diff --git a/src/data/fetch_imdb62.py b/src/data/fetch_imdb62.py
index 7e747c1..4822c96 100644
--- a/src/data/fetch_imdb62.py
+++ b/src/data/fetch_imdb62.py
@@ -7,7 +7,7 @@ from data.AuthorshipDataset import AuthorshipDataset, LabelledCorpus
 
 class Imdb62(AuthorshipDataset):
 
-    TEST_SIZE = 0.30
+    TEST_SIZE = 0.10
     NUM_AUTHORS = 62
     NUM_DOCS_BY_AUTHOR = int(1000-(1000*TEST_SIZE))
 
diff --git a/src/model/classifiers.py b/src/model/classifiers.py
index 572ba42..a346494 100644
--- a/src/model/classifiers.py
+++ b/src/model/classifiers.py
@@ -16,7 +16,7 @@ class AuthorshipAttributionClassifier(nn.Module):
         self.padder = Padding(pad_index=pad_index, max_length=pad_length, dynamic=True, pad_at_end=False, device=device)
         self.device = device
 
-    def fit(self, X, y, batch_size, epochs, lr=0.001, val_prop=0.2, log='../log/tmp.csv'):
+    def fit(self, X, y, batch_size, epochs, lr=0.001, val_prop=0.1, log='../log/tmp.csv'):
         batcher = Batch(batch_size=batch_size, n_epochs=epochs)
         criterion = torch.nn.CrossEntropyLoss().to(self.device)
         optim = torch.optim.Adam(self.parameters(), lr=lr)