| --- |
| library_name: transformers |
| language: |
| - multilingual |
| license: apache-2.0 |
| base_model: openai/whisper-tiny.en |
| tags: |
| - generated_from_trainer |
| datasets: |
| - edutjie/bisix_su_id |
| metrics: |
| - wer |
| model-index: |
| - name: 'BisiX: Sundanese Whisper' |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: SU ID ASR |
| type: edutjie/bisix_su_id |
| config: su_id_asr_source |
| split: validation |
| args: su_id_asr_source |
| metrics: |
| - name: Wer |
| type: wer |
| value: 33.87865168539326 |
| --- |
| |
| <!-- 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. --> |
|
|
| # BisiX: Sundanese Whisper |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the SU ID ASR dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.0180 |
| - Wer: 33.8787 |
| - Cer: 11.6897 |
|
|
| ## 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 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 30 |
| - training_steps: 150 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
| |:-------------:|:------:|:----:|:---------------:|:-------:|:-------:| |
| | 4.3455 | 0.1765 | 30 | 2.4772 | 85.1326 | 33.9863 | |
| | 1.7093 | 0.3529 | 60 | 1.3486 | 41.4562 | 15.2167 | |
| | 1.2183 | 0.5294 | 90 | 1.1469 | 36.2247 | 12.5208 | |
| | 1.0676 | 0.7059 | 120 | 1.0517 | 34.6427 | 11.9084 | |
| | 0.9974 | 0.8824 | 150 | 1.0180 | 33.8787 | 11.6897 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.44.2 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 3.0.1 |
| - Tokenizers 0.19.1 |
|
|
