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: 0.4825
-- Wer: 0.1979
+- Loss: 0.4448
+- Wer: 0.1961
 
 ## Model description
 
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Wer    |
 |:-------------:|:-------:|:----:|:---------------:|:------:|
-| 0.2506        | 2.0060  | 1000 | 0.3449          | 0.2113 |
-| 0.0783        | 4.0120  | 2000 | 0.3657          | 0.2010 |
-| 0.0377        | 6.0181  | 3000 | 0.4253          | 0.1986 |
-| 0.0326        | 8.0241  | 4000 | 0.4601          | 0.1977 |
-| 0.0313        | 10.0301 | 5000 | 0.4825          | 0.1979 |
+| 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 |
 
 
 ### Framework versions