| --- |
| library_name: transformers |
| language: |
| - ha |
| license: apache-2.0 |
| base_model: openai/whisper-tiny |
| tags: |
| - generated_from_trainer |
| datasets: |
| - EYEDOL/naija-voices-hausa-split_0-0 |
| metrics: |
| - wer |
| model-index: |
| - name: EYEDOL/whisper-tiny-hausa |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: EYEDOL/naija-voices-hausa-split_0-0 |
| type: EYEDOL/naija-voices-hausa-split_0-0 |
| metrics: |
| - name: Wer |
| type: wer |
| value: 0.5221648941771085 |
| --- |
| |
| <!-- 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. --> |
|
|
| # EYEDOL/whisper-tiny-hausa |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the EYEDOL/naija-voices-hausa-split_0-0 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7752 |
| - Wer Ortho: 0.5775 |
| - Wer: 0.5222 |
| |
| ## 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: 32 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - 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: constant_with_warmup |
| - lr_scheduler_warmup_steps: 0.1 |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
| | 4.5185 | 1.0 | 665 | 1.2291 | 0.8407 | 0.7963 | |
| | 2.0880 | 2.0 | 1330 | 0.9774 | 0.7245 | 0.6717 | |
| | 1.6905 | 3.0 | 1995 | 0.8828 | 0.6599 | 0.6016 | |
| | 1.4668 | 4.0 | 2660 | 0.8334 | 0.6431 | 0.5829 | |
| | 1.3050 | 5.0 | 3325 | 0.7984 | 0.6149 | 0.5562 | |
| | 1.1746 | 6.0 | 3990 | 0.7819 | 0.6115 | 0.5516 | |
| | 1.0632 | 7.0 | 4655 | 0.7707 | 0.5996 | 0.5419 | |
| | 0.9630 | 8.0 | 5320 | 0.7678 | 0.5939 | 0.5360 | |
| | 0.8731 | 9.0 | 5985 | 0.7667 | 0.5963 | 0.5376 | |
| | 0.7893 | 10.0 | 6650 | 0.7752 | 0.5775 | 0.5222 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.8.3 |
| - Tokenizers 0.22.2 |
| |
