update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 26.980130911344357
+      value: 28.502265773267748
 ---
 
 <!-- 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-medium](https://huggingface.co/openai/whisper-medium) on the common_voice_11_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4685
-- Wer: 26.9801
+- Loss: 0.4636
+- Wer: 28.5023
 
 ## Model description
 
@@ -58,7 +58,7 @@ 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: 40
-- training_steps: 200
+- training_steps: 300
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -67,6 +67,7 @@ The following hyperparameters were used during training:
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
 | 0.3908        | 0.48  | 100  | 0.5148          | 30.7061 |
 | 0.3519        | 0.97  | 200  | 0.4685          | 26.9801 |
+| 0.2426        | 1.45  | 300  | 0.4636          | 28.5023 |
 
 
 ### Framework versions