Update README.md

README.md

@@ -35,39 +35,36 @@ For more information on my dataset, please see the included referenced dataset.
 
 # Hyperparameters
 
-MAX_SOURCE_LENGTH = 256
-MAX_TARGET_LENGTH = 128
-BATCH_SIZE = 16
-NUM_EPOCHS = 35
-LEARNING_RATE = 3e-5
-GRADIENT_ACCUMULATION_STEPS = 4
-EARLY_STOPPING_PATIENCE = 2
-WEIGHT_DECAY = 0.01
-OPTIMIZER = ADAFACTOR
-LR_SCHEDULER = LINEAR
+MAX_SOURCE_LENGTH = 256 <br>
+MAX_TARGET_LENGTH = 128 <br>
+BATCH_SIZE = 16 <br>
+NUM_EPOCHS = 35 <br>
+LEARNING_RATE = 3e-5 <br>
+GRADIENT_ACCUMULATION_STEPS = 4 <br>
+EARLY_STOPPING_PATIENCE = 2 <br>
+WEIGHT_DECAY = 0.01 <br>
+OPTIMIZER = ADAFACTOR <br>
+LR_SCHEDULER = LINEAR <br>
 
 # Loss
 
 On the 35th epoch, the model achieved the following loss:
 
-Epoch	Training Loss	Validation Loss
-26	1.001400	1.288712
-27	0.983600	1.284895
-28	0.961300	1.277680
-29	0.940600	1.275018
-30	0.933600	1.275621
-31	0.918200	1.270074
-32	0.904700	1.268874
-33	0.908800	1.268534
-34	0.900600	1.268240
-*35*	*0.894800*	*1.268536*
+Epoch	Training Loss	Validation Loss <br>
+26	1.001400	1.288712 <br>
+27	0.983600	1.284895 <br>
+28	0.961300	1.277680 <br>
+29	0.940600	1.275018 <br>
+30	0.933600	1.275621 <br>
+31	0.918200	1.270074 <br>
+32	0.904700	1.268874 <br>
+33	0.908800	1.268534 <br>
+34	0.900600	1.268240 <br>
+*35*	*0.894800*	*1.268536* <br>
 
 # BLEU and ROUGE Scores
 
-==================================================
-EVALUATION RESULTS
-==================================================
-BLEU Score: 0.3540
-ROUGE-1: 0.5855
-ROUGE-2: 0.3946
+BLEU Score: 0.3540 <br>
+ROUGE-1: 0.5855 <br>
+ROUGE-2: 0.3946 <br>
 ROUGE-L: 0.5243