diff --git a/combo/config.multitask.template.jsonnet b/combo/config.multitask.template.jsonnet
index cf91ef12da1e558fe4ea39679e8c24a497f3c9ae..3553bc11cda8dd4445d07b7a88f4beb1a89a494b 100644
--- a/combo/config.multitask.template.jsonnet
+++ b/combo/config.multitask.template.jsonnet
@@ -199,7 +199,7 @@ assert pretrained_tokens == null || pretrained_transformer_name == null: "Can't
     data_loader: {
         type: "multitask",
         scheduler: {
-            batch_size: 10
+            batch_size: 20
         },
         shuffle: true,
 //        batch_sampler: {
diff --git a/combo/models/model.py b/combo/models/model.py
index 883934eb5e041c8eb94a107ea21bbd89da5b6bbf..dd3629ad803fdb79662a7346340248df85230c1e 100644
--- a/combo/models/model.py
+++ b/combo/models/model.py
@@ -38,8 +38,7 @@ class NERModel(heads.Head):
         super().__init__(vocab)
         self.feedforward_predictor = feedforward_predictor
         self._accuracy_metric = allen_metrics.CategoricalAccuracy()
-        self._f1_metric = allen_metrics.SpanBasedF1Measure(vocab, tag_namespace="ner_labels", label_encoding="IOB1",
-                                                           ignore_classes=["_"])
+        self._f1_metric = allen_metrics.SpanBasedF1Measure(vocab, tag_namespace="ner_labels", label_encoding="IOB1")
         self._loss = 0.0
 
     def forward(self,