--- library_name: transformers language: - hr license: apache-2.0 base_model: openai/whisper-base tags: - generated_from_trainer metrics: - wer model-index: - name: whisper-base.hr results: [] --- # whisper-base.hr This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the GoranS/stt-croatian_99k_265_2 dataset. It achieves the following results on the evaluation set: - Loss: 0.3545 - Wer: 0.2541 ## 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: 6.25e-06 - train_batch_size: 64 - eval_batch_size: 32 - 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: 800 - num_epochs: 5 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:------:|:----:|:---------------:|:------:| | 0.6206 | 0.5450 | 1000 | 0.5805 | 0.4175 | | 0.4639 | 1.0899 | 2000 | 0.4649 | 0.3324 | | 0.3994 | 1.6349 | 3000 | 0.4169 | 0.2988 | | 0.3571 | 2.1798 | 4000 | 0.3907 | 0.2884 | | 0.3248 | 2.7248 | 5000 | 0.3748 | 0.2790 | | 0.2987 | 3.2698 | 6000 | 0.3660 | 0.2726 | | 0.3133 | 3.8147 | 7000 | 0.3589 | 0.2544 | | 0.2829 | 4.3597 | 8000 | 0.3565 | 0.2629 | | 0.2688 | 4.9046 | 9000 | 0.3545 | 0.2541 | ### Framework versions - Transformers 4.47.0 - Pytorch 2.5.1+cu124 - Datasets 3.1.0 - Tokenizers 0.21.0