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whisper-tiny-for-nigerian-common-languages-demo – AI Model by benjaminogbonna | AlphaNeural AI
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benjaminogbonna
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whisper-tiny-for-nigerian-common-languages-demo
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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whisper-tiny-for-nigerian-common-languages-demo
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: 0.1055
Wer: 91.8330
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: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
4.7627
0.8403
100
0.2591
125.4105
0.2079
1.6807
200
0.1668
115.2902
0.1463
2.5210
300
0.1333
101.8129
0.1136
3.3613
400
0.1161
96.5452
0.0975
4.2017
500
0.1055
91.8330
Framework versions
Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
