--- language: - zh 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: 0.1522 - Wer: 75.0 ## 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: 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 | |:-------------:|:-----:|:----:|:---------------:|:-----:| | 0.241 | 0.35 | 50 | 0.4000 | 75.0 | | 0.1766 | 0.71 | 100 | 0.3001 | 75.0 | | 0.1085 | 1.06 | 150 | 0.2594 | 81.25 | | 0.059 | 1.42 | 200 | 0.2162 | 81.25 | | 0.0412 | 1.77 | 250 | 0.1789 | 87.5 | | 0.0347 | 2.13 | 300 | 0.1431 | 68.75 | | 0.0172 | 2.48 | 350 | 0.1408 | 68.75 | | 0.0137 | 2.84 | 400 | 0.1408 | 68.75 | | 0.0081 | 3.19 | 450 | 0.1458 | 75.0 | | 0.0074 | 3.55 | 500 | 0.1522 | 75.0 | ### Framework versions - Transformers 4.38.0.dev0 - Pytorch 2.2.0a0+6a974be - Datasets 2.16.1 - Tokenizers 0.15.1