whisper-tiny-tok-test

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Whisper Tiny - Toki Pona - Test1

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

• eval_loss: 0.1740
• eval_wer: 12.7012
• eval_runtime: 496.4702
• eval_samples_per_second: 4.528
• eval_steps_per_second: 0.566
• epoch: 3.9216
• step: 600

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: 200
• training_steps: 1000
• mixed_precision_training: Native AMP

Framework versions

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