| base_model: wcyat/whisper-small-yue | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: whisper-small-yue-5 | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # whisper-small-yue-5 | |
| This model is a fine-tuned version of [wcyat/whisper-small-yue](https://huggingface.co/wcyat/whisper-small-yue) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.3094 | |
| - Cer: 11.2185 | |
| ## 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: 16 | |
| - 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: 2000 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Cer | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| | |
| | 0.0079 | 2.83 | 1000 | 0.2938 | 11.8706 | | |
| | 0.0005 | 5.67 | 2000 | 0.3094 | 11.2185 | | |
| ### Framework versions | |
| - Transformers 4.37.0.dev0 | |
| - Pytorch 2.1.0+cu121 | |
| - Datasets 2.16.1 | |
| - Tokenizers 0.15.0 | |