Whisper-FineTuned-DL-Twi

This model is a fine-tuned version of openai/whisper-tiny on the Twi- native Ghanaian language. dataset. It achieves the following results on the evaluation set:

• Loss: 0.0063
• Wer: 17.9909
• Cer: 17.8277

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: 8
• 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: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.0201	0.6333	1000	0.0259	40.8149	33.1641
0.006	1.2666	2000	0.0104	21.3751	15.7877
0.009	1.8999	3000	0.0070	17.9131	16.0698
0.0034	2.5332	4000	0.0063	17.9909	17.8277

Framework versions

• Transformers 4.48.0.dev0
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0