kurianbenoy commited on
Commit
fd0c36b
1 Parent(s): cef4bbb

Update article format

Browse files
Files changed (2) hide show
  1. app.py +0 -1
  2. article.md +26 -13
app.py CHANGED
@@ -22,7 +22,6 @@ interface_options = {
22
  "article": article,
23
  "interpretation": "default",
24
  "layout": "horizontal",
25
- "theme": "default",
26
  # Audio from validation file
27
  "examples": ["000003.ogg", "000032.ogg", "000038.ogg", "000050.ogg", "000103.ogg"],
28
  }
 
22
  "article": article,
23
  "interpretation": "default",
24
  "layout": "horizontal",
 
25
  # Audio from validation file
26
  "examples": ["000003.ogg", "000032.ogg", "000038.ogg", "000050.ogg", "000103.ogg"],
27
  }
article.md CHANGED
@@ -13,19 +13,32 @@ During first lesson of Practical Deep Learning for Coders course, Jeremy had men
13
 
14
  Fast.ai was used to train this classifier with a ResNet50 vision learner for 10 epochs.
15
 
16
- epoch train_loss valid_loss error_rate time
17
- 0 2.869285 2.171426 0.616428 01:43
18
- epoch train_loss valid_loss error_rate time
19
- 0 2.312176 1.843815 0.558654 02:07
20
- 1 2.102361 1.719162 0.539061 02:08
21
- 2 1.867139 1.623988 0.527003 02:08
22
- 3 1.710557 1.527913 0.507661 02:07
23
- 4 1.629478 1.456836 0.479779 02:05
24
- 5 1.519305 1.433036 0.474253 02:05
25
- 6 1.457465 1.379757 0.464456 02:05
26
- 7 1.396283 1.369344 0.457925 02:05
27
- 8 1.359388 1.367973 0.453655 02:05
28
- 9 1.364363 1.368887 0.456167 02:04
 
 
 
 
 
 
 
 
 
 
 
 
 
29
 
30
  ## Examples
31
 
 
13
 
14
  Fast.ai was used to train this classifier with a ResNet50 vision learner for 10 epochs.
15
 
16
+ | epoch | train_loss | valid_loss | error_rate | time |
17
+ |-------|---------------|---------------|---------------|-------|
18
+ |0 | 2.312176 | 1.843815 | 0.558654 | 02:07 |
19
+ |1 | 2.102361 | 1.719162 | 0.539061 | 02:08 |
20
+ |2 | 1.867139 | 1.623988 | 0.527003 | 02:08 |
21
+ |3 | 1.710557 | 1.527913 | 0.507661 | 02:07 |
22
+ |4 | 1.629478 | 1.456836 | 0.479779 | 02:05 |
23
+ |5 | 1.519305 | 1.433036 | 0.474253 | 02:05 |
24
+ |6 | 1.457465 | 1.379757 | 0.464456 | 02:05 |
25
+ |7 | 1.396283 | 1.369344 | 0.457925 | 02:05 |
26
+ |8 | 1.359388 | 1.367973 | 0.453655 | 02:05 |
27
+ |9 | 1.364363 | 1.368887 | 0.456167 | 02:04 |
28
+
29
+
30
+
31
+ | epoch | train_loss | valid_loss | error_rate | time |
32
+ |-------|---------------|---------------|---------------|-------|
33
+ | 0 | 1.358123 | 1.100139 | 0.288713 | 05:14 |
34
+ | 1 | 1.129988 | 0.985213 | 0.260693 | 05:12 |
35
+ | 2 | 0.964907 | 0.909715 | 0.241337 | 05:17 |
36
+ | 3 | 0.804738 | 0.843515 | 0.222475 | 05:19 |
37
+ | 4 | 0.638846 | 0.795957 | 0.205347 | 05:16 |
38
+ | 5 | 0.475434 | 0.750069 | 0.192673 | 05:15 |
39
+ | 6 | 0.345060 | 0.742432 | 0.185198 | 05:12 |
40
+ | 7 | 0.247938 | 0.728758 | 0.177624 | 05:12 |
41
+ | 8 | 0.214708 | 0.727486 | 0.177871 | 05:11 |
42
 
43
  ## Examples
44