src/assets/hardcoded_evals.py

from src.display_models.utils import AutoEvalColumn, model_hyperlink

gpt4_values = {
    AutoEvalColumn.model.name: model_hyperlink("https://arxiv.org/abs/2303.08774", "gpt4"),
    AutoEvalColumn.revision.name: "tech report",
    AutoEvalColumn.precision.name: None,
    AutoEvalColumn.average.name: 84.3,
    AutoEvalColumn.arc.name: 96.3,
    AutoEvalColumn.hellaswag.name: 95.3,
    AutoEvalColumn.mmlu.name: 86.4,
    AutoEvalColumn.truthfulqa.name: 59.0,
    AutoEvalColumn.dummy.name: "GPT-4",
    AutoEvalColumn.model_type.name: "",
}

gpt35_values = {
    AutoEvalColumn.model.name: model_hyperlink("https://arxiv.org/abs/2303.08774", "gpt3.5"),
    AutoEvalColumn.revision.name: "tech report",
    AutoEvalColumn.precision.name: None,
    AutoEvalColumn.average.name: 71.9,
    AutoEvalColumn.arc.name: 85.2,
    AutoEvalColumn.hellaswag.name: 85.5,
    AutoEvalColumn.mmlu.name: 70.0,
    AutoEvalColumn.truthfulqa.name: 47.0,
    AutoEvalColumn.dummy.name: "GPT-3.5",
    AutoEvalColumn.model_type.name: "",
}

baseline = {
    AutoEvalColumn.model.name: "<p>Baseline</p>",
    AutoEvalColumn.revision.name: "N/A",
    AutoEvalColumn.precision.name: None,
    AutoEvalColumn.average.name: 25.0,
    AutoEvalColumn.arc.name: 25.0,
    AutoEvalColumn.hellaswag.name: 25.0,
    AutoEvalColumn.mmlu.name: 25.0,
    AutoEvalColumn.truthfulqa.name: 25.0,
    AutoEvalColumn.dummy.name: "baseline",
    AutoEvalColumn.model_type.name: "",
}