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whisper-large-v3-turbo-urdu-betacodes-v2 – AI Model by noumankhan014 | AlphaNeural AI
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whisper-large-v3-turbo-urdu-betacodes-v2
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-large-v3-turbo
finetune
mit
endpoints_compatible
us
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whisper-large-v3-turbo-urdu-betacodes-v2
This model is a fine-tuned version of
openai/whisper-large-v3-turbo
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4522
Wer: 34.5456
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: 16
seed: 42
optimizer: Use OptimizerNames.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: 300
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.3952
0.1794
200
0.4973
33.1338
0.3865
0.3587
400
0.4956
33.7516
0.3242
0.5381
600
0.4851
33.5372
0.3098
0.7175
800
0.4522
34.5456
Framework versions
Transformers 4.48.3
Pytorch 2.12.1+cu130
Datasets 3.6.0
Tokenizers 0.21.4
