| | --- |
| | language: |
| | - id |
| | license: apache-2.0 |
| | base_model: openai/whisper-tiny |
| | tags: |
| | - whisper-event |
| | - generated_from_trainer |
| | datasets: |
| | - mozilla-foundation/common_voice_9_0 |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: Whisper Small Indonesian |
| | results: |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: mozilla-foundation/common_voice_9_0 id |
| | type: mozilla-foundation/common_voice_9_0 |
| | config: id |
| | split: test |
| | args: id |
| | metrics: |
| | - name: Wer |
| | type: wer |
| | value: 31.750632620197837 |
| | --- |
| | |
| | <!-- 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 Indonesian |
| |
|
| | This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_9_0 id dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.4968 |
| | - Wer: 31.7506 |
| | |
| | ## 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: 8 |
| | - eval_batch_size: 4 |
| | - 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | | 0.6281 | 0.97 | 1000 | 0.5817 | 37.6950 | |
| | | 0.4018 | 1.94 | 2000 | 0.5157 | 34.2121 | |
| | | 0.2914 | 2.9 | 3000 | 0.4980 | 32.4960 | |
| | | 0.2078 | 3.87 | 4000 | 0.4968 | 31.7506 | |
| | | 0.1925 | 4.84 | 5000 | 0.4986 | 31.8749 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.31.0.dev0 |
| | - Pytorch 2.0.1+cu117 |
| | - Datasets 2.13.1 |
| | - Tokenizers 0.13.3 |
| |
|
