Finnish-NLP
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whisper-large-finnish-v3

Automatic Speech Recognition

speech-recognition

Inference Endpoints

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RASMUS commited on 29 days ago

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@@ -57,9 +57,9 @@ pipeline_tag: automatic-speech-recognition
 <p>Fleurs (A speech recognition test set by Google) WER (Word error rate) 10.20 --> 8.21</p>
 <p>Model was trained on Nvidia RTX4080 for 32k steps with batch size 8, gradient accumulation 2</p>
-<br></br>
-Original OpenAI Whisper Large V3
 - CV11
   - WER: 14.81
   - WER NORMALIZED: 10.82
@@ -73,7 +73,7 @@ Original OpenAI Whisper Large V3
   - CER NORMALIZED: 3.64
-After Finetuning with Finnish data our V3 got these scores on the test set:
   - @14000 finetuning steps
     - CV11

 <p>Fleurs (A speech recognition test set by Google) WER (Word error rate) 10.20 --> 8.21</p>
 <p>Model was trained on Nvidia RTX4080 for 32k steps with batch size 8, gradient accumulation 2</p>
+<br>
+<h3> Original OpenAI Whisper Large V3</h3>
 - CV11
   - WER: 14.81
   - WER NORMALIZED: 10.82
   - CER NORMALIZED: 3.64
+<h3> After Finetuning with Finnish data our V3 got these scores on the test set:</h3>
   - @14000 finetuning steps
     - CV11