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
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Base model
openai/whisper-tiny