whisper-swahili-small

This model is a fine-tuned version of PaschalK/swahili-whisper-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3392
• Wer: 24.1789

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2967	0.43	1000	0.4357	29.2499
0.2754	0.87	2000	0.3660	24.9526
0.1482	1.3	3000	0.3488	24.8468
0.1358	1.74	4000	0.3392	24.1789

Framework versions

• Transformers 4.33.0.dev0
• Pytorch 2.0.1+cu117
• Datasets 2.14.3
• Tokenizers 0.13.3