| --- |
| language: |
| - ig |
| license: apache-2.0 |
| base_model: openai/whisper-small |
| tags: |
| - generated_from_trainer |
| datasets: |
| - deepdml/igbo-dict-16khz |
| - deepdml/igbo-dict-expansion-16khz |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Small ig |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: google/fleurs |
| type: google/fleurs |
| config: ig_ng |
| split: test |
| metrics: |
| - name: Wer |
| type: wer |
| value: 46.10372101384145 |
| --- |
| <!-- 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 ig |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the google/fleurs dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.5879 |
| - Wer: 46.1037 |
|
|
| ## 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: 64 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - training_steps: 5000 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:-------:| |
| | 0.1171 | 0.2 | 1000 | 1.2732 | 44.9937 | |
| | 0.028 | 1.0814 | 2000 | 1.4495 | 46.2251 | |
| | 0.0277 | 1.2814 | 3000 | 1.4894 | 45.3892 | |
| | 0.0084 | 2.1628 | 4000 | 1.5629 | 44.6881 | |
| | 0.0065 | 3.0442 | 5000 | 1.5879 | 46.1037 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.42.0.dev0 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
| |
| ## Citation |
| |
| ```bibtex |
| @misc{deepdml/whisper-small-ig-mix, |
| title={Fine-tuned Whisper small ASR model for speech recognition in Igbo}, |
| author={Jimenez, David}, |
| howpublished={\url{https://huggingface.co/deepdml/whisper-small-ig-mix}}, |
| year={2025} |
| } |
| ``` |
