c-ho / 2026-07-15-crf-classweights-clean

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Total runs: 4
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7-day runs: -1
30-day runs: -9
Model's Last Updated: July 15 2026
token-classification

Introduction of 2026-07-15-crf-classweights-clean

Model Details of 2026-07-15-crf-classweights-clean

2026-07-15-crf-classweights-clean

This model is a fine-tuned version of Davlan/bert-base-multilingual-cased-ner-hrl on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 15.9306
  • Precision: 0.7749
  • Recall: 0.8188
  • F1: 0.7962
  • Accuracy: 0.9693
  • Academicdiscipline F1: 0.6667
  • Ambiguouslydefinedconcept F1: 0.8511
  • Discoursephenomenon F1: 0.5176
  • Graphemicphenomenon F1: 0.0
  • Languagerelatedterm F1: 0.8045
  • Languageresourceinformation F1: 0.7235
  • Lexicalphenomenon F1: 0.7793
  • Morphologicalphenomenon F1: 0.8499
  • Morphosyntacticphenomenon F1: 0.8562
  • New Tag F1: 0.8362
  • Otherlinguisticterm F1: 0.7341
  • Phonologicalphenomenon F1: 0.8885
  • Semanticphenomenon F1: 0.7125
  • Syntacticphenomenon F1: 0.7332
  • Topnode Dummy F1: 0.7137
  • Unclassifiedlinguisticconcept F1: 0.8372
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: 8
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 15
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy Academicdiscipline F1 Ambiguouslydefinedconcept F1 Discoursephenomenon F1 Graphemicphenomenon F1 Languagerelatedterm F1 Languageresourceinformation F1 Lexicalphenomenon F1 Morphologicalphenomenon F1 Morphosyntacticphenomenon F1 New Tag F1 Otherlinguisticterm F1 Phonologicalphenomenon F1 Semanticphenomenon F1 Syntacticphenomenon F1 Topnode Dummy F1 Unclassifiedlinguisticconcept F1
No log 1.0 475 20.9643 0.4126 0.2917 0.3418 0.9280 0.0 0.0 0.0 0.0 0.5828 0.0 0.0 0.4069 0.4512 0.0458 0.1155 0.6207 0.0 0.0846 0.0 0.0
349.6461 2.0 950 10.6481 0.7141 0.6501 0.6806 0.9565 0.1176 0.5625 0.2619 0.0 0.7268 0.7164 0.6310 0.7869 0.7778 0.6812 0.5840 0.8198 0.4677 0.6367 0.4777 0.7310
58.182 3.0 1425 8.7980 0.7446 0.7154 0.7297 0.9623 0.2105 0.8256 0.4045 0.0 0.7627 0.7357 0.6572 0.7834 0.7958 0.7514 0.6521 0.8777 0.5911 0.6749 0.5872 0.7534
33.4838 4.0 1900 8.1229 0.7398 0.7661 0.7527 0.9641 0.4800 0.8222 0.4948 0.0 0.7933 0.7823 0.7006 0.8040 0.8028 0.7848 0.6842 0.8619 0.6512 0.7161 0.6417 0.7838
21.2836 5.0 2375 8.7983 0.7419 0.7925 0.7664 0.9652 0.3 0.7730 0.4828 0.0 0.8029 0.7404 0.7238 0.8128 0.8299 0.7935 0.6946 0.88 0.6838 0.7176 0.6528 0.7922
14.006 6.0 2850 8.7115 0.7818 0.7816 0.7817 0.9681 0.3810 0.7807 0.5455 0.0 0.8059 0.7477 0.7599 0.8184 0.8518 0.8123 0.7168 0.8845 0.6872 0.7162 0.6828 0.8105
9.6634 7.0 3325 9.4251 0.7480 0.8125 0.7789 0.9664 0.5217 0.8511 0.5870 0.0 0.7921 0.7504 0.7277 0.8340 0.8429 0.8153 0.7004 0.8920 0.6667 0.7190 0.6892 0.8144
7.0357 8.0 3800 10.2870 0.7721 0.8025 0.7870 0.9681 0.5455 0.8571 0.5714 0.0 0.7979 0.7492 0.7494 0.8258 0.8573 0.8241 0.7324 0.8925 0.6914 0.7230 0.6826 0.7857
5.242 9.0 4275 10.8478 0.7713 0.8106 0.7905 0.9686 0.6667 0.8556 0.5532 0.0 0.8025 0.6783 0.7340 0.8462 0.8571 0.8263 0.7241 0.8810 0.6897 0.7529 0.7029 0.8144
3.6375 10.0 4750 11.6934 0.7686 0.8093 0.7884 0.9681 0.5217 0.8629 0.5843 0.0 0.8178 0.7348 0.7665 0.8137 0.8605 0.8150 0.7202 0.8772 0.6761 0.7398 0.6971 0.8242
2.6672 11.0 5225 12.8775 0.7643 0.8102 0.7866 0.9679 0.6667 0.8660 0.5778 0.0 0.8161 0.7394 0.7710 0.8428 0.8546 0.8223 0.7126 0.8785 0.7056 0.7294 0.6830 0.7753
2.0741 12.0 5700 13.9885 0.7744 0.8102 0.7919 0.9688 0.6154 0.8617 0.5581 0.0 0.8126 0.7368 0.7901 0.8352 0.8588 0.8283 0.7276 0.8801 0.6842 0.7275 0.7048 0.8
1.437 13.0 6175 14.7942 0.7669 0.8204 0.7927 0.9686 0.64 0.8602 0.5581 0.0 0.7987 0.7227 0.7927 0.8540 0.8487 0.8294 0.7374 0.8838 0.6854 0.7367 0.7091 0.8187
1.1322 14.0 6650 15.6444 0.7693 0.8237 0.7956 0.9690 0.6667 0.8360 0.5581 0.0 0.8023 0.7220 0.7723 0.8503 0.8579 0.8367 0.7366 0.8890 0.7019 0.7341 0.7097 0.8439
0.7455 15.0 7125 15.9306 0.7749 0.8188 0.7962 0.9693 0.6667 0.8511 0.5176 0.0 0.8045 0.7235 0.7793 0.8499 0.8562 0.8362 0.7341 0.8885 0.7125 0.7332 0.7137 0.8372
Framework versions
  • Transformers 4.57.6
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.22.2

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