update evaluator

src/llamafactory/eval/evaluator.py

@@ -26,9 +26,7 @@ class Evaluator:
         self.template = get_template_and_fix_tokenizer(self.tokenizer, self.data_args.template)
         self.model = load_model(self.tokenizer, self.model_args, finetuning_args)
         self.eval_template = get_eval_template(self.eval_args.lang)
-        self.choice_inputs = [
-            self.tokenizer.encode(self.eval_template.prefix + ch, add_special_tokens=False)[-1] for ch in CHOICES
-        ]
+        self.choice_inputs = [self.tokenizer.encode(ch, add_special_tokens=False)[-1] for ch in CHOICES]
 
     @torch.inference_mode()
     def batch_inference(self, batch_input: Dict[str, torch.Tensor]) -> List[str]:

src/llamafactory/eval/template.py

@@ -10,7 +10,6 @@ class EvalTemplate:
     system: str
     choice: str
     answer: str
-    prefix: str
 
     def _parse_example(self, example: Dict[str, str]) -> Tuple[str, str]:
         r"""
@@ -42,8 +41,8 @@ class EvalTemplate:
 eval_templates: Dict[str, "EvalTemplate"] = {}
 
 
-def _register_eval_template(name: str, system: str, choice: str, answer: str, prefix: str) -> None:
-    eval_templates[name] = EvalTemplate(system=system, choice=choice, answer=answer, prefix=prefix)
+def _register_eval_template(name: str, system: str, choice: str, answer: str) -> None:
+    eval_templates[name] = EvalTemplate(system=system, choice=choice, answer=answer)
 
 
 def get_eval_template(name: str) -> "EvalTemplate":
@@ -56,8 +55,7 @@ _register_eval_template(
     name="en",
     system="The following are multiple choice questions (with answers) about {subject}.\n\n",
     choice="\n{choice}. {content}",
-    answer="\nAnswer: ",
-    prefix=" ",
+    answer="\nAnswer:",
 )
 
 
@@ -66,5 +64,4 @@ _register_eval_template(
     system="以下是中国关于{subject}考试的单项选择题，请选出其中的正确答案。\n\n",
     choice="\n{choice}. {content}",
     answer="\n答案：",
-    prefix=" ",
 )

tests/eval/test_eval_template.py

@@ -0,0 +1,77 @@
+from llamafactory.eval.template import get_eval_template
+
+
+def test_eval_template_en():
+    support_set = [
+        {
+            "question": "Fewshot question",
+            "A": "Fewshot1",
+            "B": "Fewshot2",
+            "C": "Fewshot3",
+            "D": "Fewshot4",
+            "answer": "B",
+        }
+    ]
+    example = {
+        "question": "Target question",
+        "A": "Target1",
+        "B": "Target2",
+        "C": "Target3",
+        "D": "Target4",
+        "answer": "C",
+    }
+    template = get_eval_template(name="en")
+    messages = template.format_example(example, support_set=support_set, subject_name="SubName")
+    assert messages == [
+        {
+            "role": "user",
+            "content": (
+                "The following are multiple choice questions (with answers) about SubName.\n\n"
+                "Fewshot question\nA. Fewshot1\nB. Fewshot2\nC. Fewshot3\nD. Fewshot4\nAnswer:"
+            ),
+        },
+        {"role": "assistant", "content": "B"},
+        {
+            "role": "user",
+            "content": "Target question\nA. Target1\nB. Target2\nC. Target3\nD. Target4\nAnswer:",
+        },
+        {"role": "assistant", "content": "C"},
+    ]
+
+
+def test_eval_template_zh():
+    support_set = [
+        {
+            "question": "示例问题",
+            "A": "示例答案1",
+            "B": "示例答案2",
+            "C": "示例答案3",
+            "D": "示例答案4",
+            "answer": "B",
+        }
+    ]
+    example = {
+        "question": "目标问题",
+        "A": "目标答案1",
+        "B": "目标答案2",
+        "C": "目标答案3",
+        "D": "目标答案4",
+        "answer": "C",
+    }
+    template = get_eval_template(name="zh")
+    messages = template.format_example(example, support_set=support_set, subject_name="主题")
+    assert messages == [
+        {
+            "role": "user",
+            "content": (
+                "以下是中国关于主题考试的单项选择题，请选出其中的正确答案。\n\n"
+                "示例问题\nA. 示例答案1\nB. 示例答案2\nC. 示例答案3\nD. 示例答案4\n答案："
+            ),
+        },
+        {"role": "assistant", "content": "B"},
+        {
+            "role": "user",
+            "content": "目标问题\nA. 目标答案1\nB. 目标答案2\nC. 目标答案3\nD. 目标答案4\n答案：",
+        },
+        {"role": "assistant", "content": "C"},
+    ]