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Benchmark Operations

Learn how to execute benchmarks, view results, compare benchmarks, and check consistency.

Executing Benchmarks​

Execute benchmarks to evaluate models:

Execution Process:

  1. Select Benchmark: Choose benchmark to execute
  2. Select Model: Choose model/checkpoint to evaluate
  3. Start Evaluation: Start benchmark execution
  4. Monitor Progress: Track evaluation progress
  5. View Results: Review evaluation results

Execution Options:

  • Single Model: Evaluate one model
  • Multiple Models: Evaluate multiple models
  • Batch Evaluation: Evaluate multiple models in batch
  • Scheduled Evaluation: Schedule automatic evaluation

Execution Status:

  • Running: Evaluation in progress
  • Completed: Evaluation completed successfully
  • Failed: Evaluation failed
  • Pending: Evaluation queued

Viewing Results​

View benchmark evaluation results:

Result Information:

  • Model Performance: Performance metrics for the model
  • Metric Values: Values for each configured metric
  • Comparison: Comparison with other models
  • Trends: Performance trends over time

Result Visualization:

  • Metric Tables: Tabular view of metrics
  • Charts: Visual charts for metrics
  • Comparisons: Side-by-side comparisons
  • Trends: Trend analysis over time

Comparing Benchmarks​

Compare results across different models:

Comparison Features:

  • Side-by-Side: Compare multiple models
  • Metric Comparison: Compare specific metrics
  • Ranking: Rank models by performance
  • Best Model: Identify best performing model

Comparison Views:

  • Table View: Tabular comparison
  • Chart View: Visual comparison
  • Summary View: Summary comparison
  • Detailed View: Detailed metric comparison

Benchmark Consistency Checking​

Ensure benchmark consistency:

Consistency Checks:

  • Dataset Validation: Verify datasets haven't changed
  • Schema Validation: Check schema consistency
  • Feature Validation: Verify feature consistency
  • Partition Validation: Check partition consistency

Consistency Indicators:

  • Consistent: Benchmark is consistent
  • Warning: Some inconsistencies detected
  • Inconsistent: Significant inconsistencies

Consistency Benefits:

  • Fair model comparison
  • Reproducible results
  • Reliable performance tracking
  • Valid performance trends

Next Steps​