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36 lines
951 B
Markdown
36 lines
951 B
Markdown
# GSM8K Accuracy Evaluation
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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.
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## Usage
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### Run tests with pytest (like buildkite)
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```bash
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pytest -s -v tests/gsm8k/test_gsm8k_correctness.py \
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--config-list-file=configs/models-small.txt \
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--tp-size=1
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```
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### Run standalone evaluation script
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```bash
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# Start vLLM server first
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vllm serve Qwen/Qwen2.5-1.5B-Instruct --port 8000
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# Run evaluation
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python tests/evals/gsm8k/gsm8k_eval.py --port 8000
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```
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## Configuration Format
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Model configs in `configs/` directory use this YAML format:
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```yaml
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model_name: "Qwen/Qwen2.5-1.5B-Instruct"
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accuracy_threshold: 0.54 # Minimum expected accuracy
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num_questions: 1319 # Number of questions (default: full test set)
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num_fewshot: 5 # Few-shot examples from train set
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max_model_len: 4096 # Model context length
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```
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