Model Evaluation Metrics

➺ Core Matrics:

  • Perplexity scores
  • BLEU/ROUGE metrics
  • Embedding similarity
  • Response latency 

    • ➺Technical Implementation:

  • Accuracy Metrics
  • Token prediction accuracy
  • Next sentence prediction
  • Semantic similarity scores
  • Cross-entropy loss

    • ➺ Performance Metrics:

  • Inference time
  • Memory usage
  • Throughput
  • GPU utilization 

    • ➺ Statistical Analysis:

  • Confidence intervals
  • Error margins
  • Distribution analysis
  • Outlier detection

    • ➺ Benchmark Suites:

  • GLUE/SuperGLUE
  • HELM benchmarks
  • Custom test sets
  • Industry standards