Update README.md

README.md

@@ -1,7 +1,7 @@
 ---
 language: zh
 widget: 
-- text: "北京上个月召开了两会"
+- text: "这本书真的很不错"
 
 ---
 
@@ -48,8 +48,7 @@ python3 run_classifier.py --pretrained_model_path models/cluecorpussmall_roberta
                           --train_path datasets/glyph/chinanews/train.tsv \
                           --dev_path datasets/glyph/chinanews/dev.tsv \
                           --output_model_path models/chinanews_classifier_model.bin \
-                          --learning_rate 3e-5 --batch_size 32 --epochs_num 3 --seq_length 512 \
-                          --embedding word_pos_seg --encoder transformer --mask fully_visible
+                          --learning_rate 3e-5 --epochs_num 3 --batch_size 32 --seq_length 512
 ```
 
 Finally, we convert the pre-trained model into Huggingface's format: