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whisper-small-DL-Twi

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

whisper-small-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: 0.0056
  • Wer: 21.9877
  • Cer: 19.3600

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
0.0228 0.5701 1000 0.0239 31.6736 25.7396
0.0055 1.1403 2000 0.0089 19.4690 14.9189
0.0028 1.7104 3000 0.0061 27.2975 22.3501
0.0034 2.2805 4000 0.0056 21.9877 19.3600

Framework versions

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