--- language: - zh license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 model-index: - name: Whisper Small Chinese results: [] --- # Whisper Small Chinese This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0 zh-CN dataset. It achieves the following results on the evaluation set: - Loss: 0.3226 - Cer: 10.9782 ## 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: 10000 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Cer | |:-------------:|:-----:|:-----:|:---------------:|:-------:| | 0.3998 | 0.1 | 1000 | 0.2898 | 19.1261 | | 0.2414 | 1.07 | 2000 | 0.2826 | 12.7761 | | 0.1197 | 2.04 | 3000 | 0.2952 | 12.4320 | | 0.2034 | 3.0 | 4000 | 0.2962 | 13.1970 | | 0.0344 | 3.1 | 5000 | 0.3039 | 11.5122 | | 0.0226 | 4.07 | 6000 | 0.3083 | 11.3549 | | 0.0097 | 5.04 | 7000 | 0.3187 | 11.4440 | | 0.0121 | 6.01 | 8000 | 0.3173 | 11.2258 | | 0.0015 | 6.11 | 9000 | 0.3219 | 11.1410 | | 0.0019 | 7.07 | 10000 | 0.3226 | 10.9782 | ### Framework versions - Transformers 4.28.0.dev0 - Pytorch 2.0.0+cu117 - Datasets 2.11.1.dev0 - Tokenizers 0.13.2