crossdelenna
/

whisper-base.en

Automatic Speech Recognition

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crossdelenna commited on Apr 1, 2023

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update model card README.md

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@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [crossdelenna/whisper-base.en](https://huggingface.co/crossdelenna/whisper-base.en) on the None dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0001
-- Wer: 0.2602
 ## Model description
@@ -50,10 +50,10 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.0046        | 1.62  | 500  | 0.0052          | 0.9106 |
-| 0.0004        | 3.25  | 1000 | 0.0013          | 0.3502 |
-| 0.0001        | 4.87  | 1500 | 0.0001          | 0.2702 |
-| 0.0001        | 6.49  | 2000 | 0.0001          | 0.2602 |
 ### Framework versions

 This model is a fine-tuned version of [crossdelenna/whisper-base.en](https://huggingface.co/crossdelenna/whisper-base.en) on the None dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0001
+- Wer: 0.2502
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.0023        | 1.62  | 500  | 0.0023          | 0.4903 |
+| 0.0013        | 3.25  | 1000 | 0.0005          | 0.3102 |
+| 0.0001        | 4.87  | 1500 | 0.0001          | 0.2502 |
+| 0.0001        | 6.49  | 2000 | 0.0001          | 0.2502 |
 ### Framework versions