anjulRajendraSharma
/

WavLm-base-en

Automatic Speech Recognition

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

Anjul Rajendra Sharma commited on Jan 28, 2022

Commit

4d7d181

•

1 Parent(s): 59a0bb3

Update README.md

Files changed (1) hide show

README.md +4 -4

README.md CHANGED Viewed

@@ -1,19 +1,19 @@
 ---
 tags:
 - automatic-speech-recognition
-- librispeech_asr
 - generated_from_trainer
 model-index:
-- name: wavlm-libri-clean-100h-base
   results: []
 ---
 <!-- 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. -->
-# wavlm-libri-clean-100h-base
-This model is a fine-tuned version of [microsoft/wavlm-base](https://huggingface.co/microsoft/wavlm-base) on the LIBRISPEECH_ASR - CLEAN dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0955
 - Wer: 0.0773

 ---
 tags:
 - automatic-speech-recognition
+- english_asr
 - generated_from_trainer
 model-index:
+- name: wavlm-base-english
   results: []
 ---
 <!-- 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. -->
+# wavlm-base-english
+This model is a fine-tuned version of [microsoft/wavlm-base](https://huggingface.co/microsoft/wavlm-base) on the english_ASR - CLEAN dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0955
 - Wer: 0.0773