[ner] Honor args.overwrite_cache

examples/run_ner.py

@@ -252,7 +252,7 @@ def load_and_cache_examples(args, tokenizer, labels, pad_token_label_id, mode):
     cached_features_file = os.path.join(args.data_dir, "cached_{}_{}_{}".format(mode,
         list(filter(None, args.model_name_or_path.split("/"))).pop(),
         str(args.max_seq_length)))
-    if os.path.exists(cached_features_file):
+    if os.path.exists(cached_features_file) and not args.overwrite_cache:
         logger.info("Loading features from cached file %s", cached_features_file)
         features = torch.load(cached_features_file)
     else: