update model card README.md

README.md

@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the librispeech_asr dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.9280
-- Wer: 0.9561
+- Loss: 6.9251
+- Wer: 1.7858
 
 ## Model description
 
@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 5.3825        | 0.28  | 500  | 5.5398          | 0.9602 |
-| 4.6164        | 0.56  | 1000 | 4.8871          | 0.9781 |
-| 4.5587        | 0.84  | 1500 | 4.6683          | 1.0010 |
-| 4.3428        | 1.12  | 2000 | 4.4745          | 1.6443 |
-| 4.2545        | 1.4   | 2500 | 4.2854          | 1.3727 |
-| 4.0861        | 1.68  | 3000 | 4.1451          | 1.3667 |
-| 4.0882        | 1.96  | 3500 | 4.0432          | 1.2540 |
-| 3.5985        | 2.24  | 4000 | 4.0155          | 1.0706 |
-| 3.7731        | 2.52  | 4500 | 3.9633          | 1.0627 |
-| 3.6984        | 2.8   | 5000 | 3.9280          | 0.9561 |
+| 6.6487        | 0.28  | 500  | 6.8354          | 1.4719 |
+| 6.5662        | 0.56  | 1000 | 6.7877          | 0.9371 |
+| 6.4309        | 0.84  | 1500 | 6.7640          | 1.1317 |
+| 6.7123        | 1.12  | 2000 | 6.7907          | 1.9354 |
+| 6.7547        | 1.4   | 2500 | 6.7830          | 1.8854 |
+| 6.6726        | 1.68  | 3000 | 6.8211          | 1.9203 |
+| 6.6538        | 1.96  | 3500 | 6.8444          | 1.8235 |
+| 6.5693        | 2.24  | 4000 | 6.8873          | 1.8606 |
+| 6.7234        | 2.52  | 4500 | 6.8649          | 1.8126 |
+| 6.5104        | 2.8   | 5000 | 6.9251          | 1.7858 |
 
 
 ### Framework versions