update model card README.md

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 55.14171770403077
+      value: 45.79238475051037
 ---
 
 <!-- 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-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1981
-- Wer: 55.1417
+- Loss: 0.1541
+- Wer: 45.7924
 
 ## Model description
 
@@ -61,13 +61,14 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
-- training_steps: 500
+- training_steps: 1000
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.1886        | 0.27  | 500  | 0.1981          | 55.1417 |
+| 0.1886        | 0.27  | 500  | 0.1979          | 55.0385 |
+| 0.1442        | 0.53  | 1000 | 0.1541          | 45.7924 |
 
 
 ### Framework versions