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2026-07-14-crf-classweights-clean-modernbert

c-ho / 2026-07-14-crf-classweights-clean-modernbert

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Total runs: 12
24-hour runs: 0
7-day runs: -1
30-day runs: -21
Model's Last Updated: July 15 2026
token-classification

Introduction of 2026-07-14-crf-classweights-clean-modernbert

Model Details of 2026-07-14-crf-classweights-clean-modernbert

2026-07-14-crf-classweights-clean

This model is a fine-tuned version of jhu-clsp/mmBERT-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 6.2511
  • Precision: 0.8409
  • Recall: 0.7867
  • F1: 0.8129
  • Accuracy: 0.9783
  • Academicdiscipline F1: 0.7692
  • Ambiguouslydefinedconcept F1: 0.8657
  • Discoursephenomenon F1: 0.6575
  • Graphemicphenomenon F1: 0.3333
  • Languagerelatedterm F1: 0.8585
  • Languageresourceinformation F1: 0.7790
  • Lexicalphenomenon F1: 0.8214
  • Morphologicalphenomenon F1: 0.8577
  • Morphosyntacticphenomenon F1: 0.8653
  • New Tag F1: 0.8329
  • Otherlinguisticterm F1: 0.7828
  • Phonologicalphenomenon F1: 0.8905
  • Semanticphenomenon F1: 0.7410
  • Syntacticphenomenon F1: 0.7627
  • Topnode Dummy F1: 0.6966
  • Unclassifiedlinguisticconcept F1: 0.7826
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: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • 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
154.2066 1.0 950 4.7964 0.7411 0.4345 0.5478 0.9571 0.0 0.4742 0.2826 0.0 0.6186 0.4208 0.4900 0.6951 0.7134 0.4680 0.3303 0.7409 0.4689 0.5193 0.2402 0.5909
15.6468 2.0 1900 3.2432 0.7480 0.6904 0.7181 0.9685 0.4615 0.7045 0.5679 0.0 0.7653 0.7037 0.7048 0.7611 0.8067 0.7319 0.6433 0.8467 0.6555 0.6880 0.5009 0.7414
7.7215 3.0 2850 2.8585 0.8064 0.7123 0.7564 0.9730 0.72 0.7874 0.5373 0.0 0.8084 0.7146 0.8047 0.8036 0.8318 0.7605 0.6534 0.8793 0.7372 0.6694 0.6221 0.7692
4.5474 4.0 3800 3.2020 0.7642 0.7979 0.7807 0.9738 0.7407 0.8382 0.6316 0.0 0.8447 0.7506 0.7390 0.8051 0.8334 0.7852 0.7424 0.8733 0.7207 0.7390 0.6788 0.7833
2.5276 5.0 4750 3.5201 0.8295 0.7421 0.7833 0.9758 0.7407 0.8507 0.6333 0.0 0.8488 0.7241 0.7758 0.8546 0.8228 0.8159 0.7595 0.8842 0.7 0.7231 0.6515 0.7965
1.5515 6.0 5700 4.6262 0.8448 0.7346 0.7859 0.9761 0.64 0.8489 0.6316 0.3333 0.8633 0.7895 0.7862 0.8437 0.8424 0.8215 0.7296 0.8608 0.6508 0.7159 0.6518 0.7965
1.1181 7.0 6650 4.9084 0.8056 0.7965 0.8010 0.9764 0.6667 0.8652 0.5833 0.0 0.8431 0.7857 0.8084 0.8432 0.8473 0.8303 0.7488 0.8922 0.7088 0.7718 0.6849 0.8205
0.7848 8.0 7600 5.2752 0.8068 0.8074 0.8071 0.9771 0.6923 0.8636 0.6076 0.0 0.8385 0.7837 0.7688 0.8448 0.8689 0.8077 0.7673 0.8980 0.7852 0.7602 0.7017 0.8430
0.5062 9.0 8550 5.7397 0.8059 0.8028 0.8044 0.9770 0.72 0.8684 0.6667 0.0 0.8433 0.7483 0.7865 0.8466 0.8612 0.8205 0.7662 0.9012 0.7550 0.7549 0.6856 0.8376
0.2785 10.0 9500 6.2578 0.8445 0.7653 0.8030 0.9773 0.7692 0.8676 0.6667 0.0 0.8294 0.7762 0.7768 0.8624 0.8543 0.8285 0.7654 0.9019 0.7681 0.7433 0.6791 0.8142
0.2292 11.0 10450 6.0476 0.8321 0.7922 0.8117 0.9781 0.7692 0.7917 0.6154 0.3333 0.8544 0.7991 0.8144 0.8618 0.8679 0.8274 0.7721 0.8969 0.6939 0.7630 0.7067 0.8276
0.1621 12.0 11400 6.2511 0.8409 0.7867 0.8129 0.9783 0.7692 0.8657 0.6575 0.3333 0.8585 0.7790 0.8214 0.8577 0.8653 0.8329 0.7828 0.8905 0.7410 0.7627 0.6966 0.7826
0.0634 13.0 12350 6.1515 0.8012 0.8204 0.8107 0.9776 0.7407 0.8613 0.6053 0.3333 0.8609 0.7909 0.8215 0.8430 0.8673 0.8269 0.7655 0.8946 0.7877 0.7595 0.6992 0.7895
0.0088 14.0 13300 6.2072 0.8138 0.8091 0.8114 0.9778 0.7407 0.8696 0.6234 0.3333 0.8583 0.7778 0.8357 0.8545 0.8647 0.8214 0.7679 0.8965 0.7698 0.7601 0.7014 0.7788
0.0123 15.0 14250 6.3479 0.8279 0.7983 0.8128 0.9781 0.7407 0.8696 0.6316 0.3333 0.8557 0.7885 0.8235 0.8566 0.8661 0.8403 0.7636 0.8968 0.7410 0.7616 0.6984 0.7788
Framework versions
  • Transformers 4.57.6
  • Pytorch 2.6.0+cu124
  • Datasets 3.2.0
  • Tokenizers 0.22.2

Runs of c-ho 2026-07-14-crf-classweights-clean-modernbert on huggingface.co

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3-day runs
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