Ablation Experiment Results for Learning Rate and Optimizer Tuning

Bo Li published results from ablation experiments on learning rate tuning strategies and optimizer selection on figshare. The dataset is a 5.5 KB XLS file last updated on April 29, 2026. It is shared under a CC-BY-4.0 license.

Use Cases

• Comparing optimizer performance based on ablation experiment results
• Analyzing the impact of different learning rate tuning strategies
• Benchmarking hyperparameter configurations for model training

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Has a clear, permissive license (CC-BY-4.0) for 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

Bo Li via figshare

Collection Method

Results from ablation experiments.

Freshness

Last updated 2026-04-29 17:57:23; freshness should be verified.