Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
multilingual-whisper-v3-turbo-nchlt – AI Model by sitwala | AlphaNeural AI
You can deploy this model and start earning money today!
sitwala
/
multilingual-whisper-v3-turbo-nchlt
like
0
transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-large-v3-turbo
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
multilingual-whisper-v3-turbo-nchlt
This model is a fine-tuned version of
openai/whisper-large-v3-turbo
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2263
Wer: 0.1647
Cer: 0.0453
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: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
training_steps: 2000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
0.3933
1.0215
500
0.3577
0.2719
0.0586
0.1124
2.043
1000
0.2711
0.1921
0.0402
0.0602
3.0645
1500
0.2412
0.1727
0.0387
0.026
4.086
2000
0.2263
0.1647
0.0453
Framework versions
Transformers 4.52.0
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.4
