--- license: apache-2.0 base_model: openai/whisper-small tags: - generated_from_trainer model-index: - name: ko-address-whisper-small-5e-6 results: [] --- # ko-address-whisper-small-5e-6 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. It achieves the following results on the evaluation set: - eval_loss: 0.0484 - eval_cer: 0.9441 - eval_runtime: 3023.3682 - eval_samples_per_second: 3.842 - eval_steps_per_second: 0.24 - epoch: 0.4861 - step: 2000 ## 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-06 - train_batch_size: 16 - eval_batch_size: 16 - 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: 8000 - mixed_precision_training: Native AMP ### Framework versions - Transformers 4.41.0.dev0 - Pytorch 2.3.0+cu121 - Datasets 2.19.0 - Tokenizers 0.19.1