remove reloading tokenizer in the training, adding it to the evaluation part

examples/run_glue.py

@@ -448,7 +448,6 @@ def main():
 
         # Load a trained model and vocabulary that you have fine-tuned
         model = model_class.from_pretrained(args.output_dir)
-        tokenizer = tokenizer_class.from_pretrained(args.output_dir, do_lower_case=args.do_lower_case)
         model.to(args.device)