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whisper-tiny-for-nigerian-common-languages

Automatic Speech Recognition
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whisper
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metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper-tiny-for-nigerian-common-languages
    results: []

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