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:
+- VladS159/common_voice_romanian_speech_synthesis
 metrics:
 - wer
 model-index:
-- name: Whisper_medium_ro_VladS_1000_steps_multi_gpu_25_02_2024
-  results: []
+- name: Whisper Medium Ro - Sarbu Vlad - multi gpu
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 16.1 + Romanian speech synthesis
+      type: VladS159/common_voice_romanian_speech_synthesis
+      args: 'config: ro, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 11.726235741444867
 ---
 
 <!-- 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_1000_steps_multi_gpu_25_02_2024
+# Whisper Medium Ro - Sarbu Vlad - multi gpu
 
-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 + Romanian speech synthesis dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1247
 - Wer: 11.7262