This model is a fine-tuned version of openai/whisper-small on the Common Voice 15, 16 dataset. It achieves the following results on the evaluation set:

Loss: 0.3416
Cer: 25.1639

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: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.3958	0.4660	1000	0.4066	30.3417
0.2337	0.9320	2000	0.3511	26.6925
0.1156	1.3979	3000	0.3464	26.7451
0.0799	1.8639	4000	0.3416	25.1639

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

momo103197/whisper-small-tw-nan

Whisper Small zh-TW - Fine-tune-nan

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

momo103197/
whisper-small-tw-nan