diff --git a/configs/textrecog/nrtr/nrtr_modality_transform_academic.py b/configs/textrecog/nrtr/nrtr_modality_transform_academic.py
index d564b24b..5c181143 100644
--- a/configs/textrecog/nrtr/nrtr_modality_transform_academic.py
+++ b/configs/textrecog/nrtr/nrtr_modality_transform_academic.py
@@ -6,7 +6,7 @@ _base_ = [
 ]
 
 # optimizer settings
-optimizer = dict(type='Adam', lr=3e-4)
+optim_wrapper = dict(type='OptimWrapper', optimizer=dict(type='Adam', lr=3e-4))
 
 # dataset settings
 train_list = {{_base_.train_list}}
@@ -15,7 +15,11 @@ file_client_args = dict(backend='disk')
 default_hooks = dict(logger=dict(type='LoggerHook', interval=50), )
 
 train_pipeline = [
-    dict(type='LoadImageFromFile', file_client_args=file_client_args),
+    dict(
+        type='LoadImageFromFile',
+        file_client_args=file_client_args,
+        ignore_empty=True,
+        min_size=5),
     dict(type='LoadOCRAnnotations', with_text=True),
     dict(
         type='RescaleToHeight',
diff --git a/configs/textrecog/nrtr/nrtr_r31_1by16_1by8_academic.py b/configs/textrecog/nrtr/nrtr_r31_1by16_1by8_academic.py
index d80fb96d..53a93c97 100644
--- a/configs/textrecog/nrtr/nrtr_r31_1by16_1by8_academic.py
+++ b/configs/textrecog/nrtr/nrtr_r31_1by16_1by8_academic.py
@@ -6,7 +6,7 @@ _base_ = [
 ]
 
 # optimizer settings
-optimizer = dict(type='Adam', lr=3e-4)
+optim_wrapper = dict(type='OptimWrapper', optimizer=dict(type='Adam', lr=3e-4))
 
 # dataset settings
 train_list = {{_base_.train_list}}
@@ -15,7 +15,11 @@ file_client_args = dict(backend='disk')
 default_hooks = dict(logger=dict(type='LoggerHook', interval=50))
 
 train_pipeline = [
-    dict(type='LoadImageFromFile', file_client_args=file_client_args),
+    dict(
+        type='LoadImageFromFile',
+        file_client_args=file_client_args,
+        ignore_empty=True,
+        min_size=5),
     dict(type='LoadOCRAnnotations', with_text=True),
     dict(
         type='RescaleToHeight',
@@ -46,7 +50,7 @@ test_pipeline = [
 
 train_dataloader = dict(
     batch_size=384,
-    num_workers=32,
+    num_workers=24,
     persistent_workers=True,
     sampler=dict(type='DefaultSampler', shuffle=True),
     dataset=dict(
diff --git a/configs/textrecog/nrtr/nrtr_r31_1by8_1by4_academic.py b/configs/textrecog/nrtr/nrtr_r31_1by8_1by4_academic.py
index bb180134..e66f2927 100644
--- a/configs/textrecog/nrtr/nrtr_r31_1by8_1by4_academic.py
+++ b/configs/textrecog/nrtr/nrtr_r31_1by8_1by4_academic.py
@@ -6,7 +6,7 @@ _base_ = [
 ]
 
 # optimizer settings
-optimizer = dict(type='Adam', lr=3e-4)
+optim_wrapper = dict(type='OptimWrapper', optimizer=dict(type='Adam', lr=3e-4))
 
 # dataset settings
 train_list = {{_base_.train_list}}
@@ -17,7 +17,11 @@ default_hooks = dict(logger=dict(type='LoggerHook', interval=50), )
 model = dict(backbone=dict(last_stage_pool=False))
 
 train_pipeline = [
-    dict(type='LoadImageFromFile', file_client_args=file_client_args),
+    dict(
+        type='LoadImageFromFile',
+        file_client_args=file_client_args,
+        ignore_empty=True,
+        min_size=5),
     dict(type='LoadOCRAnnotations', with_text=True),
     dict(
         type='RescaleToHeight',