Tomeno/whisper-small-tok-test-prelim

Whisper Small - Toki Pona - Test1

This model is a fine-tuned version of openai/whisper-small on the Common Voice 23.0 - Toki Pona dataset. It achieves the following results on the evaluation set:

• Loss: 0.1480
• Wer: 11.1247

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: 32
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.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: 50
• training_steps: 300
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.6651	0.3268	50	0.3995	24.0220
0.1707	0.6536	100	0.2032	14.5477
0.1228	0.9804	150	0.1668	13.4474
0.0699	1.3072	200	0.1560	11.2469
0.0691	1.6340	250	0.1524	11.4914
0.0751	1.9608	300	0.1480	11.1247

Framework versions

• Transformers 4.50.3
• Pytorch 2.8.0+cu126
• Datasets 3.6.0
• Tokenizers 0.21.4