End of training

README.md

@@ -19,8 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8478
-- Cer: 49.1156
+- Loss: 0.9064
+- Cer: 50.5772
 
 ## Model description
 
@@ -52,17 +52,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Cer     | Validation Loss |
-|:-------------:|:------:|:----:|:-------:|:---------------:|
-| 1.2118        | 0.4002 | 1000 | 57.4322 | 1.1272          |
-| 1.083         | 0.8005 | 2000 | 52.3096 | 1.0036          |
-| 0.7856        | 1.2007 | 3000 | 0.8861  | 54.0876         |
-| 0.8188        | 1.6010 | 4000 | 0.8478  | 49.1156         |
+| Training Loss | Epoch | Step | Cer     | Validation Loss |
+|:-------------:|:-----:|:----:|:-------:|:---------------:|
+| 1.1421        | 0.4   | 1000 | 61.1639 | 1.1692          |
+| 1.0556        | 0.8   | 2000 | 51.7749 | 1.0215          |
+| 0.7837        | 1.2   | 3000 | 0.9572  | 54.1978         |
+| 0.7332        | 1.6   | 4000 | 0.9230  | 50.3966         |
+| 0.6957        | 2.0   | 5000 | 0.9064  | 50.5772         |
 
 
 ### Framework versions
 
 - Transformers 4.40.1
 - Pytorch 2.1.2
-- Datasets 2.19.0
+- Datasets 2.19.1
 - Tokenizers 0.19.1