adriszmar commited on
Commit
a420688
1 Parent(s): 4ca24fc

Update adding evaluation

Browse files
Files changed (1) hide show
  1. README.md +6 -1
README.md CHANGED
@@ -31,7 +31,12 @@ More information needed
31
 
32
  ## Training and evaluation data
33
 
34
- More information needed
 
 
 
 
 
35
 
36
  ## Training procedure
37
 
 
31
 
32
  ## Training and evaluation data
33
 
34
+ The model was trained using the Common Voice 17.0 dataset - spanish subset (mozilla-foundation/common_voice_17_0). Both the base model, whisper-large-v3-turbo, and the fine-tuned model, whisper-large-v3-turbo-es, were evaluated using Word Error Rate (WER) on the test split of the same dataset. The results are as follows:
35
+
36
+ - WER for whisper-large-v3-turbo (base): 10.18%
37
+ - WER for whisper-large-v3-turbo-es (fine-tuned): 2.69%
38
+
39
+ This significant reduction in WER shows that fine-tuning the model for spanish audio led to improved transcription accuracy compared to the original base model.
40
 
41
  ## Training procedure
42