add readme only

README.md

@@ -1,8 +1,8 @@
 ---
 language:
-- danish
-- norwegian
-- swedish
+- 'no'
+- sv
+- da
 license: apache-2.0
 tags:
 - whisper-event
@@ -26,7 +26,23 @@ model-index:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: mozilla-foundation/common_voice_11_0 nn-NO
+      name: 'mozilla-foundation/common_voice_11_0 sv-SE
+
+        mozilla-foundation/common_voice_11_0 da
+
+        mozilla-foundation/common_voice_11_0 nn-NO
+
+        babelbox/babelbox_voice nst
+
+        NbAiLab/NST no-distant
+
+        NbAiLab/NPSC 16K_mp3_nynorsk
+
+        google/fleurs sv_se
+
+        google/fleurs da_dk
+
+        google/fleurs nb_no'
       type: mozilla-foundation/common_voice_11_0
       config: null
       split: None
@@ -34,46 +50,6 @@ model-index:
     - name: Wer
       type: wer
       value: 87.65957446808511
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: babelbox/babelbox_voice nst
-      type: babelbox/babelbox_voice
-    metrics:
-    - name: Wer
-      type: wer
-      value: 87.65957446808511
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: NbAiLab/NST no-distant
-      type: NbAiLab/NST
-    metrics:
-    - name: Wer
-      type: wer
-      value: 87.65957446808511
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: NbAiLab/NPSC 16K_mp3_nynorsk
-      type: NbAiLab/NPSC
-    metrics:
-    - name: Wer
-      type: wer
-      value: 87.65957446808511
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: google/fleurs nb_no
-      type: google/fleurs
-    metrics:
-    - name: Wer
-      type: wer
-      value: 87.65957446808511
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -81,7 +57,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Whisper Tiny Nordic
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_11_0 sv-SE, the mozilla-foundation/common_voice_11_0 da, the mozilla-foundation/common_voice_11_0 nn-NO, the babelbox/babelbox_voice nst, the NbAiLab/NST no-distant, the NbAiLab/NPSC 16K_mp3_nynorsk, the google/fleurs sv_se, the google/fleurs da_dk and the google/fleurs nb_no datasets.
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_11_0 sv-SE
+mozilla-foundation/common_voice_11_0 da
+mozilla-foundation/common_voice_11_0 nn-NO
+babelbox/babelbox_voice nst
+NbAiLab/NST no-distant
+NbAiLab/NPSC 16K_mp3_nynorsk
+google/fleurs sv_se
+google/fleurs da_dk
+google/fleurs nb_no dataset.
 It achieves the following results on the evaluation set:
 - Loss: 5.1226
 - Wer: 87.6596