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+# Results
+
+## Set-up. 
+ - Num Tokens 15K
+ - GPU V100
+ - LM BPTT = 70
+ - LM BS = 64
+ - CLAS BS = 32
+
+| Model          |   LSTM    |   QRNN    |
+|----------------|-----------|-----------|
+| LM ms/batch    |   143ms   |   71ms    |
+| CLAS ms/batch  |   467ms   |   156ms   |
+
+
+```
+> python results/time_benchmark/qrnn_benchmark.py
+
+Vocab size 14513                                                                                                                                                                                                    
+QRNN
+LM
+epoch     train_loss  valid_loss  accuracy
+1         6.326089                                                                                                                                                                                                                        
+Total time: 00:11
+Batch size torch.Size([64, 70])
+Params = 22 MM
+Training time is 71.0 ms per batch
+CLAS
+epoch     train_loss  valid_loss  accuracy
+1         0.712603                                                                                                                                                                                                                      
+Total time: 00:10
+Batch size torch.Size([32, 1445])
+Params = 22 MM
+Training time is 156.0 ms per batch
+LSTM
+LM
+epoch     train_loss  valid_loss  accuracy
+1         6.262911                                                                                                                                                                                                                        
+Total time: 00:21
+Batch size torch.Size([64, 70])
+Params = 37 MM
+Training time is 143.0 ms per batch
+CLAS
+epoch     train_loss  valid_loss  accuracy
+1         0.706715                                                                                                                                                                                                                      
+Total time: 00:32
+Batch size torch.Size([32, 1445])
+Params = 37 MM
+Training time is 467.0 ms per batch
+```
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