update model card README.md

README.md

@@ -10,7 +10,7 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: Whisper Small Hi - Auro Tripathy
+- name: Whisper Small Hi - Sanchit Gandhi
   results:
   - task:
       name: Automatic Speech Recognition
@@ -18,24 +18,24 @@ model-index:
     dataset:
       name: Common Voice 11.0
       type: mozilla-foundation/common_voice_11_0
-      config: hi
+      config: or
       split: test
       args: 'config: hi, split: test'
     metrics:
     - name: Wer
       type: wer
-      value: 32.117159062050284
+      value: 60.045792787635946
 ---
 
 <!-- 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 - Auro Tripathy
+# Whisper Small Hi - Sanchit Gandhi
 
 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: 0.4288
-- Wer: 32.1172
+- Loss: 0.7019
+- Wer: 60.0458
 
 ## Model description
 
@@ -68,10 +68,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0884        | 2.44  | 1000 | 0.2912          | 33.9160 |
-| 0.0217        | 4.89  | 2000 | 0.3463          | 33.1245 |
-| 0.0015        | 7.33  | 3000 | 0.4064          | 32.1087 |
-| 0.0005        | 9.78  | 4000 | 0.4288          | 32.1172 |
+| 0.0048        | 20.0  | 1000 | 0.3577          | 60.3892 |
+| 0.0001        | 40.0  | 2000 | 0.4971          | 60.0458 |
+| 0.0001        | 60.0  | 3000 | 0.6355          | 60.6754 |
+| 0.0001        | 80.0  | 4000 | 0.7019          | 60.0458 |
 
 
 ### Framework versions