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whisper-tiny-for-nigerian-common-languages – AI Model by benjaminogbonna | AlphaNeural AI
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benjaminogbonna
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whisper-tiny-for-nigerian-common-languages
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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
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: 0.1096
Wer: 86.2787
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
4.6091
0.7143
100
0.2441
105.2157
0.1921
1.4286
200
0.1646
105.6208
0.1473
2.1429
300
0.1348
89.4652
0.12
2.8571
400
0.1194
91.8664
0.0936
3.5714
500
0.1096
86.2787
Framework versions
Transformers 4.50.1
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
