diff --git a/model_zoo/research/nlp/textrcnn/eval.py b/model_zoo/research/nlp/textrcnn/eval.py
index f36a5473bb0..cb36f70891a 100644
--- a/model_zoo/research/nlp/textrcnn/eval.py
+++ b/model_zoo/research/nlp/textrcnn/eval.py
@@ -48,12 +48,13 @@ if __name__ == '__main__':
     network = textrcnn(weight=Tensor(embedding_table), vocab_size=embedding_table.shape[0],
                        cell=cfg.cell, batch_size=cfg.batch_size)
     loss = nn.SoftmaxCrossEntropyWithLogits(sparse=True)
+    eval_net = nn.WithEvalCell(network, loss, True)
     loss_cb = LossMonitor()
     print("============== Starting Testing ==============")
     ds_eval = create_dataset(cfg.preprocess_path, cfg.batch_size, False)
     param_dict = load_checkpoint(args.ckpt_path)
     load_param_into_net(network, param_dict)
     network.set_train(False)
-    model = Model(network, loss, metrics={'acc': Accuracy()}, amp_level='O3')
+    model = Model(network, loss, metrics={'acc': Accuracy()}, eval_network=eval_net, eval_indexes=[0, 1, 2])
     acc = model.eval(ds_eval, dataset_sink_mode=False)
     print("============== Accuracy:{} ==============".format(acc))