End of training

README.md

@@ -18,7 +18,7 @@ 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: 0.0150
-- Wer: 11.6214
+- Wer: 12.4260
 
 ## Model description
 
@@ -51,8 +51,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.0202        | 0.3668 | 1000 | 0.0180          | 14.4642 |
-| 0.0192        | 0.7337 | 2000 | 0.0150          | 11.6214 |
+| 0.0201        | 0.3668 | 1000 | 0.0170          | 13.7081 |
+| 0.0193        | 0.7337 | 2000 | 0.0150          | 12.4260 |
 
 
 ### Framework versions