ymlee
/

whisper-small-hi

Automatic Speech Recognition

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Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

ymlee commited on May 30

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8f4d7b8

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1 Parent(s): 3759b39

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README.md +4 -4

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@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 32.612376195716585
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,8 +34,8 @@ 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: 0.4422
-- Wer: 32.6124
 ## Model description
@@ -68,7 +68,7 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.0031        | 2.4450 | 1000 | 0.4422          | 32.6124 |
 ### Framework versions

     metrics:
     - name: Wer
       type: wer
+      value: 34.466265978159655
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 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: 0.2860
+- Wer: 34.4663
 ## Model description
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.082         | 2.4450 | 1000 | 0.2860          | 34.4663 |
 ### Framework versions