Update README.md

README.md

@@ -167,6 +167,8 @@ You can easily use [FlexEval](https://github.com/sbintuitions/flexeval) (version
 to evaluate the JamC-QA score by simply replacing `commonsense_qa` with `jamcqa` in the
 [Quickstart](https://github.com/sbintuitions/flexeval?tab=readme-ov-file#quick-start) guide.
 
+### Run Command
+
 ```python
 flexeval_lm \
   --language_model HuggingFaceLM \
@@ -180,6 +182,18 @@ flexeval_lm \
 [greedy search](https://huggingface.co/docs/transformers/generation_strategies#greedy-search).
 
 
+### Output
+
+The expected output is as follows:
+
+```
+2025-09-03 15:48:24.633 | INFO     | flexeval.core.evaluate_generation:evaluate_generation:92 - {'exact_match': 0.2368990905153746, 'finish_reason_ratio-stop': 1.0, 'avg_output_length': 6.94283239497618, 'max_output_length': 93, 'min_output_length': 2}
+2025-09-03 15:48:24.666 | INFO     | flexeval.scripts.flexeval_lm:main:191 - Elapsed time: 247.23 sec
+2025-09-03 15:48:24.670 | INFO     | flexeval.core.result_recorder.local_recorder:record_metrics:84 - Saved the metrics to results/jamcqa/metrics.json
+2025-09-03 15:48:24.724 | INFO     | flexeval.core.result_recorder.local_recorder:record_model_outputs:95 - Saved the outputs to results/jamcqa/outputs.jsonl
+2025-09-03 15:48:24.896 | INFO     | flexeval.core.language_model.hf_lm:cleanup_resources:557 - Cleaning up CUDA resources...
+```
+
 # Citation Information
 ```
 @inproceedings{Oka2025,