minor fixes

classifier/nn.py

@@ -36,6 +36,10 @@ class BiLstmClassifier(Model):
             self.label_f1_metrics[vocab.get_token_from_index(index=i, namespace="label")] = \
                 F1Measure(positive_label=i)
 
+        print('No of classes :: ', self.num_classes)
+        for i in range(self.num_classes):
+            print('Token :: ', i, ' -> ', vocab.get_token_from_index(index=i, namespace="label"))
+
         self.loss = torch.nn.CrossEntropyLoss()
 
         self.attention = Attention(encoder.get_output_dim())
@@ -74,11 +78,12 @@ class BiLstmClassifier(Model):
         # Attention
         attn_dist, encoded_text = self.attention(encoded_text, return_attn_distribution=True)
 
+        output_dict = {}
         if label is not None:
             logits = self.classifier_feed_forward(encoded_text)
             class_probabilities = torch.nn.functional.softmax(logits, dim=1)
 
-            output_dict = {"logits": logits}
+            output_dict["logits"] = logits
 
             loss = self.loss(logits, label)
             output_dict["loss"] = loss

configs/basic_model.json

@@ -3,7 +3,7 @@
     "type": "citation_dataset_reader"
   },
   "train_data_path": "data/jsonl/train.jsonl",
-  "validation_data_path": "data/jsonl/test.jsonl",
+  "validation_data_path": "data/jsonl/dev.jsonl",
   "test_data_path": "data/jsonl/test.jsonl",
   "model": {
     "type": "basic_bilstm_classifier",