diff --git a/src/llmtuner/dsets/preprocess.py b/src/llmtuner/dsets/preprocess.py
index dc01a77d..d2150dbc 100644
--- a/src/llmtuner/dsets/preprocess.py
+++ b/src/llmtuner/dsets/preprocess.py
@@ -103,13 +103,13 @@ def preprocess_dataset(
 
             if len(source_ids) > data_args.max_source_length:
                 source_ids = source_ids[:data_args.max_source_length]
-            if len(accept_ids) > data_args.max_target_length - 1: # eos token
+            if len(accept_ids) > data_args.max_target_length:
                 accept_ids = accept_ids[:data_args.max_target_length - 1]
-            if len(reject_ids) > data_args.max_target_length - 1: # eos token
+            if len(reject_ids) > data_args.max_target_length:
                 reject_ids = reject_ids[:data_args.max_target_length - 1]
 
-            accept_ids = source_ids + accept_ids + [tokenizer.eos_token_id]
-            reject_ids = source_ids + reject_ids + [tokenizer.eos_token_id]
+            accept_ids = source_ids + accept_ids
+            reject_ids = source_ids + reject_ids
 
             model_inputs["accept_ids"].append(accept_ids)
             model_inputs["reject_ids"].append(reject_ids)
diff --git a/src/llmtuner/extras/template.py b/src/llmtuner/extras/template.py
index 5f120253..5b00af03 100644
--- a/src/llmtuner/extras/template.py
+++ b/src/llmtuner/extras/template.py
@@ -388,12 +388,9 @@ register_template(
     name="intern",
     prefix=[],
     prompt=[
-        {"token": "<|User|>"},
-        ":{{query}}",
+        "<|User|>:{{query}}",
         {"token": "<eoh>"},
-        "\n",
-        {"token": "<|Bot|>"},
-        ":"
+        "\n<|Bot|>:"
     ],
     sep=[
         "\n"
diff --git a/src/llmtuner/webui/runner.py b/src/llmtuner/webui/runner.py
index 53c18828..763ff614 100644
--- a/src/llmtuner/webui/runner.py
+++ b/src/llmtuner/webui/runner.py
@@ -156,7 +156,7 @@ class Runner:
             else:
                 yield format_info(logger_handler.log, trainer_callback)
 
-        if os.path.exists(os.path.join(output_dir), TRAINING_ARGS_NAME):
+        if os.path.exists(os.path.join(output_dir, TRAINING_ARGS_NAME)):
             finish_info = ALERTS["info_finished"][lang]
         else:
             finish_info = ALERTS["err_failed"][lang]