| library_name: peft | |
| language: | |
| - multilingual | |
| license: mit | |
| base_model: openai/whisper-large-v3-turbo | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - wer | |
| model-index: | |
| - name: Whisper Turbo Multilingual | |
| 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 Turbo Multilingual | |
| This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the custom_multilingual dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.4791 | |
| - Wer: 18.75 | |
| ## 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: 0.001 | |
| - train_batch_size: 2 | |
| - eval_batch_size: 2 | |
| - seed: 42 | |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 5 | |
| - training_steps: 20 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Wer | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| | |
| | 0.3929 | 1.0 | 10 | 0.7320 | 21.875 | | |
| | 0.076 | 2.0 | 20 | 0.4791 | 18.75 | | |
| ### Framework versions | |
| - PEFT 0.15.2.dev0 | |
| - Transformers 4.46.3 | |
| - Pytorch 2.3.1+cu121 | |
| - Datasets 3.0.0 | |
| - Tokenizers 0.20.3 |