evaloator: take min bootstrap steps for blue/chrf/ter

lm_eval/evaluator.py

@@ -95,7 +95,7 @@ def evaluate(lm, task_dict, provide_description, num_fewshot, limit, bootstrap_i
 
         # hotfix: bleu, chrf, ter seem to be really expensive to bootstrap
         # so we run them less iterations. still looking for a cleaner way to do this
-        stderr = lm_eval.metrics.stderr_for_metric(task.aggregation()[metric], bootstrap_iters=1000 if metric in ["bleu", "chrf", "ter"] else bootstrap_iters)
+        stderr = lm_eval.metrics.stderr_for_metric(task.aggregation()[metric], bootstrap_iters=min(bootstrap_iters, 1000) if metric in ["bleu", "chrf", "ter"] else bootstrap_iters)
         if stderr is not None:
             results[task_name][metric + "_stderr"] = stderr(items)