
0.32 | 5.0 | 480 | 0.2350 | 0.3857 | 0.2903 | 0.3313 | 93 | 0.5231 | 0.6145 | 0.5651 | 166 | 0.5886 | 0.7254 | 0.6498 | 142 | 0.5273 | 0.5786 | 0.5517 | 0.9292 |
0.2426 | 6.0 | 576 | 0.1839 | 0.5745 | 0.5806 | 0.5775 | 93 | 0.6158 | 0.7530 | 0.6775 | 166 | 0.7636 | 0.8873 | 0.8208 | 142 | 0.6602 | 0.7606 | 0.7068 | 0.9512 |
0.1962 | 7.0 | 672 | 0.1463 | 0.7188 | 0.7419 | 0.7302 | 93 | 0.6804 | 0.7952 | 0.7333 | 166 | 0.8903 | 0.9718 | 0.9293 | 142 | 0.7618 | 0.8454 | 0.8014 | 0.9619 |
0.1696 | 8.0 | 768 | 0.1200 | 0.7732 | 0.8065 | 0.7895 | 93 | 0.7312 | 0.8193 | 0.7727 | 166 | 0.9133 | 0.9648 | 0.9384 | 142 | 0.8037 | 0.8678 | 0.8345 | 0.9682 |
0.1508 | 9.0 | 864 | 0.1069 | 0.8 | 0.8602 | 0.8290 | 93 | 0.7473 | 0.8373 | 0.7898 | 166 | 0.9079 | 0.9718 | 0.9388 | 142 | 0.8151 | 0.8903 | 0.8510 | 0.9695 |
0.1359 | 10.0 | 960 | 0.0937 | 0.7980 | 0.8495 | 0.8229 | 93 | 0.7581 | 0.8494 | 0.8011 | 166 | 0.9195 | 0.9648 | 0.9416 | 142 | 0.8226 | 0.8903 | 0.8551 | 0.9712 |
0.126 | 11.0 | 1056 | 0.0873 | 0.7843 | 0.8602 | 0.8205 | 93 | 0.7772 | 0.8614 | 0.8171 | 166 | 0.9133 | 0.9648 | 0.9384 | 142 | 0.8257 | 0.8978 | 0.8602 | 0.9726 |
0.1191 | 12.0 | 1152 | 0.0826 | 0.7885 | 0.8817 | 0.8325 | 93 | 0.7861 | 0.8855 | 0.8329 | 166 | 0.9195 | 0.9648 | 0.9416 | 142 | 0.8318 | 0.9127 | 0.8704 | 0.9739 |
0.1126 | 13.0 | 1248 | 0.0742 | 0.8235 | 0.9032 | 0.8615 | 93 | 0.8167 | 0.8855 | 0.8497 | 166 | 0.9320 | 0.9648 | 0.9481 | 142 | 0.8578 | 0.9177 | 0.8867 | 0.9770 |
0.1061 | 14.0 | 1344 | 0.0707 | 0.85 | 0.9140 | 0.8808 | 93 | 0.8439 | 0.8795 | 0.8614 | 166 | 0.9320 | 0.9648 | 0.9481 | 142 | 0.8762 | 0.9177 | 0.8965 | 0.9789 |
0.1003 | 15.0 | 1440 | 0.0703 | 0.86 | 0.9247 | 0.8912 | 93 | 0.8278 | 0.8976 | 0.8613 | 166 | 0.9448 | 0.9648 | 0.9547 | 142 | 0.8753 | 0.9277 | 0.9007 | 0.9783 |
0.1008 | 16.0 | 1536 | 0.0686 | 0.8529 | 0.9355 | 0.8923 | 93 | 0.8287 | 0.9036 | 0.8646 | 166 | 0.9320 | 0.9648 | 0.9481 | 142 | 0.8698 | 0.9327 | 0.9001 | 0.9778 |
0.0957 | 17.0 | 1632 | 0.0617 | 0.86 | 0.9247 | 0.8912 | 93 | 0.8613 | 0.8976 | 0.8791 | 166 | 0.9514 | 0.9648 | 0.9580 | 142 | 0.8921 | 0.9277 | 0.9095 | 0.9802 |
0.0923 | 18.0 | 1728 | 0.0594 | 0.8687 | 0.9247 | 0.8958 | 93 | 0.8713 | 0.8976 | 0.8843 | 166 | 0.9580 | 0.9648 | 0.9614 | 142 | 0.9007 | 0.9277 | 0.9140 | 0.9819 |
0.0894 | 19.0 | 1824 | 0.0591 | 0.8529 | 0.9355 | 0.8923 | 93 | 0.8497 | 0.8855 | 0.8673 | 166 | 0.9448 | 0.9648 | 0.9547 | 142 | 0.8833 | 0.9252 | 0.9038 | 0.9800 |
0.0852 | 20.0 | 1920 | 0.0565 | 0.8365 | 0.9355 | 0.8832 | 93 | 0.8690 | 0.8795 | 0.8743 | 166 | 0.9448 | 0.9648 | 0.9547 | 142 | 0.8873 | 0.9227 | 0.9046 | 0.9813 |
0.0857 | 21.0 | 2016 | 0.0591 | 0.8286 | 0.9355 | 0.8788 | 93 | 0.8514 | 0.8976 | 0.8739 | 166 | 0.9580 | 0.9648 | 0.9614 | 142 | 0.8818 | 0.9302 | 0.9053 | 0.9816 |
