zionia/whisper-small-isizulu-1.1-speed

Whisper Small Isizulu-Asr-1.1-Speed

This model is a fine-tuned version of openai/whisper-small on the ISIZULU-ASR-1.1-SPEED dataset. It achieves the following results on the evaluation set:

• Loss: 1.3263
• Wer: 53.6

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: 32
• eval_batch_size: 16
• seed: 42
• optimizer: Use adamw_torch_fused 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: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0004	55.5556	1000	1.2327	53.8286
0.0001	111.1111	2000	1.2957	53.8286
0.0001	166.6667	3000	1.3263	53.6
0.0001	222.2222	4000	1.3378	54.1714

Framework versions

• Transformers 4.57.0
• Pytorch 2.8.0+cu128
• Datasets 4.2.0
• Tokenizers 0.22.1