liuh6
/

whisper-tiny_to_Chinese_accent_SP_PHaPS

Automatic Speech Recognition

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liuh6 commited on Jun 4

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800427e

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1 Parent(s): 2043540

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README.md +4 -4

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@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 16.82287529785544
 ---
 <!-- 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-tiny](https://huggingface.co/openai/whisper-tiny) on the Chinese English dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4054
-- Wer: 16.8229
 ## Model description
@@ -67,7 +67,7 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.0036        | 0.5556 | 500  | 0.4054          | 16.8229 |
 ### Framework versions

     metrics:
     - name: Wer
       type: wer
+      value: 16.5845909451946
 ---
 <!-- 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-tiny](https://huggingface.co/openai/whisper-tiny) on the Chinese English dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.3552
+- Wer: 16.5846
 ## Model description
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.2649        | 0.5556 | 500  | 0.3552          | 16.5846 |
 ### Framework versions