update model card README.md

README.md

@@ -1,38 +1,41 @@
 ---
+language:
+- sk
 license: apache-2.0
 tags:
+- whisper-event
 - generated_from_trainer
 datasets:
-- common_voice_11_0
+- mozilla-foundation/common_voice_11_0
 metrics:
 - wer
 model-index:
-- name: openai/whisper-medium
+- name: Whisper Medium Slovak CV11
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice_11_0
-      type: common_voice_11_0
+      name: mozilla-foundation/common_voice_11_0 sk
+      type: mozilla-foundation/common_voice_11_0
       config: sk
       split: test
       args: sk
     metrics:
     - name: Wer
       type: wer
-      value: 23.453117563065206
+      value: 23.14374107567825
 ---
 
 <!-- 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. -->
 
-# openai/whisper-medium
+# Whisper Medium Slovak CV11
 
-This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) 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 mozilla-foundation/common_voice_11_0 sk dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4753
-- Wer: 23.4531
+- Loss: 0.3982
+- Wer: 23.1437
 
 ## Model description
 

run.log

@@ -1956,3 +1956,8 @@ To https://huggingface.co/mikr/whisper-medium-sk-cv11
   eval_samples_per_second =      2.912
   eval_steps_per_second   =      0.091
   eval_wer                =    23.1437
+12/20/2022 10:24:25 - WARNING - huggingface_hub.repository - remote: Scanning LFS files for validity, may be slow...        
+remote: LFS file scan complete.        
+To https://huggingface.co/mikr/whisper-medium-sk-cv11
+   3a75bdf..a641f8a  main -> main
+