EducativeCS2023
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whisper-en-tiny-trained

Automatic Speech Recognition

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EducativeCS2023 commited on Jun 15, 2023

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update model card README.md

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@@ -16,8 +16,8 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: nan
-- Wer: 100.0
 ## Model description
@@ -47,10 +47,10 @@ The following hyperparameters were used during training:
 ### Training results
-| Training Loss | Epoch | Step | Validation Loss | Wer   |
-|:-------------:|:-----:|:----:|:---------------:|:-----:|
-| 2.0572        | 1.0   | 60   | nan             | 100.0 |
-| 0.0           | 2.0   | 120  | nan             | 100.0 |
 ### Framework versions

 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.4552
+- Wer: 92.5515
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Wer      |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.8547        | 1.0   | 60   | 2.0399          | 100.1585 |
+| 1.0927        | 2.0   | 120  | 1.4552          | 92.5515  |
 ### Framework versions