--- language: - ja license: apache-2.0 library_name: peft tags: - whisper-sin2pi - generated_from_trainer - transformers datasets: - mozilla-foundation/common_voice_16_1 - google/fleurs - joujiboi/japanese-anime-speech base_model: openai/whisper-tiny model-index: - name: Whisper Tiny Ja - Sin2pi results: [] metrics: - wer pipeline_tag: automatic-speech-recognition --- # Whisper Tiny Ja - Sin2pi This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_16_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: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 100 - training_steps: 3000 - mixed_precision_training: Native AMP ### Training results ### Framework versions - PEFT 0.10.0 - Transformers 4.40.0.dev0 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2