update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 122.36095346197501
+      value: 45.68657478305258
 ---
 
 <!-- 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-tiny](https://huggingface.co/openai/whisper-tiny) on the samromur_children dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.4991
-- Wer: 122.3610
+- Loss: 0.6322
+- Wer: 45.6866
 
 ## Model description
 
@@ -59,15 +59,18 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 1
-- training_steps: 1
+- lr_scheduler_warmup_steps: 500
+- training_steps: 1000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer      |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 3.7033        | 1.0   | 1    | 3.4991          | 122.3610 |
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 1.4343        | 0.25  | 250  | 1.5134          | 79.0199 |
+| 0.7719        | 0.5   | 500  | 0.8724          | 61.2047 |
+| 0.7181        | 0.75  | 750  | 0.6547          | 47.3201 |
+| 0.5734        | 1.0   | 1000 | 0.6322          | 45.6866 |
 
 
 ### Framework versions