whisper-small-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: 0.0056
• Wer: 21.9877
• Cer: 19.3600

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
0.0228	0.5701	1000	0.0239	31.6736	25.7396
0.0055	1.1403	2000	0.0089	19.4690	14.9189
0.0028	1.7104	3000	0.0061	27.2975	22.3501
0.0034	2.2805	4000	0.0056	21.9877	19.3600

Framework versions

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