EfficientNetV2 Fine-Tuning Metrics for Solar Panel Maintenance

Training and validation metrics for EfficientNetV2 models at the best epoch, based on minimum validation loss. The dataset was created by Montaser Abdelsattar and is available under a CC-BY-4.0 license. It was last updated on April 3, 2026.

Use Cases

• Compare model performance metrics like validation accuracy and loss across different EfficientNetV2 architectures.
• Analyze the relationship between training and validation metrics during the fine-tuning stage.
• Benchmark precision and recall for computer vision tasks related to solar panel maintenance.
• Study the impact of fine-tuning on model metrics for preventive maintenance applications.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• License is clearly defined as CC-BY-4.0, allowing for reuse with attribution.
• Update timestamp is precise (2026-04-03 17:48:40).

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

Montaser Abdelsattar

Collection Method

Likely contains metrics generated from a model fine-tuning experiment.

Time Range

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Freshness

Last updated 2026-04-03 17:48:40; freshness should be verified.

Geography

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