Update lm_finetuning.py

lm_finetuning.py

@@ -211,16 +211,7 @@ 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,
-            return_dict=True,
-            num_labels=len(dataset[opt.split_train]['label'][0]),
-            local_files_only=not network,
-            problem_type="multi_label_classification",
-            id2label=ID2LABEL,
-            label2id=LABEL2ID
-            )
+        compute_metrics=compute_metric_all
     )
     summary_file = pj(opt.output_dir, opt.summary_file)
     if not opt.skip_eval: