AigizK
/

wav2vec2-large-xls-r-300m-bashkir-cv7_opt

Automatic Speech Recognition

generated_from_trainer

hf-asr-leaderboard

mozilla-foundation/common_voice_7_0

robust-speech-event

Inference Endpoints

Model card Files Files and versions Community

AigizK commited on Feb 3, 2022

Commit

e762b30

•

1 Parent(s): b81fa7d

update wer/cer with LM after 60 epochs

Files changed (1) hide show

README.md +6 -3

README.md CHANGED Viewed

@@ -22,7 +22,10 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 0.04688827226909791
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,8 +38,8 @@ It achieves the following results on the evaluation set:
 - Training Loss: 0.268400
 - Validation Loss: 0.088252
 - WER without LM: 0.085588
-- WER with LM: 0.04688827226909791
-- CER with LM: 0.01121871653232625
 ## Model description

     metrics:
        - name: Test WER
          type: wer
+         value: 0.04440795062008041
+       - name: Test СER
+         type: сer
+         value: 0.010491234992390509
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 - Training Loss: 0.268400
 - Validation Loss: 0.088252
 - WER without LM: 0.085588
+- WER with LM: 0.04440795062008041
+- CER with LM: 0.010491234992390509
 ## Model description