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Whisper-FineTuned-DL-Twi

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metadata
library_name: transformers
language:
  - wi
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - custom-dataset
  - local-dataset
  - whisper
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: Whisper-FineTuned-DL-Twi
    results: []

Whisper-FineTuned-DL-Twi

This model is a fine-tuned version of openai/whisper-tiny on the Twi- native Ghanaian language. dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0063
  • Wer: 17.9909
  • Cer: 17.8277

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 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: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
0.0201 0.6333 1000 0.0259 40.8149 33.1641
0.006 1.2666 2000 0.0104 21.3751 15.7877
0.009 1.8999 3000 0.0070 17.9131 16.0698
0.0034 2.5332 4000 0.0063 17.9909 17.8277

Framework versions

  • Transformers 4.48.0.dev0
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0