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 [crossdelenna/whisper-base.en](https://huggingface.co/crossdelenna/whisper-base.en) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0003
-- Wer: 0.7305
+- Loss: 0.0002
+- Wer: 0.5704
 
 ## Model description
 
@@ -43,20 +43,17 @@ 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: 3500
+- training_steps: 2000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.0059        | 1.62  | 500  | 0.0068          | 1.7512 |
-| 0.0015        | 3.25  | 1000 | 0.0019          | 0.7906 |
-| 0.0009        | 4.87  | 1500 | 0.0007          | 0.8206 |
-| 0.0005        | 6.49  | 2000 | 0.0005          | 0.7605 |
-| 0.0004        | 8.12  | 2500 | 0.0004          | 0.7805 |
-| 0.0004        | 9.74  | 3000 | 0.0003          | 0.7305 |
-| 0.0004        | 11.36 | 3500 | 0.0003          | 0.7305 |
+| 0.0078        | 1.62  | 500  | 0.0067          | 1.1008 |
+| 0.0018        | 3.25  | 1000 | 0.0006          | 0.6404 |
+| 0.0002        | 4.87  | 1500 | 0.0002          | 0.5604 |
+| 0.0002        | 6.49  | 2000 | 0.0002          | 0.5704 |
 
 
 ### Framework versions