update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 63.62742130750605
+      value: 63.10532687651331
 ---
 
 <!-- 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 fleurs dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0214
-- Wer: 63.6274
+- Loss: 1.0063
+- Wer: 63.1053
 
 ## Model description
 
@@ -60,7 +60,7 @@ 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: 10
-- training_steps: 600
+- training_steps: 700
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -73,6 +73,7 @@ The following hyperparameters were used during training:
 | 0.8882        | 57.14 | 400  | 1.0769          | 66.4290 |
 | 0.8609        | 71.43 | 500  | 1.0575          | 66.1965 |
 | 0.8262        | 85.71 | 600  | 1.0214          | 63.6274 |
+| 0.7989        | 100.0 | 700  | 1.0063          | 63.1053 |
 
 
 ### Framework versions