End of training

README.md

@@ -1,25 +1,25 @@
 ---
 library_name: transformers
 language:
-- hi
+- en
 license: apache-2.0
-base_model: openai/whisper-small
+base_model: openai/whisper-medium
 tags:
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_11_0
+- suhaibmasood/med-audio-3
 metrics:
 - wer
 model-index:
-- name: Whisper Small Hi - Sanchit Gandhi
+- name: Whisper Small en-Harpreet Singh
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: Common Voice 11.0
-      type: mozilla-foundation/common_voice_11_0
-      args: 'config: hi, split: test'
+      name: med-audio-3
+      type: suhaibmasood/med-audio-3
+      args: 'config: en, split: test'
     metrics:
     - name: Wer
       type: wer
@@ -29,9 +29,9 @@ 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 en-Harpreet Singh
 
-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-medium](https://huggingface.co/openai/whisper-medium) on the med-audio-3 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0384
 - Wer: 12.5604