update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 84.71153846153847
+      value: 85.53786155346116
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ 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 librispeech_asr dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.3887
-- Wer: 84.7115
+- Loss: 2.3358
+- Wer: 85.5379
 
 ## Model description
 
@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 1.2459        | 0.26  | 10   | 3.6972          | 20.6731 |
-| 0.83          | 0.53  | 20   | 2.9120          | 33.1731 |
-| 0.5312        | 0.79  | 30   | 2.4692          | 76.6346 |
-| 0.445         | 1.05  | 40   | 2.3355          | 65.8654 |
-| 0.3173        | 1.32  | 50   | 2.3887          | 84.7115 |
+| 1.2481        | 0.08  | 10   | 3.5688          | 21.1895 |
+| 0.7793        | 0.16  | 20   | 2.8307          | 38.9990 |
+| 0.5443        | 0.24  | 30   | 2.4196          | 67.0458 |
+| 0.4484        | 0.32  | 40   | 2.2903          | 71.1732 |
+| 0.4086        | 0.4   | 50   | 2.3358          | 85.5379 |
 
 
 ### Framework versions