update model card README.md

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 5.563422365412595
+      value: 5.421819787985865
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,8 +34,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1679
-- Wer: 5.5634
+- Loss: 0.1672
+- Wer: 5.4218
 
 ## Model description
 
@@ -61,14 +61,16 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 1000
+- training_steps: 3000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.0721        | 1.0   | 1000 | 0.1679          | 5.5634 |
+| 0.0792        | 0.33  | 1000 | 0.1904          | 6.0493 |
+| 0.0851        | 0.67  | 2000 | 0.1757          | 5.9558 |
+| 0.0946        | 1.0   | 3000 | 0.1672          | 5.4218 |
 
 
 ### Framework versions