some wrong typing (pytorch#125)

humber->number
--batch-size->--batch_size

Author: tsingcoo

word_language_model/main.py

@@ -16,7 +16,7 @@
 parser.add_argument('--emsize', type=int, default=200,
                     help='size of word embeddings')
 parser.add_argument('--nhid', type=int, default=200,
-                    help='humber of hidden units per layer')
+                    help='number of hidden units per layer')
 parser.add_argument('--nlayers', type=int, default=2,
                     help='number of layers')
 parser.add_argument('--lr', type=float, default=20,
@@ -25,7 +25,7 @@
                     help='gradient clipping')
 parser.add_argument('--epochs', type=int, default=40,
                     help='upper epoch limit')
-parser.add_argument('--batch-size', type=int, default=20, metavar='N',
+parser.add_argument('--batch_size', type=int, default=20, metavar='N',
                     help='batch size')
 parser.add_argument('--bptt', type=int, default=35,
                     help='sequence length')