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-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.7247
-- Wer: 120.2594
+- Loss: 5.0046
+- Wer: 116.8945
 
 ## Model description
 
@@ -43,17 +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: 4000
+- training_steps: 8000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer      |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.5008        | 4.95  | 1000 | 3.6130          | 125.8325 |
-| 0.0343        | 9.9   | 2000 | 4.4003          | 130.4592 |
-| 0.0012        | 14.85 | 3000 | 4.6951          | 122.2923 |
-| 0.0004        | 19.8  | 4000 | 4.7247          | 120.2594 |
+| 1.5232        | 4.95  | 1000 | 3.6227          | 127.2695 |
+| 0.0538        | 9.9   | 2000 | 4.3761          | 125.3417 |
+| 0.0166        | 14.85 | 3000 | 4.6306          | 114.6863 |
+| 0.0008        | 19.8  | 4000 | 4.7625          | 116.3687 |
+| 0.0022        | 24.75 | 5000 | 4.9290          | 116.0182 |
+| 0.0002        | 29.7  | 6000 | 4.9100          | 118.2264 |
+| 0.0001        | 34.65 | 7000 | 4.9886          | 116.5089 |
+| 0.0001        | 39.6  | 8000 | 5.0046          | 116.8945 |
 
 
 ### Framework versions