This model is a fine-tuned version of EYEDOL/whisper-tiny-yoruba2 on the EYEDOL/naija-voices-yoruba-split_0-6 dataset. It achieves the following results on the evaluation set:

Loss: 0.7111
Wer Ortho: 0.7096
Wer: 0.6293

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: 32
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 0.1
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
1.4417	1.0	583	0.7132	0.7172	0.6352
1.3179	2.0	1166	0.7039	0.6964	0.6110
1.2151	3.0	1749	0.7038	0.7101	0.6275
1.1268	4.0	2332	0.7058	0.7037	0.6166
1.0504	5.0	2915	0.7111	0.7096	0.6293

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2