--- language: - ja license: apache-2.0 base_model: openai/whisper-small tags: - hf-asr-leaderboard - generated_from_trainer datasets: - pxaudio/user_35621758bf084337aad673e1cc332d6f_model model-index: - name: PXAudio Whisper For user_35621758bf084337aad673e1cc332d6f results: [] --- # PXAudio Whisper For user_35621758bf084337aad673e1cc332d6f This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ja 0.1 dataset. ## 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: 100 ### Training results ### Framework versions - Transformers 4.33.3 - Pytorch 2.1.2+cu118 - Datasets 2.16.1 - Tokenizers 0.13.3