judithrosell / CRAFT_SciBERT_NER

huggingface.co
Total runs: 13
24-hour runs: 0
7-day runs: 3
30-day runs: 8
Model's Last Updated: December 18 2023
token-classification

Introduction of CRAFT_SciBERT_NER

Model Details of CRAFT_SciBERT_NER

CRAFT_SciBERT_NER

This model is a fine-tuned version of allenai/scibert_scivocab_uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1143

  • Seqeval classification report: precision recall f1-score support

     CHEBI       0.74      0.70      0.72       457
        CL       0.82      0.75      0.78      1099
       GGP       0.92      0.93      0.93      2232
        GO       0.78      0.84      0.81      2508
        SO       0.83      0.81      0.82      1365
     Taxon       0.99      0.99      0.99     87655
    

    micro avg 0.98 0.98 0.98 95316 macro avg 0.85 0.84 0.84 95316

weighted avg 0.98 0.98 0.98 95316

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: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
Training results
Training Loss Epoch Step Validation Loss Seqeval classification report
No log 1.0 347 0.1140 precision recall f1-score support
   CHEBI       0.66      0.69      0.67       457
      CL       0.83      0.69      0.75      1099
     GGP       0.89      0.93      0.91      2232
      GO       0.76      0.85      0.80      2508
      SO       0.79      0.73      0.76      1365
   Taxon       0.99      0.99      0.99     87655

micro avg 0.97 0.97 0.97 95316 macro avg 0.82 0.81 0.81 95316 weighted avg 0.97 0.97 0.97 95316 | | 0.1263 | 2.0 | 695 | 0.1126 | precision recall f1-score support

   CHEBI       0.73      0.69      0.71       457
      CL       0.85      0.72      0.78      1099
     GGP       0.91      0.93      0.92      2232
      GO       0.74      0.87      0.80      2508
      SO       0.82      0.80      0.81      1365
   Taxon       0.99      0.99      0.99     87655

micro avg 0.97 0.97 0.97 95316 macro avg 0.84 0.83 0.83 95316 weighted avg 0.97 0.97 0.97 95316 | | 0.0326 | 3.0 | 1041 | 0.1143 | precision recall f1-score support

   CHEBI       0.74      0.70      0.72       457
      CL       0.82      0.75      0.78      1099
     GGP       0.92      0.93      0.93      2232
      GO       0.78      0.84      0.81      2508
      SO       0.83      0.81      0.82      1365
   Taxon       0.99      0.99      0.99     87655

micro avg 0.98 0.98 0.98 95316 macro avg 0.85 0.84 0.84 95316 weighted avg 0.98 0.98 0.98 95316 |

Framework versions
  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0

Runs of judithrosell CRAFT_SciBERT_NER on huggingface.co

13
Total runs
0
24-hour runs
2
3-day runs
3
7-day runs
8
30-day runs

More Information About CRAFT_SciBERT_NER huggingface.co Model

CRAFT_SciBERT_NER huggingface.co

CRAFT_SciBERT_NER huggingface.co is an AI model on huggingface.co that provides CRAFT_SciBERT_NER's model effect (), which can be used instantly with this judithrosell CRAFT_SciBERT_NER model. huggingface.co supports a free trial of the CRAFT_SciBERT_NER model, and also provides paid use of the CRAFT_SciBERT_NER. Support call CRAFT_SciBERT_NER model through api, including Node.js, Python, http.

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CRAFT_SciBERT_NER huggingface.co is an online trial and call api platform, which integrates CRAFT_SciBERT_NER's modeling effects, including api services, and provides a free online trial of CRAFT_SciBERT_NER, you can try CRAFT_SciBERT_NER online for free by clicking the link below.

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CRAFT_SciBERT_NER install

CRAFT_SciBERT_NER is an open source model from GitHub that offers a free installation service, and any user can find CRAFT_SciBERT_NER on GitHub to install. At the same time, huggingface.co provides the effect of CRAFT_SciBERT_NER install, users can directly use CRAFT_SciBERT_NER installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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