a-deji/whisper-small-hausa

Whisper Small Hausa Fine-Tuned

This model is a fine-tuned version of openai/whisper-small on the Publica AI Hausa Dataset (184 hours) dataset. It achieves the following results on the evaluation set:

• Loss: 0.2238
• Wer: 13.8312

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 10000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1604	3.0183	1000	0.2238	13.8312

Framework versions

• Transformers 4.45.2
• Pytorch 2.9.1+cu128
• Datasets 4.4.1
• Tokenizers 0.20.3