Update README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.33707865168539325
+      value: 0.24654023577652487
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 PolyAI/minds14 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.5694
-- Wer Ortho: 33.5185
-- Wer: 0.3371
+- Wer Ortho: 0.3715670436187399
+- Wer: 0.24654023577652487
 
 ## Model description
 
@@ -49,23 +49,7 @@ More information needed
 
 ## Training procedure
 
-### Training hyperparameters
 
-The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 16
-- eval_batch_size: 2
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: constant_with_warmup
-- lr_scheduler_warmup_steps: 50
-- training_steps: 500
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 0.0009        | 17.86 | 500  | 0.5694          | 33.5185   | 0.3371 |
 
 
 ### Framework versions