GSM8K Accuracy Evaluation
This directory contains a replacement for the lm-eval-harness GSM8K evaluation, using an isolated GSM8K script and vLLM server for better performance and control.
Usage
Run tests with pytest (like buildkite)
pytest -s -v tests/gsm8k/test_gsm8k_correctness.py \
--config-list-file=configs/models-small.txt \
--tp-size=1
Run standalone evaluation script
# Start vLLM server first
vllm serve Qwen/Qwen2.5-1.5B-Instruct --port 8000
# Run evaluation
python tests/gsm8k/gsm8k_eval.py --port 8000
Configuration Format
Model configs in configs/ directory use this YAML format:
model_name: "Qwen/Qwen2.5-1.5B-Instruct"
accuracy_threshold: 0.54 # Minimum expected accuracy
num_questions: 1319 # Number of questions (default: full test set)
num_fewshot: 5 # Few-shot examples from train set
max_model_len: 4096 # Model context length