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TG-Whisper-Tiny-FineTuned-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: T6-Whisper-FineTuned-DL-Twi
    results: []

T6-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: 23.4562
  • Cer: 21.7611

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
0.025 0.6333 1000 0.0285 27.9879 21.3775
0.0083 1.2666 2000 0.0094 20.4318 17.7329
0.0058 1.8999 3000 0.0072 19.5177 17.5028
0.0012 2.5332 4000 0.0063 23.4562 21.7611

Framework versions

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