This model is a fine-tuned version of openai/whisper-small on the dsfsi-anv/za-african-next-voices dataset. It achieves the following results on the evaluation set:

Loss: 0.4544
Wer: 36.0631

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: 64
eval_batch_size: 64
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: constant_with_warmup
lr_scheduler_warmup_steps: 75
training_steps: 500
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.5667	0.3333	250	0.5901	46.0429
0.3747	1.328	500	0.4832	34.6368
0.272	2.3227	750	0.4544	36.0631

Framework versions

Transformers 4.52.0
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.4

dsfsi-anv/whisper-small-anv-zulu-first-batch

Whisper whisper-small zulu multilingual

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

dsfsi-anv/
whisper-small-anv-zulu-first-batch