Dinithi / ClinicalBioBERT

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7-day runs: 1
30-day runs: 14
Model's Last Updated: September 04 2022
text-classification

Introduction of ClinicalBioBERT

Model Details of ClinicalBioBERT

ClinicalBioBERT

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: 0.9404
  • Accuracy: 0.77
  • Precision: 0.8333
  • Recall: 0.8209
  • F1: 0.8271
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
  • 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
0.693 1.0 50 0.6142 0.61 0.8182 0.5373 0.6486
0.5547 2.0 100 0.5753 0.66 0.8367 0.6119 0.7069
0.3912 3.0 150 0.5167 0.8 0.8406 0.8657 0.8529
0.2618 4.0 200 0.6664 0.8 0.8133 0.9104 0.8592
0.1648 5.0 250 0.5954 0.79 0.8594 0.8209 0.8397
0.1446 6.0 300 0.6131 0.81 0.8871 0.8209 0.8527
0.0841 7.0 350 0.8966 0.79 0.8194 0.8806 0.8489
0.0708 8.0 400 0.9366 0.78 0.8169 0.8657 0.8406
0.049 9.0 450 0.9523 0.78 0.8358 0.8358 0.8358
0.0516 10.0 500 0.9404 0.77 0.8333 0.8209 0.8271
Framework versions
  • Transformers 4.21.2
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1

Runs of Dinithi ClinicalBioBERT on huggingface.co

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More Information About ClinicalBioBERT huggingface.co Model

More ClinicalBioBERT license Visit here:

https://choosealicense.com/licenses/mit

ClinicalBioBERT huggingface.co

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

ClinicalBioBERT huggingface.co Url

https://huggingface.co/Dinithi/ClinicalBioBERT

Dinithi ClinicalBioBERT online free

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

Dinithi ClinicalBioBERT online free url in huggingface.co:

https://huggingface.co/Dinithi/ClinicalBioBERT

ClinicalBioBERT install

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

ClinicalBioBERT install url in huggingface.co:

https://huggingface.co/Dinithi/ClinicalBioBERT

Url of ClinicalBioBERT

ClinicalBioBERT huggingface.co Url

Provider of ClinicalBioBERT huggingface.co

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