| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: openai/whisper-tiny |
| tags: |
| - automatic-speech-recognition |
| - whisper |
| - urdu |
| datasets: |
| - mozilla-foundation/common_voice_17_0 |
| - HowMannyMore/urdu-audiodataset |
| metrics: |
| - wer |
| - cer |
| - bleu |
| - chrf |
| model-index: |
| - name: whisper-tiny-urdu |
| results: |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: Common Voice 17.0 (Urdu) |
| type: mozilla-foundation/common_voice_17_0 |
| config: ur |
| split: test |
| args: ur |
| metrics: |
| - name: WER on Common Voice 17.0 |
| type: wer |
| value: 46.908 |
| - name: CER on Common Voice 17.0 |
| type: cer |
| value: 18.543 |
| - name: BLEU on Common Voice 17.0 |
| type: bleu |
| value: 32.631 |
| - name: ChrF on Common Voice 17.0 |
| type: chrf |
| value: 63.988 |
| language: |
| - ur |
| pipeline_tag: automatic-speech-recognition |
| --- |
| |
| <!-- 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-tiny-urdu |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_17_0 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7225 |
| - Wer: 47.8529 |
| |
| |
| ## Quick Usage |
| |
| ```python |
| from transformers import pipeline |
| |
| transcriber = pipeline( |
| "automatic-speech-recognition", |
| model="kingabzpro/whisper-tiny-urdu" |
| ) |
| |
| transcriber.model.generation_config.forced_decoder_ids = None |
| transcriber.model.generation_config.language = "ur" |
| |
| transcription = transcriber("audio2.mp3") |
| print(transcription) |
| ``` |
| |
| ```sh |
| {'text': 'دیکھیے پانی کب تک بہتا اور مچھلی کب تک تیرتی ہے'} |
| ``` |
| |
| ## Evaluation |
| |
| |
| | **Dataset** | **WER (%)** | **CER (%)** | **BLEU** | **ChrF** | |
| | ------------------------------ | ----------- | ----------- | -------- | -------- | |
| | Common Voice 17.0 (Urdu) | 46.908 | 18.543 | 32.631 | 63.988 | |
| | HowMannyMore/urdu-audiodataset | 51.405 | 21.830 | 31.475 | 64.204 | |
| |
| |
| |
| ## Training procedure |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 32 |
| - 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: cosine |
| - lr_scheduler_warmup_steps: 200 |
| - training_steps: 2500 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:-------:| |
| | 0.6808 | 1.6949 | 500 | 0.7403 | 52.6699 | |
| | 0.3948 | 3.3898 | 1000 | 0.6850 | 47.1247 | |
| | 0.2873 | 5.0847 | 1500 | 0.6994 | 48.1516 | |
| | 0.2024 | 6.7797 | 2000 | 0.7169 | 46.7326 | |
| | 0.183 | 8.4746 | 2500 | 0.7225 | 47.8529 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.51.3 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.1 |
|
|
