Update README.md

README.md

@@ -28,6 +28,7 @@ metrics:
 
 
 微调：
+
     import numpy as np
     from transformers import AutoModelForSeq2SeqLM, Seq2SeqTrainingArguments, Seq2SeqTrainer
     import torch
@@ -71,9 +72,9 @@ metrics:
         result["gen_len"] = np.mean(prediction_lens)
         result = {k: round(v, 4) for k, v in result.items()}
         return result
-    model = AutoModelForSeq2SeqLM.from_pretrained(checkpoint)
-    batchsize=4
-    training_args = Seq2SeqTrainingArguments(
+        model = AutoModelForSeq2SeqLM.from_pretrained(checkpoint)
+        batchsize=4
+        training_args = Seq2SeqTrainingArguments(
     
         output_dir="./my_awesome_opus_books_model",
         evaluation_strategy="epoch",