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TG-Whisper-Small-FineTuned-DL-Twi

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metadata
library_name: transformers
language:
  - twi
license: apache-2.0
base_model: openai/whisper-small
tags:
  - custom-dataset
  - local-dataset
  - whisper
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: T6-Whisper-FineTuned-DL-Twi
    results: []

T6-Whisper-FineTuned-DL-Twi

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

  • Loss: 0.0077
  • Wer: 40.8733
  • Cer: 34.8904

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: 3000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
0.0308 0.6333 1000 0.0273 45.2786 35.2605
0.0068 1.2666 2000 0.0108 30.0399 23.6567
0.0038 1.8999 3000 0.0077 40.8733 34.8904

Framework versions

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