--- language: - zh license: apache-2.0 base_model: ZhihCheng/whisper-base-zh tags: - generated_from_trainer metrics: - wer model-index: - name: Whisper base zh v2 results: [] --- # Whisper base zh v2 This model is a fine-tuned version of [ZhihCheng/whisper-base-zh](https://huggingface.co/ZhihCheng/whisper-base-zh) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.1986 - Wer: 68.75 ## 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: 4 - 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: 25 - training_steps: 500 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:-----:| | 0.0375 | 0.85 | 50 | 0.1724 | 68.75 | | 0.0164 | 1.69 | 100 | 0.1800 | 68.75 | | 0.0044 | 2.54 | 150 | 0.1788 | 68.75 | | 0.0031 | 3.39 | 200 | 0.1927 | 68.75 | | 0.0009 | 4.24 | 250 | 0.1736 | 62.5 | | 0.0009 | 5.08 | 300 | 0.1984 | 75.0 | | 0.0006 | 5.93 | 350 | 0.2019 | 75.0 | | 0.0005 | 6.78 | 400 | 0.1988 | 75.0 | | 0.0005 | 7.63 | 450 | 0.1989 | 68.75 | | 0.0005 | 8.47 | 500 | 0.1986 | 68.75 | ### Framework versions - Transformers 4.38.0.dev0 - Pytorch 2.2.0a0+6a974be - Datasets 2.16.1 - Tokenizers 0.15.1