update model card README.md

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8723
-- Wer: 46.2753
+- Loss: 0.7122
+- Wer: 40.2191
 
 ## Model description
 
@@ -43,15 +43,21 @@ 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: 4000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.9588        | 0.4   | 500  | 0.9800          | 52.9865 |
-| 0.8494        | 0.81  | 1000 | 0.8723          | 46.2753 |
+| 0.9597        | 0.4   | 500  | 0.9808          | 52.4616 |
+| 0.8161        | 0.81  | 1000 | 0.8366          | 43.4443 |
+| 0.6999        | 1.21  | 1500 | 0.7818          | 43.4467 |
+| 0.6235        | 1.61  | 2000 | 0.7511          | 40.5909 |
+| 0.5772        | 2.02  | 2500 | 0.7301          | 42.0866 |
+| 0.5506        | 2.42  | 3000 | 0.7210          | 41.3731 |
+| 0.5525        | 2.82  | 3500 | 0.7144          | 40.6223 |
+| 0.5081        | 3.23  | 4000 | 0.7122          | 40.2191 |
 
 
 ### Framework versions