Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-small-sw – AI Model by oxygeneDev | AlphaNeural AI
You can deploy this model and start earning money today!
oxygeneDev
/
whisper-small-sw
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
sw
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Whisper Small Swahili - Oxygene
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.4492
Wer: 30.0239
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: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use 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: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.4789
0.4342
1000
0.5843
37.5957
0.3985
0.8684
2000
0.4846
31.9413
0.2349
1.3026
3000
0.4658
31.1056
0.2273
1.7369
4000
0.4492
30.0239
Framework versions
Transformers 4.48.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
