Model save

README.md

@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper-large-v3-ft-cv-cy-en
 
-This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the DewiBrynJones/commonvoice_18_0_cy_en train main dataset.
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4448
-- Wer: 0.1961
+- Loss: 0.3036
+- Wer: 0.1826
 
 ## Model description
 
@@ -51,13 +51,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss | Wer    |
-|:-------------:|:-------:|:----:|:---------------:|:------:|
-| 0.2144        | 2.0060  | 1000 | 0.3076          | 0.2114 |
-| 0.0472        | 4.0120  | 2000 | 0.3330          | 0.2014 |
-| 0.0074        | 6.0181  | 3000 | 0.3956          | 0.1972 |
-| 0.0019        | 8.0241  | 4000 | 0.4263          | 0.1953 |
-| 0.0014        | 10.0301 | 5000 | 0.4448          | 0.1961 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.294         | 0.7075 | 1000 | 0.3054          | 0.2114 |
+| 0.1572        | 1.4149 | 2000 | 0.2768          | 0.1898 |
+| 0.0714        | 2.1224 | 3000 | 0.2789          | 0.1807 |
+| 0.0772        | 2.8299 | 4000 | 0.2759          | 0.1810 |
+| 0.0337        | 3.5373 | 5000 | 0.3036          | 0.1826 |
 
 
 ### Framework versions