This model is a fine-tuned version of imTak/whisper_large_v3_ko_ft on the Zeroth-Korean dataset. It achieves the following results on the evaluation set:

Loss: 0.0670
Wer: 5.2703

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: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1068	0.7184	1000	0.1216	8.6132
0.0388	1.4368	2000	0.0905	5.3606
0.0089	2.1552	3000	0.0707	4.7282
0.0082	2.8736	4000	0.0670	5.2703

Framework versions

Transformers 4.45.0
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3

imTak/whisper_large_v3_turbo_Korean2

Whisper large v3 turbo Korean - imTak

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

imTak/
whisper_large_v3_turbo_Korean2