| --- |
| language: |
| - en |
| license: apache-2.0 |
| base_model: openai/whisper-small |
| tags: |
| - generated_from_trainer |
| datasets: |
| - rngzhi/cs3264-project |
| metrics: |
| - wer |
| model-index: |
| - name: Whipser Small - Singlish |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: National Speech Corpus(partial) |
| type: rngzhi/cs3264-project |
| metrics: |
| - name: Wer |
| type: wer |
| value: 5.379530430818327 |
| --- |
| |
| <!-- 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. --> |
|
|
| # Whipser Small - Singlish |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the National Speech Corpus(partial) dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2020 |
| - Wer: 5.3795 |
|
|
| ## 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: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - training_steps: 5000 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 0.0068 | 5.01 | 500 | 0.1508 | 5.4137 | |
| | 0.001 | 11.01 | 1000 | 0.1691 | 5.0832 | |
| | 0.0003 | 16.02 | 1500 | 0.1769 | 5.1060 | |
| | 0.0006 | 22.01 | 2000 | 0.1840 | 5.0946 | |
| | 0.0005 | 28.0 | 2500 | 0.1891 | 5.1174 | |
| | 0.0003 | 33.02 | 3000 | 0.1933 | 5.2086 | |
| | 0.0005 | 39.01 | 3500 | 0.1962 | 5.2997 | |
| | 0.0002 | 45.0 | 4000 | 0.1991 | 5.3339 | |
| | 0.0002 | 50.02 | 4500 | 0.2010 | 5.3681 | |
| | 0.0003 | 56.01 | 5000 | 0.2020 | 5.3795 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.40.0.dev0 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.18.1.dev0 |
| - Tokenizers 0.15.2 |
|
|
