Update README.md

README.md

@@ -30,9 +30,9 @@ It can generate both an exact verbatim transcription with annotation tags as wel
 
 -- **ASR_subtitles_v2_small**: Smaller variant of ASR_subtitles_v2 with almost as good performance.
 
--- **ASR_subtitles_v1**: The first version of the ASR and Subtitling model trained on 2000 hours of Flemish data.
+-- **ASR_subtitles_v1**: The first version of the ASR and Subtitling model trained on 1000 hours of Flemish data.
 
--- **ASR_verbatim_v1**: The first version of the ASR and Subtitling model trained on 2000 hours of Flemish data, converted to a verbatim-only ASR model.
+-- **ASR_verbatim_v1**: The first version of the ASR and Subtitling model trained on 1000 hours of Flemish data, converted to a verbatim-only ASR model.
 
 -- **Whisper**: A finetuned Whisper Large model on Flemish data can be found [here](https://huggingface.co/kul-speech-lab/whisper_large_CGN). Usage instructions can be found in Whisper documentation.
 
@@ -45,4 +45,11 @@ It can generate both an exact verbatim transcription with annotation tags as wel
 
 ## Leaderboard
 
-Will be added shortly.
+Word Error Rates on different test sets.
+
+|Model Tag|Number of Parameters|Test CGN|Test Media|
+|:---|:---:|:---:|:---:|
+|ASR_subtitles_v2|180M|**6.49**|**8.63**|
+|ASR_subtitles_v2_small|70M|6.93|9.30|
+|Whisper large finetuned|1550M|X|10.54|
+|Whisper large v3|1550M|11.68|13.45|