diff --git a/snli/model.py b/snli/model.py
index 8a17baa9df..4de4f100e2 100644
--- a/snli/model.py
+++ b/snli/model.py
@@ -50,7 +50,7 @@ def __init__(self, config):
             seq_in_size *= 2
         lin_config = [seq_in_size]*2
         self.out = nn.Sequential(
-            Linear(lin_config),
+            Linear(*lin_config),
             self.relu,
             self.dropout,
             Linear(*lin_config),
diff --git a/snli/train.py b/snli/train.py
index eefaa56a3f..06dfe4d109 100644
--- a/snli/train.py
+++ b/snli/train.py
@@ -20,16 +20,14 @@
 
 train, dev, test = datasets.SNLI.splits(inputs, answers)
 
-if  args.word_vectors and os.path.isfile(args.vector_cache):
-    inputs.build_vocab(train, dev, test, lower=args.lower)
-    inputs.vocab.vectors = torch.load(args.vector_cache)
-else:
-    if args.word_vectors:
-        inputs.build_vocab(train, dev, test, vectors=(args.data_cache, args.word_vectors, args.d_embed), lower=args.lower)
+inputs.build_vocab(train, dev, test, lower=args.lower)
+if args.word_vectors:
+    if os.path.isfile(args.vector_cache):
+        inputs.vocab.vectors = torch.load(args.vector_cache)
+    else:
+        inputs.vocab.load_vectors(vectors=(args.data_cache, args.word_vectors, args.d_embed))
         os.makedirs(os.path.dirname(args.vector_cache), exist_ok=True)
         torch.save(inputs.vocab.vectors, args.vector_cache)
-    else:
-        inputs.build_vocab(train, dev, test, lower=args.lower)
 answers.build_vocab(train)
 
 train_iter, dev_iter, test_iter = data.BucketIterator.splits(
diff --git a/snli/util.py b/snli/util.py
index 592089f199..ac8fe47ff0 100644
--- a/snli/util.py
+++ b/snli/util.py
@@ -8,12 +8,12 @@ def get_args():
     parser.add_argument('--d_embed', type=int, default=300)
     parser.add_argument('--d_proj', type=int, default=300)
     parser.add_argument('--d_hidden', type=int, default=300)
-    parser.add_argument('--n_layers', type=int, default=2)
+    parser.add_argument('--n_layers', type=int, default=1)
     parser.add_argument('--log_every', type=int, default=50)
     parser.add_argument('--lr', type=float, default=.001)
     parser.add_argument('--dev_every', type=int, default=1000)
     parser.add_argument('--save_every', type=int, default=1000)
-    parser.add_argument('--dp_ratio', type=int, default=0.0)
+    parser.add_argument('--dp_ratio', type=int, default=0.2)
     parser.add_argument('--bidirectional', action='store_true', dest='birnn')
     parser.add_argument('--preserve-case', action='store_false', dest='lower')
     parser.add_argument('--no-projection', action='store_false', dest='projection')