Fine-tuning wav2vec2-xls-r-1b on Common Voice 13 for Frisian. 
Here are the training parameters: 

learning Rate: 0.00008,

per device train batch size:8,

gradient accumulation steps:8,

num_train_epochs: 50,

max_steps: 3600
{}
transformers pytorch wav2vec2 automatic-speech-recognition endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #endpoints_compatible #has_space #region-us 

Fine-tuning wav2vec2-xls-r-1b on Common Voice 13 for Frisian. 
Here are the training parameters: 

learning Rate: 0.00008,

per device train batch size:8,

gradient accumulation steps:8,

num_train_epochs: 50,

max_steps: 3600
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #endpoints_compatible #has_space #region-us 
