:hammer: Reduce seq_len = 1000, batch_size = 16

app.py

@@ -489,7 +489,7 @@ def start_bert(classifier_model, criterion, m_optimizer=torch.optim.Adam, WINDOW
 if __name__ == '__main__':
   login_inside_huggingface_virtualmachine()
 
-  WINDOW = 4000
+  WINDOW = 1000
   some_model = DnaBert6MQTLClassifier(seq_len=WINDOW, model_repository_name="dnabert-6-mqtl-classifier")
   criterion = ReshapedBCEWithLogitsLoss()
 
@@ -499,6 +499,6 @@ if __name__ == '__main__':
     WINDOW=WINDOW,
     is_debug=False,
     max_epochs=20,
-    batch_size=32
+    batch_size=16
   )
   pass