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GET
Get Evaluation Results

Authorizations

Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Path Parameters

evaluation_id
string
required

Response

Returns detailed evaluation metrics and scores for a completed evaluation. This endpoint provides comprehensive results for a finished evaluation, including all relevant metrics, scores, and comparison data if applicable. Use this to analyze the performance of the evaluated model(s) against the benchmark once the evaluation is complete.

evaluation_id
string
required

Unique identifier for the evaluation

Example:

"eval-def456"

model_id
string
required

ID of the model that was evaluated

Example:

"model-xyz789"

benchmark_id
string
required

Benchmark ID used

Example:

"benchmark-abc123"

status
string
required

Evaluation status

Example:

"READY"

raw_answers_count
integer
required

Number of raw answers generated; read metric means relative to this size

Example:

100

completed_at
string
required

ISO timestamp when evaluation completed

Example:

"2024-02-24T10:05:00Z"

metrics
Metrics · object | null

Metric names and scores. binary_correctness_mean is the fraction of answers whose key facts match the benchmark's ideal answer (0 to 1). answer_relevance_mean rates how relevant each answer is to its question (0 to 1) and ignores correctness; read the pair together. The metric set evolves with our evaluation research.

method
string | null

Evaluation method: 'eval' or 'eval-compare'

Example:

"eval-compare"

baseline_model_id
string | null

ID of baseline model (for comparison)

Example:

"model-def456"

base_model
Base Model · object | null

Base model results (comparison mode)

Example:

"qwen-v2p5-0p5b-instruct"

eval_model
Eval Model · object | null

Eval model results (comparison mode)

Example:
comparison
Comparison · object | null

Comparison results between models

Example: