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

Loss: 0.0965
Wer: 9.3510
Cer: 4.1693

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: 5e-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: 4000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.1738	0.72	1000	0.2348	20.1777	8.0402
0.0601	1.44	2000	0.1447	16.1873	7.3218
0.0148	2.16	3000	0.1103	15.1784	7.6162
0.0155	2.87	4000	0.0965	9.3510	4.1693

Framework versions

Transformers 4.33.2
Pytorch 1.12.1
Datasets 2.14.5
Tokenizers 0.13.3

haseong8012/whisper-small-ko

Whisper Small Ko - haseong8012

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

haseong8012/
whisper-small-ko