Update article format

app.py

@@ -22,7 +22,6 @@ interface_options = {
     "article": article,
     "interpretation": "default",
     "layout": "horizontal",
-    "theme": "default",
     # Audio from validation file
     "examples": ["000003.ogg", "000032.ogg", "000038.ogg", "000050.ogg", "000103.ogg"],
 }

article.md

@@ -13,19 +13,32 @@ During first lesson of Practical Deep Learning for Coders course, Jeremy had men
 
 Fast.ai was used to train this classifier with a ResNet50 vision learner for 10 epochs.
 
-epoch 	train_loss 	valid_loss 	error_rate 	time
-0 	2.869285 	2.171426 	0.616428 	01:43
-epoch 	train_loss 	valid_loss 	error_rate 	time
-0 	2.312176 	1.843815 	0.558654 	02:07
-1 	2.102361 	1.719162 	0.539061 	02:08
-2 	1.867139 	1.623988 	0.527003 	02:08
-3 	1.710557 	1.527913 	0.507661 	02:07
-4 	1.629478 	1.456836 	0.479779 	02:05
-5 	1.519305 	1.433036 	0.474253 	02:05
-6 	1.457465 	1.379757 	0.464456 	02:05
-7 	1.396283 	1.369344 	0.457925 	02:05
-8 	1.359388 	1.367973 	0.453655 	02:05
-9 	1.364363 	1.368887 	0.456167 	02:04
+| epoch	| train_loss	| valid_loss	| error_rate	| time  |
+|-------|---------------|---------------|---------------|-------|
+|0  |	2.312176 |	1.843815 |	0.558654 |	02:07 |
+|1  |	2.102361 |	1.719162 |	0.539061 |	02:08 |
+|2  |	1.867139 |	1.623988 |	0.527003 |	02:08 |
+|3  |	1.710557 |	1.527913 |	0.507661 |	02:07 |
+|4  |	1.629478 |	1.456836 |	0.479779 |	02:05 |
+|5  |	1.519305 |	1.433036 |	0.474253 |	02:05 |
+|6  |	1.457465 |	1.379757 |	0.464456 |	02:05 |
+|7  |	1.396283 |	1.369344 |	0.457925 |	02:05 |
+|8  |	1.359388 |	1.367973 |	0.453655 |	02:05 |
+|9  |	1.364363 |	1.368887 |	0.456167 |	02:04 |
+
+
+
+| epoch	| train_loss	| valid_loss	| error_rate	| time  |
+|-------|---------------|---------------|---------------|-------|
+| 0	| 1.358123	| 1.100139	| 0.288713	| 05:14 |
+| 1	| 1.129988	| 0.985213	| 0.260693	| 05:12 |
+| 2	| 0.964907	| 0.909715	| 0.241337	| 05:17 |
+| 3	| 0.804738	| 0.843515	| 0.222475	| 05:19 |
+| 4	| 0.638846	| 0.795957	| 0.205347	| 05:16 |
+| 5	| 0.475434	| 0.750069	| 0.192673	| 05:15 |
+| 6	| 0.345060	| 0.742432	| 0.185198	| 05:12 |
+| 7	| 0.247938	| 0.728758	| 0.177624	| 05:12 |
+| 8	| 0.214708	| 0.727486	| 0.177871	| 05:11 |
 
 ## Examples