test: relax GLM Automodel token mismatch check

Signed-off-by: Zhaopeng Qiu <alexq@nvidia.com>

Author: zpqiu

tests/test_suites/llm/grpo-glm47-flash-4n8g-automodel.sh

@@ -33,9 +33,11 @@ uv run tests/json_dump_tb_logs.py $LOG_DIR --output_path $JSON_METRICS
 
 # Only run metrics if the target step is reached
 if [[ $(jq 'to_entries | .[] | select(.key == "train/loss") | .value | keys | map(tonumber) | max' $JSON_METRICS) -ge $MAX_STEPS ]]; then
+    # The step-30 token_mult_prob_error check has high tail variance in this
+    # test; gen_kl_error below already measures policy/generation mismatch.
+    #   'data["train/token_mult_prob_error"]["30"] < 1.1'
     uv run tests/check_metrics.py $JSON_METRICS \
         'median(data["train/token_mult_prob_error"]) < 1.1' \
-        'data["train/token_mult_prob_error"]["30"] < 1.1' \
         'mean(data["train/gen_kl_error"]) < 0.01' \
         'data["train/reward"]["30"] > 0.3' \
         'max(data["validation/accuracy"]) > 0.2' \