0.0817 | 22.0 | 2112 | 0.0585 | 0.8286 | 0.9355 | 0.8788 | 93 | 0.8506 | 0.8916 | 0.8706 | 166 | 0.9448 | 0.9648 | 0.9547 | 142 | 0.8774 | 0.9277 | 0.9018 | 0.9808 |
0.0792 | 23.0 | 2208 | 0.0544 | 0.8431 | 0.9247 | 0.8821 | 93 | 0.8675 | 0.8675 | 0.8675 | 166 | 0.9580 | 0.9648 | 0.9614 | 142 | 0.8929 | 0.9152 | 0.9039 | 0.9811 |
0.0788 | 24.0 | 2304 | 0.0548 | 0.8269 | 0.9247 | 0.8731 | 93 | 0.8675 | 0.8675 | 0.8675 | 166 | 0.9580 | 0.9648 | 0.9614 | 142 | 0.8886 | 0.9152 | 0.9017 | 0.9811 |
0.0772 | 25.0 | 2400 | 0.0541 | 0.8365 | 0.9355 | 0.8832 | 93 | 0.875 | 0.8855 | 0.8802 | 166 | 0.9514 | 0.9648 | 0.9580 | 142 | 0.8918 | 0.9252 | 0.9082 | 0.9816 |
0.0755 | 26.0 | 2496 | 0.0507 | 0.8776 | 0.9247 | 0.9005 | 93 | 0.8772 | 0.9036 | 0.8902 | 166 | 0.9514 | 0.9648 | 0.9580 | 142 | 0.9031 | 0.9302 | 0.9165 | 0.9835 |
0.0717 | 27.0 | 2592 | 0.0506 | 0.8687 | 0.9247 | 0.8958 | 93 | 0.8678 | 0.9096 | 0.8882 | 166 | 0.9580 | 0.9648 | 0.9614 | 142 | 0.8990 | 0.9327 | 0.9155 | 0.9841 |
0.0725 | 28.0 | 2688 | 0.0518 | 0.8350 | 0.9247 | 0.8776 | 93 | 0.8765 | 0.8976 | 0.8869 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.8988 | 0.9302 | 0.9142 | 0.9833 |
0.0713 | 29.0 | 2784 | 0.0505 | 0.8431 | 0.9247 | 0.8821 | 93 | 0.8817 | 0.8976 | 0.8896 | 166 | 0.9580 | 0.9648 | 0.9614 | 142 | 0.8986 | 0.9277 | 0.9129 | 0.9833 |
0.0671 | 30.0 | 2880 | 0.0477 | 0.8687 | 0.9247 | 0.8958 | 93 | 0.8889 | 0.9157 | 0.9021 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9126 | 0.9377 | 0.9250 | 0.9846 |
0.0666 | 31.0 | 2976 | 0.0480 | 0.8350 | 0.9247 | 0.8776 | 93 | 0.8855 | 0.8855 | 0.8855 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9027 | 0.9252 | 0.9138 | 0.9838 |
0.0638 | 32.0 | 3072 | 0.0482 | 0.8515 | 0.9247 | 0.8866 | 93 | 0.8922 | 0.8976 | 0.8949 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9098 | 0.9302 | 0.9199 | 0.9844 |
0.0647 | 33.0 | 3168 | 0.0482 | 0.8350 | 0.9247 | 0.8776 | 93 | 0.8862 | 0.8916 | 0.8889 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9029 | 0.9277 | 0.9151 | 0.9835 |
0.0642 | 34.0 | 3264 | 0.0486 | 0.8431 | 0.9247 | 0.8821 | 93 | 0.8779 | 0.9096 | 0.8935 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.8993 | 0.9352 | 0.9169 | 0.9833 |
0.0603 | 35.0 | 3360 | 0.0463 | 0.8515 | 0.9247 | 0.8866 | 93 | 0.8929 | 0.9036 | 0.8982 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9100 | 0.9327 | 0.9212 | 0.9852 |
0.0627 | 36.0 | 3456 | 0.0483 | 0.8350 | 0.9247 | 0.8776 | 93 | 0.8876 | 0.9036 | 0.8955 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9034 | 0.9327 | 0.9178 | 0.9846 |
0.0606 | 37.0 | 3552 | 0.0461 | 0.8776 | 0.9247 | 0.9005 | 93 | 0.8902 | 0.9277 | 0.9086 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9153 | 0.9426 | 0.9287 | 0.9855 |
