Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-medium-sna – AI Model by CasperMuz | AlphaNeural AI
You can deploy this model and start earning money today!
CasperMuz
/
whisper-medium-sna
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
sna
google/WaxalNLP
openai/whisper-medium
finetune
apache-2.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Whisper Medium Shona - Casper Muziri
This model is a fine-tuned version of
openai/whisper-medium
on the Google WAXAL dataset. It achieves the following results on the evaluation set:
Loss: 0.3686
Wer: 34.1551
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_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: 100
training_steps: 2500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.4150
0.5669
500
0.4356
39.3187
0.2997
1.1338
1000
0.3889
37.1597
0.2878
1.7007
1500
0.3701
35.7750
0.2059
2.2676
2000
0.3711
34.2115
0.2055
2.8345
2500
0.3686
34.1551
Framework versions
Transformers 5.10.1
Pytorch 2.12.0+cu130
Datasets 4.8.5
Tokenizers 0.22.2
