judithrosell / PubMedBERT_CRAFT_NER

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Total runs: 9
24-hour runs: 0
7-day runs: 1
30-day runs: 5
Model's Last Updated: December 26 2023
token-classification

Introduction of PubMedBERT_CRAFT_NER

Model Details of PubMedBERT_CRAFT_NER

PubMedBERT_CRAFT_NER

This model is a fine-tuned version of microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1031
  • Precision: 0.8429
  • Recall: 0.8679
  • F1: 0.8552
  • Accuracy: 0.9734
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 Precision Recall F1 Accuracy
No log 1.0 347 0.1280 0.7851 0.8360 0.8097 0.9647
0.1944 2.0 695 0.1092 0.8187 0.8615 0.8395 0.9707
0.046 3.0 1041 0.1031 0.8429 0.8679 0.8552 0.9734
Framework versions
  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.0
  • Tokenizers 0.15.0

Runs of judithrosell PubMedBERT_CRAFT_NER on huggingface.co

9
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0
24-hour runs
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3-day runs
1
7-day runs
5
30-day runs

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PubMedBERT_CRAFT_NER huggingface.co

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

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judithrosell PubMedBERT_CRAFT_NER online free

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

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PubMedBERT_CRAFT_NER install

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

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