Whisper small Lozi - Lozi ASR
This model is a fine-tuned version of simzacademy/whisper-small-tonga on the csikasote/Lozi dataset. It achieves the following results on the evaluation set:
- Loss: 1.0924
- Wer: 49.4069
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: 16
- seed: 42
- optimizer: Use OptimizerNames.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: 1500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0336 | 20.0 | 500 | 0.9876 | 50.9406 |
| 0.0006 | 40.0 | 1000 | 1.0734 | 48.9491 |
| 0.0004 | 60.0 | 1500 | 1.0924 | 49.4069 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
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