0.0602 | 38.0 | 3648 | 0.0457 | 0.8958 | 0.9247 | 0.9101 | 93 | 0.8953 | 0.9277 | 0.9112 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9220 | 0.9426 | 0.9322 | 0.9857 |
0.058 | 39.0 | 3744 | 0.0452 | 0.8866 | 0.9247 | 0.9053 | 93 | 0.8902 | 0.9277 | 0.9086 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9175 | 0.9426 | 0.9299 | 0.9860 |
0.0579 | 40.0 | 3840 | 0.0443 | 0.8958 | 0.9247 | 0.9101 | 93 | 0.9 | 0.9217 | 0.9107 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9240 | 0.9401 | 0.9320 | 0.9863 |
0.0551 | 41.0 | 3936 | 0.0439 | 0.8958 | 0.9247 | 0.9101 | 93 | 0.8960 | 0.9337 | 0.9145 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9221 | 0.9451 | 0.9335 | 0.9868 |
0.0568 | 42.0 | 4032 | 0.0435 | 0.8788 | 0.9355 | 0.9062 | 93 | 0.8941 | 0.9157 | 0.9048 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9173 | 0.9401 | 0.9286 | 0.9866 |
0.0557 | 43.0 | 4128 | 0.0440 | 0.8969 | 0.9355 | 0.9158 | 93 | 0.9042 | 0.9096 | 0.9069 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9261 | 0.9377 | 0.9318 | 0.9860 |
0.0582 | 44.0 | 4224 | 0.0446 | 0.8529 | 0.9355 | 0.8923 | 93 | 0.9024 | 0.8916 | 0.8970 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9142 | 0.9302 | 0.9221 | 0.9844 |
0.0548 | 45.0 | 4320 | 0.0424 | 0.8878 | 0.9355 | 0.9110 | 93 | 0.9107 | 0.9217 | 0.9162 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9265 | 0.9426 | 0.9345 | 0.9866 |
0.0533 | 46.0 | 4416 | 0.0424 | 0.8788 | 0.9355 | 0.9062 | 93 | 0.8988 | 0.9096 | 0.9042 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9193 | 0.9377 | 0.9284 | 0.9866 |
0.0516 | 47.0 | 4512 | 0.0428 | 0.8687 | 0.9247 | 0.8958 | 93 | 0.8864 | 0.9398 | 0.9123 | 166 | 0.9650 | 0.9718 | 0.9684 | 142 | 0.9091 | 0.9476 | 0.9280 | 0.9860 |
0.0501 | 48.0 | 4608 | 0.0430 | 0.8788 | 0.9355 | 0.9062 | 93 | 0.9042 | 0.9096 | 0.9069 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9216 | 0.9377 | 0.9295 | 0.9863 |
0.053 | 49.0 | 4704 | 0.0433 | 0.8788 | 0.9355 | 0.9062 | 93 | 0.9053 | 0.9217 | 0.9134 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9220 | 0.9426 | 0.9322 | 0.9866 |
0.0483 | 50.0 | 4800 | 0.0416 | 0.9062 | 0.9355 | 0.9206 | 93 | 0.9048 | 0.9157 | 0.9102 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9286 | 0.9401 | 0.9343 | 0.9871 |
0.0505 | 51.0 | 4896 | 0.0418 | 0.8980 | 0.9462 | 0.9215 | 93 | 0.9096 | 0.9096 | 0.9096 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9286 | 0.9401 | 0.9343 | 0.9866 |
0.05 | 52.0 | 4992 | 0.0403 | 0.9255 | 0.9355 | 0.9305 | 93 | 0.8895 | 0.9217 | 0.9053 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9265 | 0.9426 | 0.9345 | 0.9879 |
0.0493 | 53.0 | 5088 | 0.0422 | 0.8969 | 0.9355 | 0.9158 | 93 | 0.9048 | 0.9157 | 0.9102 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9263 | 0.9401 | 0.9332 | 0.9860 |
