Small logger bug (multi-gpu, distribution) in training

run_squad.py

@@ -750,7 +750,7 @@ def main():
         n_gpu = 1
         # Initializes the distributed backend which will take care of sychronizing nodes/GPUs
         torch.distributed.init_process_group(backend='nccl')
-    logger.info("device", device, "n_gpu", n_gpu, "distributed training", bool(args.local_rank != -1))
+    logger.info("device %s n_gpu %d distributed training %r", device, n_gpu, bool(args.local_rank != -1))
 
     if args.accumulate_gradients < 1:
         raise ValueError("Invalid accumulate_gradients parameter: {}, should be >= 1".format(