--- library_name: transformers license: apache-2.0 base_model: LuoYiSULIXAY/whisper-lao-finetuned_small_1 tags: - generated_from_trainer model-index: - name: whisper_small_aug results: [] --- # whisper_small_aug This model is a fine-tuned version of [LuoYiSULIXAY/whisper-lao-finetuned_small_1](https://huggingface.co/LuoYiSULIXAY/whisper-lao-finetuned_small_1) on the None 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: 4 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 8 - 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 - num_epochs: 10 - mixed_precision_training: Native AMP ### Training results ### Framework versions - Transformers 4.54.0 - Pytorch 2.6.0+cu124 - Datasets 4.0.0 - Tokenizers 0.21.2