dkt-py-bot/TG-Whisper-Small-FineTuned-DL-Twi

T6-Whisper-FineTuned-DL-Twi

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

• Loss: 0.0077
• Wer: 40.8733
• Cer: 34.8904

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: 3000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.0308	0.6333	1000	0.0273	45.2786	35.2605
0.0068	1.2666	2000	0.0108	30.0399	23.6567
0.0038	1.8999	3000	0.0077	40.8733	34.8904

Framework versions

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