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ibrahimchristopher/
whisper-small-BG-tts-hausa

Name: whisper-small-BG-tts-hausa
Availability: InStock

automatic-speech-recognition

generated_from_trainer

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Hausa BG Finetuned Whisper Small - Ibrahim Ibrahim

This model is a fine-tuned version of openai/whisper-small on the Common Voice, Google Fleurs And Sample Of Bible Dataset dataset. It achieves the following results on the evaluation set:

Loss: 0.3793
Wer Ortho: 25.9471
Wer: 22.0554

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 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: 50
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.397	0.6658	500	0.4568	31.1958	27.1182
0.2204	1.3316	1000	0.3793	25.9471	22.0554

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3

ibrahimchristopher/whisper-small-BG-tts-hausa

Hausa BG Finetuned Whisper Small - Ibrahim Ibrahim

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ibrahimchristopher/
whisper-small-BG-tts-hausa