Update lm_finetuning.py

lm_finetuning.py

@@ -173,7 +173,7 @@ def main():
 
     # evaluation
     model = AutoModelForSequenceClassification.from_pretrained(
-        opt.model,
+        best_model_path,
         num_labels=6,
         local_files_only=not network,
         id2label=ID2LABEL,
@@ -189,14 +189,6 @@ def main():
         train_dataset=tokenized_datasets[opt.split_train],
         eval_dataset=tokenized_datasets[opt.split_test],
         compute_metrics=compute_metric_all,
-        model_init=lambda x: AutoModelForSequenceClassification.from_pretrained(
-            opt.model,
-            num_labels=6,
-            local_files_only=not network,
-            return_dict=True,
-            id2label=ID2LABEL,
-            label2id=LABEL2ID
-        )
     )
     summary_file = pj(opt.output_dir, opt.summary_file)
     if not opt.skip_eval: