update model card README.md

README.md

@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper-base.en
 
-This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the None dataset.
+This model is a fine-tuned version of [crossdelenna/whisper-base.en](https://huggingface.co/crossdelenna/whisper-base.en) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0027
-- Wer: 2.0414
+- Loss: 0.0003
+- Wer: 0.7305
 
 ## Model description
 
@@ -48,15 +48,15 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.3217        | 1.62  | 500  | 0.2442          | 10.2872 |
-| 0.0874        | 3.25  | 1000 | 0.0774          | 5.5339  |
-| 0.0459        | 4.87  | 1500 | 0.0268          | 3.3624  |
-| 0.012         | 6.49  | 2000 | 0.0094          | 2.7119  |
-| 0.0041        | 8.12  | 2500 | 0.0041          | 2.1115  |
-| 0.0035        | 9.74  | 3000 | 0.0030          | 2.1315  |
-| 0.0036        | 11.36 | 3500 | 0.0027          | 2.0414  |
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.0059        | 1.62  | 500  | 0.0068          | 1.7512 |
+| 0.0015        | 3.25  | 1000 | 0.0019          | 0.7906 |
+| 0.0009        | 4.87  | 1500 | 0.0007          | 0.8206 |
+| 0.0005        | 6.49  | 2000 | 0.0005          | 0.7605 |
+| 0.0004        | 8.12  | 2500 | 0.0004          | 0.7805 |
+| 0.0004        | 9.74  | 3000 | 0.0003          | 0.7305 |
+| 0.0004        | 11.36 | 3500 | 0.0003          | 0.7305 |
 
 
 ### Framework versions