Ablation Study Results for Attention Heads in a ResNet34 CNN Module

A 5.5 KB Excel file containing results from ablation experiments for the number of attention heads. The dataset was authored by Bo Li and last updated on April 29, 2026. For a fair comparison, ResNet34 was used as the CNN module across all configurations.

Use Cases

• Analyzing the impact of attention head count on model performance based on the ablation experiment results.
• Benchmarking architectural components using a consistent ResNet34 CNN module as described.
• Comparing experimental configurations for neural network design decisions.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Experiments use a consistent ResNet34 CNN module, enabling a fair comparison as stated.
• Released under a permissive CC-BY-4.0 license.

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

figshare

Collection Method

Results from ablation experiments, likely from a research project.

Time Range

Publication date suggests work circa 2026.

Freshness

Last updated 2026-04-29 17:57:20; freshness should be verified.

Geography

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