This model is a fine-tuned version of openai/whisper-small on the Common Voice 14.0, 15.0 and 16.1 dataset. It achieves the following results on the evaluation set:

Loss: 0.3536
Wer: 70.2194

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
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.4161	0.32	1000	0.4634	83.0040
0.2973	0.64	2000	0.3831	73.8176
0.229	0.97	3000	0.3536	70.2194

Framework versions

Transformers 4.39.0
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

linshoufan/linshoufan-whisper-small-nan-tw-pinyin-several-datasets

Whisper Small Taiwanese

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

linshoufan/
linshoufan-whisper-small-nan-tw-pinyin-several-datasets