SamagraDataGov
/

whisper-tiny-hindi2_test

Automatic Speech Recognition

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SamagraDataGov commited on Jun 29

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README.md +7 -7
pytorch_model.bin +1 -1

README.md CHANGED Viewed

@@ -17,8 +17,8 @@ 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: 0.2043
-- Wer: 27.6560
 ## Model description
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.2449        | 1.2698 | 40   | 0.1597          | 25.8853 |
-| 0.1002        | 2.5397 | 80   | 0.1644          | 26.6442 |
-| 0.0492        | 3.8095 | 120  | 0.1730          | 27.0658 |
-| 0.0269        | 5.0794 | 160  | 0.1801          | 26.9815 |
-| 0.0156        | 6.3492 | 200  | 0.2043          | 27.6560 |
 ### 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: 0.1752
+- Wer: 27.1501
 ## Model description
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.2566        | 1.2698 | 40   | 0.1388          | 23.6931 |
+| 0.0988        | 2.5397 | 80   | 0.1452          | 23.4401 |
+| 0.0499        | 3.8095 | 120  | 0.1461          | 23.9460 |
+| 0.0299        | 5.0794 | 160  | 0.1596          | 24.1990 |
+| 0.0132        | 6.3492 | 200  | 0.1752          | 27.1501 |
 ### Framework versions

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