Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-tiny-telugu – AI Model by RITESHRAJKINTALI | AlphaNeural AI
You can deploy this model and start earning money today!
RITESHRAJKINTALI
/
whisper-tiny-telugu
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
whisper-tiny-telugu
This model is a fine-tuned version of
openai/whisper-tiny
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1637
Wer: 62.0551
Cer: 17.3931
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: 200
training_steps: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
0.5875
2.1099
500
0.3115
84.2326
31.2558
0.2483
4.2199
1000
0.1866
68.5851
19.6665
0.1501
6.3298
1500
0.1744
63.8489
18.8326
0.1108
8.4397
2000
0.1719
63.1295
17.6956
Framework versions
Transformers 5.13.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
