Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
mms-asr-Yoruba-adapter – AI Model by eddyejembi | AlphaNeural AI
You can deploy this model and start earning money today!
eddyejembi
/
mms-asr-Yoruba-adapter
like
0
transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
common_voice_17_0
facebook/mms-1b-all
finetune
cc-by-nc-4.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
mms-asr-Yoruba-adapter
This model is a fine-tuned version of
facebook/mms-1b-all
on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
Loss: 0.7026
Wer: 0.7517
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.001
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
4.7886
1.5385
100
0.7594
0.7854
0.7335
3.0769
200
0.7026
0.7517
Framework versions
Transformers 4.49.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
