Change the GPT-J example configure setting (#343)

Signed-off-by: Cheng, Penghui <penghui.cheng@intel.com>

Author: PenghuiCheng

examples/pytorch/nlp/huggingface_models/language-modeling/quantization/ptq_static/fx/run_clm.py

@@ -555,9 +555,10 @@ def eval_func_for_nc(model_tuned):
         return eval_loss
 
     if model_args.tune:
-        from neural_compressor.config import PostTrainingQuantConfig
+        from neural_compressor.config import AccuracyCriterion, PostTrainingQuantConfig
         from neural_compressor import quantization
-        conf = PostTrainingQuantConfig()
+        accuracy_criterion = AccuracyCriterion(higher_is_better=False, tolerable_loss=0.5)
+        conf = PostTrainingQuantConfig(accuracy_criterion=accuracy_criterion)
         q_model = quantization.fit(model,
                                    conf,
                                    calib_dataloader=trainer.get_eval_dataloader(),