End of training

README.md

@@ -1,21 +1,23 @@
 ---
+language:
+- sr
 license: apache-2.0
 base_model: openai/whisper-large-v3
 tags:
 - generated_from_trainer
 datasets:
-- common_voice_16_1
+- mozilla-foundation/common_voice_16_1
 metrics:
 - wer
 model-index:
-- name: whisper-large-sr-v2
+- name: Whisper Large v2
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice_16_1
-      type: common_voice_16_1
+      name: Common Voice 16.1
+      type: mozilla-foundation/common_voice_16_1
       config: sr
       split: test
       args: sr
@@ -28,9 +30,9 @@ 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-large-sr-v2
+# Whisper Large v2
 
-This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the common_voice_16_1 dataset.
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Common Voice 16.1 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1401
 - Wer Ortho: 0.1663