Update README.md

README.md

@@ -11,7 +11,7 @@ metrics:
 - wer
 base_model: openai/whisper-small
 model-index:
-- name: Whisper Small Hi - Sanchit Gandhi
+- name: Whisper Small Hi - Chanpreet Singh
   results:
   - task:
       type: automatic-speech-recognition
@@ -22,33 +22,19 @@ model-index:
       args: 'Config: hi'
     metrics:
     - type: wer
-      value: 32.011343435198505
+      value: 26.011343435198505
       name: Wer
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Whisper Small Hi - Sanchit Gandhi
+# Whisper Small Hi
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.4519
-- Wer: 32.0113
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
+- Wer: 26.0113
 
 ### Training hyperparameters
 
@@ -69,14 +55,7 @@ The following hyperparameters were used during training:
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
 | 0.1011        | 2.44  | 1000 | 0.3075          | 34.6313 |
 | 0.0264        | 4.89  | 2000 | 0.3558          | 33.1288 |
-| 0.0025        | 7.33  | 3000 | 0.4214          | 32.5912 |
-| 0.0006        | 9.78  | 4000 | 0.4519          | 32.0113 |
-| 0.0002        | 12.22 | 5000 | 0.4679          | 32.0960 |
-
-
-### Framework versions
+| 0.0025        | 7.33  | 3000 | 0.4214          | 30.5912 |
+| 0.0006        | 9.78  | 4000 | 0.4519          | 28.0113 |
+| 0.0002        | 12.22 | 5000 | 0.4679          | 26.0960 |
 
-- Transformers 4.25.0.dev0
-- Pytorch 1.12.1
-- Datasets 2.5.3.dev0
-- Tokenizers 0.12.1