--- language: - yue license: apache-2.0 base_model: openai/whisper-small tags: - generated_from_trainer model-index: - name: Whisper Small Jyutping without Tones results: [] --- # Whisper Small Jyutping without Tones This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 14.0 dataset. It achieves the following results on the evaluation set: - eval_loss: 0.0701 - eval_wer: 9.8213 - eval_runtime: 1761.3114 - eval_samples_per_second: 1.453 - eval_steps_per_second: 0.182 - epoch: 0.78 - step: 1000 ## 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 ### Framework versions - Transformers 4.34.0.dev0 - Pytorch 2.0.1 - Datasets 2.14.5 - Tokenizers 0.13.3