0.0487 | 54.0 | 5184 | 0.0408 | 0.9158 | 0.9355 | 0.9255 | 93 | 0.9053 | 0.9217 | 0.9134 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9310 | 0.9426 | 0.9368 | 0.9877 |
0.0485 | 55.0 | 5280 | 0.0402 | 0.9158 | 0.9355 | 0.9255 | 93 | 0.9112 | 0.9277 | 0.9194 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9335 | 0.9451 | 0.9393 | 0.9874 |
0.0491 | 56.0 | 5376 | 0.0432 | 0.8878 | 0.9355 | 0.9110 | 93 | 0.8960 | 0.9337 | 0.9145 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9201 | 0.9476 | 0.9337 | 0.9863 |
0.0495 | 57.0 | 5472 | 0.0409 | 0.8980 | 0.9462 | 0.9215 | 93 | 0.9048 | 0.9157 | 0.9102 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9265 | 0.9426 | 0.9345 | 0.9866 |
0.0495 | 58.0 | 5568 | 0.0425 | 0.8980 | 0.9462 | 0.9215 | 93 | 0.9048 | 0.9157 | 0.9102 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9265 | 0.9426 | 0.9345 | 0.9866 |
0.0462 | 59.0 | 5664 | 0.0412 | 0.8980 | 0.9462 | 0.9215 | 93 | 0.9102 | 0.9157 | 0.9129 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9287 | 0.9426 | 0.9356 | 0.9871 |
0.048 | 60.0 | 5760 | 0.0409 | 0.9072 | 0.9462 | 0.9263 | 93 | 0.9157 | 0.9157 | 0.9157 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9333 | 0.9426 | 0.9380 | 0.9868 |
0.048 | 61.0 | 5856 | 0.0396 | 0.8980 | 0.9462 | 0.9215 | 93 | 0.9102 | 0.9157 | 0.9129 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9287 | 0.9426 | 0.9356 | 0.9879 |
0.0461 | 62.0 | 5952 | 0.0403 | 0.8969 | 0.9355 | 0.9158 | 93 | 0.8935 | 0.9096 | 0.9015 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9216 | 0.9377 | 0.9295 | 0.9871 |
0.0459 | 63.0 | 6048 | 0.0405 | 0.8889 | 0.9462 | 0.9167 | 93 | 0.9162 | 0.9217 | 0.9189 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9289 | 0.9451 | 0.9370 | 0.9871 |
0.0461 | 64.0 | 6144 | 0.0394 | 0.8969 | 0.9355 | 0.9158 | 93 | 0.8882 | 0.9096 | 0.8988 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9193 | 0.9377 | 0.9284 | 0.9874 |
0.0431 | 65.0 | 6240 | 0.0408 | 0.8980 | 0.9462 | 0.9215 | 93 | 0.9091 | 0.9036 | 0.9063 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9284 | 0.9377 | 0.9330 | 0.9874 |
0.0448 | 66.0 | 6336 | 0.0396 | 0.9072 | 0.9462 | 0.9263 | 93 | 0.9053 | 0.9217 | 0.9134 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9289 | 0.9451 | 0.9370 | 0.9877 |
0.044 | 67.0 | 6432 | 0.0403 | 0.8980 | 0.9462 | 0.9215 | 93 | 0.9091 | 0.9036 | 0.9063 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9284 | 0.9377 | 0.9330 | 0.9871 |
0.0439 | 68.0 | 6528 | 0.0404 | 0.8889 | 0.9462 | 0.9167 | 93 | 0.9207 | 0.9096 | 0.9152 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9309 | 0.9401 | 0.9355 | 0.9874 |
0.0451 | 69.0 | 6624 | 0.0416 | 0.88 | 0.9462 | 0.9119 | 93 | 0.9207 | 0.9096 | 0.9152 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9286 | 0.9401 | 0.9343 | 0.9868 |
