This model is a fine-tuned version of openai/whisper-large-v3-turbo on the dsfsi-anv/za-african-next-voices dataset. It achieves the following results on the evaluation set:

Loss: 0.1287
Wer: 16.8840

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: 100
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2741	0.2	200	0.2627	18.7700
0.2048	0.4	400	0.1843	14.6258
0.22	0.6	600	0.1821	12.5586
0.1919	0.8	800	0.1386	10.1534
0.162	1.0	1000	0.1287	16.8840

Framework versions

Transformers 4.52.0
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.4

dsfsi-anv/whisper-large-v3-turbo-anv-tsn

Whisper whisper-large-v3-turbo tsn

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

dsfsi-anv/
whisper-large-v3-turbo-anv-tsn