Factual package intelligence from PyPI

bertuner 0.2.0 package intelligence

Hyperparameter optimization and fine-tuning for BERT-style text classifiers (Optuna + MLflow), with long-context ModernBERT support

pip install bertuner

Current version
0.2.0
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
63.1 KiB
Release history
4 releases with files
Median release cadence
1 days

bertuner dependencies

PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=2.0
  2. transformers >=4.48
  3. numpy >=1.24
  4. pandas >=2.0
  5. matplotlib >=3.7
  6. scikit-learn >=1.3
  7. optuna >=3.0
  8. mlflow >=2.9
  9. datasets >=2.14
  10. tensorboard >=2.15
  11. accelerate >=0.26
  12. sentencepiece >=0.1.99

Compatibility and release files

bertuner publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for bertuner 0.2.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .