judithrosell / BC5CDR_bioBERT_NER

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Model's Last Updated: December 18 2023
token-classification

Introduction of BC5CDR_bioBERT_NER

Model Details of BC5CDR_bioBERT_NER

BC5CDR_bioBERT_NER

This model is a fine-tuned version of dmis-lab/biobert-v1.1 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0808

  • Seqeval classification report: precision recall f1-score support

    Chemical 0.99 0.98 0.98 103336 Disease 0.83 0.88 0.85 6944

    micro avg 0.97 0.97 0.97 110280 macro avg 0.91 0.93 0.92 110280

weighted avg 0.98 0.97 0.97 110280

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 1.0 143 0.0903 precision recall f1-score support
Chemical       0.98      0.98      0.98    103336
 Disease       0.79      0.87      0.83      6944

micro avg 0.97 0.97 0.97 110280 macro avg 0.89 0.92 0.90 110280 weighted avg 0.97 0.97 0.97 110280 | | No log | 2.0 | 286 | 0.0823 | precision recall f1-score support

Chemical       0.99      0.98      0.98    103336
 Disease       0.79      0.87      0.83      6944

micro avg 0.97 0.97 0.97 110280 macro avg 0.89 0.92 0.91 110280 weighted avg 0.97 0.97 0.97 110280 | | No log | 3.0 | 429 | 0.0808 | precision recall f1-score support

Chemical       0.99      0.98      0.98    103336
 Disease       0.83      0.88      0.85      6944

micro avg 0.97 0.97 0.97 110280 macro avg 0.91 0.93 0.92 110280 weighted avg 0.98 0.97 0.97 110280 |

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

Runs of judithrosell BC5CDR_bioBERT_NER on huggingface.co

697
Total runs
75
24-hour runs
231
3-day runs
294
7-day runs
637
30-day runs

More Information About BC5CDR_bioBERT_NER huggingface.co Model

BC5CDR_bioBERT_NER huggingface.co

BC5CDR_bioBERT_NER huggingface.co is an AI model on huggingface.co that provides BC5CDR_bioBERT_NER's model effect (), which can be used instantly with this judithrosell BC5CDR_bioBERT_NER model. huggingface.co supports a free trial of the BC5CDR_bioBERT_NER model, and also provides paid use of the BC5CDR_bioBERT_NER. Support call BC5CDR_bioBERT_NER model through api, including Node.js, Python, http.

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https://huggingface.co/judithrosell/BC5CDR_bioBERT_NER

BC5CDR_bioBERT_NER install

BC5CDR_bioBERT_NER is an open source model from GitHub that offers a free installation service, and any user can find BC5CDR_bioBERT_NER on GitHub to install. At the same time, huggingface.co provides the effect of BC5CDR_bioBERT_NER install, users can directly use BC5CDR_bioBERT_NER installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

BC5CDR_bioBERT_NER install url in huggingface.co:

https://huggingface.co/judithrosell/BC5CDR_bioBERT_NER

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