Hyperparameter Tuning Overview for Transfer Learning and Fine-Tuning

An overview of hyperparameters used for hyperparameter tuning in machine learning, specifically for transfer learning (TL) and fine-tuning (FT). The dataset was created by Christopher Mai and is available under a CC-BY-4.0 license. It was last updated on May 29, 2026.

Use Cases

• Compare hyperparameter settings for transfer learning based on the overview.
• Reference hyperparameter values for fine-tuning models based on the description.
• Structure hyperparameter search spaces for experiments based on the listed parameters.

Strengths

• File size is 5.5 KB, indicating a concise and focused reference.
• License is CC-BY-4.0, allowing for broad reuse and modification.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Christopher Mai via figshare

Freshness

Last updated 2026-05-29 17:30:01; freshness should be verified.