Finnish-NLP
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whisper-large-finnish-v3

Automatic Speech Recognition

speech-recognition

Inference Endpoints

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RASMUS commited on Nov 25, 2023

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cb5737c

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@@ -48,6 +48,11 @@ model-index:
       value: 3.23
 ---
 Original Whisper Large V3
 - CV11
@@ -56,37 +61,37 @@ Original Whisper Large V3
   - CER: 2.7
   - CER NORMALIZED: 2.07
-Fleurs
-WER: 12.04
-WER NORMALIZED: 9.63
-CER: 2.48
-CER NORMALIZED: 3.64
-After Finetuning:
-@14000 steps
-CV11
-WER: 11.36
-WER NORMALIZED: 8.31
-CER: 1.93
-CER NORMALIZED: 1.48
-Fleurs
-WER: 10.2
-WER NORMALIZED: 8.56
-CER: 2.26
-CER NORMALIZED: 3.54
-@32000 steps
-CV11
-WER: 11.47
-WER NORMALIZED: 8.23
-CER: 1.91
-CER NORMALIZED: 1.43
-Fleurs
-WER: 10.1
-WER NORMALIZED: 8.21
-CER: 2.2
-CER NORMALIZED: 3.23

       value: 3.23
 ---
+This is our improved Whisper model that is now finetuned from OpenAI Whisper Large V3
+We improve from our finetuned V2 model:
+CV11 WER 10.42 --> 8.23
+Fleurs WER 10.20 --> 8.21
 Original Whisper Large V3
 - CV11
   - CER: 2.7
   - CER NORMALIZED: 2.07
+- Fleurs
+  - WER: 12.04
+  - WER NORMALIZED: 9.63
+  - CER: 2.48
+  - CER NORMALIZED: 3.64
+After Finetuning V3:
+  - @14000 steps
+    - CV11
+      - WER: 11.36
+      - WER NORMALIZED: 8.31
+      - CER: 1.93
+      - CER NORMALIZED: 1.48
+    - Fleurs
+      - WER: 10.2
+      - WER NORMALIZED: 8.56
+      - CER: 2.26
+      - CER NORMALIZED: 3.54
+  - @32000 steps
+    - CV11
+      - WER: 11.47
+      - WER NORMALIZED: 8.23
+      - CER: 1.91
+      - CER NORMALIZED: 1.43
+    - Fleurs
+      - WER: 10.1
+      - WER NORMALIZED: 8.21
+      - CER: 2.2
+      - CER NORMALIZED: 3.23