Whisper-Small-Hi

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 46.60966731566918
+      value: 46.643528316261744
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_11_0 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.4191
-- Wer: 46.6097
+- Wer: 46.6435
 
 ## Model description
 
@@ -67,7 +67,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.3564        | 0.2445 | 100  | 0.4191          | 46.6097 |
+| 0.3565        | 0.2445 | 100  | 0.4191          | 46.6435 |
 
 
 ### Framework versions