whisper-small-sw-bible

This model is a fine-tuned version of Lingua-Connect/whisper-small-sw-bible on the kazeric/Giriama_bible_dataset_no_split dataset. It achieves the following results on the evaluation set:

• Loss: 0.0840
• Wer Ortho: 7.3686
• Wer: 3.9888

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: 32
• 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: 50
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.0901	0.1397	50	0.0806	6.8887	3.7690
0.0954	0.2793	100	0.0830	7.2674	4.0340
0.0895	0.4190	150	0.0840	7.3686	3.9888

Framework versions

• Transformers 4.49.0
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.1