update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 32.329084588644264
+      value: 0.24361948955916474
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ 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: 0.6796
-- Wer Ortho: 32.6087
-- Wer: 32.3291
+- Loss: 0.5973
+- Wer Ortho: 0.2520
+- Wer: 0.2436
 
 ## Model description
 
@@ -64,9 +64,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.0007        | 17.86 | 500  | 0.6796          | 32.6087   | 32.3291 |
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 0.292         | 3.57  | 100  | 0.4495          | 0.2665    | 0.2512 |
+| 0.0387        | 7.14  | 200  | 0.4957          | 0.2732    | 0.2604 |
+| 0.0053        | 10.71 | 300  | 0.5469          | 0.2538    | 0.2448 |
+| 0.0013        | 14.29 | 400  | 0.5758          | 0.2580    | 0.2506 |
+| 0.0008        | 17.86 | 500  | 0.5973          | 0.2520    | 0.2436 |
 
 
 ### Framework versions