From 99709ee61d887ac1a4431a54a4f78f008b5b11d6 Mon Sep 17 00:00:00 2001
From: Jasdeep Singh <33911313+SinghJasdeep@users.noreply.github.com>
Date: Thu, 20 Dec 2018 13:55:47 -0800
Subject: [PATCH] loading saved model when n_classes != 2

Required to for: Assertion `t >= 0 && t < n_classes` failed,  if your default number of classes is not 2.
---
 examples/run_classifier.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/run_classifier.py b/examples/run_classifier.py
index adf81f4e28..456b06b07f 100644
--- a/examples/run_classifier.py
+++ b/examples/run_classifier.py
@@ -558,7 +558,7 @@ def main():
 
     # Load a trained model that you have fine-tuned
     model_state_dict = torch.load(output_model_file)
-    model = BertForSequenceClassification.from_pretrained(args.bert_model, state_dict=model_state_dict)
+    model = BertForSequenceClassification.from_pretrained(args.bert_model, state_dict=model_state_dict, num_labels=num_labels)
     model.to(device)
 
     if args.do_eval and (args.local_rank == -1 or torch.distributed.get_rank() == 0):