--- library_name: transformers license: apache-2.0 base_model: openai/whisper-large tags: - generated_from_trainer model-index: - name: whisper-large-lwazi-multilingual results: [] --- # whisper-large-lwazi-multilingual This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on an unknown dataset. ## 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: 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: 150 - training_steps: 1500 ### Framework versions - Transformers 4.53.0 - Pytorch 2.5.1+cu121 - Datasets 3.6.0 - Tokenizers 0.21.2