Enpas
/

opus-base

Automatic Speech Recognition

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

Enpas commited on Jun 26

Commit

2099dca

•

1 Parent(s): 5e9b49d

End of training

Files changed (1) hide show

README.md +4 -4

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-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0187
-- Wer: 15.8230
 ## Model description
@@ -51,8 +51,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.0253        | 0.3668 | 1000 | 0.0209          | 16.5605 |
-| 0.0249        | 0.7337 | 2000 | 0.0187          | 15.8230 |
 ### Framework versions

 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.0163
+- Wer: 11.1424
 ## Model description
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.0228        | 0.3668 | 1000 | 0.0179          | 13.6776 |
+| 0.0218        | 0.7337 | 2000 | 0.0163          | 11.1424 |
 ### Framework versions