Update README.md

README.md

@@ -36,17 +36,17 @@ dataset = load_dataset("qbao775/PARARULE-Plus-Depth-5")
 You can follow the `text-classification` [example code](https://github.com/huggingface/transformers/tree/main/examples/pytorch/text-classification#text-classification-examples) from huggingface.
 
 Here is a script to run the code. You can change the model name if you want.
+
 ```
 python run_glue_no_trainer.py \
-  --model_name_or_path bert-base-cased \
-  --task_name qbao775/PARARULE-Plus-Depth-5 \
-  --do_train \
-  --do_eval \
-  --max_seq_length 128 \
-  --per_device_train_batch_size 32 \
-  --learning_rate 2e-5 \
-  --num_train_epochs 3 \
-  --output_dir /tmp/PARARULE-Plus-Depth-5/
+ --seed 42 \
+ --model_name_or_path bert-base-cased \
+ --task_name qbao775/PARARULE-Plus-Depth-5 \
+ --max_length 256 \
+ --per_device_train_batch_size 32 \
+ --learning_rate 2e-5 \
+ --num_train_epochs 10 \
+ --output_dir /tmp/PARARULE-Plus-Depth-5/
 ```
 
 ## Citation