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

Loss: 0.2434
Wer: 17.8464

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: 32
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1650	1.187	500	0.2532	18.4502
0.0415	3.061	1000	0.2434	17.8464

Framework versions

Transformers 5.7.0
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2

Sonhy/whisper-medium-korean-foreign-1

Whisper-medium-ko-foreign-1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Sonhy/
whisper-medium-korean-foreign-1