Dinithi / ClinicalTextV4

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Model's Last Updated: September 04 2022
text-classification

Introduction of ClinicalTextV4

Model Details of ClinicalTextV4

ClinicalTextV4

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: 0.5609
  • Accuracy: 0.8658
  • Precision: 0.8371
  • Recall: 0.8939
  • F1: 0.8646
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
0.4824 1.0 600 0.3630 0.8458 0.825 0.8609 0.8426
0.3314 2.0 1200 0.3583 0.8558 0.8252 0.8870 0.8550
0.2673 3.0 1800 0.3437 0.8583 0.8189 0.9043 0.8595
0.2255 4.0 2400 0.3678 0.8675 0.8302 0.9096 0.8680
0.1883 5.0 3000 0.4002 0.8642 0.8259 0.9078 0.8650
0.1562 6.0 3600 0.4695 0.8633 0.8352 0.8904 0.8620
0.1372 7.0 4200 0.4940 0.8658 0.8371 0.8939 0.8646
0.1269 8.0 4800 0.5376 0.865 0.8402 0.8870 0.8629
0.1097 9.0 5400 0.5539 0.8633 0.8397 0.8835 0.8610
0.0997 10.0 6000 0.5609 0.8658 0.8371 0.8939 0.8646
Framework versions
  • Transformers 4.21.2
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1

Runs of Dinithi ClinicalTextV4 on huggingface.co

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More Information About ClinicalTextV4 huggingface.co Model

More ClinicalTextV4 license Visit here:

https://choosealicense.com/licenses/mit

ClinicalTextV4 huggingface.co

ClinicalTextV4 huggingface.co is an AI model on huggingface.co that provides ClinicalTextV4's model effect (), which can be used instantly with this Dinithi ClinicalTextV4 model. huggingface.co supports a free trial of the ClinicalTextV4 model, and also provides paid use of the ClinicalTextV4. Support call ClinicalTextV4 model through api, including Node.js, Python, http.

ClinicalTextV4 huggingface.co Url

https://huggingface.co/Dinithi/ClinicalTextV4

Dinithi ClinicalTextV4 online free

ClinicalTextV4 huggingface.co is an online trial and call api platform, which integrates ClinicalTextV4's modeling effects, including api services, and provides a free online trial of ClinicalTextV4, you can try ClinicalTextV4 online for free by clicking the link below.

Dinithi ClinicalTextV4 online free url in huggingface.co:

https://huggingface.co/Dinithi/ClinicalTextV4

ClinicalTextV4 install

ClinicalTextV4 is an open source model from GitHub that offers a free installation service, and any user can find ClinicalTextV4 on GitHub to install. At the same time, huggingface.co provides the effect of ClinicalTextV4 install, users can directly use ClinicalTextV4 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

ClinicalTextV4 install url in huggingface.co:

https://huggingface.co/Dinithi/ClinicalTextV4

Url of ClinicalTextV4

ClinicalTextV4 huggingface.co Url

Provider of ClinicalTextV4 huggingface.co

Dinithi
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