mn720/english

Whisper Small Luganda

This model is a fine-tuned version of openai/whisper-small on the Common Voice 15.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3827
• Wer: 40.4482

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• 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
0.6714	0.11	500	0.7162	66.8818
0.4726	0.23	1000	0.5434	54.5155
0.4208	0.34	1500	0.4767	49.1337
0.3882	0.45	2000	0.4404	45.2067
0.3736	0.56	2500	0.4166	44.0255
0.3387	0.68	3000	0.3994	41.2638
0.3403	0.79	3500	0.3886	41.0884
0.3088	0.9	4000	0.3827	40.4482

Framework versions

• Transformers 4.39.0.dev0
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2