:memo: new. model metrics update
Browse files
README.md
CHANGED
|
@@ -58,16 +58,16 @@ We used heuristic parameters without separate hyperparameter tuning.
|
|
| 58 |
## Metrics
|
| 59 |
|
| 60 |
For the dev set we got those results
|
| 61 |
-
- size of the set: 700 examples from French Census /
|
| 62 |
-
- CER: 0.
|
| 63 |
-
- WER: 0.
|
| 64 |
-
- Loss: 0.
|
| 65 |
|
| 66 |
For the test set we got those results
|
| 67 |
- size of the set: 730 examples from French Census / 950 from our own dataset
|
| 68 |
-
- CER: 0.
|
| 69 |
-
- WER: 0.
|
| 70 |
-
- Loss: 0.
|
| 71 |
|
| 72 |
### How to use
|
| 73 |
|
|
|
|
| 58 |
## Metrics
|
| 59 |
|
| 60 |
For the dev set we got those results
|
| 61 |
+
- size of the set: 700 examples from French Census / 1600 from our own dataset
|
| 62 |
+
- CER: 0.0575
|
| 63 |
+
- WER: 0.1651
|
| 64 |
+
- Loss: 0.5768
|
| 65 |
|
| 66 |
For the test set we got those results
|
| 67 |
- size of the set: 730 examples from French Census / 950 from our own dataset
|
| 68 |
+
- CER: 0.09417
|
| 69 |
+
- WER: 0.23485
|
| 70 |
+
- Loss: 0.8700
|
| 71 |
|
| 72 |
### How to use
|
| 73 |
|