Hyperparameter Tuning Overview for Transfer Learning and Fine-Tuning

5.5 KB Excel file provides an overview of hyperparameters used for tuning machine learning models. The dataset, created by Max Wiedemann, was last updated on May 5, 2026. It specifically references hyperparameters for transfer learning (TL) and fine-tuning (FT) workflows.

Use Cases

• Compare hyperparameter configurations for transfer learning based on the overview.
• Design hyperparameter search spaces for fine-tuning based on the listed parameters.
• Reference common hyperparameter settings for model adaptation workflows mentioned in the description.

Strengths

• Dataset is small (5.5 KB), enabling quick download and inspection.
• Released under a permissive CC-BY-4.0 license, allowing for broad reuse.

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

Max Wiedemann via figshare

Freshness

Last updated 2026-05-05 17:31:01; freshness should be verified.