diff --git a/fastNLP/core/__init__.py b/fastNLP/core/__init__.py
index 300a342f..28479b05 100644
--- a/fastNLP/core/__init__.py
+++ b/fastNLP/core/__init__.py
@@ -7,6 +7,7 @@ __all__ = [
     'ProgressCallback',
     'RichCallback',
     'TqdmCallback',
+    'RawTextCallback',
     "LRSchedCallback",
     'LoadBestModelCallback',
     "EarlyStopCallback",
diff --git a/fastNLP/core/callbacks/__init__.py b/fastNLP/core/callbacks/__init__.py
index d1f19b96..feff9f9b 100644
--- a/fastNLP/core/callbacks/__init__.py
+++ b/fastNLP/core/callbacks/__init__.py
@@ -8,6 +8,7 @@ __all__ = [
     'ProgressCallback',
     'RichCallback',
     'TqdmCallback',
+    'RawTextCallback',
 
     "LRSchedCallback",
     'LoadBestModelCallback',
@@ -31,7 +32,7 @@ from .callback import Callback
 from .callback_event import Event, Filter
 from .callback_manager import CallbackManager
 from .checkpoint_callback import CheckpointCallback
-from .progress_callback import choose_progress_callback, ProgressCallback, RichCallback, TqdmCallback
+from .progress_callback import choose_progress_callback, ProgressCallback, RichCallback, TqdmCallback, RawTextCallback
 from .lr_scheduler_callback import LRSchedCallback
 from .load_best_model_callback import LoadBestModelCallback
 from .early_stop_callback import EarlyStopCallback
diff --git a/fastNLP/core/callbacks/progress_callback.py b/fastNLP/core/callbacks/progress_callback.py
index 681ea4d3..eda0f564 100644
--- a/fastNLP/core/callbacks/progress_callback.py
+++ b/fastNLP/core/callbacks/progress_callback.py
@@ -5,7 +5,8 @@ __all__ = [
     'choose_progress_callback',
     'ProgressCallback',
     'RichCallback',
-    'TqdmCallback'
+    'TqdmCallback',
+    'RawTextCallback'
 ]
 
 
diff --git a/fastNLP/core/controllers/trainer.py b/fastNLP/core/controllers/trainer.py
index ac934bd7..8a0b25ac 100644
--- a/fastNLP/core/controllers/trainer.py
+++ b/fastNLP/core/controllers/trainer.py
@@ -36,6 +36,7 @@ from fastNLP.core.log import logger
 from fastNLP.envs import FASTNLP_MODEL_FILENAME, FASTNLP_CHECKPOINT_FILENAME
 from fastNLP.core.utils.exceptions import EarlyStopException
 from fastNLP.core.dataloaders import OverfitDataLoader
+from fastNLP.core.callbacks.progress_callback import ProgressCallback
 
 
 class Trainer(TrainerEventTrigger):
@@ -554,15 +555,16 @@ class Trainer(TrainerEventTrigger):
                 evaluate_dataloaders = self.dataloader
             if evaluate_dataloaders is not None:
                 check_evaluate_every(evaluate_every)
-                progress_bar = kwargs.get('progress_bar', 'auto')  # 如果不为
-                if not (isinstance(progress_bar, str) or progress_bar is None): # 应该是ProgressCallback，获取其名称。
-                    progress_bar = progress_bar.name
+                progress_bar_name = None
+                for callback in self.callback_manager.class_callbacks:
+                    if isinstance(callback, ProgressCallback):
+                        progress_bar_name = callback.name
                 self.evaluator = Evaluator(model=model, dataloaders=evaluate_dataloaders, metrics=metrics,
                                            driver=self.driver, evaluate_batch_step_fn=evaluate_batch_step_fn,
                                            evaluate_fn=evaluate_fn, input_mapping=evaluate_input_mapping,
                                            output_mapping=evaluate_output_mapping, fp16=fp16, verbose=0,
                                            use_dist_sampler=kwargs.get("evaluate_use_dist_sampler", use_dist_sampler),
-                                           progress_bar=progress_bar,
+                                           progress_bar=progress_bar_name,
                                            check_dataloader_legality=kwargs.get('check_dataloader_legality', True))
             else:
                 raise ValueError("You have set 'evaluate_dataloaders' but forget to set 'metrics'.")