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

Loss: 0.6744
Cer: 22.0296

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
training_steps: 2000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.2594	2.99	1000	0.5468	22.6648
0.0255	5.99	2000	0.6744	22.0296

Framework versions

Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

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

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