judithrosell / PubMedBERT_JNLPBA_NER

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Total runs: 12
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7-day runs: 4
30-day runs: 11
Model's Last Updated: December 25 2023
token-classification

Introduction of PubMedBERT_JNLPBA_NER

Model Details of PubMedBERT_JNLPBA_NER

PubMedBERT_JNLPBA_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: 0.1449
  • Precision: 0.9556
  • Recall: 0.9503
  • F1: 0.9529
  • Accuracy: 0.9508
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
0.2769 1.0 582 0.1556 0.9519 0.9473 0.9496 0.9472
0.1456 2.0 1164 0.1493 0.9551 0.9488 0.9519 0.9495
0.1291 3.0 1746 0.1449 0.9556 0.9503 0.9529 0.9508
Framework versions
  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.0
  • Tokenizers 0.15.0

Runs of judithrosell PubMedBERT_JNLPBA_NER on huggingface.co

12
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3-day runs
4
7-day runs
11
30-day runs

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

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judithrosell PubMedBERT_JNLPBA_NER online free

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

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PubMedBERT_JNLPBA_NER install

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

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