update docs (#5180)

* update codes for senta benchmark

PaddleNLP/examples/text_classification/pretrained_models/predict.py

@@ -129,7 +129,7 @@ def predict(model, data, tokenizer, label_map, batch_size=1):
     examples = []
     for text in data:
         input_ids, segment_ids = convert_example(
-            [text],
+            text,
             tokenizer,
             label_list=label_map.values(),
             max_seq_length=args.max_seq_length,

PaddleNLP/examples/text_classification/rnn/README.md

@@ -153,13 +153,13 @@ wget https://paddlenlp.bj.bcebos.com/data/senta_word_dict.txt
 CPU 启动：
 
 ```shell
-python train.py --vocab_path='./senta_word_dict.txt' --use_gpu=False --network=bilstm --lr=5e-4 --batch_size=64 --epochs=5 --save_dir='./checkpoints'
+python train.py --vocab_path='./senta_word_dict.txt' --use_gpu=False --network=bilstm --lr=5e-4 --batch_size=64 --epochs=10 --save_dir='./checkpoints'
 ```
 
 GPU 启动：
 
 ```shell
-# CUDA_VISIBLE_DEVICES=0 python train.py --vocab_path='./senta_word_dict.txt' --use_gpu=True --network=bilstm --lr=5e-4 --batch_size=64 --epochs=5 --save_dir='./checkpoints'
+CUDA_VISIBLE_DEVICES=0 python train.py --vocab_path='./senta_word_dict.txt' --use_gpu=True --network=bilstm --lr=5e-4 --batch_size=64 --epochs=10 --save_dir='./checkpoints'
 ```
 
 以上参数表示：

PaddleNLP/examples/text_classification/rnn/train.py

@@ -160,10 +160,12 @@ if __name__ == "__main__":
         print("Loaded checkpoint from %s" % args.init_from_ckpt)
 
     # Starts training and evaluating.
+    callback = paddle.callbacks.ProgBarLogger(log_freq=10, verbose=3)
     model.fit(train_loader,
               dev_loader,
               epochs=args.epochs,
-              save_dir=args.save_dir)
+              save_dir=args.save_dir,
+              callbacks=callback)
 
     # Finally tests model.
     results = model.evaluate(test_loader)