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-base](https://huggingface.co/openai/whisper-base) on the Common Voice 16 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6277
-- Cer: 18.8006
+- Loss: 0.6417
+- Cer: 16.8380
 
 ## Model description
 
@@ -53,16 +53,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Cer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 2.6628        | 0.0573 | 100  | 1.1338          | 24.4276 |
-| 1.1592        | 0.1147 | 200  | 0.8507          | 18.6215 |
-| 0.9434        | 0.1720 | 300  | 0.7357          | 17.8232 |
-| 0.8171        | 0.2294 | 400  | 0.6980          | 16.1916 |
-| 0.7444        | 0.2867 | 500  | 0.6277          | 18.8006 |
+| 3.1341        | 0.0991 | 100  | 1.2010          | 26.4369 |
+| 1.3756        | 0.1982 | 200  | 0.8743          | 20.5919 |
+| 1.1401        | 0.2973 | 300  | 0.7722          | 18.2866 |
+| 0.9782        | 0.3964 | 400  | 0.6795          | 16.8536 |
+| 0.8545        | 0.4955 | 500  | 0.6417          | 16.8380 |
 
 
 ### Framework versions
 
 - Transformers 4.44.0
 - Pytorch 2.3.1+cu121
-- Datasets 2.20.0
+- Datasets 2.21.0
 - Tokenizers 0.19.1