End of training

README.md

@@ -35,7 +35,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 13 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.8602
+- Loss: 4.1106
 - Wer Ortho: 10.0
 - Wer: 10.0
 
@@ -70,12 +70,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer  |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:----:|
-| 4.1359        | 0.1994 | 200  | 3.8602          | 10.0      | 10.0 |
+| 5.2043        | 0.1994 | 200  | 4.1106          | 10.0      | 10.0 |
 
 
 ### Framework versions
 
 - Transformers 4.44.2
-- Pytorch 2.4.0+cu121
-- Datasets 2.21.0
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.0
 - Tokenizers 0.19.1