YorubaASR2
This model is a fine-tuned version of neoform-ai/whisper-medium-yoruba on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8390
- Wer: 47.2047
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0145 | 3.8462 | 1000 | 0.8390 | 47.2047 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 3.2.0
- Tokenizers 0.19.1
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Dataset used to train EYEDOL/Yoruba-ASR2
Evaluation results
- Wer on Common Voice 17.0self-reported47.205