update model card README.md

README.md

@@ -10,7 +10,7 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: Whisper Small Hi - Sanchit Gandhi
+- name: Whisper Small Odia - Auro Tripathy with tips from Sanchit language None
   results:
   - task:
       name: Automatic Speech Recognition
@@ -24,18 +24,18 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 57.355466514024044
+      value: 59.75958786491128
 ---
 
 <!-- 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 Odia - Auro Tripathy with tips from Sanchit language None
 
 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: 0.5742
-- Wer: 57.3555
+- Loss: 0.5753
+- Wer: 59.7596
 
 ## Model description
 
@@ -68,15 +68,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0063        | 20.0  | 1000 | 0.3779          | 62.1065 |
-| 0.0006        | 40.0  | 2000 | 0.4340          | 58.5575 |
-| 0.0001        | 60.0  | 3000 | 0.5214          | 57.2410 |
-| 0.0           | 80.0  | 4000 | 0.5742          | 57.3555 |
+| 0.0036        | 20.0  | 1000 | 0.3950          | 60.8472 |
+| 0.0016        | 40.0  | 2000 | 0.4374          | 61.1906 |
+| 0.0001        | 60.0  | 3000 | 0.5229          | 59.5306 |
+| 0.0           | 80.0  | 4000 | 0.5753          | 59.7596 |
 
 
 ### Framework versions
 
 - Transformers 4.26.0.dev0
-- Pytorch 1.13.0
-- Datasets 2.7.1
+- Pytorch 1.13.1+cu117
+- Datasets 2.7.1.dev0
 - Tokenizers 0.13.2