--- library_name: transformers tags: - generated_from_trainer model-index: - name: Whisper-Large-v3-turbo-STT-Zeroth-KO-v2 results: [] --- # Whisper-Large-v3-turbo-STT-Zeroth-KO-v2 This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - eval_loss: 0.0164 - eval_wer: 19.9134 - eval_cer: 0.0660 - eval_runtime: 147.6002 - eval_samples_per_second: 4.851 - eval_steps_per_second: 0.61 - epoch: 2.3129 - step: 11000 ## 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: 2 - eval_batch_size: 8 - seed: 42 - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 500 - training_steps: 12000 ### Framework versions - Transformers 4.48.2 - Pytorch 2.6.0+cu124 - Datasets 3.2.0 - Tokenizers 0.21.0