End of training

README.md

@@ -1,21 +1,37 @@
 ---
+language:
+- ro
 license: apache-2.0
 base_model: openai/whisper-medium
 tags:
+- hf-asr-leaderboard
 - generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_16_1
 metrics:
 - wer
 model-index:
-- name: Whisper_medium_ro_VladS_02_16_24_1500_steps_multi_gpu
-  results: []
+- name: Whisper Medium Ro - Sarbu Vlad
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 16.1
+      type: mozilla-foundation/common_voice_16_1
+      args: 'config: ro, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 12.10333666091902
 ---
 
 <!-- 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_ro_VladS_02_16_24_1500_steps_multi_gpu
+# Whisper Medium Ro - Sarbu Vlad
 
-This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 16.1 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1719
 - Wer: 12.1033