Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
mms-300m-sna-gbotemi – AI Model by waxal-benchmarking | AlphaNeural AI
You can deploy this model and start earning money today!
waxal-benchmarking
/
mms-300m-sna-gbotemi
like
0
transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/mms-300m
finetune
cc-by-nc-4.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
mms-300m-sna-gbotemi
This model is a fine-tuned version of
facebook/mms-300m
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: inf
Wer: 1.0
Cer: 1.0
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: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 500
num_epochs: 30
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
64.0628
1.1711
500
inf
1.0
1.0
23.6506
2.3421
1000
inf
1.0
1.0
37.1426
3.5132
1500
inf
1.0
1.0
23.6035
4.6842
2000
inf
1.0
1.0
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
