End of training

README.md

@@ -1,25 +1,27 @@
 ---
 library_name: transformers
+language:
+- bn
 license: apache-2.0
 base_model: openai/whisper-medium
 tags:
 - generated_from_trainer
 datasets:
-- common_voice_17_0
+- mozilla-foundation/common_voice_17_0
 metrics:
 - wer
 model-index:
-- name: whisper-medium-bn-cv17
+- name: Whisper Medium Bengali
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice_17_0
-      type: common_voice_17_0
+      name: Common Voice 17.0
+      type: mozilla-foundation/common_voice_17_0
       config: bn
       split: test
-      args: bn
+      args: 'config: bn, split: test'
     metrics:
     - name: Wer
       type: wer
@@ -29,9 +31,9 @@ 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-medium-bn-cv17
+# Whisper Medium Bengali
 
-This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the common_voice_17_0 dataset.
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 17.0 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0895
 - Wer: 82.0349