--- library_name: transformers language: - ja license: apache-2.0 base_model: utakumi/Hubert-noisy_common_voice_debug tags: - automatic-speech-recognition - original_noisy_common_voice - generated_from_trainer model-index: - name: Hubert-noisy-ft-eval results: [] --- # Hubert-noisy-ft-eval This model is a fine-tuned version of [utakumi/Hubert-noisy_common_voice_debug](https://huggingface.co/utakumi/Hubert-noisy_common_voice_debug) on the ORIGINAL_NOISY_COMMON_VOICE - JA dataset. It achieves the following results on the evaluation set: - eval_loss: 1.1085 - eval_model_preparation_time: 0.0093 - eval_wer: 1.0 - eval_cer: 0.3247 - eval_runtime: 152.9105 - eval_samples_per_second: 32.444 - eval_steps_per_second: 4.061 - step: 0 ## 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: 0.0003 - train_batch_size: 16 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 32 - optimizer: Use adamw_torch 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: 12500 - num_epochs: 1.0 - mixed_precision_training: Native AMP ### Framework versions - Transformers 4.47.0.dev0 - Pytorch 2.5.1+cu124 - Datasets 3.1.0 - Tokenizers 0.20.3