End of training

README.md

@@ -1,6 +1,6 @@
 ---
 language:
-- hi
+- eng
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
@@ -10,15 +10,15 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: Whisper Small Hi - Sanchit Gandhi
+- name: Whisper Small eng - Himanshu
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: Common Voice 11.0
+      name: NPTEL Sample dataset
       type: mozilla-foundation/common_voice_11_0
-      args: 'config: hi, split: test'
+      args: 'config: eng, split: test'
     metrics:
     - name: Wer
       type: wer
@@ -28,9 +28,9 @@ model-index:
 <!-- 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 eng - Himanshu
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the NPTEL Sample dataset dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.5925
 - Wer: 17.9209