add results to metadata

Signed-off-by: monica-sekoyan <[email protected]>

README.md

@@ -162,6 +162,624 @@ model-index:
     - name: Test WER
       type: wer
       value: 6.14
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: bg_bg
+      split: test
+      args:
+        language: bg
+    metrics:
+    - name: Test WER (Bg)
+      type: wer
+      value: 12.64
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: cs_cz
+      split: test
+      args:
+        language: cs
+    metrics:
+    - name: Test WER (Cs)
+      type: wer
+      value: 11.01
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: da_dk
+      split: test
+      args:
+        language: da
+    metrics:
+    - name: Test WER (Da)
+      type: wer
+      value: 18.41
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: de_de
+      split: test
+      args:
+        language: de
+    metrics:
+    - name: Test WER (De)
+      type: wer
+      value: 5.04
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: el_gr
+      split: test
+      args:
+        language: el
+    metrics:
+    - name: Test WER (El)
+      type: wer
+      value: 20.70
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: en_us
+      split: test
+      args:
+        language: en
+    metrics:
+    - name: Test WER (En)
+      type: wer
+      value: 4.85
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: es_419
+      split: test
+      args:
+        language: es
+    metrics:
+    - name: Test WER (Es)
+      type: wer
+      value: 3.45
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: et_ee
+      split: test
+      args:
+        language: et
+    metrics:
+    - name: Test WER (Et)
+      type: wer
+      value: 17.73
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: fi_fi
+      split: test
+      args:
+        language: fi
+    metrics:
+    - name: Test WER (Fi)
+      type: wer
+      value: 13.21
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: fr_fr
+      split: test
+      args:
+        language: fr
+    metrics:
+    - name: Test WER (Fr)
+      type: wer
+      value: 5.15
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: hr_hr
+      split: test
+      args:
+        language: hr
+    metrics:
+    - name: Test WER (Hr)
+      type: wer
+      value: 12.46
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: hu_hu
+      split: test
+      args:
+        language: hu
+    metrics:
+    - name: Test WER (Hu)
+      type: wer
+      value: 15.72
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: it_it
+      split: test
+      args:
+        language: it
+    metrics:
+    - name: Test WER (It)
+      type: wer
+      value: 3.00
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: lt_lt
+      split: test
+      args:
+        language: lt
+    metrics:
+    - name: Test WER (Lt)
+      type: wer
+      value: 20.35
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: lv_lv
+      split: test
+      args:
+        language: lv
+    metrics:
+    - name: Test WER (Lv)
+      type: wer
+      value: 22.84
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: mt_mt
+      split: test
+      args:
+        language: mt
+    metrics:
+    - name: Test WER (Mt)
+      type: wer
+      value: 20.46
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: nl_nl
+      split: test
+      args:
+        language: nl
+    metrics:
+    - name: Test WER (Nl)
+      type: wer
+      value: 7.48
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: pl_pl
+      split: test
+      args:
+        language: pl
+    metrics:
+    - name: Test WER (Pl)
+      type: wer
+      value: 7.31
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: pt_br
+      split: test
+      args:
+        language: pt
+    metrics:
+    - name: Test WER (Pt)
+      type: wer
+      value: 4.76
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: ro_ro
+      split: test
+      args:
+        language: ro
+    metrics:
+    - name: Test WER (Ro)
+      type: wer
+      value: 12.44
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: ru_ru
+      split: test
+      args:
+        language: ru
+    metrics:
+    - name: Test WER (Ru)
+      type: wer
+      value: 5.51
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: sk_sk
+      split: test
+      args:
+        language: sk
+    metrics:
+    - name: Test WER (Sk)
+      type: wer
+      value: 8.82
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: sl_si
+      split: test
+      args:
+        language: sl
+    metrics:
+    - name: Test WER (Sl)
+      type: wer
+      value: 24.03
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: sv_se
+      split: test
+      args:
+        language: sv
+    metrics:
+    - name: Test WER (Sv)
+      type: wer
+      value: 15.08
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: google/fleurs
+      config: uk_ua
+      split: test
+      args:
+        language: uk
+    metrics:
+    - name: Test WER (Uk)
+      type: wer
+      value: 6.79
+  # Multilingual LibriSpeech ASR Results
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: Multilingual LibriSpeech
+      type: facebook/multilingual_librispeech
+      config: spanish
+      split: test
+      args:
+        language: es
+    metrics:
+    - name: Test WER (Es)
+      type: wer
+      value: 4.39
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: Multilingual LibriSpeech
+      type: facebook/multilingual_librispeech
+      config: french
+      split: test
+      args:
+        language: fr
+    metrics:
+    - name: Test WER (Fr)
+      type: wer
+      value: 4.97
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: Multilingual LibriSpeech
+      type: facebook/multilingual_librispeech
+      config: italian
+      split: test
+      args:
+        language: it
+    metrics:
+    - name: Test WER (It)
+      type: wer
+      value: 10.08
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: Multilingual LibriSpeech
+      type: facebook/multilingual_librispeech
+      config: dutch
+      split: test
+      args:
+        language: nl
+    metrics:
+    - name: Test WER (Nl)
+      type: wer
+      value: 12.78
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: Multilingual LibriSpeech
+      type: facebook/multilingual_librispeech
+      config: polish
+      split: test
+      args:
+        language: pl
+    metrics:
+    - name: Test WER (Pl)
+      type: wer
+      value: 7.28
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: Multilingual LibriSpeech
+      type: facebook/multilingual_librispeech
+      config: portuguese
+      split: test
+      args:
+        language: pt
+    metrics:
+    - name: Test WER (Pt)
+      type: wer
+      value: 7.50
+  # CoVoST2 ASR Results
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: CoVoST2
+      type: covost2
+      config: de
+      split: test
+      args:
+        language: de
+    metrics:
+    - name: Test WER (De)
+      type: wer
+      value: 4.84
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: CoVoST2
+      type: covost2
+      config: en
+      split: test
+      args:
+        language: en
+    metrics:
+    - name: Test WER (En)
+      type: wer
+      value: 6.80
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: CoVoST2
+      type: covost2
+      config: es
+      split: test
+      args:
+        language: es
+    metrics:
+    - name: Test WER (Es)
+      type: wer
+      value: 3.41
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: CoVoST2
+      type: covost2
+      config: et
+      split: test
+      args:
+        language: et
+    metrics:
+    - name: Test WER (Et)
+      type: wer
+      value: 22.04
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: CoVoST2
+      type: covost2
+      config: fr
+      split: test
+      args:
+        language: fr
+    metrics:
+    - name: Test WER (Fr)
+      type: wer
+      value: 6.05
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: CoVoST2
+      type: covost2
+      config: it
+      split: test
+      args:
+        language: it
+    metrics:
+    - name: Test WER (It)
+      type: wer
+      value: 3.69
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: CoVoST2
+      type: covost2
+      config: lv
+      split: test
+      args:
+        language: lv
+    metrics:
+    - name: Test WER (Lv)
+      type: wer
+      value: 38.36
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: CoVoST2
+      type: covost2
+      config: nl
+      split: test
+      args:
+        language: nl
+    metrics:
+    - name: Test WER (Nl)
+      type: wer
+      value: 6.50
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: CoVoST2
+      type: covost2
+      config: pt
+      split: test
+      args:
+        language: pt
+    metrics:
+    - name: Test WER (Pt)
+      type: wer
+      value: 3.96
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: CoVoST2
+      type: covost2
+      config: ru
+      split: test
+      args:
+        language: ru
+    metrics:
+    - name: Test WER (Ru)
+      type: wer
+      value: 3.00
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: CoVoST2
+      type: covost2
+      config: sl
+      split: test
+      args:
+        language: sl
+    metrics:
+    - name: Test WER (Sl)
+      type: wer
+      value: 31.80
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: CoVoST2
+      type: covost2
+      config: sv
+      split: test
+      args:
+        language: sv
+    metrics:
+    - name: Test WER (Sv)
+      type: wer
+      value: 20.16
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: CoVoST2
+      type: covost2
+      config: uk
+      split: test
+      args:
+        language: uk
+    metrics:
+    - name: Test WER (Uk)
+      type: wer
+      value: 5.10
 metrics:
 - wer
 ---