Whisper Small Santali Ipa

--- library_name: transformers license: apache-2.0 base_model: openai/whisper-small tags: - generated_from_trainer model-index: - name: whisper_small_santali_ipa 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_santali_ipa This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) 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: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 16 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 50 - num_epochs: 21 - mixed_precision_training: Native AMP ### Framework versions - Transformers 5.12.1 - Pytorch 2.11.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2

Source context: 5 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo shoibo/whisper_small_santali_ipa

Source context: 16 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo shoibo/whisper_small_santali_ipa