This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 zh-TW dataset. It achieves the following results on the evaluation set:

Loss: 0.2283
Wer: 41.9652

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: 64
eval_batch_size: 32
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: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0049	6.02	1000	0.2283	41.9652
0.0008	13.02	2000	0.2556	42.0266
0.0004	20.01	3000	0.2690	42.4156
0.0003	27.0	4000	0.2788	42.7840
0.0002	33.02	5000	0.2826	43.0297

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2

Jingmiao/whisper-small-zh_tw

Whisper Small Chinese (Taiwan)

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Jingmiao/
whisper-small-zh_tw