Dinithi / clinical-finetuned-data10

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30-day runs: 16
Model's Last Updated: September 04 2022
text-classification

Introduction of clinical-finetuned-data10

Model Details of clinical-finetuned-data10

clinical-finetuned-data10

This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5795
  • Accuracy: 0.8
  • Precision: 0.8507
  • Recall: 0.8507
  • F1: 0.8507
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: 1e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1
0.4903 1.0 50 0.5799 0.65 0.8810 0.5522 0.6789
0.4553 2.0 100 0.5528 0.71 0.8958 0.6418 0.7478
0.3538 3.0 150 0.5463 0.76 0.8644 0.7612 0.8095
0.2954 4.0 200 0.5511 0.78 0.8462 0.8209 0.8333
0.2644 5.0 250 0.5869 0.79 0.8485 0.8358 0.8421
0.2108 6.0 300 0.5418 0.79 0.8594 0.8209 0.8397
0.1881 7.0 350 0.5622 0.81 0.8636 0.8507 0.8571
0.1602 8.0 400 0.5796 0.8 0.8507 0.8507 0.8507
0.1617 9.0 450 0.5795 0.8 0.8507 0.8507 0.8507
0.1561 10.0 500 0.5795 0.8 0.8507 0.8507 0.8507
Framework versions
  • Transformers 4.21.2
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1

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More Information About clinical-finetuned-data10 huggingface.co Model

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clinical-finetuned-data10 huggingface.co

clinical-finetuned-data10 huggingface.co is an AI model on huggingface.co that provides clinical-finetuned-data10's model effect (), which can be used instantly with this Dinithi clinical-finetuned-data10 model. huggingface.co supports a free trial of the clinical-finetuned-data10 model, and also provides paid use of the clinical-finetuned-data10. Support call clinical-finetuned-data10 model through api, including Node.js, Python, http.

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Dinithi clinical-finetuned-data10 online free

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clinical-finetuned-data10 install

clinical-finetuned-data10 is an open source model from GitHub that offers a free installation service, and any user can find clinical-finetuned-data10 on GitHub to install. At the same time, huggingface.co provides the effect of clinical-finetuned-data10 install, users can directly use clinical-finetuned-data10 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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