Dinithi / AgitationTextV4

huggingface.co
Total runs: 21
24-hour runs: 0
7-day runs: 2
30-day runs: 16
Model's Last Updated: September 04 2022
text-classification

Introduction of AgitationTextV4

Model Details of AgitationTextV4

AgitationTextV4

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: 0.5320
  • Accuracy: 0.76
  • Precision: 0.8507
  • Recall: 0.8028
  • F1: 0.8261
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
0.6223 1.0 50 0.6247 0.66 0.7403 0.8028 0.7703
0.5431 2.0 100 0.5636 0.66 0.9302 0.5634 0.7018
0.4361 3.0 150 0.5346 0.7 0.8475 0.7042 0.7692
0.3617 4.0 200 0.5255 0.72 0.8413 0.7465 0.7910
0.2878 5.0 250 0.5009 0.74 0.8358 0.7887 0.8116
0.2282 6.0 300 0.5116 0.76 0.8615 0.7887 0.8235
0.1747 7.0 350 0.5235 0.75 0.8966 0.7324 0.8062
0.1454 8.0 400 0.5663 0.79 0.8472 0.8592 0.8531
0.125 9.0 450 0.5371 0.77 0.8529 0.8169 0.8345
0.1188 10.0 500 0.5320 0.76 0.8507 0.8028 0.8261
Framework versions
  • Transformers 4.21.2
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1

Runs of Dinithi AgitationTextV4 on huggingface.co

21
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0
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3-day runs
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7-day runs
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30-day runs

More Information About AgitationTextV4 huggingface.co Model

More AgitationTextV4 license Visit here:

https://choosealicense.com/licenses/mit

AgitationTextV4 huggingface.co

AgitationTextV4 huggingface.co is an AI model on huggingface.co that provides AgitationTextV4's model effect (), which can be used instantly with this Dinithi AgitationTextV4 model. huggingface.co supports a free trial of the AgitationTextV4 model, and also provides paid use of the AgitationTextV4. Support call AgitationTextV4 model through api, including Node.js, Python, http.

AgitationTextV4 huggingface.co Url

https://huggingface.co/Dinithi/AgitationTextV4

Dinithi AgitationTextV4 online free

AgitationTextV4 huggingface.co is an online trial and call api platform, which integrates AgitationTextV4's modeling effects, including api services, and provides a free online trial of AgitationTextV4, you can try AgitationTextV4 online for free by clicking the link below.

Dinithi AgitationTextV4 online free url in huggingface.co:

https://huggingface.co/Dinithi/AgitationTextV4

AgitationTextV4 install

AgitationTextV4 is an open source model from GitHub that offers a free installation service, and any user can find AgitationTextV4 on GitHub to install. At the same time, huggingface.co provides the effect of AgitationTextV4 install, users can directly use AgitationTextV4 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

AgitationTextV4 install url in huggingface.co:

https://huggingface.co/Dinithi/AgitationTextV4

Url of AgitationTextV4

AgitationTextV4 huggingface.co Url

Provider of AgitationTextV4 huggingface.co

Dinithi
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