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Whisper-urdu-fyp – AI Model by Abdullah-g | AlphaNeural AI
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Whisper-urdu-fyp
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper-urdu-fyp
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: 0.8657
Wer: 34.6530
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 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: 500
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1236
3.8610
1000
0.6080
39.0921
0.0078
7.7220
2000
0.7403
35.5548
0.0018
11.5830
3000
0.8129
34.7034
0.0004
15.4440
4000
0.8521
34.5563
0.0003
19.3050
5000
0.8657
34.6530
Framework versions
Transformers 4.46.3
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3
