[run_ner] Don't crash if fine-tuning local model that doesn't end with digit

examples/run_ner.py

@@ -160,7 +160,10 @@ def train(args, train_dataset, model, tokenizer, labels, pad_token_label_id):
     # Check if continuing training from a checkpoint
     if os.path.exists(args.model_name_or_path):
         # set global_step to gobal_step of last saved checkpoint from model path
+        try:
             global_step = int(args.model_name_or_path.split("-")[-1].split("/")[0])
+        except ValueError:
+            global_step = 0
         epochs_trained = global_step // (len(train_dataloader) // args.gradient_accumulation_steps)
         steps_trained_in_current_epoch = global_step % (len(train_dataloader) // args.gradient_accumulation_steps)