0.0429 | 70.0 | 6720 | 0.0403 | 0.88 | 0.9462 | 0.9119 | 93 | 0.9053 | 0.9217 | 0.9134 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9221 | 0.9451 | 0.9335 | 0.9877 |
0.0447 | 71.0 | 6816 | 0.0402 | 0.8980 | 0.9462 | 0.9215 | 93 | 0.9167 | 0.9277 | 0.9222 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9314 | 0.9476 | 0.9394 | 0.9877 |
0.0437 | 72.0 | 6912 | 0.0398 | 0.8889 | 0.9462 | 0.9167 | 93 | 0.9152 | 0.9096 | 0.9124 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9286 | 0.9401 | 0.9343 | 0.9871 |
0.041 | 73.0 | 7008 | 0.0399 | 0.8878 | 0.9355 | 0.9110 | 93 | 0.9107 | 0.9217 | 0.9162 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9265 | 0.9426 | 0.9345 | 0.9874 |
0.0425 | 74.0 | 7104 | 0.0406 | 0.8969 | 0.9355 | 0.9158 | 93 | 0.9112 | 0.9277 | 0.9194 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9289 | 0.9451 | 0.9370 | 0.9871 |
0.0426 | 75.0 | 7200 | 0.0395 | 0.8878 | 0.9355 | 0.9110 | 93 | 0.9 | 0.9217 | 0.9107 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9220 | 0.9426 | 0.9322 | 0.9871 |
0.0398 | 76.0 | 7296 | 0.0402 | 0.8889 | 0.9462 | 0.9167 | 93 | 0.9212 | 0.9157 | 0.9184 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9310 | 0.9426 | 0.9368 | 0.9874 |
0.0407 | 77.0 | 7392 | 0.0392 | 0.8788 | 0.9355 | 0.9062 | 93 | 0.9096 | 0.9096 | 0.9096 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9238 | 0.9377 | 0.9307 | 0.9874 |
0.0411 | 78.0 | 7488 | 0.0394 | 0.8788 | 0.9355 | 0.9062 | 93 | 0.8988 | 0.9096 | 0.9042 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9193 | 0.9377 | 0.9284 | 0.9868 |
0.0417 | 79.0 | 7584 | 0.0395 | 0.8788 | 0.9355 | 0.9062 | 93 | 0.9053 | 0.9217 | 0.9134 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9220 | 0.9426 | 0.9322 | 0.9871 |
0.0412 | 80.0 | 7680 | 0.0396 | 0.8788 | 0.9355 | 0.9062 | 93 | 0.8895 | 0.9217 | 0.9053 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9153 | 0.9426 | 0.9287 | 0.9877 |
0.0431 | 81.0 | 7776 | 0.0399 | 0.87 | 0.9355 | 0.9016 | 93 | 0.8941 | 0.9157 | 0.9048 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9150 | 0.9401 | 0.9274 | 0.9871 |
0.042 | 82.0 | 7872 | 0.0401 | 0.8889 | 0.9462 | 0.9167 | 93 | 0.9162 | 0.9217 | 0.9189 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9289 | 0.9451 | 0.9370 | 0.9871 |
0.0412 | 83.0 | 7968 | 0.0403 | 0.8889 | 0.9462 | 0.9167 | 93 | 0.9162 | 0.9217 | 0.9189 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9289 | 0.9451 | 0.9370 | 0.9871 |
0.0413 | 84.0 | 8064 | 0.0409 | 0.8889 | 0.9462 | 0.9167 | 93 | 0.9102 | 0.9157 | 0.9129 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9265 | 0.9426 | 0.9345 | 0.9871 |
0.0405 | 85.0 | 8160 | 0.0397 | 0.8713 | 0.9462 | 0.9072 | 93 | 0.9107 | 0.9217 | 0.9162 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9221 | 0.9451 | 0.9335 | 0.9879 |
0.0405 | 86.0 | 8256 | 0.0397 | 0.8713 | 0.9462 | 0.9072 | 93 | 0.9107 | 0.9217 | 0.9162 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9221 | 0.9451 | 0.9335 | 0.9879 |
0.0401 | 87.0 | 8352 | 0.0398 | 0.8713 | 0.9462 | 0.9072 | 93 | 0.9048 | 0.9157 | 0.9102 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9197 | 0.9426 | 0.9310 | 0.9877 |
0.041 | 88.0 | 8448 | 0.0398 | 0.8713 | 0.9462 | 0.9072 | 93 | 0.9107 | 0.9217 | 0.9162 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9221 | 0.9451 | 0.9335 | 0.9879 |
0.0397 | 89.0 | 8544 | 0.0396 | 0.87 | 0.9355 | 0.9016 | 93 | 0.9048 | 0.9157 | 0.9102 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9195 | 0.9401 | 0.9297 | 0.9877 |
0.0398 | 90.0 | 8640 | 0.0396 | 0.87 | 0.9355 | 0.9016 | 93 | 0.9053 | 0.9217 | 0.9134 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9197 | 0.9426 | 0.9310 | 0.9879 |
0.039 | 91.0 | 8736 | 0.0395 | 0.88 | 0.9462 | 0.9119 | 93 | 0.9162 | 0.9217 | 0.9189 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9267 | 0.9451 | 0.9358 | 0.9877 |
0.0385 | 92.0 | 8832 | 0.0398 | 0.88 | 0.9462 | 0.9119 | 93 | 0.9048 | 0.9157 | 0.9102 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9220 | 0.9426 | 0.9322 | 0.9871 |
0.0385 | 93.0 | 8928 | 0.0398 | 0.88 | 0.9462 | 0.9119 | 93 | 0.9048 | 0.9157 | 0.9102 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9220 | 0.9426 | 0.9322 | 0.9874 |
0.0398 | 94.0 | 9024 | 0.0397 | 0.88 | 0.9462 | 0.9119 | 93 | 0.9048 | 0.9157 | 0.9102 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9220 | 0.9426 | 0.9322 | 0.9871 |
0.0382 | 95.0 | 9120 | 0.0396 | 0.88 | 0.9462 | 0.9119 | 93 | 0.9048 | 0.9157 | 0.9102 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9220 | 0.9426 | 0.9322 | 0.9874 |
0.0408 | 96.0 | 9216 | 0.0394 | 0.88 | 0.9462 | 0.9119 | 93 | 0.9048 | 0.9157 | 0.9102 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9220 | 0.9426 | 0.9322 | 0.9874 |
0.0372 | 97.0 | 9312 | 0.0395 | 0.88 | 0.9462 | 0.9119 | 93 | 0.9048 | 0.9157 | 0.9102 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9220 | 0.9426 | 0.9322 | 0.9871 |
0.0392 | 98.0 | 9408 | 0.0395 | 0.8788 | 0.9355 | 0.9062 | 93 | 0.8994 | 0.9157 | 0.9075 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9195 | 0.9401 | 0.9297 | 0.9871 |
0.0393 | 99.0 | 9504 | 0.0395 | 0.88 | 0.9462 | 0.9119 | 93 | 0.9048 | 0.9157 | 0.9102 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9220 | 0.9426 | 0.9322 | 0.9874 |
0.0399 | 100.0 | 9600 | 0.0395 | 0.88 | 0.9462 | 0.9119 | 93 | 0.9048 | 0.9157 | 0.9102 | 166 | 0.9718 | 0.9718 | 0.9718 | 142 | 0.9220 | 0.9426 | 0.9322 | 0.9874 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2
Model tree for apwic/nerui-lora-r8-2
Base model
indolem/indobert-base-uncased