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

simzacademy/whisper-small-lozi1

Whisper small Lozi - Lozi ASR

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

simzacademy/
whisper-small-lozi1